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Mohammad Norouzi

79 papers hereh-index 7175.5k citations179 works total

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

author position
  • first author5
  • middle author47
  • last author25

Across the 77 of 79 papers where every author was matched, so the position is known.

fields
  • cs.LG35
  • cs.CV19
  • cs.CL10
  • cs.AI4
  • cond-mat.mes-hall3
  • eess.AS3
same name
  • Mohammad Norouzi — 2 papers, h 2
  • Mohammad Norouzi — 2 papers, h 2

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
20132023
most citedA Simple Framework for Contrastive Learning of Visual Representations

7.3k citations · 21.3k across the 74 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2018★ 26 cited

Neural Program Synthesis with Priority Queue Training

Daniel A. Abolafia, Mohammad Norouzi, Jonathan Shen +2

We consider the task of program synthesis in the presence of a reward function over the output of programs, where the goal is to find programs with maximal rewards. We employ an it…

cs.AI2017★ 27 cited

Trust-PCL: An Off-Policy Trust Region Method for Continuous Control

Ofir Nachum, Mohammad Norouzi, Kelvin Xu +1

Trust region methods, such as TRPO, are often used to stabilize policy optimization algorithms in reinforcement learning (RL). While current trust region strategies are effective f…

cs.AI2017★ 214 cited

Bridging the Gap Between Value and Policy Based Reinforcement Learning

Ofir Nachum, Mohammad Norouzi, Kelvin Xu +1

We establish a new connection between value and policy based reinforcement learning (RL) based on a relationship between softmax temporal value consistency and policy optimality un…

cs.AI2016★ 278 cited

Neural Combinatorial Optimization with Reinforcement Learning

Irwan Bello, Hieu Pham, Quoc V. Le +2

This paper presents a framework to tackle combinatorial optimization problems using neural networks and reinforcement learning. We focus on the traveling salesman problem (TSP) and…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.