Venkatesh Babu R
9 papers · 2020–2022 · 1 venue · across top CS/AI venues
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(21)
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Machine Learning
(9)
Learning Types · Machine Learning
(8)
Application Areas
(6)
Computer Vision
(3)
Deep Learning
(3)
Core Methods
(3)
Learning Types · Deep Learning
(3)
Analysis
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Applications
(1)
Core AI
(1)
Learning Paradigms
(1)
Optimization & Theory
(1)
Keywords
adversarial training
(3)
domain adaptation
(2)
adversarial attack
(2)
self-supervised learning
(2)
deep neural network
(2)
3d human pose estimation
(2)
neural network optimization
(1)
feature extraction
(1)
adversarial robustness
(1)
feature embedding
(1)
relation distillation
(1)
sharpness-aware minimization
(1)
data augmentation
(1)
projected gradient descent
(1)
multi-source domain adaptation
(1)
knowledge distillation
(1)
cost-sensitive learning
(1)
domain generalization
(1)
semi-supervised learning
(1)
representation learning
(1)
Papers
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics
NeurIPS 2022
Efficient and Effective Augmentation Strategy for Adversarial Training
NeurIPS 2022
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
NeurIPS 2022
Subsidiary Prototype Alignment for Universal Domain Adaptation
NeurIPS 2022
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
NeurIPS 2021
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
NeurIPS 2021
Towards Efficient and Effective Adversarial Training
NeurIPS 2021
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
NeurIPS 2020
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
NeurIPS 2020