Bayesian Optimization の論文・実装まとめ

pruna — Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.

デベロッパー向けのモデロプティミゼーションフレームワークです。モデルの高速化と効率化を実現することができます。

深層学習Transformer分類音声

Score 94

DeepSpeed — DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

分散トレーニングと推論を容易、効率的に実行するためのディープラーニング最適化ライブラリです。

深層学習軽量化・量子化

Score 87

githubGitHubあり2026-08-22

deep-learning-drizzle — Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learni

数学・理論最適化分類画像音声

huggingfaceHugging Faceあり2026-09-02

Score 82

Percolation Dynamics in Optimization : Variance Cascades and Discrete Scale Invariance

We study the dynamics of Stochastic Gradient Descent (SGD), which is known to steer deep neural networks towar

深層学習正規化・最適化手法

huggingfaceGitHubありHugging Faceあり2026-08-31

Score 78

WHALE: A Simple Recipe for Joint Harness-Weight Optimization

Agent performance depends jointly on the model parameters and the executable harness code that manages context

自然言語処理ファインチューニングQAテキスト

huggingfaceHugging Faceあり2026-09-01

Score 77

A Glance Is All You Need: Single-Pass Fine-Grained Image Captioning with SimLoss

An image may be worth a thousand words, but most captioning models describe it in only a few. Modern vision-la

MI向き品質予測/異常検知自然言語処理ファインチューニング生成画像テキスト

新着記事

pruna — Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.

デベロッパー向けのモデロプティミゼーションフレームワークです。モデルの高速化と効率化を実現することができます。

深層学習Transformer分類音声

用途: モデロプティミゼーション
難易度: Easy
コスト: Low

DeepSpeed — DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

分散トレーニングと推論を容易、効率的に実行するためのディープラーニング最適化ライブラリです。

深層学習軽量化・量子化

用途: ディープラーニング最適化ライブラリ
難易度: Easy
コスト: High

arxivGitHubあり2026-09-04

VICAL: Vicinal Consistency Alignment for Long-Tailed Visual Recognition

Multi-expert models have become the dominant paradigm for long-tailed learning, largely attributed to their pr

深層学習軽量化・量子化分類画像テキスト

用途: 分類
難易度: Easy
コスト: Low

arxivGitHubあり2026-09-04

CoSkill: Joint Reinforcement Learning of Reasoning and Meta-Skill Agents for Hierarchical Skill Evolution

Skill libraries improve the sample efficiency of agentic reinforcement learning (RL) by enabling large languag

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

品質予測/異常検知深層学習軽量化・量子化生成画像テキスト

arxivGitHubあり2026-09-04

Learning 3D Editing without Paired Supervision via Generative Prior Distillation

Instruction-guided 3D editing is essential for interactive content creation, yet it faces a significant bottle

用途: 生成
難易度: Hard
コスト: High

Ask Before You Optimize: Dynamic Pre-Formulation Clarification for Interactive Optimization

Large language models (LLMs) are increasingly used to formulate optimization models from natural-language prob

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

Global to Local: Topology-Preserving Adaptive Graph Pooling via Granular-Ball

Graph pooling aims to compress the graph, including both node embeddings and their underlying topological patt

自然言語処理埋め込み・検索分類生成

用途: 分類
難易度: Hard
コスト: Low

Harness-agnostic detection and immunization of reward hacking in self-evolving language models

Self-evolving language models improve by proposing candidate updates and keeping whatever raises a visible sco

自然言語処理RAG検出生成テキスト

用途: 検出
難易度: Hard
コスト: Low

品質予測/異常検知深層学習Transformerテキスト3D

UniMate: One Unified Model to Animate Diverse Skeletons

Recent advances in automatic rigging now deliver animation-ready 3D assets at scale, yet generating the motion

用途: 技術検証・論文読解補助
難易度: Hard
コスト: High

Proton Irradiation Characterization of an Open-Source ML Accelerator on a Zynq UltraScale+ MPSoC

As spaceborne computing systems increasingly rely on neural network (NN) accelerators, the opacity of commerci

深層学習CNN画像テキスト

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

Solution-space heterogeneity shapes federated learning dynamics across partial differential equations

Federated scientific machine learning enables institutions to train neural surrogates without centralizing loc

深層学習軽量化・量子化

用途: 技術検証・論文読解補助
難易度: Hard
コスト: Medium

少数データ向き深層学習Transformer回帰画像

Beyond Homoscedasticity: Decoupled Uncertainty Optimization for Deep Imbalanced Regression

Deep Imbalanced Regression (DIR) is pervasive in continuous prediction tasks across diverse modalities, such a

用途: 回帰
難易度: Hard
コスト: Medium