Percy Liang

According to our database1, Percy Liang authored at least 155 papers between 2005 and 2020.

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Bibliography

2020
Task-Oriented Dialogue as Dataflow Synthesis.
Trans. Assoc. Comput. Linguistics, 2020

Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases.
CoRR, 2020

Selective Classification Can Magnify Disparities Across Groups.
CoRR, 2020

Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming.
CoRR, 2020

The EOS Decision and Length Extrapolation.
CoRR, 2020

Learning Adaptive Language Interfaces through Decomposition.
CoRR, 2020

Task-Oriented Dialogue as Dataflow Synthesis.
CoRR, 2020

Explore then Execute: Adapting without Rewards via Factorized Meta-Reinforcement Learning.
CoRR, 2020

Robustness to Spurious Correlations via Human Annotations.
CoRR, 2020

Learning Abstract Models for Strategic Exploration and Fast Reward Transfer.
CoRR, 2020

Concept Bottleneck Models.
CoRR, 2020

Simplifying Models with Unlabeled Output Data.
CoRR, 2020

Graph-based, Self-Supervised Program Repair from Diagnostic Feedback.
CoRR, 2020

An Investigation of Why Overparameterization Exacerbates Spurious Correlations.
CoRR, 2020

Understanding Self-Training for Gradual Domain Adaptation.
CoRR, 2020

Understanding and Mitigating the Tradeoff Between Robustness and Accuracy.
CoRR, 2020

A Tight Analysis of Greedy Yields Subexponential Time Approximation for Uniform Decision Tree.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

Distributionally Robust Neural Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Strategies for Pre-training Graph Neural Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Selection via Proxy: Efficient Data Selection for Deep Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, 2020

RNNs can generate bounded hierarchical languages with optimal memory.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ExpBERT: Representation Engineering with Natural Language Explanations.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Selective Question Answering under Domain Shift.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Robust Encodings: A Framework for Combating Adversarial Typos.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Enabling Language Models to Fill in the Blanks.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
FrAngel: component-based synthesis with control structures.
Proc. ACM Program. Lang., 2019

Noise Induces Loss Discrepancy Across Groups for Linear Regression.
CoRR, 2019

Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.
CoRR, 2019

Learning Autocomplete Systems as a Communication Game.
CoRR, 2019

Adversarial Training Can Hurt Generalization.
CoRR, 2019

Maximum Weighted Loss Discrepancy.
CoRR, 2019

Pre-training Graph Neural Networks.
CoRR, 2019

Ambitious Data Science Can Be Painless.
CoRR, 2019

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

Verified Uncertainty Calibration.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

SPoC: Search-based Pseudocode to Code.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the Accuracy of Influence Functions for Measuring Group Effects.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Unlabeled Data Improves Adversarial Robustness.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Pun Generation with Surprise.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Unifying Human and Statistical Evaluation for Natural Language Generation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Learning a SAT Solver from Single-Bit Supervision.
Proceedings of the 7th International Conference on Learning Representations, 2019

Distributionally Robust Language Modeling.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Certified Robustness to Adversarial Word Substitutions.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Designing and Interpreting Probes with Control Tasks.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Defending against Whitebox Adversarial Attacks via Randomized Discretization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Inferring Multidimensional Rates of Aging from Cross-Sectional Data.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

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

Generating Sentences by Editing Prototypes.
Trans. Assoc. Comput. Linguistics, 2018

Stronger Data Poisoning Attacks Break Data Sanitization Defenses.
CoRR, 2018

Transforming Question Answering Datasets Into Natural Language Inference Datasets.
CoRR, 2018

Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data.
CoRR, 2018

The price of debiasing automatic metrics in natural language evaluation.
CoRR, 2018

Prediction with a short memory.
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, 2018

Active learning of points-to specifications.
Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018

Semidefinite relaxations for certifying robustness to adversarial examples.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Retrieve-and-Edit Framework for Predicting Structured Outputs.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

On the Relationship between Data Efficiency and Error for Uncertainty Sampling.
Proceedings of the 35th International Conference on Machine Learning, 2018

Fairness Without Demographics in Repeated Loss Minimization.
Proceedings of the 35th International Conference on Machine Learning, 2018

Certified Defenses against Adversarial Examples.
Proceedings of the 6th International Conference on Learning Representations, 2018

Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration.
Proceedings of the 6th International Conference on Learning Representations, 2018

Mapping natural language commands to web elements.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Decoupling Strategy and Generation in Negotiation Dialogues.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

QuAC: Question Answering in Context.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Generalized Binary Search For Split-Neighborly Problems.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Know What You Don't Know: Unanswerable Questions for SQuAD.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Training Classifiers with Natural Language Explanations.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

The price of debiasing automatic metrics in natural language evalaution.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Synthesizing program input grammars.
Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2017

Certified Defenses for Data Poisoning Attacks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Overcomplete HMMs.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Unsupervised Transformation Learning via Convex Relaxations.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Convexified Convolutional Neural Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

World of Bits: An Open-Domain Platform for Web-Based Agents.
Proceedings of the 34th International Conference on Machine Learning, 2017

Developing Bug-Free Machine Learning Systems With Formal Mathematics.
Proceedings of the 34th International Conference on Machine Learning, 2017

Understanding Black-box Predictions via Influence Functions.
Proceedings of the 34th International Conference on Machine Learning, 2017

