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Optimization & Theory

7,804 papers (27 classified directly here)

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1,352
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Papers (including subtopics)

When Do Models Actually Decide? Mapping the Layer-Wise Decision Timeline in Pretrained Neural Networks CVPR 2026 When Efficiency Meets Safety: A Benchmark Security Analysis of KV Cache Compression in Large Language Models ACL 2026 When Token Pruning is Worse than Random: Understanding Visual Token Information in VLLMs CVPR 2026 Why "Classic" Transformers Are Shallow and A Depth-Enabling Technique JMLR 2026 Why Does RL Generalize Better Than SFT? A Data-Centric Perspective on VLM Post-Training CVPR 2026 Why Do More Experts Fail? A Theoretical Analysis of Model Merging ACL 2026 Why Not Hyperparameter-Friendly Optimisation? A Monotonic Adaptive Norm Rescaling Approach For Long-Tailed Recognition CVPR 2026 Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models ACL 2026 WildPose: A Unified Framework for Robust Pose Estimation in the Wild CVPR 2026 WiTTA-Bench: Benchmarking Test-Time Adaptation for WiFi Sensing CVPR 2026 YOSE: You Only Select Essential Tokens for Efficient DiT-based Video Object Removal CVPR 2026 Your Reasoning Model Knows What Counts: Self-Guided Chain-of-Thought Pruning for Efficient Reasoning ACL 2026 ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval ACL 2026 1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models EMNLP 2025 2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification CVPR 2025 3D-RPE: Enhancing Long-Context Modeling Through 3D Rotary Position Encoding AAAI 2025 5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks CVPR 2025 A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models CVPR 2025 AAIG at GenAI Detection Task 1: Exploring Syntactically-Aware, Resource-Efficient Small Autoregressive Decoders for AI Content Detection COLING 2025 ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models AAAI 2025 Accelerate 3D Object Detection Models via Zero-Shot Attention Key Pruning ICCV 2025 Accelerated Test-Time Scaling with Model-Free Speculative Sampling EMNLP 2025 Accelerate Parallelizable Reasoning via Parallel Decoding within One Sequence EMNLP 2025 Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps ACL 2025 Accelerating Adversarial Training on Under-Utilized GPU IJCAI 2025