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)

Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging NeurIPS 2024 UltraSparseBERT: 99% Conditionally Sparse Language Modelling ACL 2024 UMB: Understanding Model Behavior for Open-World Object Detection NeurIPS 2024 Uncovering Limitations of Large Language Models in Information Seeking from Tables ACL 2024 Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective ACL 2024 Understanding and Improving Optimization in Predictive Coding Networks AAAI 2024 Understanding and Minimising Outlier Features in Transformer Training NeurIPS 2024 Understanding Entropic Regularization in GANs JMLR 2024 Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure NeurIPS 2024 Understanding Pathologies of Deep Heteroskedastic Regression UAI 2024 Understanding Progressive Training Through the Framework of Randomized Coordinate Descent AISTATS 2024 Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective NeurIPS 2024 Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data NeurIPS 2024 Understanding Surprising Generalization Phenomena in Deep Learning AAAI 2024 Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling NeurIPS 2024 Understanding the Role of the Projector in Knowledge Distillation AAAI 2024 Understanding Transformer Reasoning Capabilities via Graph Algorithms NeurIPS 2024 Ungeneralizable Examples CVPR 2024 Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement NeurIPS 2024 UniPTS: A Unified Framework for Proficient Post-Training Sparsity CVPR 2024 Universal In-Context Approximation By Prompting Fully Recurrent Models NeurIPS 2024 Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators NeurIPS 2024 Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection CVPR 2024 Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization EMNLP 2024 Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression ACL 2024