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)

ICP: Immediate Compensation Pruning for Mid-to-high Sparsity CVPR 2025 ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs ACL 2025 IDEA-Bench: How Far are Generative Models from Professional Designing? CVPR 2025 Identifying and Mitigating Position Bias of Multi-image Vision-Language Models CVPR 2025 IG-Pruning: Input-Guided Block Pruning for Large Language Models EMNLP 2025 Image Over Text: Transforming Formula Recognition Evaluation with Character Detection Matching CVPR 2025 ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition AAAI 2025 ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs ACL 2025 Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent ICML 2025 Importance-Based Token Merging for Efficient Image and Video Generation ICCV 2025 Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models NAACL 2025 Improved Noise Schedule for Diffusion Training ICCV 2025 Improving Accuracy and Calibration via Differentiated Deep Mutual Learning CVPR 2025 Improving Continual Pre-training Through Seamless Data Packing ACL 2025 Improving Deep Learning Speed and Performance Through Synaptic Neural Balance AAAI 2025 Improving Generalization of Deep Neural Networks by Optimum Shifting AAAI 2025 Improving Generalization of End-to-End ASR through Diversity and Independence Regularization Interspeech 2025 Improving LLM Reasoning through Interpretable Role-Playing Steering EMNLP 2025 Improving Model Factuality with Fine-grained Critique-based Evaluator ACL 2025 Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information EMNLP 2025 Improving Rectified Flow with Boundary Conditions ICCV 2025 Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling CVPR 2025 Increased Compute Efficiency and the Diffusion of AI Capabilities AAAI 2025 Increasing Batch Size Improves Convergence of Stochastic Gradient Descent with Momentum ACML 2025 InductionBench: LLMs Fail in the Simplest Complexity Class ACL 2025