More from the Same Authors

• 2021 : DABS: a Domain-Agnostic Benchmark for Self-Supervised Learning »
  Alex Tamkin · Vincent Liu · Rongfei Lu · Daniel Fein · Colin Schultz · Noah Goodman
• 2021 : Learning to solve complex tasks by growing knowledge culturally across generations »
  Michael Tessler · Jason Madeano · Pedro Tsividis · Noah Goodman · Josh Tenenbaum
• 2022 : Lemma: Bootstrapping High-Level Mathematical Reasoning with Learned Symbolic Abstractions »
  Zhening Li · Gabriel Poesia Reis e Silva · Omar Costilla Reyes · Noah Goodman · Armando Solar-Lezama
• 2022 : On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning »
  Dilip Arumugam · Mark Ho · Noah Goodman · Benjamin Van Roy
• 2022 : In the ZONE: Measuring difficulty and progression in curriculum generation »
  Rose Wang · Jesse Mu · Dilip Arumugam · Natasha Jaques · Noah Goodman
• 2022 : MATH-AI: Toward Human-Level Mathematical Reasoning »
  Francois Charton · Noah Goodman · Behnam Neyshabur · Talia Ringer · Daniel Selsam
• 2022 : Invited Talk: Noah Goodman »
  Noah Goodman
• 2022 Poster: Assistive Teaching of Motor Control Tasks to Humans »
  Megha Srivastava · Erdem Biyik · Suvir Mirchandani · Noah Goodman · Dorsa Sadigh
• 2022 Poster: CLEVRER-Humans: Describing Physical and Causal Events the Human Way »
  Jiayuan Mao · Xuelin Yang · Xikun Zhang · Noah Goodman · Jiajun Wu
• 2022 Poster: Geoclidean: Few-Shot Generalization in Euclidean Geometry »
  Joy Hsu · Jiajun Wu · Noah Goodman
• 2022 Poster: Active Learning Helps Pretrained Models Learn the Intended Task »
  Alex Tamkin · Dat Nguyen · Salil Deshpande · Jesse Mu · Noah Goodman
• 2022 Poster: Foundation Posteriors for Approximate Probabilistic Inference »
  Mike Wu · Noah Goodman
• 2022 Poster: STaR: Bootstrapping Reasoning With Reasoning »
  Eric Zelikman · Yuhuai Wu · Jesse Mu · Noah Goodman
• 2022 Poster: DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision »
  Alex Tamkin · Gaurab Banerjee · Mohamed Owda · Vincent Liu · Shashank Rammoorthy · Noah Goodman
• 2022 Poster: Improving Intrinsic Exploration with Language Abstractions »
  Jesse Mu · Victor Zhong · Roberta Raileanu · Minqi Jiang · Noah Goodman · Tim Rocktäschel · Edward Grefenstette
• 2021 : Spotlight Talk: Learning to solve complex tasks by growing knowledge culturally across generations »
  Noah Goodman · Josh Tenenbaum · Michael Tessler · Jason Madeano
• 2021 : Multi-party referential communication in complex strategic games »
  Jessica Mankewitz · Veronica Boyce · Brandon Waldon · Georgia Loukatou · Dhara Yu · Jesse Mu · Noah Goodman · Michael C Frank
• 2021 Workshop: Meaning in Context: Pragmatic Communication in Humans and Machines »
  Jennifer Hu · Noga Zaslavsky · Aida Nematzadeh · Michael Franke · Roger Levy · Noah Goodman
• 2021 : Opening remarks »
  Jennifer Hu · Noga Zaslavsky · Aida Nematzadeh · Michael Franke · Roger Levy · Noah Goodman
• 2021 Poster: Emergent Communication of Generalizations »
  Jesse Mu · Noah Goodman
• 2021 Poster: Contrastive Reinforcement Learning of Symbolic Reasoning Domains »
  Gabriel Poesia · WenXin Dong · Noah Goodman
• 2021 Poster: Improving Compositionality of Neural Networks by Decoding Representations to Inputs »
  Mike Wu · Noah Goodman · Stefano Ermon
• 2021 Panel: The Consequences of Massive Scaling in Machine Learning »
  Noah Goodman · Melanie Mitchell · Joelle Pineau · Oriol Vinyals · Jared Kaplan
• 2020 Poster: Language Through a Prism: A Spectral Approach for Multiscale Language Representations »
  Alex Tamkin · Dan Jurafsky · Noah Goodman
• 2019 Poster: Variational Bayesian Optimal Experimental Design »
  Adam Foster · Martin Jankowiak · Elias Bingham · Paul Horsfall · Yee Whye Teh · Thomas Rainforth · Noah Goodman
• 2019 Spotlight: Variational Bayesian Optimal Experimental Design »
  Adam Foster · Martin Jankowiak · Elias Bingham · Paul Horsfall · Yee Whye Teh · Thomas Rainforth · Noah Goodman
• 2018 Poster: Bias and Generalization in Deep Generative Models: An Empirical Study »
  Shengjia Zhao · Hongyu Ren · Arianna Yuan · Jiaming Song · Noah Goodman · Stefano Ermon
• 2018 Spotlight: Bias and Generalization in Deep Generative Models: An Empirical Study »
  Shengjia Zhao · Hongyu Ren · Arianna Yuan · Jiaming Song · Noah Goodman · Stefano Ermon
• 2018 Poster: Multimodal Generative Models for Scalable Weakly-Supervised Learning »
  Mike Wu · Noah Goodman
• 2017 : Morning panel discussion »
  Jürgen Schmidhuber · Noah Goodman · Anca Dragan · Pushmeet Kohli · Dhruv Batra
• 2017 : "Language in context" »
  Noah Goodman
• 2017 Poster: Learning Disentangled Representations with Semi-Supervised Deep Generative Models »
  Siddharth Narayanaswamy · Brooks Paige · Jan-Willem van de Meent · Alban Desmaison · Noah Goodman · Pushmeet Kohli · Frank Wood · Philip Torr
• 2016 Poster: Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks »
  Daniel Ritchie · Anna Thomas · Pat Hanrahan · Noah Goodman
• 2015 Workshop: Bounded Optimality and Rational Metareasoning »
  Samuel J Gershman · Falk Lieder · Tom Griffiths · Noah Goodman
• 2013 Poster: Learning and using language via recursive pragmatic reasoning about other agents »
  Nathaniel J Smith · Noah Goodman · Michael C Frank
• 2013 Poster: Learning Stochastic Inverses »
  Andreas Stuhlmüller · Jacob Taylor · Noah Goodman
• 2012 Workshop: Probabilistic Programming: Foundations and Applications (2 day) »
  Vikash Mansinghka · Daniel Roy · Noah Goodman
• 2012 Workshop: Probabilistic Programming: Foundations and Applications (2 day) »
  Vikash Mansinghka · Daniel Roy · Noah Goodman
• 2012 Poster: Burn-in, bias, and the rationality of anchoring »
  Falk Lieder · Tom Griffiths · Noah Goodman
• 2011 Poster: Nonstandard Interpretations of Probabilistic Programs for Efficient Inference »
  David Wingate · Noah Goodman · Andreas Stuhlmueller · Jeffrey Siskind