Yunzhe Tao
10 papers · 2018–2024 · 5 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
Jump to papers ↓+2 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (29) π£ Hot Topic Early Bird
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(58)
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Deep Learning
(7)
Machine Learning
(6)
Core AI Β· Artificial Intelligence
(6)
Models
(4)
Computer Vision
(3)
Natural Language Processing
(3)
Architectures
(3)
Generation
(3)
Optimization & Theory
(3)
Reinforcement Learning
(2)
Core AI Β· Computer Vision
(2)
Learning Types
(2)
Methods
(2)
Application Areas
(1)
Keywords
reinforcement learning
(3)
neural network
(2)
vision-language model
(2)
large language model
(2)
task-oriented dialogue
(1)
knowledge transfer
(1)
video captioning
(1)
code generation
(1)
policy gradient
(1)
program synthesis
(1)
text summarization
(1)
network dynamics
(1)
knowledge base
(1)
model interpretability
(1)
nash equilibrium
(1)
model uncertainty
(1)
spectral analysis
(1)
video annotation
(1)
elastic net
(1)
multimodal learning
(1)
Papers
B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis
ICLR 2024
DeVAn: Dense Video Annotation for Video-Language Models
ACL 2024
Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction
ACL 2024
InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model
ACL 2024
A Template-guided Hybrid Pointer Network for Knowledge-based Task-oriented Dialogue Systems
ACL 2021
REPAINT: Knowledge Transfer in Deep Reinforcement Learning
ICML 2021
Robust Multi-Agent Reinforcement Learning with Model Uncertainty
NeurIPS 2020
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization
IJCAI 2018
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach
NeurIPS 2018
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling
NeurIPS 2018