Zhihong Deng
9 papers · 2014–2024 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Half 🗺️ Taxonomy Completionist (27) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver
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Topic Evolution
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The Questioner
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(6)
Artificial Intelligence
(5)
Core Methods
(4)
Learning Paradigms
(4)
Learning Types · Deep Learning
(4)
Models
(4)
Application Areas
(3)
Natural Language Processing
(2)
Architectures
(2)
Core AI
(2)
Generation
(2)
Learning Types · Machine Learning
(2)
Applications
(1)
Bayesian & Probabilistic
(1)
Keywords
attention mechanism
(2)
few-shot learning
(2)
zero-shot learning
(1)
knowledge distillation
(1)
variational inference
(1)
transfer learning
(1)
sequential decision making
(1)
protein structure prediction
(1)
cross-entropy loss
(1)
epistemic uncertainty
(1)
machine translation
(1)
language modeling
(1)
text representation
(1)
markov chain monte carlo
(1)
vision transformer
(1)
parameter-efficient fine-tuning
(1)
sequence model
(1)
bayesian neural network
(1)
representation learning
(1)
causal inference
(1)
Papers
Retrieved Sequence Augmentation for Protein Representation Learning
EMNLP 2024
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning
IJCAI 2024
Focus Your Attention when Few-Shot Classification
NeurIPS 2023
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
NeurIPS 2023
Switch-GPT: An Effective Method for Constrained Text Generation under Few-Shot Settings (Student Abstract)
AAAI 2022
Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge
IJCAI 2020
Fast Structured Decoding for Sequence Models
NeurIPS 2019
MEMD: A Diversity-Promoting Learning Framework for Short-Text Conversation
COLING 2018
A Novel Content Enriching Model for Microblog Using News Corpus
ACL 2014