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

'15

'20

'25

Papers (including subtopics)

Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition ICML 2024 Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees NeurIPS 2024 Learning Neural Networks with Sparse Activations COLT 2024 Learning Performance-oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation CoRL 2024 Learning symmetries via weight-sharing with doubly stochastic tensors NeurIPS 2024 Learning Temporal Resolution in Spectrogram for Audio Classification AAAI 2024 Learning To Compose SuperWeights for Neural Parameter Allocation Search WACV 2024 Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers NeurIPS 2024 Learning with Fitzpatrick Losses NeurIPS 2024 Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks JMLR 2024 Length independent PAC-Bayes bounds for Simple RNNs AISTATS 2024 L-Eval: Instituting Standardized Evaluation for Long Context Language Models ACL 2024 Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks AISTATS 2024 Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures AISTATS 2024 LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition AAAI 2024 LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication NeurIPS 2024 LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS NeurIPS 2024 Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning ACL 2024 Light Unbalanced Optimal Transport NeurIPS 2024 Lightweight Image Super-Resolution via Flexible Meta Pruning ICML 2024 Lightweight Transducer Based on Frame-Level Criterion Interspeech 2024 Linear attention is (maybe) all you need (to understand Transformer optimization) ICLR 2024 Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models NeurIPS 2024 Linear Transformers are Versatile In-Context Learners NeurIPS 2024 Linking Convolutional Kernel Size to Generalization Bias in Face Analysis CNNs WACV 2024