arxivGitHubあり2026-11-03
RGDM: Robust Graph Diffusion Model
Diffusion models represent a powerful class of generative models known for their solid theoretical foundations
品質予測/異常検知深層学習グラフニューラルネット分類生成テキスト
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- 分類
- 難易度
- Hard
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- High
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「AutoEncoder」の検索結果
16 件arxivPaper only2026-11-02
Follow the Features: SAE Feature-Guided Data-Efficient Instruction-Tuning of Large Language Models
Selecting small, effective instruction-tuning datasets requires identifying which aspects of the original data
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
- Hard
- コスト
- High
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arxivPaper only2026-11-02
Dr. No: Feature Steering for Abstention in Vision-Language Models
Large foundation models often answer even when the available visual or textual evidence is insufficient to sup
深層学習軽量化・量子化検出画像テキスト
- 用途
- 検出
- 難易度
- Hard
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- High
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arxivPaper only2026-11-02
Structured Visual Landscape: Generating Preferred Representations in Biological and Artificial Neural Networks
Understanding how neurons respond to visual stimulus is an important question in both deep learning and neuros
説明可能生成AI拡散モデル生成画像
- 用途
- 生成
- 難易度
- Hard
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- High
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arxivPaper only2026-11-02
Playing Dumb: How a Chess Transformer Simulates Users Across Skill Levels
Generative models increasingly simulate users at different skill levels in education and AI evaluation. Yet it
深層学習Transformer生成テキスト
- 用途
- 生成
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-11-02
Temporal Island Sparse Autoencoders for Interpreting Clinical Time-Series Models
Deep learning models for electronic health records achieve strong predictive performance but provide little in
MI向きセンサ/時系列コンピュータビジョン動画認識埋め込み時系列
- 用途
- 埋め込み
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-11-02
VERS: Steering Reasoning Models by Editing Their Activation Explanations
Reasoning language models write a chain of thought before they answer, and many checks in it do not change the
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
- Hard
- コスト
- Low
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arxivPaper only2026-11-02
Latent Diffusion-GAN: Adversarial Learning in the Autoencoded Latent Space
Diffusion models are powerful generative frameworks for producing high-quality images by denoising latent vari
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
- 用途
- 生成
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-11-02
Latent Spectral Prompting for Multimodal Hyperspectral Object Tracking
Hyperspectral videos provide rich spectral signatures for robust tracking under challenging conditions such as
コンピュータビジョン動画認識動画マルチモーダル自己教師
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-11-01
Large Geometry Models Are Priors For Fast Physics Pretraining
Language and vision models became data-efficient by pretraining on plentiful unlabelled data; physical field m
深層学習軽量化・量子化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
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arxivPaper only2026-11-01
Information-Theoretic Design of Sparse Autoencoder-Based Steering
Sparse autoencoder (SAE)-based activation steering is a lightweight approach for modifying the behavior of lar
深層学習軽量化・量子化生成テキスト
- 用途
- 生成
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-11-01
Control Barrier Functions for Safety-Aware Latent-Space Motion Planning
Latent-space path planning (LSPP) compresses the configuration space of a robotic manipulator into a compact,
コンピュータビジョン動画認識分類
- 用途
- 分類
- 難易度
- Hard
- コスト
- High
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arxivPaper only2026-10-31
Geometry of Confabulation and Refusal in Small Language Models
Faced with an unanswerable question, small language models can either refuse or confabulate: confidently produ
自然言語処理大規模言語モデルテキスト音声
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- High
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huggingfaceHugging Faceあり2026-10-28
A Tutorial on Generative Models for Music Audio
Music audio generation spans instrumental clips, full songs with vocals, edits of existing recordings, and sys
MI向きコンピュータビジョンセグメンテーション検出生成テキスト
- 用途
- 検出
- 難易度
- Easy
- コスト
- High
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arxivPaper only2026-10-27
An Input Skip Can Reparameterize a VAE Without Improving the Generator
An input skip can reduce reconstruction error while leaving a model's distribution of new samples unchanged. F
コンピュータビジョンセグメンテーション生成
- 用途
- 生成
- 難易度
- Hard
- コスト
- High
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huggingfaceHugging Faceあり2026-10-23
OmniSpectra: A Unified Foundation Model for Universal Spectra Representation Learning
Standard sequence models encode position by token rank rather than physical coordinate, typically forcing prac
自然言語処理埋め込み・検索埋め込み画像
- 用途
- 埋め込み
- 難易度
- Easy
- コスト
- High
→