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Teaching

Spring 2022

  • LING-UA 52: Machine Learning for Language Understanding (cross-listed as DS-UA 203) (Sam Bowman)
  • DS-GA 1012: Natural Language Understanding and Computational Semantics (cross-listed as LING-GA 1012) (Sam Bowman)
  • CSCI-GA.3033 Mathematics of Deep Learning Course Website (Joan Bruna)
  • DS-GA.1003 Machine Learning (He He)
  • PSYCH-GA 3405.004 / DS-GS 1016 : Computational cognitive modeling (Brenden Lake)
  • CSCI-GA.2572-​001 Deep Learning (Yann LeCun, Alfredo Canziani)
  • CSCI-UA.480-072 Special Topics: Introduction to Robot Intelligence (Lerrel Pinto)
  • CSCI-GA.2565-001 Machine Learning (Rajesh Ranganath)

Fall 2021

  • DS-GA 3001: PhD Seminar: Scaling Laws, the Bitter Lesson, and AI Research after GPT-3 (Sam Bowman)
  • Deep Learning Course Website (Joan Bruna)
  • DS-GA 1011 Natural Language Processing with Representation Learning (Kyunghyun Cho)
  • Computer Vision – CSCI-GA.2271-001 (Rob Fergus)
  • CSCI-GA.2590 Natural Language Processing (He He)
  • PSYCH-GA 3405.001 : Categories and Concepts (Brenden Lake)
  • PSYCH-UA 46 : Lab in Cognition and Perception (Brenden Lake)
  • Computational Psycholinguistics (Tal Linzen)
  • CSCI-GA.3033-090 Special Topics: Deep Reinforcement Learning (Lerrel Pinto)
  • Bayesian Machine Learning (Andrew Gordon Wilson)

Spring 2021

  • LING-UA 52: Machine Learning for Language Understanding (cross-listed as DS-UA 203) (Sam Bowman)
  • DS-GA 1012: Natural Language Understanding and Computational Semantics (cross-listed as LING-GA 1012) (Sam Bowman)
  • CSCI-GA.3033 Mathematics of Deep Learning Course Website (Joan Bruna)
  • CSCI-UA 74 Big Ideas in Artificial Intelligence (Kyunghyun Cho)
  • DS-GA.1003 Machine Learning (He He)
  • DS-GA 1008 Deep Learning (Yann LeCun, Alfredo Canziani)
  • CSCI-UA 74 Big Ideas in Artificial Intelligence (Lerrel Pinto)
  • CSCI-GA.2565-001 Machine Learning (Rajesh Ranganath)

Fall 2020

  • LING-GA 3340: Team Project Seminar on Large-Scale Annotation for Subtle and Ambiguous Language Tasks (Sam Bowman)
  • DS-GA-1005, CSCI-GA.2569 (Courant+CDS, NYU), Inference and Representation, Course Website (Joan Bruna)
  • DS-GA 1008 Deep Learning (Yann LeCun, Alfredo Canziani, Kyunghyun Cho)
  • Computer Vision – CSCI-GA.2271-001 (Rob Fergus)
  • CSCI-GA.2590 Natural Language Processing (He He)
  • DS-GA 1011 Natural Language Processing with Representation Learning (Tal Linzen)
  • CSCI-GA.3033-090 Special Topics: Deep Reinforcement Learning (Lerrel Pinto)
  • Bayesian Machine Learning (Andrew Gordon Wilson)

Spring 2020

  • LING-UA 52: Machine Learning for Language Understanding (cross-listed as DS-UA 203) (Sam Bowman)
  • DS-GA 1012: Natural Language Understanding and Computational Semantics (cross-listed as LING-GA 1012) (Sam Bowman)
  • PSYCH-GA 3405.002 Computational cognitive modeling  (cross-listed as DS-GS 3001.005) (Brenden Lake)
  • DS-GA 1003 Machine Learning (He He) 

Fall 2019

  • DS-GA 1011 Natural Language Processing with Representation Learning (Kyunghyun Cho)
  • CSCI-GA.3033-​027 Bayesian Machine Learning (Andrew Gordon Wilson)

Spring 2019

  • DS-GA 1012 Natural Language Understanding and Computational Semantics (Sam Bowman and Katharina Kann)
  • LING-GA 3340 Seminar in Semantics: Linguistic Knowledge in Reusable Sentence Encoders Team Project (Sam Bowman)
  • CSCI-UA.0473-​001 Introduction to Machine Learning (Kyunghyun Cho)
  • Mathematics of Deep Learning (Joan Bruna)

Fall 2018

  • LING-UA 6 Patterns in Language (Sam Bowman)
  • DS-GA 1011 Natural Language Processing with Representation Learning (Kyunghyun Cho)
  • CSCI-GA 3033.021 Machine Learning for Healthcare (Rajesh Ranganath)
  • DS-GA-1005, CSCI-GA.2569 Inference and Representations (Joan Bruna)
  • CSCI-GA.2271-001 Computer Vision (Rob Fergus)

Spring 2018

  • CSCI-UA 0473.001 Introduction to Machine Learning (Kyunghyun Cho)
  • CSCI-GA 3033 Mathematics of Deep Learning (Joan Bruna)
  • CSCI-GA 3033.022 Deep Generative Models (Rajesh Ranganath)
  • DS-GA 1008 Deep Learning (Yann LeCun)
  • DS-GA 1012 Natural Language Understanding and Computational Semantics (Sam Bowman)
  • DS-GA 3001.006 Computational cognitive modeling (Brenden Lake)
  • DS-GA 3001.014 Advancing AI through cognitive science (Brenden Lake)
  • LING-GA 3340 Seminar in Semantics: Deep Learning in Semantics (Sam Bowman)

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