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

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'25

Papers (including subtopics)

CodeM: Less Data Yields More Versatility via Ability Matrix ACL 2024 CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation CVPR 2024 Collaborative Performance Prediction for Large Language Models EMNLP 2024 Combining Statistical Depth and Fermat Distance for Uncertainty Quantification NeurIPS 2024 CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization NeurIPS 2024 Common Diffusion Noise Schedules and Sample Steps Are Flawed WACV 2024 Communication-Efficient Collaborative Perception via Information Filling with Codebook CVPR 2024 Compact Language Models via Pruning and Knowledge Distillation NeurIPS 2024 Compact Proofs of Model Performance via Mechanistic Interpretability NeurIPS 2024 Compare without Despair: Reliable Preference Evaluation with Generation Separability EMNLP 2024 Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks AAAI 2024 Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis CVPR 2024 Compressing Large Language Models using Low Rank and Low Precision Decomposition NeurIPS 2024 ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty NeurIPS 2024 Confidence Calibration of Classifiers with Many Classes NeurIPS 2024 Consecutive Batch Model Editing with HooK Layers EMNLP 2024 Consistency Diffusion Bridge Models NeurIPS 2024 ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024 Constant Acceleration Flow NeurIPS 2024 Constrained Diffusion with Trust Sampling NeurIPS 2024 Constrained Implicit Learning Framework for Neural Network Sparsification ACML 2024 Constrained Probabilistic Mask Learning for Task-Specific Undersampled MRI Reconstruction WACV 2024 Constrained Synthesis with Projected Diffusion Models NeurIPS 2024 CONSTRUCTURE: Benchmarking CONcept STRUCTUre REasoning for Multimodal Large Language Models EMNLP 2024 CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models EMNLP 2024