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)

The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective JMLR 2024 The Impact of Geometric Complexity on Neural Collapse in Transfer Learning NeurIPS 2024 The Implicit Bias of Adam on Separable Data NeurIPS 2024 The Implicit Bias of Gradient Descent on Separable Multiclass Data NeurIPS 2024 The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions NeurIPS 2024 The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract) AAAI 2024 The Instinctive Bias: Spurious Images lead to Illusion in MLLMs EMNLP 2024 The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space NeurIPS 2024 The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis JMLR 2024 The Mamba in the Llama: Distilling and Accelerating Hybrid Models NeurIPS 2024 The Music Maestro or The Musically Challenged, A Massive Music Evaluation Benchmark for Large Language Models ACL 2024 The Mystery of the Pathological Path-star Task for Language Models EMNLP 2024 The Prevalence of Neural Collapse in Neural Multivariate Regression NeurIPS 2024 The Price of Implicit Bias in Adversarially Robust Generalization NeurIPS 2024 The Road Less Scheduled NeurIPS 2024 The Role of Over-Parameterization in Machine Learning – the Good, the Bad, the Ugly AAAI 2024 The Star Geometry of Critic-Based Regularizer Learning NeurIPS 2024 Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions JMLR 2024 Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective NeurIPS 2024 Time is Encoded in the Weights of Finetuned Language Models ACL 2024 Time- Memory- and Parameter-Efficient Visual Adaptation CVPR 2024 TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing CVPR 2024 TinyAgent: Function Calling at the Edge EMNLP 2024 TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge NeurIPS 2024 TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices NeurIPS 2024