MLinfo | 機械学習・AI論文まとめ

tensorflow — An Open Source Machine Learning Framework for Everyone

TensorFlowはオープンソースの機械学習フレームワークで、誰でも使用できるように設計されている。

用途: 人間に学習フレームワーク
難易度: Easy
コスト: Medium

pytorch — Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorchはPythonでTensorや動的ニューラルネットワークを実装でき、強力なGPUアクセラレーションをサポートしている。

用途: CUDAアクセラレーション付きのAI
難易度: Easy
コスト: Medium

netdata — The fastest path to AI-powered full stack observability, even for lean teams.

netdataは、チームに関係なくAIパワーで全システム観察できる最速のパスを提供している。

機械学習教師あり学習画像

用途: 全システム観察
難易度: Easy
コスト: Medium

streamlit — Streamlit — A faster way to build and share data apps.

streamlitはStreamlitライブラリを使って、データアプリを作成・共有することができる。

機械学習教師あり学習画像

用途: データアプリ作成
難易度: Easy
コスト: Medium

ML-For-Beginners — 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

マシンラーニングの入門コースを提供する。

用途: マシンラーニング入門
難易度: Easy
コスト: Medium

keras — Deep Learning for humans

kerasは、人類が開発できる深層学習フレームワークで、モデル定義からトレーニングまでを行うことが可能。

用途: 人間による深層学習
難易度: Easy
コスト: Medium

julia — The Julia Programming Language

juliaはJuliaプログラミング言語で、高速演算とパッケージ管理が可能である。

用途: Juliaプログラミング
難易度: Easy
コスト: Medium

photoprism — AI-Powered Photos App 🌈💎✨

photoprismはAIパワーで管理される写真管理アプリケーションで、写真の特徴や情報を自動的に検出することができる。

機械学習教師あり学習画像

用途: 写真管理
難易度: Easy
コスト: Medium

google-research — Google Research

google-researchはGoogle Researchで、研究者がアクセスすることができる機械学習リソースの一つである。

用途: Google研究
難易度: Easy
コスト: Medium

opencv — Open Source Computer Vision Library

このリポジトリでは、64MパラメータのGPTを完全にTrainingし、2時間以内に完成させる手法を提供します。

深層学習画像

用途: 大モデル 2時間で完全にTraining
難易度: Easy
コスト: High

cs249r_book — Machine Learning Systems

マシンラーニングシステムの理論と実装に関する本。

深層学習テキスト

用途: 機械学習システム
難易度: Easy
コスト: Medium

Paddle — PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

中国の工业界で開発された機械学習フレームワーク。並列化および分散処理を可能にしている。

用途: 機械学習フレームワーク
難易度: Easy
コスト: Medium

AirSim — Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Microsoftにより開発されたオープンソースのシミュレータ、AirSimはリアルテンポでの自動運転車の動作をシミュレートすることができます。

用途: 自動運転車のシミュレーション
難易度: Easy
コスト: Medium

vision — Datasets, Transforms and Models specific to Computer Vision

コンピュータビジョンのデータセット、変換、モデルのライブラリ。

用途: コンピュータビジョン
難易度: Easy
コスト: Medium

carla — Open-source simulator for autonomous driving research.

CARLAは、オープンソースのシミュレータで、主に自動運転研究のために使われます。このシミュレータを使うことで、車両などのロボットをシミュレートし、様々なシナリオを実行できます。

用途: 自動運転研究用のオープンソースシミュレータ
難易度: Easy
コスト: Medium

colmap — COLMAP - Structure-from-Motion and Multi-View Stereo

このライブラリは、3次元幾何学とモーションの解析のためのオープンソースライブラリです。このライブラリは、複数の視点からの画像を扱い、構造計算とマルチビューステレオの解析をサポートしています。

用途: 3次元幾何学とモーションの解析
難易度: Easy
コスト: Medium

kornia — 🐍 Geometric Computer Vision Library for Spatial AI

このリポジトリでは、金融分野に適したLarge Language Modelsを提供しています。

コンピュータビジョン画像

用途: 金融用のLarge Language Models
難易度: Easy
コスト: High

品質予測/異常検知機械学習教師あり学習分類検出画像

fiftyone — Refine high-quality datasets and visual AI models

FiftyOneは、データセットの精査とAIモデル可視化を支援するライブラリです。このライブラリは、データセットの品質を高め、AIモデルを可視化するのを支援するために使用できます。

用途: データセットの精査とAIモデル可視化
難易度: Easy
コスト: Low

machine-learning-for-trading — Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

LLMの推論 Transparency を高めるために、DiffusionGemmaの計算を分離しVariable Transparency とAlgorithmic Transparencyを評価します。

用途: LLMの透明性、誤用、過度安定化を理解する
難易度: Easy
コスト: High

Book-Mathematical-Foundation-of-Reinforcement-Learning — This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

Mathematical Foundations of Reinforcement Learningは、ディープラーニングにおける推論力学習の数学的基礎を網羅している。

用途: ディープラーニングに関する本書の制作
難易度: Easy
コスト: Medium

Gymnasium — A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Gymnasiumは、シングルエージェントRLの疑似環境を提供するAPIです。

用途: 疑似環境を提供する
難易度: Easy
コスト: Medium

RLinf — RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI

この研究では、弾性シミュレーションに基づいて、エピソード間の状態を保つために、リプラスの重みと、エピソードの初期状態を用いました。

用途: 弾性シミュレーション
難易度: Easy
コスト: Medium

weaviate — Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.

ベクトル検索と構造化されたフィルタリングを組み合わせたベクターデータベースです。

MLOps生成画像

用途: ベクターデータベース
難易度: Easy
コスト: Medium

mlops-zoomcamp — Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort

面倒なシーケンスデータ処理を自動化するツールであるChiplingoが提案されました。

MLOps

用途: AIモデルへのデータ補完
難易度: Easy
コスト: Medium

deepinv — DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning

ピラミードライブラリを使ったイメージインバース問題の解決に使えるライブラリです。

生成AI拡散モデル画像自己教師

用途: イメージインバース問題の解決
難易度: Easy
コスト: High

HanLP — 中文分词词性标注命名实体识别依存句法分析成分句法分析语义依存分析语义角色标注指代消解风格转换语义相似度新词发现关键词短语提取自动摘要文本分类聚类拼音简繁转换自然语言处理

中文分词词性标注命名实体识别依存句法分析成分句法分析语义依存分析语义角色标注指代消解风格转换语义相似度新词发现关键词短语提取自动摘要文本分类聚类拼音简繁转换自然语言处理

機械学習教師あり学習分類テキスト

用途: 分類
難易度: Easy
コスト: Low

自然言語処理大規模言語モデルテキストマルチモーダル自己教師

unilm — Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

用途: 実装・検証基盤
難易度: Easy
コスト: High

TextBlob — Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

テキスト分析、センチメント分析や単語分割などを行えるライブラリ。

自然言語処理テキスト音声

用途: テキスト分析
難易度: Easy
コスト: Medium

modelscope — ModelScope: bring the notion of Model-as-a-Service to life.

