Yezhen Wang
9 papers · 2019–2024 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(26)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(6)
Application Areas
(5)
Artificial Intelligence
(4)
Core AI
(3)
Techniques
(3)
Architectures
(2)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Keywords
domain adaptation
(3)
distribution shift
(2)
domain generalization
(2)
stochastic optimization
(1)
semantic segmentation
(1)
semi-supervised learning
(1)
zero-shot learning
(1)
image generation
(1)
distributed computing
(1)
knowledge probing
(1)
information bottleneck
(1)
density estimation
(1)
uncertainty quantification
(1)
masked language model
(1)
factual knowledge
(1)
vision transformer
(1)
autonomous driving
(1)
confidence calibration
(1)
causal inference
(1)
feature alignment
(1)
Papers
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
NeurIPS 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
NeurIPS 2024
Sparse Mixture-of-Experts are Domain Generalizable Learners
ICLR 2023
Invariant Information Bottleneck for Domain Generalization
AAAI 2022
SPE: Symmetrical Prompt Enhancement for Fact Probing
EMNLP 2022
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
ICCV 2021
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation
AAAI 2021
Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation
CVPR 2021
Perspective-Guided Convolution Networks for Crowd Counting
ICCV 2019