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)

DAPE V2: Process Attention Score as Feature Map for Length Extrapolation ACL 2025 DART: Distilling Autoregressive Reasoning to Silent Thought EMNLP 2025 DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models EMNLP 2025 Data Descriptions from Large Language Models with Influence Estimation EMNLP 2025 Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales CVPR 2025 Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models AAAI 2025 Data Generation for Hardware-Friendly Post-Training Quantization WACV 2025 Data Laundering: Artificially Boosting Benchmark Results through Knowledge Distillation ACL 2025 Dataset Distillation via the Wasserstein Metric ICCV 2025 Dataset Distillation with Neural Characteristic Function: A Minmax Perspective CVPR 2025 DAViD: Data-efficient and Accurate Vision Models from Synthetic Data ICCV 2025 DC-AE 1.5: Accelerating Diffusion Model Convergence with Structured Latent Space ICCV 2025 DCR: Quantifying Data Contamination in LLMs Evaluation EMNLP 2025 DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection AAAI 2025 Debiased All-in-one Image Restoration with Task Uncertainty Regularization AAAI 2025 Decoder Gradient Shield: Provable and High-Fidelity Prevention of Gradient-Based Box-Free Watermark Removal CVPR 2025 Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis ACL 2025 Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network AAAI 2025 DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge CVPR 2025 DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis CVPR 2025 DeepRTL2: A Versatile Model for RTL-Related Tasks ACL 2025 DeLTa: A Decoding Strategy based on Logit Trajectory Prediction Improves Factuality and Reasoning Ability EMNLP 2025 DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation CVPR 2025 Demystifying Small Language Models for Edge Deployment ACL 2025 Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls EMNLP 2025