ModelScopeは、モデルをサービス化するためのプラットフォームです。モデルを作成し、ホスティングし、管理し、配信することができます。

自然言語処理音声

用途: モデルをサービス化する
難易度: Easy
コスト: Medium

Sharp Rates and a One-Line Correction for Spectral Representation Learning

A self-supervised encoder is trained once, frozen, and reused through lightweight probes on tasks nobody named

深層学習軽量化・量子化埋め込み自己教師

用途: 埋め込み
難易度: Hard
コスト: High

少数データ向き自然言語処理RAG生成テキストマルチモーダル

A Language-Guided Multimodal Foundation Model for Zero-Shot and Multi-Task Brain Signal Analysis

Brain signal analysis is essential for both neuroscience research and clinical diagnostics, yet current approa

用途: 生成
難易度: Hard
コスト: High

センサ/時系列品質予測/異常検知自然言語処理RAG検出異常検知予測

GSLAD: Prototype-Regularized Graph Structure Learning for Multivariate Time Series Anomaly Detection

Unsupervised multivariate time series anomaly detection methods typically identify anomalies through forecasti

用途: 検出
難易度: Hard
コスト: High

Graph Matching Relaxations and Amortization for Supervised Graph Prediction

End-to-end Supervised Graph Prediction (SGP) requires a permutation-invariant loss to compare predicted and ta

自然言語処理RAG

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

センサ/時系列品質予測/異常検知自然言語処理大規模言語モデル生成テキスト時系列

CodeTS: Verifiable Text-to-Time Series Generation via Executable Code

Text-to-Time Series Generation (Text-to-TS) provides a promising paradigm for synthesizing time series from na

用途: 生成
難易度: Hard
コスト: High

Admissable: Training Reinforcement Learning Agents against Adversarial Missingness

In order to make Reinforcement Learning algorithms applicable in real world scenarios, safety must be ensured

機械学習教師あり学習強化学習

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

センサ/時系列深層学習Transformer検出異常検知音声

MAST: Label-Efficient, Robust, and Generalizable Sound Detection for Biodiversity Monitoring via Masked Audio Pretraining and Self-Training

Passive acoustic monitoring can measure biodiversity at larger scales, but time--frequency annotation of anima

用途: 検出
難易度: Hard
コスト: High

Nearly Minimax-Optimal Regret for Linear Contextual Bandits with Arbitrary Adaptive Action Sets

We study stochastic linear contextual bandits with arbitrary action menus that may depend on the fixed paramet

機械学習教師あり学習テキスト

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

woma: a real-time foundation model and its fine-tuned models for endoscopy

woma is a real-time foundation model for gastrointestinal endoscopy: a network trained without labels on about

自然言語処理ファインチューニング動画自己教師

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

Predicting build orientation for SLM dental parts: a comparison of rotation representations and direct vector regression

Build orientation for selective laser melting (SLM) manufacturing of dental parts is usually chosen manually b

品質予測/異常検知深層学習CNN回帰画像教師なし

用途: 回帰
難易度: Hard
コスト: High

Scalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis

This paper presents a systematic examination and experimental comparison of the prominent Federated Learning (

CPUで試しやすい機械学習教師あり学習

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

Potential of Artificial Intelligence Algorithms for Identification of Relevant Diagnostic and Prognostic Biomarkers of Early-Stage Liver Cancer

This study explores the use of deep learning and explainable artificial intelligence to diagnose hepatocellula

説明可能機械学習教師あり学習教師あり半教師あり

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

品質予測/異常検知深層学習軽量化・量子化画像テキスト動画

VideoScout: Learning Agentic Active Exploration with Adaptive Reasoning Pacing for Long Video Understanding

Multimodal Large Language Models (MLLMs) have achieved remarkable progress on short video understanding yet re

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

Dynamic Semantic Compression for Efficient Latent-Space Inference in Large Language Models

Large Language Models (LLMs) primarily perform inference at the token level, resulting in substantial memory o

深層学習軽量化・量子化生成テキスト教師あり

用途: 生成
難易度: Hard
コスト: High

品質予測/異常検知自然言語処理大規模言語モデル検出教師なし

Why LLM Agents Collapse Without Oversight: The Enforcement Gap as the Mechanism Behind Emergence World Failures

When Emergence World placed frontier LLM agents in an unsupervised multi-agent simulation, the results were al

用途: 検出
難易度: Hard
コスト: High

深層学習Transformer画像テキストマルチモーダル

AdaVSkip: Adaptive Visual Token Skipping Across Layers For Efficient MLLMs Inference

Multimodal large language models (MLLMs) require substantial computation to process numerous visual tokens acr

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

センサ/時系列深層学習Transformer分類自己教師

Domain Generalization for Smartphone-Based Human Activity Recognition: A Systematic Analysis of Components and Interactions

Smartphone-based Human Activity Recognition (HAR) models often degrade under distribution shifts caused by cha

用途: 分類
難易度: Hard
コスト: High

A Memristive Synapse for Online STDP Learning and Inference in SNNs

This work presents a fully analog memristive synaptic circuit for online spike-timing-dependent plasticity (ST

機械学習教師あり学習生成教師あり教師なし

用途: 生成
難易度: Hard
コスト: Medium

Inoculation Midtraining with Learned Neologisms

Large language models (LLMs) often learn both desirable and undesirable properties during post-training. We st

自然言語処理大規模言語モデルテキスト強化学習

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

What Limits Us? Analyzing Self-Reported Limitations in NLP Research

Since late 2022, a Limitations section has become mandatory at many top-tier NLP conferences. The growing numb

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

SALUTE: Benchmarking and Adapting LLMs for the Defense Domain

Defense is a knowledge-intensive domain that requires precise understanding of specialized terminology, doctri

自然言語処理大規模言語モデルテキスト

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

TRACE: Two-Stage Detector-Response Estimation With Angular Cosine Expansion for Ring Artifact Correction in Photon-Counting CT

Detector response nonuniformity introduces systematic projection errors and ring artifacts in photon-counting

深層学習軽量化・量子化検出生成画像

用途: 検出
難易度: Hard
コスト: High

Multi-Stage NeRF for Efficient 3D Coronary Artery Reconstruction from Two Narrow-Angle Angiographic Projections

X-ray coronary angiography is the clinical gold standard for coronary artery disease during real-time cardiac

深層学習軽量化・量子化画像3D自己教師

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

CatchMonitor: a machine learning system for automated fish discard quantification

We report on the continued development of CatchMonitor, resulting in a prototype computer vision system design

機械学習教師あり学習動画教師あり半教師あり

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

Learning from Reliable Negatives: Confidence-Anchored Test-Time Adaptation for GUI Grounding

Graphical User Interface (GUI) grounding is essential for autonomous agents to map natural language instructio

自然言語処理ファインチューニングテキスト強化学習

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

AlignUS: MRI-Guided Ultrasound Representation Learning for ALS Classification from Tongue Images

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease in which early assessment remai

