Feng Mao
7 papers · 2020–2023 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
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Hot Topic Early Bird
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Research topics
Machine Learning
(7)
Learning Types · Machine Learning
(4)
Deep Learning
(3)
Reinforcement Learning
(3)
Architectures
(3)
Methods
(3)
Application Areas
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis
(1)
Applications
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
concept drift
(1)
deep reinforcement learning
(1)
representation learning
(1)
image classification
(1)
reinforcement learning
(1)
semantic segmentation
(1)
image segmentation
(1)
multi-task learning
(1)
model selection
(1)
transfer learning
(1)
domain adaptation
(1)
feature selection
(1)
knowledge transfer
(1)
neural architecture
(1)
error detection
(1)
policy search
(1)
feature similarity
(1)
batch active learning
(1)
data stream
(1)
model compression
(1)
Papers
Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract)
AAAI 2023
Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract)
AAAI 2023
Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract)
AAAI 2023
MDCSpell: A Multi-task Detector-Corrector Framework for Chinese Spelling Correction
ACL 2022
Personalized Image Semantic Segmentation
ICCV 2021
Self-Born Wiring for Neural Trees
ICCV 2021
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
CVPR 2020