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"Language in context"
Noah Goodman
Author Information
Noah Goodman (Stanford University)
More from the Same Authors
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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 -
2023 Poster: Why think step by step? Reasoning emerges from the locality of experience »
Benjamin Prystawski · Michael Li · Noah Goodman -
2023 Poster: Parsel🐍: Algorithmic Reasoning with Language Models by Composing Decompositions »
Eric Zelikman · Qian Huang · Gabriel Poesia · Noah Goodman · Nick Haber -
2023 Poster: Interpretability at Scale: Identifying Causal Mechanisms in Alpaca »
Zhengxuan Wu · Atticus Geiger · Christopher Potts · Noah Goodman -
2023 Poster: Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning »
Alex Tamkin · Margalit Glasgow · Xiluo He · Noah Goodman -
2023 Poster: Learning to Compress Prompts with Gist Tokens »
Jesse Mu · Xiang Li · Noah Goodman -
2023 Poster: Understanding Social Reasoning in Language Models with Language Models »
Kanishk Gandhi · Jan-Philipp Franken · Tobias Gerstenberg · Noah Goodman -
2023 Oral: Why think step by step? Reasoning emerges from the locality of experience »
Benjamin Prystawski · Michael Li · Noah Goodman -
2022 : MATH-AI: Toward Human-Level Mathematical Reasoning »
Francois Charton · Noah Goodman · Behnam Neyshabur · Talia Ringer · Daniel Selsam -
2022 : Learning Mathematical Reasoning for Education »
Noah Goodman -
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 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