Optimization & Theory
7,804 papers (27 classified directly here)
Subtopics · a paper can sit in several, so these overlap
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)
On the Dynamics Under the Unhinged Loss and Beyond
JMLR 2023
On the Evaluation of Neural Selective Prediction Methods for Natural Language Processing
ACL 2023
On the Expressive Flexibility of Self-Attention Matrices
AAAI 2023
On the Expressivity Role of LayerNorm in Transformers’ Attention
ACL 2023
On the impact of activation and normalization in obtaining isometric embeddings at initialization
NeurIPS 2023
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data
AISTATS 2023
On the Initialization of Graph Neural Networks
ICML 2023
On the Stability and Generalization of Triplet Learning
AAAI 2023
On the Training Instability of Shuffling SGD with Batch Normalization
ICML 2023
OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data
AAAI 2023
Optimal Convergence Rates for Agnostic Nyström Kernel Learning
ICML 2023
Optimal Nonlinearities Improve Generalization Performance of Random Features
ACML 2023
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
NeurIPS 2023
Optimal Sets and Solution Paths of ReLU Networks
ICML 2023
Optimal Shrinkage for Distributed Second-Order Optimization
ICML 2023
Optimizing Mode Connectivity for Class Incremental Learning
ICML 2023
Oscillation-free Quantization for Low-bit Vision Transformers
ICML 2023
Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling
EMNLP 2023
Overcoming Forgetting Catastrophe in Quantization-Aware Training
ICCV 2023
Overparameterized Random Feature Regression with Nearly Orthogonal Data
AISTATS 2023
PAD-Net: An Efficient Framework for Dynamic Networks
ACL 2023
Parameter-Efficient Fine-Tuning without Introducing New Latency
ACL 2023
Parameter Efficient Local Implicit Image Function Network for Face Segmentation
CVPR 2023
Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck
NeurIPS 2023
Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis
ICCV 2023