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)

On the Faithfulness of Vision Transformer Explanations CVPR 2024 On the Hyperparameters in Stochastic Gradient Descent with Momentum JMLR 2024 On the Impact of Calibration Data in Post-training Quantization and Pruning ACL 2024 On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions AISTATS 2024 On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory NeurIPS 2024 On the Importance of Large Objects in CNN Based Object Detection Algorithms WACV 2024 On the Inductive Bias of Stacking Towards Improving Reasoning NeurIPS 2024 On the Limitations of Fractal Dimension as a Measure of Generalization NeurIPS 2024 On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving CVPR 2024 On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks ICLR 2024 On the Sparsity of the Strong Lottery Ticket Hypothesis NeurIPS 2024 On the token distance modeling ability of higher RoPE attention dimension EMNLP 2024 On the Unstable Convergence Regime of Gradient Descent AAAI 2024 On the Use of Anchoring for Training Vision Models NeurIPS 2024 On Training Data Influence of GPT Models EMNLP 2024 Open Problem: Anytime Convergence Rate of Gradient Descent COLT 2024 Open Problem: Black-Box Reductions and Adaptive Gradient Methods for Nonconvex Optimization COLT 2024 OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations NeurIPS 2024 Optical Diffusion Models for Image Generation NeurIPS 2024 Optical Flow Guided Tongue Trajectory Generation for Diffusion-based Acoustic to Articulatory Inversion Interspeech 2024 Optimal and Approximate Adaptive Stochastic Quantization NeurIPS 2024 Optimal deep learning of holomorphic operators between Banach spaces NeurIPS 2024 Optimal Eye Surgeon: Finding image priors through sparse generators at initialization ICML 2024 Optimal First-Order Algorithms as a Function of Inequalities JMLR 2024 Optimistic Verifiable Training by Controlling Hardware Nondeterminism NeurIPS 2024