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

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7

12

6

16

9

25

48

45

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94

150

295

436

675

803

1,010

944

1,346

1,352

463

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Papers (including subtopics)

AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning EMNLP 2024 AdjointDEIS: Efficient Gradients for Diffusion Models NeurIPS 2024 ADOPT: Modified Adam Can Converge with Any β_2 with the Optimal Rate NeurIPS 2024 ADR-X: ANN-Assisted Wireless Link Rate Adaptation for Compute-Constrained Embedded Gaming Devices NSDI 2024 Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation IJCAI 2024 Advancing Parameter Efficiency in Fine-tuning via Representation Editing ACL 2024 Adversarial Distillation Based on Slack Matching and Attribution Region Alignment CVPR 2024 AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models ACL 2024 AFPQ: Asymmetric Floating Point Quantization for LLMs ACL 2024 A Generic and Flexible Regularization Framework for NeRFs WACV 2024 A Geometry Loss Combination for 3D Human Pose Estimation WACV 2024 A Homogenization Approach for Gradient-Dominated Stochastic Optimization UAI 2024 A Huber Loss Minimization Approach to Byzantine Robust Federated Learning AAAI 2024 A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks NeurIPS 2024 ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers CVPR 2024 Algorithmic progress in language models NeurIPS 2024 Alias-Free Mamba Neural Operator NeurIPS 2024 A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder IJCAI 2024 Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework ICLR 2024 All Rivers Run to the Sea: Private Learning with Asymmetric Flows CVPR 2024 Almost Sure Convergence Rates Analysis and Saddle Avoidance of Stochastic Gradient Methods JMLR 2024 Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields CVPR 2024 AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality EMNLP 2024 AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models NeurIPS 2024 ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models NeurIPS 2024