深層学習軽量化・量子化分類生成埋め込み

用途: 分類
難易度: Hard
コスト: High

品質予測/異常検知深層学習軽量化・量子化セグメンテーション3D教師なし

Unsupervised Point Cloud Registration via Training-Time Semantic Guidance

Unsupervised registration of large-scale LiDAR point clouds remains challenging due to the geometric ambiguity

用途: セグメンテーション
難易度: Hard
コスト: High

Deep Learning-based Intelligent Diagnosis of Congenital Uterine Anomalies in 3D Ultrasound

Objective: To develop an intelligent framework, termed CUA-Net, for the automated classification of congenital

深層学習CNN分類音声3D

用途: 分類
難易度: Hard
コスト: High

Weakly Supervised Spatial Grounding for Discriminative Attention-Based Ultrasound-Histopathology Alignment in Prostate Cancer Grading

Unpaired cross-modal distillation transfers grade structure from histopathology into a micro-ultrasound (micro

深層学習軽量化・量子化音声マルチモーダル

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

品質予測/異常検知深層学習Transformer画像テキスト教師なし

Automated Perceptually-Motivated Assessment of Photographic Consistency in Paired Clinical Photographs: Pipeline Development and Internal Evaluation

Purpose: Paired pre- and post-operative photographs are the standard unit of evidence for plastic surgical out

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Low

PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models

We present PhysBrain 1.5, a unified model for understanding physical environments, generating actions, and pre

自然言語処理大規模言語モデル画像テキスト動画

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

ThreshGuide: Class-Aware Labeled-Guided Thresholding for Semi-Supervised 3D Abdominal Multi-Organ Segmentation

Pseudo-labeling is a strong paradigm for semi-supervised medical image segmentation, yet its effectiveness is

自然言語処理RAGセグメンテーション画像3D

用途: セグメンテーション
難易度: Hard
コスト: High

センサ/時系列深層学習Transformerテキスト教師あり自己教師

Touch2Trace: Tactile-Driven Imitation Learning for Dexterous Cable Tracing

Dexterous manipulation of deformable objects demands continuous fingertip-level regulation of pressure, fricti

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

DuctAM: A Duct-Assisted Quadrotor-Based Aerial Manipulator Enabling High-Force Push-and-Pull Interactions

Uncrewed Aerial Manipulators (UAMs) extend the capabilities of Uncrewed Aerial Vehicles (UAVs) from perception

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

DIDO: Distilling Interaction-Centric Dynamics into One-Step Denoising for World Action Models

World Action Models (WAMs) use video generation models to predict future visual dynamics for robotic manipulat

深層学習軽量化・量子化生成画像動画

用途: 生成
難易度: Hard
コスト: High

Understanding User Preferences of a Slope-Aware Variable-Admittance Filter for a Robot Guide Dog

This letter investigates how the parameters of a slope-aware variable-admittance filter influence user prefere

少数データ向きセンサ/時系列強化学習画像

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

PredTac: Learning Contact-Rich Manipulation with Predicted Touch

Contact-rich manipulation benefits from tactile feedback, yet physical tactile sensors introduce hardware, cal

センサ/時系列強化学習画像

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

On the Hardness of Maximin Share Allocations

The maximin share (MMS) guarantee is a central fairness benchmark for allocating indivisible items. Since Kuro

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Differentially Private Multicolor Discrepancy and Fair Division of Indivisible Goods

We study the fair division of indivisible goods under pure differential privacy, continuing the line of work i

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Tight Subsidy Bounds for Weighted Proportional Allocation of Mixed Manna

We study the problem of fairly allocating m indivisible items among n agents with possibly unequal entitlement

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Improved Impossibility Bounds for Maximin Share Allocations

The maximin share (MMS) is a central fairness benchmark for allocating indivisible items, but it need not be s

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Strategic Decision Focused Learning

Machine learning (ML) predictions are increasingly being used to guide decision-making, giving rise to the pro

品質予測/異常検知強化学習

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

OpenBB — Open Data Platform for analysts, quants and AI agents.

OpenBBは、分析家・量算家・AIエージェント用の金融データプラットフォームを提供している。

用途: 金融分析用データ
難易度: Easy
コスト: Medium

scikit-learn — scikit-learn: machine learning in Python

scikit-learnはPythonで機械学習を行うことができるライブラリで、データの分類・可視化・特徴量選択などが可能である。

CPUで試しやすい機械学習教師あり学習

用途: マシンラーニング
難易度: Easy
コスト: Medium

ColossalAI — Making large AI models cheaper, faster and more accessible

ColossalAIは、より安く、速く、よりアクセスが容易な-large AIモデルの作成に適したフレームワークを提供します。

機械学習教師なし学習

用途: 分散型AIモデルのコスト削減
難易度: Easy
コスト: Medium

pytorch-lightning — Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

AIモデルを高速にトレーニングするためのライブラリ。1台から10000台のGPUで利用可能。

用途: AIモデルトレーニング
難易度: Easy
コスト: High

fastai — The fastai deep learning library

「fastai」は、深層学習のライブラリです。

用途: 機械学習ライブラリ
難易度: Easy
コスト: Medium

vowpal_wabbit — Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Vowpal Wabbitは、機械学習を進歩させるためのオンライン学習、ハッシュ、reduceなどの強力なアルゴリズムを含むシステムです。その結果、さまざまな問題に応じて、高品質な解決策を提供できます。

強化学習テキスト

用途: 強い機械学習アルゴリズムを実行し複雑な問題を解決するためのシステム
難易度: Easy
コスト: Medium

AI-Papers-of-the-Week — 🔥Highlighting the top ML papers every week.

最新のマシンラーニング研究論文を紹介している。

自然言語処理

用途: 最新のML研究論文
難易度: Easy
コスト: Medium

compromise — modest natural-language processing

この研究では、自然言語処理の負担を減らすモジュラリティを目指しています。モジュラリティとは、システムを小さくて独立した部分に分割して、それぞれを簡素化することです。この研究では、文脈に応じてモジュラリティを変更できるメカ

自然言語処理分類音声

用途: 自然言語処理の簡素化
難易度: Easy
コスト: Low

Pathwise Individual Rationality in Federated Learning: A Mechanism-Architecture Co-Design

Participation in federated learning (FL) comes at a cost. Clients trade off privacy, communication, and comput

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

Selecting k Paths with the Minimum Longest Path Length in the Stochastic Semi-Bandit Setting

When performing parallel data transmission through a network using multiple paths, it is practically important

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Follow the Geometry, Not the Model: Cold Start Semi-Supervised Learning

Modern semi-supervised learning (SSL) couples pseudo-label generation and classifier training, using the class

自然言語処理RAG分類生成教師あり

用途: 分類
難易度: Hard
コスト: High

Neural Modal Decomposition: Architectural Priors from Observables

Many engineering building blocks behave as multi-port linear time-invariant systems. RF cavities, photonic dev

説明可能深層学習Transformer回帰

用途: 回帰
難易度: Hard
コスト: High

S3-Tracker: Self-Supervised Surgical Tissue Tracking With Contrastive Random Walks

