Optimization & Theory
7,804 papers (27 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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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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Papers (including subtopics)
Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis
EMNLP 2022
NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search
AAAI 2022
NysADMM: faster composite convex optimization via low-rank approximation
ICML 2022
OCSampler: Compressing Videos to One Clip With Single-Step Sampling
CVPR 2022
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation
ACL 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
NeurIPS 2022
On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping
JMLR 2022
On Biased Stochastic Gradient Estimation
JMLR 2022
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond
NeurIPS 2022
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds
NeurIPS 2022
On-Device Training Under 256KB Memory
NeurIPS 2022
One-shot Neural Backdoor Erasing via Adversarial Weight Masking
NeurIPS 2022
On global convergence of ResNets: From finite to infinite width using linear parameterization
NeurIPS 2022
On Isotropy Calibration of Transformer Models
ACL 2022
On Learning Fairness and Accuracy on Multiple Subgroups
NeurIPS 2022
Online Convolutional Re-Parameterization
CVPR 2022
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking
IJCAI 2022
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
ICLR 2022
On Measuring Excess Capacity in Neural Networks
NeurIPS 2022
On Measuring the Intrinsic Few-Shot Hardness of Datasets
EMNLP 2022
On Non-Linear operators for Geometric Deep Learning
NeurIPS 2022
On Numerical Integration in Neural Ordinary Differential Equations
ICML 2022
On Scrambling Phenomena for Randomly Initialized Recurrent Networks
NeurIPS 2022
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency
ACL 2022
On the Convergence of Certified Robust Training with Interval Bound Propagation
ICLR 2022