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

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16

9

25

48

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94

150

295

436

675

803

1,010

944

1,346

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463

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'25

Papers (including subtopics)

Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective AAAI 2025 ViT-Linearizer: Distilling Quadratic Knowledge into Linear-Time Vision Models ICCV 2025 VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service ACL 2025 Vocabulary-level Memory Efficiency for Language Model Fine-tuning NAACL 2025 VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers AAAI 2025 VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration ACL 2025 VSSD: Vision Mamba with Non-Causal State Space Duality ICCV 2025 Walk and Read Less: Improving the Efficiency of Vision-and-Language Navigation via Tuning-Free Multimodal Token Pruning EMNLP 2025 Wanda++: Pruning Large Language Models via Regional Gradients ACL 2025 Wasserstein Distance Constraint and Parameter Sparsification for Batched and Iterative Knowledge Editing AAAI 2025 Waste-Bench: A Comprehensive Benchmark for Evaluating VLLMs in Cluttered Environments EMNLP 2025 WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition AAAI 2025 WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models CVPR 2025 Weakest Link in the Chain: Security Vulnerabilities in Advanced Reasoning Models ACL 2025 Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models EMNLP 2025 Weights-Rotated Preference Optimization for Large Language Models EMNLP 2025 “What do you call a dog that is incontrovertibly true? Dogma”: Testing LLM Generalization through Humor ACL 2025 What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective ACL 2025 When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs EMNLP 2025 When LRP Diverges from Leave-One-Out in Transformers EMNLP 2025 When Scale Meets Diversity: Evaluating Language Models on Fine-Grained Multilingual Claim Verification ACL 2025 When the LM misunderstood the human chuckled: Analyzing garden path effects in humans and language models ACL 2025 When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning EMNLP 2025 Where Are We? Evaluating LLM Performance on African Languages ACL 2025 Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning EMNLP 2025