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
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'25
Papers (including subtopics)
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows
ICML 2022
Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC
EMNLP 2022
Vanishing Curvature in Randomly Initialized Deep ReLU Networks
AISTATS 2022
Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization
JMLR 2022
VectorAdam for Rotation Equivariant Geometry Optimization
NeurIPS 2022
Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes
AAAI 2022
Video compression dataset and benchmark of learning-based video-quality metrics
NeurIPS 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints
NeurIPS 2022
VisCUIT: Visual Auditor for Bias in CNN Image Classifier
CVPR 2022
Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks (Student Abstract)
AAAI 2022
VTC-LFC: Vision Transformer Compression with Low-Frequency Components
NeurIPS 2022
Wavelet Feature Maps Compression for Image-to-Image CNNs
NeurIPS 2022
Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation
CVPR 2022
W-CTC: a Connectionist Temporal Classification Loss with Wild Cards
ICLR 2022
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?
NeurIPS 2022
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework
ICLR 2022
What Language Model to Train if You Have One Million GPU Hours?
EMNLP 2022
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment
EMNLP 2022
What Works and Doesn’t Work, A Deep Decoder for Neural Machine Translation
ACL 2022
What You See is What You Get: Principled Deep Learning via Distributional Generalization
NeurIPS 2022
When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation
ACL 2022
When Does Differentially Private Learning Not Suffer in High Dimensions?
NeurIPS 2022
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet
NeurIPS 2022
When Do Flat Minima Optimizers Work?
NeurIPS 2022
When To Prune? A Policy Towards Early Structural Pruning
CVPR 2022