Thang Doan
10 papers · 2018–2024 · 8 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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πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
ποΈ
Keyword Collector
(61)
π
Trend Setter
π
Century Club Β· Bronze
π
Conference Pioneer
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(7)
Learning Types Β· Machine Learning
(5)
Models
(5)
Artificial Intelligence
(4)
Computer Vision
(4)
Learning Paradigms
(4)
Learning Types Β· Deep Learning
(4)
Analysis
(3)
Core Methods
(3)
Reinforcement Learning
(2)
Architectures
(2)
Core AI
(2)
Methods
(2)
Mathematics & Optimization
(1)
Keywords
generative adversarial network
(3)
catastrophic forgetting
(2)
reinforcement learning
(2)
continual learning
(2)
style transfer
(1)
vision transformer
(1)
image segmentation
(1)
continuous control
(1)
maximum entropy
(1)
principal component analysis
(1)
imitation learning
(1)
curriculum learning
(1)
visual question answering
(1)
adversarial training
(1)
social network analysis
(1)
inverse reinforcement learning
(1)
hierarchical representation
(1)
gradient descent
(1)
image generation
(1)
semantic segmentation
(1)
Papers
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection
AAAI 2024
MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks
ECCV 2024
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation
CVPR 2024
Building a Subspace of Policies for Scalable Continual Learning
ICLR 2023
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
AISTATS 2021
Regularized Inverse Reinforcement Learning
ICLR 2021
Leveraging exploration in off-policy algorithms via normalizing flows
CoRL 2019
Multi-objective training of Generative Adversarial Networks with multiple discriminators
ICML 2019
On-Line Adaptative Curriculum Learning for GANs
AAAI 2019
EmojiGAN: learning emojis distributions with a generative model
EMNLP 2018