Sinno Pan
11 papers · 2017–2024 · 7 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 Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver
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Grand Slam
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Renaissance Researcher
(5)
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Century Club Β· Bronze
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Keyword Collector
(63)
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(4)
Natural Language Processing
(4)
Applications
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Application Areas
(3)
Learning Paradigms
(3)
Reinforcement Learning
(2)
Core AI
(2)
Methods
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Keywords
representation learning
(3)
reinforcement learning
(2)
sentiment analysis
(2)
domain adaptation
(2)
contrastive learning
(1)
principal component analysis
(1)
deep reinforcement learning
(1)
named entity recognition
(1)
visual observation
(1)
domain generalization
(1)
transfer learning
(1)
few-shot learning
(1)
text classification
(1)
embedding space
(1)
metric learning
(1)
neural network pruning
(1)
self-supervised learning
(1)
in-context learning
(1)
model compression
(1)
riemannian optimization
(1)
Papers
Sentiment Analysis in the Era of Large Language Models: A Reality Check
NAACL 2024
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning
EMNLP 2023
Retaining Beneficial Information from Detrimental Data for Neural Network Repair
NeurIPS 2023
SOUL: Towards Sentiment and Opinion Understanding of Language
EMNLP 2023
Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension
ACL 2022
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation
NAACL 2022
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities
ICLR 2022
Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning
NeurIPS 2022
Communication-Efficient Distributed PCA by Riemannian Optimization
ICML 2020
Transfer Value Iteration Networks
AAAI 2020
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
NeurIPS 2017