Robust point tracking in endoscopic videos is essential for computer-assisted intervention and autonomous robo

機械学習半教師あり学習画像動画半教師あり

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

Enemray: Toward Capable Language Models for Hassaniya

We introduce Enemray, a Hassaniya-centric language model that enables general-purpose interaction in Hassaniya

MLOpsモデルデプロイ検出生成テキスト

用途: 検出
難易度: Hard
コスト: High

MI向き品質予測/異常検知自然言語処理大規模言語モデル生成テキスト

CALICO: A Human-Centered, Codebook-Aligned System for Annotation

Large language models are increasingly used to scale codebook-based annotation in scientific research, but exi

用途: 生成
難易度: Hard
コスト: High

深層学習Transformer画像音声マルチモーダル

Exploring Multimodal Turn-Taking Cues in Face-to-Face Conversation using Voice Activity Projection

Turn-taking is a fundamental component of spoken interaction, and while humans naturally rely on both verbal a

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

Domain-specific Pretraining Profile and Transformer Performance: Evidence from Modeling Digital Pragmatics in Arabic-English Code-switching

This study highlights the role of domain-specific pretraining profile (DSPP) in Transformer performance for mo

深層学習Transformer分類テキスト

用途: 分類
難易度: Hard
コスト: High

Policy Loopholes in Agent Evaluation: When Policy Ambiguity Masquerades as Agent Error

Agent benchmarks evaluate policy compliance but assume each policy determines a unique correct action. Natural

品質予測/異常検知自然言語処理

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Document Topic Alignment Metrics for Evaluating Topic Models of Short-Text Public Health Communications on Social Media

Topic models are widely used to analyze public health-related social media short texts, yet their evaluation r

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Corpus Characterization and Inverse Constitutional Fine-Tuning for Style-Aware Radiology Reports

Automated radiology report generation has advanced rapidly in diagnostic accuracy, yet generated reports frequ

深層学習Transformer生成テキスト

用途: 生成
難易度: Hard
コスト: High

arxivGitHubあり2026-09-13

POLARIS: Training-Free Audio Fingerprinting with Saliency-Based Landmarks and Delaunay Grouping

This work presents POLARIS, a training-free audio fingerprinting system that selects landmarks from a locally

コンピュータビジョン音声

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

Floquet Fibre Geometry and Higher-Order Reduced Coordinates for Off-Manifold Transients near Nonlinear Aeroelastic Flutter

Assigning reduced coordinates to states near an attracting limit cycle requires the correct invariant-fibre ge

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

自然言語処理ファインチューニング生成テキストマルチモーダル

Open-UniMo: Towards Unified Motion-Language Understanding and Generation in the Open World

Unified motion generation and understanding is crucial for embodied AI systems that can both synthesize and in

用途: 生成
難易度: Hard
コスト: High

Beyond Natural Images: Rethinking AI-Generated Image Detection in Documents

AI-generated image detection has attracted increasing attention, but existing evaluations mainly focus on natu

コンピュータビジョン検出生成画像テキスト

用途: 検出
難易度: Hard
コスト: High

Orientation Control of Soft Robots via Adiabatic Spectral Submanifolds

Soft robots are commonly sought for safety-critical interactions in delicate environments, where accurate posi

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

The Matroid Secretary Conjecture is True

We resolve the matroid secretary conjecture, giving an online algorithm that accepts each element of the offli

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

fastbook — The fastai book, published as Jupyter Notebooks

The fastai book, published as Jupyter Notebooks

用途: 実装・検証基盤
難易度: Easy
コスト: Medium

learnopencv — Learn OpenCV : C++ and Python Examples

OpenCVを用いて画像処理の学習方法を紹介している。

用途: OpenCVの学習
難易度: Easy
コスト: Medium

PufferLib — Puffing up reinforcement learning

用途: 強化学習用ライブラリ
難易度: Easy
コスト: Medium

nltk — NLTK Source

このリポジトリは、Natural Language Toolkit（NLT）のソースコードを収録しています。

自然言語処理

用途: Natural Language Toolkit（NLT）ソース
難易度: Easy
コスト: Medium

品質予測/異常検知自然言語処理大規模言語モデル翻訳テキスト強化学習

North Small Translate: Advanced Cost-Effective Translation (Cohere CAT+)

We present North Small Translate, an open-weight, LLM-based machine translation (MT) model with instruction-fo

用途: 翻訳
難易度: Hard
コスト: High

品質予測/異常検知コンピュータビジョン動画認識生成予測テキスト

Phorecaster365: A Human-Supervised Reference Architecture for Hybrid Pharmaceutical Sales Forecasting and Planning Decision Support

Pharmaceutical sales forecasts inform planning across products, regions, and distribution channels, yet their

用途: 生成
難易度: Hard
コスト: High

Understanding the Limits of Agentic ICD Coding

ICD-10-CM codes are alphanumeric codes used in the US to classify diagnoses and injuries for medical billing a

MI向き自然言語処理分類

用途: 分類
難易度: Hard
コスト: Low

FaithfulBench: Does AI Counsel Uphold or Undermine the User's Professed Faith?

Do AI assistants help believers reason about moral dilemmas consistently with their faith? We present Faithful

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

自然言語処理大規模言語モデル検出生成セグメンテーション

Adapting Open-Weight MLLMs to Generate Point Prompts for Electron Microscopy Segmentation

Promptable models such as microSAM segment electron microscopy (EM) images from point prompts, but automation

用途: 検出
難易度: Hard
コスト: High

Development of Low-Cost Real-Time Driver Drowsiness Detection System using Eye Centre Tracking and Dynamic Thresholding

One in every five vehicle accidents on the road today is caused simply due to driver fatigue. Fatigue or other

コンピュータビジョン検出画像

用途: 検出
難易度: Hard
コスト: Medium

コンピュータビジョン物体検出検出セグメンテーション画像

Rank-Consistent Set Reasoning for Co-Salient Object Detection

Co-salient object detection (Co-SOD) requires a model to find foreground regions that are salient in individua

用途: 検出
難易度: Hard
コスト: Medium

Gradient-Free Neural Hamilton-Jacobi Reachability for Scalable Safety-Critical Control

Hamilton-Jacobi (HJ) reachability provides a principled framework for synthesizing safety certificates and rob

自然言語処理大規模言語モデル

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

Mobile Multi-Robot Navigation under Runtime Uncertainty via Koopman Operator Learning and Nonlinear Model Predictive Control

In this work, we developed a nonlinear model predictive control (NMPC) framework that employs learned dynamics

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Consistency-Robustness Tradeoffs for Strategyproof Scheduling with Predictions

We study strategyproof scheduling on $n$ unrelated machines with predictions. Each machine is controlled by

強化学習テキスト

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Stabilizing Performative Feedback Loops with Minimal Model Deployments

When algorithmic predictions inform people's decisions, the models we deploy are performative and actively sha

