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

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'25

Papers (including subtopics)

Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic CVPR 2024 Scaling Laws for Fact Memorization of Large Language Models EMNLP 2024 Scaling Laws for Linear Complexity Language Models EMNLP 2024 Scaling Laws in Linear Regression: Compute, Parameters, and Data NeurIPS 2024 Scaling Laws of Synthetic Images for Model Training ... for Now CVPR 2024 Scaling Parameter-Constrained Language Models with Quality Data EMNLP 2024 Scaling transformer neural networks for skillful and reliable medium-range weather forecasting NeurIPS 2024 SCA: Selective Compression Attention for Efficiently Extending the Context Window of Large Language Models EMNLP 2024 SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing CVPR 2024 SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark ACL 2024 Score-based generative models are provably robust: an uncertainty quantification perspective NeurIPS 2024 SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning AAAI 2024 SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation CVPR 2024 Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices NeurIPS 2024 Second-order forward-mode optimization of recurrent neural networks for neuroscience NeurIPS 2024 Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private Inference ICML 2024 Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection AAAI 2024 Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model CVPR 2024 Self-Calibrating Vicinal Risk Minimisation for Model Calibration CVPR 2024 Self-Evaluation of Large Language Model based on Glass-box Features EMNLP 2024 Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations NeurIPS 2024 Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics NeurIPS 2024 Separations in the Representational Capabilities of Transformers and Recurrent Architectures NeurIPS 2024 SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization NeurIPS 2024 Set-based Neural Network Encoding Without Weight Tying NeurIPS 2024