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)

Structure-Conditional Minimum Bayes Risk Decoding EMNLP 2025 Structured Pruning for Diverse Best-of-N Reasoning Optimization ACL 2025 Structured pruning for efficient systolic array accelerated cascade Speech-to-Text Translation Interspeech 2025 Structure Trumps Size: Rethinking Data Quality for LLM Reasoning EMNLP 2025 STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning ACL 2025 SuBiTO: Synopsis-based Training Optimization for Continuous Real-Time Neural Learning over Big Streaming Data AAAI 2025 Subnet-Aware Dynamic Supernet Training for Neural Architecture Search CVPR 2025 Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression AISTATS 2025 SuperLightNet: Lightweight Parameter Aggregation Network for Multimodal Brain Tumor Segmentation CVPR 2025 Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models ACL 2025 Surprising Effectiveness of pretraining Ternary Language Model at Scale ICLR 2025 SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step Diffusion CVPR 2025 SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation EMNLP 2025 SwiftPrune: Hessian-Free Weight Pruning for Large Language Models EMNLP 2025 Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks AISTATS 2025 TableKV: KV Cache Compression for In-Context Table Processing ACL 2025 TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning ACL 2025 TaDA: Training-free recipe for Decoding with Adaptive KV Cache Compression and Mean-centering ACL 2025 Talking Head Anime 4: Distillation for Real-Time Performance WACV 2025 Taming LLMs with Gradient Grouping ACL 2025 Taming Transformer Without Using Learning Rate Warmup ICLR 2025 TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models ACL 2025 Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers AAAI 2025 Task Singular Vectors: Reducing Task Interference in Model Merging CVPR 2025 Task-Specific Zero-shot Quantization-Aware Training for Object Detection ICCV 2025