深層学習軽量化・量子化教師あり

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

arxivGitHubあり2026-09-11

CVSS-X: A Multilingual Speech-to-Speech Translation Corpus for 28 Languages

We introduce CVSS-X, a large-scale synthetic speech-to-speech translation corpus that extends CVSS by reversin

品質予測/異常検知自然言語処理テキスト音声

用途: 技術検証・論文読解補助
難易度: Easy
コスト: Medium

Continue, Adapt, or Yield: In-Turn Adaptation to Overlapping Speech in Full-Duplex Agents

Full-duplex evaluation often emphasizes whether an agent keeps speaking or stops. That binary cannot express a

品質予測/異常検知自然言語処理音声

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

MP-Bench: Evaluating Voice Agents as a Multiparty Conversation Participant

Conversational voice agents have advanced significantly, offering increasingly natural human-machine interacti

自然言語処理テキスト音声

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

品質予測/異常検知深層学習軽量化・量子化音声教師あり自己教師

Kraken: LLM-based Speech-to-Speech Translation via Low-bitrate VQ and Dual-path Source Conditioning

Speech-to-speech translation (S2ST) has advanced significantly with speech LLMs, offering the potential for jo

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

品質予測/異常検知自然言語処理RAG生成画像テキスト

arxivGitHubあり2026-09-11

Generative Retrieval for Unsupervised Text-Based Person Search

Text-based person search (TBPS) aims to retrieve images of a target person from a large image gallery based on

用途: 生成
難易度: Hard
コスト: High

品質予測/異常検知コンピュータビジョンテキスト動画

MGAvatar: Mesh-Bound Gaussians for Head Avatar Geometry and Appearance Modeling

Accurate head modeling requires a stable yet expressive geometric representation. Existing Gaussian-based head

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

Chance-Constrained Belief-Space Maneuver Planning for Autonomous Collision Avoidance Under Uncertainty

Increasing conjunction frequency in low Earth orbit places growing pressure on spacecraft operators to determi

品質予測/異常検知強化学習

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Global Path Planner with Multi-Model Switching

This work enhances global path planning via a pure-pursuit controller with multi-model kinematic switching tha

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

ARC: Autonomous Robotics Compliance A Three-Layer Governance Architecture for Deployed Autonomous Systems

Proposed governance framework for autonomous robotic systems, introducing a three-layer compliance architectur

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Robust Underwater Grasping of Sloped Objects with a Waterproof Passive Adaptive Gripper

Robust grasping of everyday objects remains challenging for parallel-jaw grippers, particularly when handling

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

VertexCBF: Improving Neural Control Barrier Functions via Vertex-Restricted Control Search

As the number of autonomous robots continues to grow, safety becomes increasingly important. Control barrier f

説明可能深層学習軽量化・量子化教師あり

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Breaking the Vision-Action Shortcut: Latent Interface Training for Generalizable Robotics Foundation Models

Robot foundation models achieve strong in-distribution performance but often degrade under visual distribution

自然言語処理RAG生成画像マルチモーダル

用途: 生成
難易度: Hard
コスト: High

Quantifying Spectral Differences in Vehicle Between Production Autonomous and Human-Driven Vehicles Across Driving Scenarios

Differences in vehicle kinematic characteristics between production autonomous vehicles (PAVs) and human-drive

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Autonomous Precision Milling of Biological Structures via Generic Anatomical Priors and Active Boundary Perception

Autonomous precision milling of biological structures is challenged by incomplete knowledge of target geometry

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Understanding Whole-Body Robot Teleoperation Strategies Under Diverse Task Objectives and Constraints

This work investigates the control strategies of complex whole-body robot teleoperation that coordinate active

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

NFT-Based Reward Mechanisms: Sybil Farming, Vesting, and Stochastic Verification

We study NFT-based reward mechanisms in which a user can create multiple identities and submit fraudulent clai

強化学習検出

用途: 検出
難易度: Hard
コスト: Medium

Learning-Augmented Strategyproof Facility Location in $\mathbb{R}^d$ with $\ell_p$ Distances

We study learning-augmented mechanism design for locating a single facility in $\mathbb{R}^d$ to minimize the

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

A Randomized $\frac32$-Approximation for Strategic Facility Location on a Circle

We study strategyproof mechanisms for locating a single facility on a circle so as to serve a set of strategic

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

MicroHasTEE: Bare-Metal Haskell for Type-Level Peripheral Ownership on Armv8-M

Arm TrustZone for Armv8-M isolates Secure and Non-secure software, but developers must still coordinate periph

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

PDoS: A Profitable Denial-of-Service Attack against Proof-of-Work Blockchain Liveness

The security and liveness of Proof-of-Work (PoW) blockchains fundamentally depend on the economic rationality

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

huggingfaceHugging Faceあり2026-09-11

Agent as Policy for Robotic Manipulation

We demonstrate that a general-purpose agent can directly drive a physical robot throughout task execution with

機械学習教師あり学習画像動画

用途: 技術検証・論文読解補助
難易度: Easy
コスト: High

huggingfaceHugging Faceあり2026-09-11

MInTRL: Off-policy Intervention can boost On-policy RL

Reinforcement learning with verifiable rewards is typically performed on-policy, keeping training data close t

自然言語処理RAG生成回帰強化学習

用途: 生成
難易度: Easy
コスト: High

huggingfaceHugging Faceあり2026-09-11

StepAudio 3 Gen Technical Report

We introduce StepAudio 3 Gen, a general-purpose audio generation model that supports zero-shot text-to-speech

センサ/時系列深層学習Transformer生成テキスト音声

用途: 生成
難易度: Easy
コスト: High

githubGitHubあり2026-09-11

cs-video-courses — List of Computer Science courses with video lectures.

このリポジトリはコンピュータサイエンスのビデオコースの一覧を提供しています。

機械学習教師あり学習動画

用途: 教育資源の共有
難易度: Easy
コスト: High

Quantitative Diffusive Limits for Singular Nonlocal Transport

We study the nonlocal continuity equation \[ \partial_tμ_b =\operatorname{div}\!\left( μ_b\nabla\log\bigl((I-b

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Hierarchical Clustering Can Jointly Satisfy Richness, Consistency, and Scale Invariance

Despite its ubiquity, clustering lacks a universally accepted definition of what is a cluster. Kleinberg's Imp

機械学習教師なし学習

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

コンピュータビジョンセグメンテーション分類教師あり

Importance Weighting for Unlabeled-unlabeled Learning under Distribution Shift

Unlabeled-unlabeled (UU) learning allows us to learn a binary classifier from two sets of unlabeled data with

用途: 分類
難易度: Hard
コスト: High

Learning Interaction Kernels from Collective Steady States

We propose a learning procedure for system identification in interacting particle systems from single-snapshot

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Predicting Privacy Leakage from Weight Spectral Density

Membership inference attacks (MIAs) are widely used to audit the privacy disclosure risk of machine learning m

表形式向き機械学習教師あり学習分類画像表形式

用途: 分類
難易度: Hard
コスト: High

Mission Performance: Automatic and Adaptive Race Pace Progression for Autonomous Racing

