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

'15

'20

'25

Papers (including subtopics)

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization ICML 2025 s1: Simple test-time scaling EMNLP 2025 SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data WACV 2025 SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers ICCV 2025 SalM²: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention AAAI 2025 SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation WACV 2025 SAM Decoding: Speculative Decoding via Suffix Automaton ACL 2025 SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation ICCV 2025 Sample-aware Adaptive Structured Pruning for Large Language Models AAAI 2025 SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness AAAI 2025 SAT-HMR: Real-Time Multi-Person 3D Mesh Estimation via Scale-Adaptive Tokens CVPR 2025 Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal AAAI 2025 Scale Efficient Training for Large Datasets CVPR 2025 Scaling Capability in Token Space: An Analysis of Large Vision Language Model JMLR 2025 Scaling Context, Not Parameters: Training a Compact 7B Language Model for Efficient Long-Context Processing ACL 2025 Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems EMNLP 2025 Scaling Down Text Encoders of Text-to-Image Diffusion Models CVPR 2025 Scaling Laws and Efficient Inference for Ternary Language Models ACL 2025 Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check EMNLP 2025 Scaling Laws for Multilingual Language Models ACL 2025 Scaling Under-Resourced TTS: A Data-Optimized Framework with Advanced Acoustic Modeling for Thai ACL 2025 Scaling up the State Size of RNN LLMs for Long-Context Scenarios ACL 2025 Scheduling Weight Transitions for Quantization-Aware Training ICCV 2025 SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation ACL 2025 SCOP: Evaluating the Comprehension Process of Large Language Models from a Cognitive View ACL 2025