Optimization & Theory
43,292 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Optimization (17,731)
Learning Theory (6,809)
Bayesian Inference (6,267)
Theory (5,579)
Statistical Learning (4,564)
Neural Network Optimization (4,155)
Stochastic Processes (2,948)
Stochastic Methods (1,283)
Loss Functions (1,220)
Distributed Learning (1,202)
Online Algorithms (1,013)
Statistics (822)
Generalization (376)
Information Theory (370)
Sample Complexity (282)
Sparse Optimization (241)
Game Theory (151)
Convex Optimization (132)
Optimal Transport (104)
Robust Optimization (84)
Distributed Optimization (73)
Approximation Algorithms (33)
Papers per year
1
14
29
44
31
52
189
195
212
235
352
382
457
787
816
828
1,066
1,391
1,913
3,012
3,646
4,303
4,450
5,357
6,155
5,854
1,521
2000
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Papers (including subtopics)
Task-Free Continual Learning via Online Discrepancy Distance Learning
NeurIPS 2022
Task Relatedness-Based Generalization Bounds for Meta Learning
ICLR 2022
Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement
IJCAI 2022
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs
IJCAI 2022
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels
NeurIPS 2022
Template based Graph Neural Network with Optimal Transport Distances
NeurIPS 2022
Temporal Effective Batch Normalization in Spiking Neural Networks
NeurIPS 2022
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
ICLR 2022
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation
CVPR 2022
Tencent’s Multilingual Machine Translation System for WMT22 Large-Scale African Languages
EMNLP 2022
TensorPlan and the Few Actions Lower Bound for Planning in MDPs under Linear Realizability of Optimal Value Functions
ALT 2022
Tensor Program Optimization with Probabilistic Programs
NeurIPS 2022
Tessellation-Filtering ReLU Neural Networks
IJCAI 2022
Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies
AISTATS 2022
Testing Whether a Learning Procedure is Calibrated
JMLR 2022
Test Time Adaptation via Conjugate Pseudo-labels
NeurIPS 2022
Text Characterization Toolkit (TCT)
AACL 2022
Text Editing as Imitation Game
EMNLP 2022
TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack
EMNLP 2022
Texture-Based Error Analysis for Image Super-Resolution
CVPR 2022
The AIM and EM Algorithms for Learning from Coarse Data
JMLR 2022
The AISP-SJTU Simultaneous Translation System for IWSLT 2022
ACL 2022
The alignment property of SGD noise and how it helps select flat minima: A stability analysis
NeurIPS 2022
The Architectural Bottleneck Principle
EMNLP 2022
The CLRS Algorithmic Reasoning Benchmark
ICML 2022