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)

Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion EMNLP 2024 Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization NeurIPS 2024 Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation EMNLP 2024 Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed NeurIPS 2024 Tending Towards Stability: Convergence Challenges in Small Language Models EMNLP 2024 TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision ICML 2024 Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor NeurIPS 2024 TensorOpera Router: A Multi-Model Router for Efficient LLM Inference EMNLP 2024 Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth NeurIPS 2024 Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization AAAI 2024 TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models CVPR 2024 The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance EMNLP 2024 The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents ICML 2024 The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse ACL 2024 The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks NeurIPS 2024 The Closeness of In-Context Learning and Weight Shifting for Softmax Regression NeurIPS 2024 The Effect of Generalisation on the Inadequacy of the Mode EACL 2024 The effect of Leaky ReLUs on the training and generalization of overparameterized networks AISTATS 2024 The Effect of Sampling Temperature on Problem Solving in Large Language Models EMNLP 2024 The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof NeurIPS 2024 The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank AAAI 2024 The Expressive Capacity of State Space Models: A Formal Language Perspective NeurIPS 2024 The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks NeurIPS 2024 The Fine-Grained Complexity of Gradient Computation for Training Large Language Models NeurIPS 2024 The Generalization Gap in Offline Reinforcement Learning ICLR 2024