← Authors

Michael Zhang

28 papers · 2017–2025 · 11 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (8) πŸ—ΊοΈ Taxonomy Completionist (61) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (9) πŸŒ‰ Interdisciplinary Bridge 🌱 Topic Pioneer πŸ† Grand Slam 🀝 Dynamic Duo (10) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (111) ❓ The Questioner ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ’Ž Century Club (28) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter

Conferences

ICLR (5) NIPS (5) EMNLP (4) ICML (4) AISTATS (3) CORL (2) AAAI (1) ACL (1) MLHC (1) NAACL (1) UAI (1)

Top co-authors

Christopher Re (10) Eunsol Choi (6) Greg Durrett (3) Yasumasa Onoe (3) Simran Arora (2) Barbara Engelhardt (2) Kayvon Fatahalian (2) Shankar Padmanabhan (2) Jimmy Ba (2) Daniel Y Fu (2)

Keywords

domain generalization (4) language model (4) question answering (4) representation learning (3) contrastive learning (3) reinforcement learning (3) knowledge editing (2) foundation model (2) distributed inference (2) embedding space (2) domain adaptation (1) transfer learning (1) stochastic gradient descent (1) probabilistic modeling (1) online learning (1) knowledge distillation (1) model calibration (1) bayesian nonparametrics (1) uncertainty quantification (1) curriculum learning (1)

Papers

LoLCATs: On Low-Rank Linearizing of Large Language Models ICLR 2025
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry ICLR 2024
Simple linear attention language models balance the recall-throughput tradeoff ICML 2024
Propagating Knowledge Updates to LMs Through Distillation NIPS 2023
Effectively Modeling Time Series with Simple Discrete State Spaces ICLR 2023
Mitigating Temporal Misalignment by Discarding Outdated Facts EMNLP 2023
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge ACL 2023
Selectively Answering Ambiguous Questions EMNLP 2023
Simple Hardware-Efficient Long Convolutions for Sequence Modeling ICML 2023
Shoring up the foundations: fusing model embeddings and weak supervision UAI 2022
Contrastive Adapters for Foundation Model Group Robustness NIPS 2022
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence EMNLP 2022
Triangle and Four Cycle Counting with Predictions in Graph Streams ICLR 2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning ICML 2022
Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations ICML 2022
Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity MLHC 2022
Entity Cloze By Date: What LMs Know About Unseen Entities NAACL 2022
Personalized Federated Learning with First Order Model Optimization ICLR 2021
Latent variable modeling with random features AISTATS 2021
SituatedQA: Incorporating Extra-Linguistic Contexts into QA EMNLP 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs NIPS 2021
Soft Multicopter Control Using Neural Dynamics Identification CORL 2020
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes AISTATS 2020
Distributed, partially collapsed MCMC for Bayesian Nonparametrics AISTATS 2020
Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions AAAI 2020
Lookahead Optimizer: k steps forward, 1 step back NIPS 2019
Communication Efficient Parallel Algorithms for Optimization on Manifolds NIPS 2018
Reverse Curriculum Generation for Reinforcement Learning CORL 2017