Michael Chang
13 papers · 2013–2025 · 6 venues · across top CS/AI venues
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Achievements
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๐บ๏ธ Taxonomy Completionist (29) ๐ Academic Marathon ยท Half ๐ Conference Polyglot ยท Silver ๐ Interdisciplinary Bridge ยท Silver ๐ฃ Hot Topic Early Bird
๐ฅ
Mega-Team ยท Legion
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Triple Crown
๐
Conference Pioneer
๐ฅ
Unstoppable ยท Bronze
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Century Club ยท Bronze
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Renaissance Researcher
(6)
๐๏ธ
Keyword Collector
(67)
Top co-authors
Research topics
Artificial Intelligence
(10)
Core AI ยท Artificial Intelligence
(9)
Machine Learning
(8)
Learning Paradigms
(5)
Reinforcement Learning
(4)
Learning Types
(4)
Methods
(4)
Deep Learning
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Architectures
(2)
Core AI ยท Computer Vision
(2)
Core Methods
(2)
Computer Science
(1)
Natural Language Processing
(1)
Keywords
in-context learning
(2)
entity representation
(2)
transfer learning
(2)
reinforcement learning
(2)
compositional generalization
(2)
credit assignment
(2)
visual observation
(1)
question answering
(1)
offline reinforcement learning
(1)
attention mechanism
(1)
benchmark evaluation
(1)
expectation maximization
(1)
mechanism design
(1)
policy gradient
(1)
nash equilibrium
(1)
iterative refinement
(1)
continuous control
(1)
object discovery
(1)
implicit differentiation
(1)
sample efficiency
(1)
Papers
INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
ICLR 2025
Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
ICLR 2023
Human-Timescale Adaptation in an Open-Ended Task Space
ICML 2023
Im-Promptu: In-Context Composition from Image Prompts
NeurIPS 2023
Blockaid: Data Access Policy Enforcement for Web Applications
OSDI 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
NeurIPS 2022
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment
ICML 2021
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions
ICML 2020
Automatically Composing Representation Transformations as a Means for Generalization
ICLR 2019
Entity Abstraction in Visual Model-Based Reinforcement Learning
CoRL 2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
NeurIPS 2019
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
ICLR 2018
Real Time Network Policy Checking Using Header Space Analysis
NSDI 2013