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

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'25

Papers (including subtopics)

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport ACL 2025 Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study EMNLP 2025 Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models EMNLP 2025 Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization CVPR 2025 Don’t Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models EMNLP 2025 Don’t Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs AAAI 2025 Do Regularization Methods for Shortcut Mitigation Work As Intended? AISTATS 2025 Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference EMNLP 2025 Do We Really Need All Those Dimensions? An Intrinsic Evaluation Framework for Compressed Embeddings EMNLP 2025 Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators ICLR 2025 Draft Model Knows When to Stop: Self-Verification Speculative Decoding for Long-Form Generation EMNLP 2025 DRM Revisited: A Complete Error Analysis JMLR 2025 Drop Dropout on Single Epoch Language Model Pretraining ACL 2025 Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs EMNLP 2025 DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization ACL 2025 DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs EMNLP 2025 DTW-Align: Bridging the Modality Gap in End-to-End Speech Translation with Dynamic Time Warping Alignment EMNLP 2025 Dual-Balancing for Physics-Informed Neural Networks IJCAI 2025 Dual Information Purification for Lightweight SAR Object Detection AAAI 2025 Dual Orthogonality Sub-center Loss for Enhanced Anomalous Sound Detection Interspeech 2025 DVAGen: Dynamic Vocabulary Augmented Generation EMNLP 2025 DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models CVPR 2025 DyMO: Training-Free Diffusion Model Alignment with Dynamic Multi-Objective Scheduling CVPR 2025 Dynamic Acoustic Model Architecture Optimization in Training for ASR Interspeech 2025 Dynamic Algorithm Termination for Branch-and-Bound-based Neural Network Verification AAAI 2025