conftrace_

Optimization & Theory

7,804 papers (27 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (1,960) Model Compression (1,896) Efficient Computing (1,780) Theory (1,239) Neural Network Optimization (1,004) Evaluation (533) Regularization (177) Loss Functions (157) Interpretability (128) Stochastic Methods (119) Generalization (115) Sparse Optimization (25)

Papers per year

8

7

12

6

16

9

25

48

45

60

94

150

295

436

675

803

1,010

944

1,346

1,352

463

'10

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'25

Papers (including subtopics)

Model Adaptation for Time Constrained Embodied Control CVPR 2024 Model Collapse Demystified: The Case of Regression NeurIPS 2024 Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue EMNLP 2024 Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks AAAI 2024 MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning EMNLP 2024 MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks NeurIPS 2024 MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts NeurIPS 2024 Monomial Matrix Group Equivariant Neural Functional Networks NeurIPS 2024 MOSEL: Inference Serving Using Dynamic Modality Selection EMNLP 2024 MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution NeurIPS 2024 Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers CVPR 2024 MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling AAAI 2024 Multi-layer random features and the approximation power of neural networks UAI 2024 Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization NeurIPS 2024 Multilingual Brain Surgeon: Large Language Models Can Be Compressed Leaving No Language behind COLING 2024 Multiple Descent in the Multiple Random Feature Model JMLR 2024 Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree NeurIPS 2024 Multistep Distillation of Diffusion Models via Moment Matching NeurIPS 2024 MVHumanNet: A Large-scale Dataset of Multi-view Daily Dressing Human Captures CVPR 2024 MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans? EMNLP 2024 “My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models ACL 2024 NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time ACL 2024 Nature-Inspired Local Propagation NeurIPS 2024 Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics NeurIPS 2024 Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity NeurIPS 2024