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Chiyuan Zhang

20 papers hereh-index 2520.3k citations53 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author7
  • last author8

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • cs.LG13
  • stat.ML3
  • cs.AI1
  • cs.CL1
  • cs.CV1
  • cs.DS1
same name
  • Chiyuan Zhang — 24 papers, h 15
  • Chiyuan Zhang — 11 papers, h 11
  • Chiyuan Zhang — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162023
most citedUnderstanding deep learning requires rethinking generalization

1.1k citations · 1.4k across the 8 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

stat.ML2018

Unrestricted Adversarial Examples

Tom B. Brown, Nicholas Carlini, Chiyuan Zhang +3

We introduce a two-player contest for evaluating the safety and robustness of machine learning systems, with a large prize pool. Unlike most prior work in ML robustness, which stud…

cs.LG2018

A Study on Overfitting in Deep Reinforcement Learning

Chiyuan Zhang, Oriol Vinyals, Remi Munos +1

Recent years have witnessed significant progresses in deep Reinforcement Learning (RL). Empowered with large scale neural networks, carefully designed architectures, novel training…

cs.AI2018

Machine Theory of Mind

Neil C. Rabinowitz, Frank Perbet, H. Francis Song +3

Theory of mind (ToM; Premack & Woodruff, 1978) broadly refers to humans' ability to represent the mental states of others, including their desires, beliefs, and intentions. We prop…

cs.LG2018★ 44 cited

Theory of Deep Learning IIb: Optimization Properties of SGD

Chiyuan Zhang, Qianli Liao, Alexander Rakhlin +3

In Theory IIb we characterize with a mix of theory and experiments the optimization of deep convolutional networks by Stochastic Gradient Descent. The main new result in this paper…

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