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)

A Survey on Efficient Large Language Model Training: From Data-centric Perspectives ACL 2025 Asymmetric Learning for Spectral Graph Neural Networks AAAI 2025 A Symmetric Relative-Error Loss Function for Intermittent Multiscale Signal Modelling IJCAI 2025 Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization AAAI 2025 A Theoretical Analysis of Self-Supervised Learning for Vision Transformers ICLR 2025 A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning AISTATS 2025 AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints AAAI 2025 ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks CVPR 2025 ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models CVPR 2025 A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation EMNLP 2025 Attack-inspired Calibration Loss for Calibrating Crack Recognition AAAI 2025 Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration CVPR 2025 Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models ACL 2025 Attention IoU: Examining Biases in CelebA using Attention Maps CVPR 2025 Augmenting Perceptual Super-Resolution via Image Quality Predictors CVPR 2025 A Unified Agentic Framework for Evaluating Conditional Image Generation ACL 2025 A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation AAAI 2025 A Unifying Information-theoretic Perspective on Evaluating Generative Models AAAI 2025 AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization via Multi-LLMs NAACL 2025 Auto-Encoded Supervision for Perceptual Image Super-Resolution CVPR 2025 AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning CVPR 2025 Automated Fine-Grained Mixture-of-Experts Quantization ACL 2025 AutoMixer: Checkpoint Artifacts as Automatic Data Mixers ACL 2025 A-VL: Adaptive Attention for Large Vision-Language Models AAAI 2025 Avoiding Copyright Infringement via Large Language Model Unlearning NAACL 2025