Noah D. Goodman

Affiliations:
  • Stanford University, Department of Psychology
  • Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences


According to our database1, Noah D. Goodman authored at least 169 papers between 2007 and 2022.

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Bibliography

2022
Logic, Probability, and Pragmatics in Syllogistic Reasoning.
Top. Cogn. Sci., 2022

Foundation Posteriors for Approximate Probabilistic Inference.
CoRR, 2022

Color Overmodification Emerges from Data-Driven Learning and Pragmatic Reasoning.
CoRR, 2022

Mixed-effects transformers for hierarchical adaptation.
CoRR, 2022

Know Thy Student: Interactive Learning with Gaussian Processes.
CoRR, 2022

Active Learning Helps Pretrained Models Learn the Intended Task.
CoRR, 2022

STaR: Bootstrapping Reasoning With Reasoning.
CoRR, 2022

Language modeling via stochastic processes.
CoRR, 2022

Improving Intrinsic Exploration with Language Abstractions.
CoRR, 2022

Warm (for Winter): Inferring Comparison Classes in Communication.
Cogn. Sci., 2022

Causal Distillation for Language Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Inducing Causal Structure for Interpretable Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022

2021
Applying Probabilistic Programming to Affective Computing.
IEEE Trans. Affect. Comput., 2021

Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study.
CoRR, 2021

Temperature as Uncertainty in Contrastive Learning.
CoRR, 2021

Visual resemblance and communicative context constrain the emergence of graphical conventions.
CoRR, 2021

Modeling Item Response Theory with Stochastic Variational Inference.
CoRR, 2021

On the Opportunities and Risks of Foundation Models.
CoRR, 2021

ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback.
CoRR, 2021

Concadia: Tackling image accessibility with context.
CoRR, 2021

From partners to populations: A hierarchical Bayesian account of coordination and convention.
CoRR, 2021

The Division of Labor in Communication: Speakers Help Listeners Account for Asymmetries in Visual Perspective.
Cogn. Sci., 2021

Improving Compositionality of Neural Networks by Decoding Representations to Inputs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DABS: a Domain-Agnostic Benchmark for Self-Supervised Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Contrastive Reinforcement Learning of Symbolic Reasoning Domains.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Emergent Communication of Generalizations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Conditional Negative Sampling for Contrastive Learning of Visual Representations.
Proceedings of the 9th International Conference on Learning Representations, 2021

Viewmaker Networks: Learning Views for Unsupervised Representation Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Open-domain clarification question generation without question examples.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Calibrate your listeners! Robust communication-based training for pragmatic speakers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

Question Generation for Adaptive Education.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Pragmatic Code Autocomplete.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
The Interactions of Rational, Pragmatic Agents Lead to Efficient Language Structure and Use.
Top. Cogn. Sci., 2020

A Simple Framework for Uncertainty in Contrastive Learning.
CoRR, 2020

On Mutual Information in Contrastive Learning for Visual Representations.
CoRR, 2020

Characterizing the Dynamics of Learning in Repeated Reference Games.
Cogn. Sci., 2020

Analyzing Machine-Learned Representations: A Natural Language Case Study.
Cogn. Sci., 2020

Language Through a Prism: A Spectral Approach for Multiscale Language Representations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Investigating Transferability in Pretrained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Variational Item Response Theory: Fast, Accurate, and Expressive.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Continual Adaptation for Efficient Machine Communication.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

Learning to refer informatively by amortizing pragmatic reasoning.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Meta-Amortized Variational Inference and Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Computational Models of Emotion Inference in Theory of Mind: A Review and Roadmap.
Top. Cogn. Sci., 2019

Pyro: Deep Universal Probabilistic Programming.
J. Mach. Learn. Res., 2019

Multimodal Generative Models for Compositional Representation Learning.
CoRR, 2019

Learning to Explain: Answering Why-Questions via Rephrasing.
CoRR, 2019

Generative Grading: Neural Approximate Parsing for Automated Student Feedback.
CoRR, 2019