In this paper, we describe the Mission Performance module implemented for a fully autonomous racing car to aut

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Pneumatic neurons for soft robots enable inflate-and-fire networks for rhythmic motion

Animals coordinate their movements through distributed neural circuits, but soft robots still typically depend

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

arxivGitHubあり2026-09-10

Aerodynamic Prior-Free Coordinated Trajectory Generation and Tracking Control for a Tail-Sitter UAV

This paper presents a coordinated trajectory generation and tracking control framework for a tail-sitter unman

強化学習生成

用途: 生成
難易度: Hard
コスト: Medium

Contact-Aware Incremental Model Predictive Control for an Underactuated Aerial Manipulator

We present a robust contact-aware control framework for aerial writing on an underactuated platform. The frame

センサ/時系列強化学習

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Quasi-static analysis of passive stability in a novel underactuated multi-finger hand

Underactuated robotic hands achieve adaptive and robust grasping with a reduced number of actuators, but predi

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

FARM: Reading Failure Signals from the Internal Predictive States of a Frozen Robotic World Model

Reliable robot deployment requires online failure monitoring, yet existing monitors mainly derive risk from pr

強化学習方策勾配 (PPO / A3C)

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

huggingfaceHugging Faceあり2026-09-10

SenseNova-U1.5: Towards Native Unified Visual Intelligence

We launch SenseNova-U1.5, an 8B-MoT native unified multimodal model that understands, reasons about, and gener

MI向き深層学習軽量化・量子化生成画像テキスト

用途: 生成
難易度: Easy
コスト: High

huggingfaceHugging Faceあり2026-09-10

Mi-Ripple: Restoring Images Degraded by Iterative AI Editing

Iterative reference-conditioned image editing can introduce grid-like and granular textures, commonly describe

機械学習教師あり学習生成画像テキスト

用途: 生成
難易度: Easy
コスト: Medium

arxivPaper only2026-09-09

Relatively Smart II: Tractable or Semi-Supervised Instance-Optimal Learning

We continue the study of relatively smart learning, introduced by Dughmi and Pour (2026), which asks a supervi

コンピュータビジョンセグメンテーション分類音声半教師あり

用途: 分類
難易度: Hard
コスト: Low

arxivPaper only2026-09-09

STV Audit Graphs: A Visual Tool to Measure Election Stability

The Single Transferable Vote (STV) is an algorithmic election rule. Round by round, a profile of ranked-choice

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

arxivPaper only2026-09-09

Non-Existence of PMMS Allocations and a $4/3$-PMMS Guarantee for Additive Chores

We study pairwise maximin share (PMMS) fairness for indivisible items with additive preferences. We give a pol

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

huggingfaceHugging Faceあり2026-09-09

LLaDA-UI: Bringing Block-wise Diffusion to Vision-Language GUI Agents

Diffusion large language models (dLLMs) achieve high decoding efficiency through block-parallel, arbitrary-ord

自然言語処理大規模言語モデル生成テキストマルチモーダル

用途: 生成
難易度: Easy
コスト: High

huggingfaceHugging Faceあり2026-09-09

An Open Recipe for IMO Gold: Training Nemotron for Olympiad Mathematics

We study how model post-training and test-time inference design affect natural-language proof generation for h

自然言語処理ファインチューニング生成テキスト強化学習

用途: 生成
難易度: Easy
コスト: High

githubGitHubあり2026-09-09

awesome-datascience — :memo: An awesome Data Science repository to learn and apply for real world problems.

データサイエンスの学習には役立つリポジトリ。実世界の問題に応じた学習が可能。

深層学習画像

用途: データサイエンス学習
難易度: Easy
コスト: Medium

githubGitHubあり2026-09-09

stable-baselines3 — PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

このリポジトリでは、LLMベースのエージェントアプリケーションのための強化学習の橋渡しを提供しています。

用途: 強化学習を簡素化させる橋渡し
難易度: Easy
コスト: High

Tensor-Train Weak SINDy: Identifying High-Dimensional Nonlinear Dynamics

In recent years, weak-form methods have made significant advances in data-driven discovery of dynamical system

機械学習教師あり学習回帰

用途: 回帰
難易度: Hard
コスト: Medium

Transformers as In-Context Samplers: From Closed-Form Diffusion to Estimation-Free Sampling

A growing body of work establishes that large language models are not mere statistical memorizers, but are cap

深層学習Transformer生成回帰テキスト

用途: 生成
難易度: Hard
コスト: High

CAST: Canonical Approximate Schur Tree for Approximate Cholesky on Graphs

Graph-data workloads such as diffusion estimation, ranking, semi-supervised learning, and network optimization

深層学習軽量化・量子化教師あり半教師あり

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

説明可能コンピュータビジョンセグメンテーション回帰教師なし

Instability in Patient Clustering: A Multiverse Analysis of Unsupervised Clustering in the CENTER-TBI cohort

Understanding patient heterogeneity is key to improving prognostic modeling in traumatic brain injury (TBI). U

用途: 回帰
難易度: Hard
コスト: Medium

Gradland: On Phenomenal Experience, Differentiated Across Many Dimensions

This paper investigates the hypothesis that the first-order structure of physical interactions, i.e. gradients

深層学習テキスト

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Why shared attention vectors fail: a case for outcome-indexed tuning

Dimensional attention in learning is often implemented as a globally shared attention vector, where each stimu

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

PMMS Allocations Need Not Exist for 3 Agents with Additive Valuations

This note gives an instance demonstrating that the pairwise maximin share (PMMS) property cannot be satisfied

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Strengthening Proportionality in Participatory Budgeting with Additive Utilities

Proportional representation is a central goal in participatory budgeting, where voters select public projects

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Strategyproof Mechanisms for Connecting Impassable Regions

We study strategyproof mechanisms for building a pathway between two regions of a line segment separated by an

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Subquadratic Subsidies for Nonnegative or Nonpositive Valuations

We study envy-freeness with subsidies for indivisible items beyond additive valuations. Assuming that every si

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Feyospace-v1: How the Cyber Mercury Seven Trained Frontier Cyber Models

Training capable cyber agents is often treated primarily as a problem of model scale, yet open-weight post-tra

自然言語処理RAGテキスト

用途: 技術検証・論文読解補助
難易度: Easy
コスト: High

品質予測/異常検知コンピュータビジョンマルチモーダル生成画像テキスト

Studying Image Tokenizers as Visual Languages in Unified Multimodal Models

Image tokenizers define the ``visual language'' of unified multimodal models, yet are commonly studied through

用途: 生成
難易度: Easy
コスト: High

品質予測/異常検知自然言語処理大規模言語モデル生成

ActReview: Rebuttal-Guided Training Data and Rubric Rewards for Actionable Peer Review Generation

As LLMs are increasingly used for pre-submission self-review, there is growing demand for feedback that not on

用途: 生成
難易度: Easy
コスト: High

SWE-Bench Pro Verified: A Reliable Benchmark for Software Engineering Agents

SWE-Bench Pro has emerged as a standard benchmark for evaluating software engineering agents on challenging re

品質予測/異常検知機械学習教師あり学習

用途: 技術検証・論文読解補助
難易度: Easy
コスト: Medium

githubGitHubあり2026-09-08

OpenCat-Quadruped-Robot — An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics applications, AI-enhanced robotics application services, research, and DIY robotics kit development.

