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Chen Zhu

44 papers · 2017–2026 · 11 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 13 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Chen Zhu?

6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Tom Goldstein, Kezhi Kong, Micah Goldblum 19 papers · 2019–2024 · ICLR, NeurIPS, ICML Hide ▲
ODIN: Disentangled Reward Mitigates Hacking in RLHF ICML 2024 Retrieval meets Long Context Large Language Models ICLR 2024 How Many Demonstrations Do You Need for In-context Learning? EMNLP 2023 On the Exploitability of Instruction Tuning NeurIPS 2023 Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions ICLR 2022 Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations ICML 2022 Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors NeurIPS 2022 Robust Optimization As Data Augmentation for Large-Scale Graphs CVPR 2022 Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks AAAI 2021 GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training NeurIPS 2021 Long-Short Transformer: Efficient Transformers for Language and Vision NeurIPS 2021 The Intrinsic Dimension of Images and Its Impact on Learning ICLR 2021 VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization NeurIPS 2021 Adversarially robust transfer learning ICLR 2020 Certified Defenses for Adversarial Patches ICLR 2020 FreeLB: Enhanced Adversarial Training for Natural Language Understanding ICLR 2020 Large-Scale Adversarial Training for Vision-and-Language Representation Learning NeurIPS 2020 Learning From Noisy Anchors for One-Stage Object Detection CVPR 2020 Transferable Clean-Label Poisoning Attacks on Deep Neural Nets ICML 2019
7 papers whose co-authors appear nowhere else under this name