When redundancy is rational: A Bayesian approach to 'overinformative' referring expressions.
CoRR, 2019

Variational Estimators for Bayesian Optimal Experimental Design.
CoRR, 2019

Pragmatic inference and visual abstraction enable contextual flexibility during visual communication.
CoRR, 2019

Shaping Visual Representations with Language for Few-shot Classification.
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Variational Bayesian Optimal Experimental Design.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Lost in Machine Translation: A Method to Reduce Meaning Loss.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Tensor Variable Elimination for Plated Factor Graphs.
Proceedings of the 36th International Conference on Machine Learning, 2019

Shapeglot: Learning Language for Shape Differentiation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


Disentangling contributions of visual information and interaction history in the formation of graphical conventions.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

The first crank of the cultural ratchet: Learning and transmitting concepts through language.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

DisSent: Learning Sentence Representations from Explicit Discourse Relations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning from Omission.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Planning, Inference, and Pragmatics in Sequential Language Games.
Trans. Assoc. Comput. Linguistics, 2018

Joint Mapping and Calibration via Differentiable Sensor Fusion.
CoRR, 2018

An Incremental Iterated Response Model of Pragmatics.
CoRR, 2018

Speakers account for asymmetries in visual perspective so listeners don't have to.
CoRR, 2018

Pragmatically Informative Image Captioning with Character-Level Reference.
CoRR, 2018

Bias and Generalization in Deep Generative Models: An Empirical Study.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multimodal Generative Models for Scalable Weakly-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Pragmatically Informative Image Captioning with Character-Level Inference.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Generalizations, from representation to transmission.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Statistics as Pottery: Bayesian Data Analysis using Probabilistic Programs.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Deriving uniform information density behavior in pragmatic agents.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

webppl-oed: A practical optimal experiment design system.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Emerging abstractions: Lexical conventions are shaped by communicative context.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Evaluating Compositionality in Sentence Embeddings.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

An Information-Theoretic Explanation of Adjective Ordering Preferences.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding.
Trans. Assoc. Comput. Linguistics, 2017

Adjectival vagueness in a Bayesian model of interpretation.
Synth., 2017

DisSent: Sentence Representation Learning from Explicit Discourse Relations.
CoRR, 2017

Learning Disentangled Representations with Semi-Supervised Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

"I won't lie, it wasn't amazing": Modeling polite indirect speech.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Warm (for winter): Comparison class understanding in vague language.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Mentioning atypical properties of objects is communicatively efficient.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Convention-formation in iterated reference games.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Amortized Hypothesis Generation.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
A pragmatic theory of generic language.
CoRR, 2016

Inducing Interpretable Representations with Variational Autoencoders.
CoRR, 2016

Neurally-Guided Procedural Models: Learning to Guide Procedural Models with Deep Neural Networks.
CoRR, 2016

Deep Amortized Inference for Probabilistic Programs.
CoRR, 2016

Practical optimal experiment design with probabilistic programs.
CoRR, 2016

A Computational Model of Linguistic Humor in Puns.
Cogn. Sci., 2016

Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning to Generate Compositional Color Descriptions.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Talking with tact: Polite language as a balance between informativity and kindness.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

The Pragmatics of Spatial Language.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Communicating generalizations about events.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

A rational speech-act model of projective content.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Emotions in lay explanations of behavior.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Empirical and Computational Approaches to Metaphor and Figurative Meaning.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

The Emergence of Conventions.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Conversational expectations account for apparent limits on theory of mind use.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Animal, dog, or dalmatian? Level of abstraction in nominal referring expressions.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

What does the crowd believe? A hierarchical approach to estimating subjective beliefs from empirical data.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Learning the Preferences of Ignorant, Inconsistent Agents.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic.
Top. Cogn. Sci., 2015

The Strategic Use of Noise in Pragmatic Reasoning.
Top. Cogn. Sci., 2015

Controlling procedural modeling programs with stochastically-ordered sequential Monte Carlo.
ACM Trans. Graph., 2015