Macro Grammars and Holistic Triggering for Efficient Semantic Parsing.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Adversarial Examples for Evaluating Reading Comprehension Systems.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Importance sampling for unbiased on-demand evaluation of knowledge base population.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics.
Proceedings of the 30th Conference on Learning Theory, 2017

Naturalizing a Programming Language via Interactive Learning.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Learning executable semantic parsers for natural language understanding.
Commun. ACM, 2016

Unsupervised Risk Estimation Using Only Conditional Independence Structure.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Estimation from Indirect Supervision with Linear Moments.
Proceedings of the 33nd International Conference on Machine Learning, 2016

SQuAD: 100, 000+ Questions for Machine Comprehension of Text.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Learning Language Games through Interaction.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Inferring Logical Forms From Denotations.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Simpler Context-Dependent Logical Forms via Model Projections.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Data Recombination for Neural Semantic Parsing.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Imitation Learning of Agenda-based Semantic Parsers.
Trans. Assoc. Comput. Linguistics, 2015

Simultaneous diagonalization: the asymmetric, low-rank, and noisy settings.
CoRR, 2015

On-the-Job Learning with Bayesian Decision Theory.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Estimating Mixture Models via Mixtures of Polynomials.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Learning with Relaxed Supervision.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Calibrated Structured Prediction.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Learning Fast-Mixing Models for Structured Prediction.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Reified Context Models.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Traversing Knowledge Graphs in Vector Space.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Learning Where to Sample in Structured Prediction.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Tensor Factorization via Matrix Factorization.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Building a Semantic Parser Overnight.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Compositional Semantic Parsing on Semi-Structured Tables.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Environment-Driven Lexicon Induction for High-Level Instructions.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Talking to computers in natural language.
XRDS, 2014

Relaxations for inference in restricted Boltzmann machines.
Proceedings of the 2nd International Conference on Learning Representations, 2014

The Statistics of Streaming Sparse Regression.
CoRR, 2014

Altitude Training: Strong Bounds for Single-Layer Dropout.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Simple MAP Inference via Low-Rank Relaxations.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm.
Proceedings of the 31th International Conference on Machine Learning, 2014

Filtering with Abstract Particles.
Proceedings of the 31th International Conference on Machine Learning, 2014

Estimating Latent-Variable Graphical Models using Moments and Likelihoods.
Proceedings of the 31th International Conference on Machine Learning, 2014

Linking People in Videos with "Their" Names Using Coreference Resolution.
Proceedings of the Computer Vision - ECCV 2014, 2014

Zero-shot Entity Extraction from Web Pages.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Semantic Parsing via Paraphrasing.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Lambda Dependency-Based Compositional Semantics.
CoRR, 2013

Learning Dependency-Based Compositional Semantics.
Comput. Linguistics, 2013

Dropout Training as Adaptive Regularization.
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

Spectral Experts for Estimating Mixtures of Linear Regressions.
Proceedings of the 30th International Conference on Machine Learning, 2013

Video Event Understanding Using Natural Language Descriptions.
Proceedings of the IEEE International Conference on Computer Vision, 2013

A Data Driven Approach for Algebraic Loop Invariants.
Proceedings of the Programming Languages and Systems, 2013

Feature Noising for Log-Linear Structured Prediction.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Semantic Parsing on Freebase from Question-Answer Pairs.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012
Identifiability and Unmixing of Latent Parse Trees.
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

2011
Learning minimal abstractions.
Proceedings of the 38th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2011

Scaling abstraction refinement via pruning.
Proceedings of the 32nd ACM SIGPLAN Conference on Programming Language Design and Implementation, 2011

2010
A dynamic evaluation of the precision of static heap abstractions.
Proceedings of the 25th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2010

Type-Based MCMC.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

On the Interaction between Norm and Dimensionality: Multiple Regimes in Learning.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Learning Programs: A Hierarchical Bayesian Approach.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

A Game-Theoretic Approach to Generating Spatial Descriptions.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

A Simple Domain-Independent Probabilistic Approach to Generation.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

2009
Asymptotically Optimal Regularization in Smooth Parametric Models.
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

Online EM for Unsupervised Models.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Learning from measurements in exponential families.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Learning Semantic Correspondences with Less Supervision.
Proceedings of the ACL 2009, 2009

2008
An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators.
Proceedings of the Machine Learning, 2008

Structure compilation: trading structure for features.
Proceedings of the Machine Learning, 2008

Analyzing the Errors of Unsupervised Learning.
Proceedings of the ACL 2008, 2008

Learning Bilingual Lexicons from Monolingual Corpora.
Proceedings of the ACL 2008, 2008

2007
Agreement-Based Learning.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A Probabilistic Approach to Language Change.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A permutation-augmented sampler for DP mixture models.
Proceedings of the Machine Learning, 2007

The Infinite PCFG Using Hierarchical Dirichlet Processes.
Proceedings of the EMNLP-CoNLL 2007, 2007

A Probabilistic Approach to Diachronic Phonology.
Proceedings of the EMNLP-CoNLL 2007, 2007

2006
Alignment by Agreement.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

An End-to-End Discriminative Approach to Machine Translation.
Proceedings of the ACL 2006, 2006

2005
Efficient Geometric Algorithms for Parsing in Two Dimensions.
Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

Learning Non-Generative Grammatical Models for Document Analysis.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005


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