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

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'25

Papers (including subtopics)

AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters ACL 2024 A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition AAAI 2024 Abrupt Learning in Transformers: A Case Study on Matrix Completion NeurIPS 2024 A Canonicalization Perspective on Invariant and Equivariant Learning NeurIPS 2024 Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024 Accelerating Diffusion Sampling with Optimized Time Steps CVPR 2024 Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling NeurIPS 2024 Accelerating Multilingual Language Model for Excessively Tokenized Languages ACL 2024 Accelerating Relative Entropy Coding with Space Partitioning NeurIPS 2024 Accelerating Transformers with Spectrum-Preserving Token Merging NeurIPS 2024 Achieving Domain-Independent Certified Robustness via Knowledge Continuity NeurIPS 2024 A Comprehensive Evaluation of Quantization Strategies for Large Language Models ACL 2024 A Computation-Aware Shape Loss Function for Point Cloud Completion AAAI 2024 A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation AAAI 2024 A Cost-Efficient Modular Sieve for Extracting Product Information from Company Websites EMNLP 2024 Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space ACL 2024 A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning AISTATS 2024 AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models EMNLP 2024 Adam with model exponential moving average is effective for nonconvex optimization NeurIPS 2024 Adaptive Deep Neural Network Inference Optimization With EENet WACV 2024 Adaptive Depth Networks with Skippable Sub-Paths NeurIPS 2024 Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching CVPR 2024 Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks CVPR 2024 Adaptive Rational Activations to Boost Deep Reinforcement Learning ICLR 2024 Adaptive Time-Stepping Schedules for Diffusion Models UAI 2024