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)

Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction NeurIPS 2024 Efficient Stitchable Task Adaptation CVPR 2024 Efficient Target Propagation by Deriving Analytical Solution AAAI 2024 EFHQ: Multi-purpose ExtremePose-Face-HQ dataset CVPR 2024 EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration AAAI 2024 Eigen Attention: Attention in Low-Rank Space for KV Cache Compression EMNLP 2024 ELAD: Explanation-Guided Large Language Models Active Distillation ACL 2024 Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift AAAI 2024 EM Distillation for One-step Diffusion Models NeurIPS 2024 Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space NeurIPS 2024 Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations AAAI 2024 Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance CVPR 2024 ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis NeurIPS 2024 Encoding Spreadsheets for Large Language Models EMNLP 2024 Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective EMNLP 2024 Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression ACL 2024 Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective NeurIPS 2024 Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding EMNLP 2024 Enhancing Post-training Quantization Calibration through Contrastive Learning CVPR 2024 Enriching Disentanglement: From Logical Definitions to Quantitative Metrics NeurIPS 2024 Entropy Induced Pruning Framework for Convolutional Neural Networks AAAI 2024 Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024 EPSD: Early Pruning with Self-Distillation for Efficient Model Compression AAAI 2024 Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View NeurIPS 2024 ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers EMNLP 2024