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)

Distributional Reinforcement Learning with Regularized Wasserstein Loss NeurIPS 2024 DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models CVPR 2024 Divide-or-Conquer? Which Part Should You Distill Your LLM? EMNLP 2024 D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models NeurIPS 2024 DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models EMNLP 2024 Dodo: Dynamic Contextual Compression for Decoder-only LMs ACL 2024 Does Large Language Model Contain Task-Specific Neurons? EMNLP 2024 Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models? EMNLP 2024 DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging EMNLP 2024 Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models EMNLP 2024 Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences NeurIPS 2024 Don't Look Twice: Faster Video Transformers with Run-Length Tokenization NeurIPS 2024 Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes AAAI 2024 Downstream Trade-offs of a Family of Text Watermarks EMNLP 2024 Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning CVPR 2024 Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity EMNLP 2024 DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling CVPR 2024 DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation ICLR 2024 Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-Training via Differentiable Rendering of Line Segments CVPR 2024 DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation NeurIPS 2024 Dropout Enhanced Bilevel Training ICLR 2024 DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? AAAI 2024 Dual Lagrangian Learning for Conic Optimization NeurIPS 2024 Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks NeurIPS 2024 DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs NeurIPS 2024