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)
Revisit last-iterate convergence of mSGD under milder requirement on step size
NeurIPS 2022
ReX: An Efficient Approach to Reducing Memory Cost in Image Classification
AAAI 2022
Richer Countries and Richer Representations
ACL 2022
RID-Noise: Towards Robust Inverse Design under Noisy Environments
AAAI 2022
RL with KL penalties is better viewed as Bayesian inference
EMNLP 2022
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks
JMLR 2022
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
ICML 2022
Robust Lottery Tickets for Pre-trained Language Models
ACL 2022
Robustness Implies Generalization via Data-Dependent Generalization Bounds
ICML 2022
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
NeurIPS 2022
Robustness to Unbounded Smoothness of Generalized SignSGD
NeurIPS 2022
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks With Implicit Gradients
CVPR 2022
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent
AISTATS 2022
ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm
COLT 2022
RSTT: Real-Time Spatial Temporal Transformer for Space-Time Video Super-Resolution
CVPR 2022
RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer
NeurIPS 2022
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions
NeurIPS 2022
SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems
ACL 2022
Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs
AAAI 2022
SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums
AISTATS 2022
SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training
NeurIPS 2022
Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
NeurIPS 2022
Scalable Interpretability via Polynomials
NeurIPS 2022
Scaled ReLU Matters for Training Vision Transformers
AAAI 2022
Scale Efficiently: Insights from Pretraining and Finetuning Transformers
ICLR 2022