arxivGitHubあり2026-06-05
Constructing VAE Latent Spaces with Prescribed Topology
Variational autoencoders (VAEs) learn low-dimensional latent representations of high-dimensional data. When th
品質予測/異常検知生成AIVAE画像
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
→
「SHAP」の検索結果
19 件huggingfaceHugging Faceあり2026-06-05
SlimSearcher: Training Efficiency-Aware Web Agents via Adaptive Reward Gating
Deep research agents have demonstrated remarkable capabilities in complex information-seeking tasks, yet this
深層学習Transformer強化学習
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-06-05
Where Rectified Flows Leak: Characterising Membership Signals Along the Interpolation Path
Understanding what generative models retain from training data remains challenging, with implications for copy
機械学習特徴量エンジニアリング生成画像音声
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-06-04
Cosine Misleads: Auxiliary Losses Reshape Vision Language Models, Not Their Latents
Latent visual reasoning (LVR) inserts supervised latent tokens between perception and answer generation in vis
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
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-06-04
SoCRATES: Towards Reliable Automated Evaluation of Proactive LLM Mediation across Domains and Socio-cognitive Variations
Evaluating LLM mediators remains challenging, as mediation unfolds as a real-time trajectory shaped by disputa
MI向き深層学習Transformerテキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-06-04
Learning Geometric Representations from Videos for Spatial Intelligent Multimodal Large Language Models
Multimodal Large Language Models (MLLMs) excel at 2D semantic understanding but lack intrinsic 3D awareness, r
表形式向き自然言語処理大規模言語モデルテキスト動画3D
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-06-04
Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning
Autonomous driving requires reasoning about how ego actions shape the evolution of the surrounding world. Howe
生成AI拡散モデル生成画像
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
→
githubGitHubあり2026-06-04
shap — A game theoretic approach to explain the output of any machine learning model.
機械学習モデルの出力を説明するゲーム理論的手法を取ったライブラリ。
説明可能機械学習アンサンブル学習
- 用途
- 機械学習モデルの解釈
- 難易度
- Easy
- コスト
- Medium
→
huggingfaceHugging Faceあり2026-06-03
Why Muon Outperforms Adam: A Curvature Perspective
Muon improves training efficiency over Adam in large language-model training by about two times, but the local
深層学習正規化・最適化手法テキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-06-03
BRepCLIP: Contrastive Multimodal Pretraining on BRep Primitives for CAD Understanding
Learning representations of CAD models is a largely open problem. While 3D representation learning has flouris
深層学習Transformer分類生成埋め込み
- 用途
- 分類
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-06-03
MeshWeaver: Sparse-Voxel-Guided Surface Weaving for Autoregressive Mesh Generation
Autoregressive mesh generation has gained attention by tokenizing meshes into sequences and training models in
深層学習Attention機構生成テキスト3D
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-06-03
Deep Embedded Multiplicative DMD for Algebra-Preserving Koopman Learning
Koopman theory turns nonlinear dynamics into a linear spectral problem. In computation, however, everything de
MI向き深層学習Transformer
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-06-02
A Cookbook of 3D Vision: Data, Learning Paradigms, and Application
3D vision has rapidly evolved, driven by increasingly diverse data representations, learning paradigms, and mo
自然言語処理RAG生成動画3D
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-06-02
Qwen-Image-Flash: Beyond Objective Design
Few-step distillation has become an effective strategy for accelerating advanced visual generative models, yet
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
→
huggingfaceGitHubありHugging Faceあり2026-06-02
Agentic Chain-of-Thought Steering for Efficient and Controllable LLM Reasoning
Large language models improve final-answer accuracy through extended chain-of-thought reasoning, but often spe
深層学習軽量化・量子化生成テキスト強化学習
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-06-01
Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions
How can a population of agents self-orchestrate and self-adapt into stronger collective intelligence without c
自然言語処理ファインチューニング
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- Medium
→
huggingfaceGitHubありHugging Faceあり2026-05-29
The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models
Large Language Models exhibit paradoxical fragility in fundamental arithmetic, implying a disconnect between i
深層学習軽量化・量子化テキスト
- 用途
- 技術検証・論文読解補助
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-05-29
Combinatorial Synthesis: Scaling Code RLVR via Atomic Decomposition and Recombination
Reinforcement Learning with Verifiable Rewards (RLVR) has recently emerged as the cornerstone for shaping the
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強化学習
- 用途
- 生成
- 難易度
- Easy
- コスト
- High
→
huggingfaceHugging Faceあり2026-05-26
SIA: Self Improving AI with Harness & Weight Updates
Humans are the bottleneck in building and improving AI. Both the models and the agents that wrap them are writ
生成AI拡散モデル分類
- 用途
- 分類
- 難易度
- Easy
- コスト
- High
→