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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Papers (including subtopics)

Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs EMNLP 2024 ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model NeurIPS 2024 Continual Forgetting for Pre-trained Vision Models CVPR 2024 Continual learning with the neural tangent ensemble NeurIPS 2024 Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech EMNLP 2024 Contributing Dimension Structure of Deep Feature for Coreset Selection AAAI 2024 Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs ACL 2024 Controlling Continuous Relaxation for Combinatorial Optimization NeurIPS 2024 ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models NeurIPS 2024 Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion COLT 2024 Convergence of Message-Passing Graph Neural Networks with Generic Aggregation on Large Random Graphs JMLR 2024 Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint) AAAI 2024 CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation EMNLP 2024 CORES: Convolutional Response-based Score for Out-of-distribution Detection CVPR 2024 COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation NeurIPS 2024 Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMs EMNLP 2024 CoSy: Evaluating Textual Explanations of Neurons NeurIPS 2024 Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning NeurIPS 2024 Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique JMLR 2024 CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement CVPR 2024 CQIL: Inference Latency Optimization with Concurrent Computation of Quasi-Independent Layers ACL 2024 CrossKD: Cross-Head Knowledge Distillation for Object Detection CVPR 2024 Cross-model Control: Improving Multiple Large Language Models in One-time Training NeurIPS 2024 CR-SAM: Curvature Regularized Sharpness-Aware Minimization AAAI 2024 Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature NeurIPS 2024