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)

DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms NeurIPS 2024 Detection and Measurement of Syntactic Templates in Generated Text EMNLP 2024 DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment NeurIPS 2024 DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval AAAI 2024 DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion NeurIPS 2024 DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation CVPR 2024 Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models NeurIPS 2024 Differentially Private Optimization with Sparse Gradients NeurIPS 2024 Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach ICLR 2024 DiffLoc: Diffusion Model for Outdoor LiDAR Localization CVPR 2024 Diffusion Models Without Attention CVPR 2024 Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow (Student Abstract) AAAI 2024 DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models CVPR 2024 DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization NeurIPS 2024 DisCEdit: Model Editing by Identifying Discriminative Components NeurIPS 2024 Discovering Knowledge-Critical Subnetworks in Pretrained Language Models EMNLP 2024 Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024 Discriminability-Driven Channel Selection for Out-of-Distribution Detection CVPR 2024 Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction ACL 2024 DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models NeurIPS 2024 Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers NeurIPS 2024 Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance AAAI 2024 Distributed Bilevel Optimization with Communication Compression ICML 2024 Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding ECCV 2024 Distribution Alignment Optimization through Neural Collapse for Long-tailed Classification ICML 2024