An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are

用途: 実装・検証基盤
難易度: Easy
コスト: Medium

arxivPaper only2026-09-07

Efficient Learning and Symmetry Discovery under Exact Invariances

Learning with group invariances is central to many scientific and geometric learning problems, yet its computa

深層学習軽量化・量子化回帰

用途: 回帰
難易度: Hard
コスト: Medium

arxivPaper only2026-09-07

Improved Randomized Approximations for Strategic Obnoxious Facility Location

We study randomized strategyproof mechanisms for strategic obnoxious facility location on a line segment, wher

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

arxivPaper only2026-09-07

Deception in Reach-Avoid Game with Unknown Heterogeneous Attackers Speed Information

This letter investigates a reach-avoid game involving two Attackers and one Defender, where the Attackers aim

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

huggingfaceHugging Faceあり2026-09-07

CARDEA: Auditable Reasoning Grounded in Spatial Evidence for End-to-End Coronary Angiography Interpretation

Invasive coronary angiography (CAG) is the gold standard for diagnosing coronary artery disease, but interpret

自然言語処理RAG分類生成画像

用途: 分類
難易度: Easy
コスト: High

huggingfaceGitHubありHugging Faceあり2026-09-07

Revisiting Complete Reasoning Traces for Post-Training

Large language models (LLMs) are often post-trained on pre-collected reasoning trajectories to improve their r

品質予測/異常検知深層学習軽量化・量子化テキスト強化学習

用途: 技術検証・論文読解補助
難易度: Easy
コスト: High

githubGitHubあり2026-09-07

awesome-nlp — :book: A curated list of resources dedicated to Natural Language Processing (NLP)

このリポジトリは自然言語処理(NLP)に関するリソースをまとめたものです。

用途: NLPリソースのまとめ
難易度: Easy
コスト: Medium

arxivPaper only2026-09-06

Deep Barycentric Regression for Optimal Transport Map Estimation and its Statistical Optimality

The optimal transport (OT) map provides a geometric transformation for aligning probability distributions and

強化学習マルチエージェント回帰画像教師なし

用途: 回帰
難易度: Hard
コスト: High

arxivPaper only2026-09-06

EFX Allocations for Three Agents and Seven or Eight Chores

We prove that every nonnegative additive chore instance with three agents and either seven or eight indivisibl

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

huggingfaceHugging Faceあり2026-09-06

OracleZoom: On-Policy Self-Distillation Inspired Reference-Constrained Recursive Image Super Resolution

Recursive Super-Resolution (SR) extends fixed-scale SR to extreme magnification by repeatedly feeding predicti

品質予測/異常検知深層学習軽量化・量子化画像教師なし

用途: 技術検証・論文読解補助
難易度: Easy
コスト: High

arxivPaper only2026-09-05

Programmable Cellular Automata

Cellular automata is a local computation paradigm where complex behavior can arise from local interactions bet

深層学習生成

用途: 生成
難易度: Hard
コスト: Medium

arxivPaper only2026-09-05

Minimizing the Effect of Sleep Deprivation in the Forward-Forward Algorithm

This paper addresses the challenge posed by sleep deprivation in the Forward-Forward algorithm, where separati

深層学習テキスト

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

arxivPaper only2026-09-05

Pairwise Maximin Share Allocations Need Not Exist

We study the fair allocation of indivisible goods among agents with strictly positive additive valuations. Pai

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

huggingfaceHugging Faceあり2026-09-05

MobileVLA-R1 2.0: RL-Enhanced Reasoning for Mobile Robot Control

Grounding natural-language instructions into reliable and executable actions remains a fundamental challenge f

自然言語処理RAG生成マルチモーダル強化学習

用途: 生成
難易度: Easy
コスト: High

arxivPaper only2026-09-04

An Analysis of Self-supervised Pre-training with Dependent Samples

Self-supervised learning relies on so-called data augmentations $φ(x)$ of unlabeled datapoints $x$ --- for exa

コンピュータビジョンセグメンテーション画像テキスト教師あり

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

arxivPaper only2026-09-04

Interpretability for Turing Machines

We show that susceptibilities, an interpretability technique developed for neural networks, can identify the p

説明可能機械学習教師なし学習

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

arxivPaper only2026-09-04

Strategic Information Transmission over Gossip Networks

We consider a fully connected gossip network of $n$ nodes that track a binary continuous-time Markov source th

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

arxivPaper only2026-09-03

Q-Edge: Symmetry-Reduced Quantum Simulation of Structured Extreme Dependence

High-dimensional simulation of multivariate extremes is fundamentally limited by the combinatorial complexity

機械学習教師あり学習生成

用途: 生成
難易度: Hard
コスト: Medium

arxivPaper only2026-09-02

Self-Supervised Pretraining of Molecular Graph Encoders with LeJEPA

Self-supervised pretraining has transformed language and vision, but its value for molecular graph neural netw

深層学習Transformerテキスト自己教師

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

arxivPaper only2026-09-02

The Complexity of Justified Representation with Additive Utilities

We study the computational complexity of satisfying proportional representation -- in particular proportional,

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

githubGitHubあり2026-09-02

qlib — Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

クエンティング投資プラットフォームを実現するためにAI技術を活用します。

強化学習方策勾配 (PPO / A3C)教師あり

用途: クエンティング投資プラットフォーム
難易度: Easy
コスト: Medium

arxivPaper only2026-09-01

Neural Symbollic Regression Using Deep Learning and Sparse Modelling

Symbolic Regression (SR) seeks to find succinct mathematical expressions that represent the fundamental relati

説明可能機械学習教師あり学習回帰異常検知

用途: 回帰
難易度: Hard
コスト: Medium

Investigating Hyperparameter Optimization and Transferability for ES-HyperNEAT: A TPE Approach

Neuroevolution of Augmenting Topologies (NEAT) and its advanced version, Evolvable-Substrate HyperNEAT (ES-Hyp

機械学習教師あり学習分類生成

用途: 分類
難易度: Hard
コスト: Low

Rock, Paper, Scissors, ... Dynamite - A Model of Disruption from New Technologies

We seek to understand the effect of adding disruptive highly-capable new technologies to competitions by asses

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Constrained Fair Allocations via Partition Matroid Reductions

We study fair allocation of indivisible goods under additive valuations and matroid constraints. A challenging

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Bidding Games with Rewards: Taming Infinite Configuration Space

Bidding games are graph games in which a token is placed on a vertex, each player starts with an initial budge

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Reaching Fairness by Reallocating Goods

Fair allocation of indivisible goods has largely been studied under the assumption that no prior allocation ex

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Learning Proportional Committees from Violation Feedback