Coarse-to-Fine Sequential Monte Carlo for Probabilistic Programs.
CoRR, 2015

Generating Design Suggestions under Tight Constraints with Gradient-based Probabilistic Programming.
Comput. Graph. Forum, 2015

Toddlers Always Get the Last Word: Recency biases in early verbal behavior.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Near-misses sting even when they are uncontrollable.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Emergent Collective Sensing in Human Groups.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Let's talk (ironically) about the weather: Modeling verbal irony.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

A Resource-Rational Approach to the Causal Frame Problem.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

So good it has to be true: Wishful thinking in theory of mind.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Why do you ask? Good questions provoke informative answers.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

How, whether, why: Causal judgments as counterfactual contrasts.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Wonky worlds: Listeners revise world knowledge when utterances are odd.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Extremely costly intensifiers are stronger than quite costly ones.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Not by number alone: The effect of teachers' knowledge and its value in evaluating "sins of omission".
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
Reasoning about reasoning by nested conditioning: Modeling theory of mind with probabilistic programs.
Cogn. Syst. Res., 2014

One and Done? Optimal Decisions From Very Few Samples.
Cogn. Sci., 2014

Learning physical theories from dynamical scenes.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Some arguments are probably valid: Syllogistic reasoning as communication.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Understanding Affective Cognition: Frontiers in modeling reasoning about others' emotions.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Formalizing the Pragmatics of Metaphor Understanding.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Probability, programs, and the mind: Building structured Bayesian models of cognition.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

From counterfactual simulation to causal judgment.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Amortized Inference in Probabilistic Reasoning.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Symposium: The Role of Alternatives in Pragmatic Inference.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Lost your marbles? The puzzle of dependent measures in experimental pragmatics.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Generating Efficient MCMC Kernels from Probabilistic Programs.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Knowledge and Implicature: Modeling Language Understanding as Social Cognition.
Top. Cogn. Sci., 2013

The principles and practice of probabilistic programming.
Proceedings of the 40th Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2013

Learning Stochastic Inverses.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning and using language via recursive pragmatic reasoning about other agents.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Minimal Nativism: How does cognitive development get off the ground?
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Learned helplessness and generalization.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

The Funny Thing About Incongruity: A Computational Model of Humor in Puns.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
Synthesizing open worlds with constraints using locally annealed reversible jump MCMC.
ACM Trans. Graph., 2012

A Dynamic Programming Algorithm for Inference in Recursive Probabilistic Programs
CoRR, 2012

Learning design patterns with bayesian grammar induction.
Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology, 2012

"Burn-in, bias, and the rationality of anchoring".
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

How many kinds of reasoning? Inference, probability, and natural language semantics.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Noisy Newtons: Unifying process and dependency accounts of causal attribution.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Ping Pong in Church: Productive use of concepts in human probabilistic inference.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

That's what she (could have) said: How alternative utterances affect language use.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Inducing Probabilistic Programs by Bayesian Program Merging
CoRR, 2011

Nonstandard Interpretations of Probabilistic Programs for Efficient Inference.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Bayesian Policy Search with Policy Priors.
Proceedings of the IJCAI 2011, 2011

Learning and the language of thought.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Forward Physics: How people learn and generalize novel dynamical models.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Ad-hoc scalar implicature in adults and children.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Productivity and Reuse in Language: a Developmental Study.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Productivity and Reuse in Language.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010
Learning to Learn Causal Models.
Cogn. Sci., 2010

2009
The Infinite Latent Events Model.
Proceedings of the UAI 2009, 2009

Help or Hinder: Bayesian Models of Social Goal Inference.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
A Rational Analysis of Rule-Based Concept Learning.
Cogn. Sci., 2008

Church: a language for generative models.
Proceedings of the UAI 2008, 2008

A Bayesian Model of Pedagogical Reasoning.
Proceedings of the Naturally-Inspired Artificial Intelligence, 2008

2007
Learning and using relational theories.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A Bayesian Framework for Cross-Situational Word-Learning.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007


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