Deming Zhai
11 papers · 2013–2026 · 8 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Half π Grand Slam
π€
Dynamic Duo
(11)
ποΈ
Keyword Collector
(54)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(7)
Learning Types Β· Machine Learning
(7)
Deep Learning
(5)
Optimization & Theory Β· Machine Learning
(4)
Computer Vision
(3)
Computer Science
(2)
Applications
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Techniques
(2)
Artificial Intelligence
(1)
Analysis
(1)
Architectures
(1)
Core AI
(1)
Keywords
deep neural network
(3)
loss function
(3)
label noise
(3)
noisy label learning
(2)
margin-based loss
(2)
noisy label
(2)
robust learning
(1)
prototype learning
(1)
contrastive learning
(1)
graph construction
(1)
gradient descent
(1)
sparse regularization
(1)
computer vision
(1)
face verification
(1)
adversarial attack
(1)
class imbalance
(1)
noise-tolerant learning
(1)
black-box attack
(1)
learning rate
(1)
symmetric loss
(1)
Papers
Variation-Bounded Loss for Noise-Tolerant Learning
AAAI 2026
Joint Asymmetric Loss for Learning with Noisy Labels
ICCV 2025
Spatial Annealing for Efficient Few-shot Neural Rendering
AAAI 2025
Ξ΅-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
NeurIPS 2024
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs
ICLR 2024
On the Dynamics Under the Unhinged Loss and Beyond
JMLR 2023
Learning Towards The Largest Margins
ICLR 2022
Prototype-Anchored Learning for Learning with Imperfect Annotations
ICML 2022
Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon
CVPR 2022
Learning With Noisy Labels via Sparse Regularization
ICCV 2021
Parametric Local Multimodal Hashing for Cross-View Similarity Search
IJCAI 2013