We study violation-feedback learning of proportionally representative approval-based committees. In each round

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

githubGitHubあり2026-08-31

open_spiel — OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

ゲームの一般的な強化学習用エンドポインティであるEnvironmentおよびアルゴリズムの集合。

用途: ゲームの一般的な強化学習用エンドポインティ
難易度: Easy
コスト: Medium

The thermodynamic freedom of a thermodynamic computer

Thermodynamic computers are stochastic physical devices designed to perform calculations at the thermal energy

機械学習教師あり学習分類

用途: 分類
難易度: Hard
コスト: Low

Peer Oversight in Collective Decision Making

This article introduces peer $k$-oversight, a property of sequential collective decision mechanisms requiring

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Networked Multi-Resource Defense Capabilities in a General Lotto Game

Ensuring the security of complex systems involves the strategic allocation of defensive resources to prevent v

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Optimal Adversarial Testing: Extracting Honest Test Results from Dishonest Test Takers

In applications, it is often required to test objects or people to determine their qualities in terms of certa

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

A Constant Metric Distortion Protocol for Approval Voting Given Plurality Polls

Approval voting is a simple and well-regarded voting rule: voters submit approval ballots (subsets of the cand

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Condorcet-Winning Sets and Peer Selection in Planar Metric Elections

In ranked-choice voting, a Condorcet-winning set is a group of candidates for which no outside candidate is pr

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Algorithms for Robbins' Problem using Markov Decision Processes

In this paper, we consider Robbins' problem, which is a full information variant of the well-known secretary s

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Token-Level Advertising

Generative AI is transforming how people access information, challenging traditional advertising mechanisms bu

品質予測/異常検知強化学習生成

用途: 生成
難易度: Hard
コスト: Medium

A lone divider allocation algorithm with subjective divisibility

In the subjective divisibility allocation model, all goods are divisible, every agent $i$ has a non-negative a

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

arxivPaper only2026-08-26

Optimizing Train Driving to Minimize the Electricity Cost of an Entire Railway Traffic Mesh using Evolutionary Algorithms

This paper presents a procedure to optimize the way trains are driven, which pursues, in addition to fulfillin

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

arxivPaper only2026-08-26

Synthesis of Hopfield Neural Network: Novel Results

Using the logical basis of synthesizing Hopfield Neural Network with desired corners of hypercube as stable st

深層学習生成

用途: 生成
難易度: Hard
コスト: Medium

Fair Allocation with Optional Selling

We consider fair allocation of indivisible goods in a setting in which agents have subjective valuation functi

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Lexicographic Social Ranking on Monotonic Coalitional Rankings

Recent studies on social rankings in coalitional settings have introduced methods that rank individuals by lex

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Easier, but Not Easy: Nash Welfare under Lexicographic Valuations

Maximizing Nash welfare over indivisible goods is a central problem in resource allocation. For additive valua

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Multilevel Fair Allocation under Additive Preferences

We study multilevel fair resource allocation with tree-structured hierarchical relations among agents. At each

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Optimal Rank Lotteries for Truthful Unit-Interval Covering

In truthful interval covering, each agent has a private interval of unit length, and the goal is to decide whe

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

arxivPaper only2026-08-24

Basins of Attraction to Multiple Fixed Points in Discrete-time Hysteresis Neural Networks

This paper studies multiple fixed points in a discrete-time hysteresis neural network. The network consists of

機械学習教師あり学習分類

用途: 分類
難易度: Hard
コスト: Low

arxivPaper only2026-08-24

Multi-Winner Voting with Argumentative Ballots

We introduce multi-winner voting with argumentative ballots (MVArg) and investigate theoretical properties. As

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

githubGitHubあり2026-08-24

spaCy — 💫 Industrial-strength Natural Language Processing (NLP) in Python

spaCyはPythonで動くIndustrial-strength Natural Language Processing(Language理解の高度なライブラリです。文脈理解、構文解析、名詞の抽出など、複雑なNLPタ

機械学習教師あり学習分類テキスト

用途: ライブラリの紹介
難易度: Easy
コスト: Low

arxivPaper only2026-08-23

The Complexity of Minimizing Subsidies in Envy-Free House Allocation

The house allocation problem is a classical one-sided matching problem that concerns the assignment of a set o

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

arxivPaper only2026-08-20

Uncertainty propagation in auto-regressive random neural network models

We develop analytical and particle-based methods for uncertainty propagation in random neural network models,

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

arxivPaper only2026-08-20

Petri Net Description of Biological Neural Circuits for Fast Hardware Prototyping

Current approaches to simulating biological neural circuits, whether on general-purpose hardware or dedicated

深層学習検出

用途: 検出
難易度: Hard
コスト: Medium

arxivPaper only2026-08-20

Product Gap Mechanisms for Multi-Facility Location

We study randomized strategyproof mechanisms for locating multiple facilities on the real line. We introduce t

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

arxivPaper only2026-08-18

Does the grand coalition form? Persistence, arrival, and the role of the sharing rule in a dynamic process of nested binding agreements

We study a dynamic coalition-formation process in the tradition of Konishi and Ray (2003): players repeatedly

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

arxivPaper only2026-08-17

Anchoring for Truthfulness: The Random-Anchor Volume Mechanism for Multi-Facility Location

We study the strategyproof placement of $k$ facilities on the real line for $n$ agents who privately repor

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

arxivPaper only2026-08-17

On the Incompatibility of Weighted PROPX and Pareto Optimality for Indivisible Chores

Proportionality (PROP) is one of the simplest fairness criteria for allocating items among agents with additiv

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

arxivPaper only2026-08-17

Maximum-Cost Strategic Facility Location: The Limits of Randomization

We consider strategic facility location in Euclidean space $\mathbb R^d$, where a mechanism selects a single f

品質予測/異常検知強化学習

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

arxivPaper only2026-08-06

Convergent Evolution in Neural Representation Space: Emergent Order in Deep Belief Networks

この論文では、自律的な生成モデルの内部表現を分析し、未知のデータ分類に基づいて順序性が生じていることを示します。

自然言語処理RAG生成教師なし

用途: 自律的な生成モデルの特徴理解
難易度: Hard
コスト: High

arxivPaper only2026-08-05

Effective pruning of task-trained recurrent neural networks using noisy fluctuations and connection rescaling

回帰ニューラルネットワークの接続を簡素化する方法がいくつか提案されてきたが、生物学的背景に基づいた方法は少ない。研究者たちは、これまでノイズから切断するノイズ-プルーンという方法を提案しており、これは再起動後の機能を最も

深層学習RNN / LSTM教師なし

用途: 回帰ニューラルネットワークの接続切断
難易度: Hard
コスト: Low

arxivPaper only2026-08-02

Unsupervised Multidomain Approaches to Named Entity Recognition with Small Datasets

This paper explores the challenges and the methodologies associated with learning quality representations in s

少数データ向き品質予測/異常検知深層学習軽量化・量子化分類テキスト教師なし

用途: 分類
難易度: Hard
コスト: High