Zachary C. Lipton

251 papers A* 41A 7B 3C 4Misc 2Journal 151Unranked 40
YearRankTypeTitle / Venue / Authors
2025 J jnl
AI Mentors for Student Projects: Spotting Early Issues in Computer Science Proposals.
CoRR
Gati Aher, Robin Schmucker, Tom M. Mitchell, Zachary C. Lipton
2025 J jnl
AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation.
J. Am. Medical Informatics Assoc.
Shalmali Joshi, Iñigo Urteaga, Wouter A. C. van Amsterdam, George Hripcsak, Pierre A. Elias, Benjamin R. C. Amor, Noémie Elhadad, James C. Fackler, Mark P. Sendak, Jenna Wiens, Kaivalya Deshpande, Yoav Wald, Madalina Fiterau, Zachary C. Lipton, Daniel Malinsky, Madhur Nayan, Hongseok Namkoong, Soojin Park, Julia E. Vogt, Rajesh Ranganath
2025 J jnl
No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference.
CoRR
Pranav Mani, Peng Xu, Zachary C. Lipton, Michael Oberst
2025 J jnl
OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics.
CoRR
Vineeth Dorna, Anmol Mekala, Wenlong Zhao, Andrew McCallum, Zachary C. Lipton, J. Zico Kolter, Pratyush Maini
2025 J jnl
Using Imperfect Synthetic Data in Downstream Inference Tasks.
CoRR
Yewon Byun, Shantanu Gupta, Zachary C. Lipton, Rachel Leah Childers, Bryan Wilder
2024 J jnl
A Unified Causal Framework for Auditing Recommender Systems for Ethical Concerns.
CoRR
Vibhhu Sharma, Shantanu Gupta, Nil-Jana Akpinar, Zachary C. Lipton, Liu Leqi
2024 A* conf
A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning.
NeurIPS
Tom Yan, Zachary C. Lipton
2024 — conf
Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends.
ACL (1)
Sanjana Ramprasad, Elisa Ferracane, Zachary C. Lipton
2024 J jnl
Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends.
CoRR
Sanjana Ramprasad, Elisa Ferracane, Zachary C. Lipton
2024 A conf
Auditing Fairness under Unobserved Confounding.
AISTATS
Yewon Byun, Dylan Sam, Michael Oberst, Zachary C. Lipton, Bryan Wilder
2024 J jnl
Auditing Fairness under Unobserved Confounding.
CoRR
Yewon Byun, Dylan Sam, Michael Oberst, Zachary C. Lipton, Bryan Wilder
2024 J jnl
Beyond the Mud: Datasets and Benchmarks for Computer Vision in Off-Road Racing.
CoRR
Jacob Tyo, Motolani Olarinre, Youngseog Chung, Zachary C. Lipton
2024 J jnl
Contrastive Multiple Instance Learning for Weakly Supervised Person ReID.
CoRR
Jacob Tyo, Zachary C. Lipton
2024 — conf
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains.
EACL (2)
Sanjana Ramprasad, Kundan Krishna, Zachary C. Lipton, Byron C. Wallace
2024 J jnl
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains.
CoRR
Sanjana Ramprasad, Kundan Krishna, Zachary C. Lipton, Byron C. Wallace
2024 J jnl
Failure Modes of LLMs for Causal Reasoning on Narratives.
CoRR
Khurram Yamin, Shantanu Gupta, Gaurav R. Ghosal, Zachary C. Lipton, Bryan Wilder
2024 J jnl
GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence.
CoRR
Kundan Krishna, Sanjana Ramprasad, Prakhar Gupta, Byron C. Wallace, Zachary C. Lipton, Jeffrey P. Bigham
2024 J jnl
Generate to Discriminate: Expert Routing for Continual Learning.
CoRR
Yewon Byun, Sanket Vaibhav Mehta, Saurabh Garg, Emma Strubell, Michael Oberst, Bryan Wilder, Zachary C. Lipton
2024 — conf
Goodhart's Law Applies to NLP's Explanation Benchmarks.
EACL (Findings)
Jennifer Hsia, Danish Pruthi, Aarti Singh, Zachary C. Lipton
2024 J jnl
LLM-Select: Feature Selection with Large Language Models.
CoRR
Daniel P. Jeong, Zachary C. Lipton, Pradeep Ravikumar
2024 — ed.
Machine Learning for Healthcare Conference, 16-17 August 2024, Toronto, Canada.
MLHC
Kaivalya Deshpande, Madalina Fiterau, Shalmali Joshi, Zachary C. Lipton, Rajesh Ranganath, Iñigo Urteaga
2024 A* conf
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
EMNLP
Daniel P. Jeong, Saurabh Garg, Zachary C. Lipton, Michael Oberst
2024 J jnl
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
CoRR
Daniel P. Jeong, Saurabh Garg, Zachary C. Lipton, Michael Oberst
2024 J jnl
Online Data Collection for Efficient Semiparametric Inference.
CoRR
Shantanu Gupta, Zachary C. Lipton, David Childers
2024 B conf
Partially Interpretable Models with Guarantees on Coverage and Accuracy.
ALT
Nave Frost, Zachary C. Lipton, Yishay Mansour, Michal Moshkovitz
2024 J jnl
Personalized Language Modeling from Personalized Human Feedback.
CoRR
Xinyu Li, Zachary C. Lipton, Liu Leqi
2024 A* conf
Post-Hoc Reversal: Are We Selecting Models Prematurely?
NeurIPS
Rishabh Ranjan, Saurabh Garg, Mrigank Raman, Carlos Guestrin, Zachary C. Lipton
2024 — conf
Red-Teaming for Generative AI: Silver Bullet or Security Theater?
AIES (1)
Michael Feffer, Anusha Sinha, Wesley H. Deng, Zachary C. Lipton, Hoda Heidari
2024 J jnl
Red-Teaming for Generative AI: Silver Bullet or Security Theater?
CoRR
Michael Feffer, Anusha Sinha, Zachary C. Lipton, Hoda Heidari
2024 J jnl
Resolving the Human-Subjects Status of ML's Crowdworkers.
Commun. ACM
Divyansh Kaushik, Zachary C. Lipton, Alex John London
2024 J jnl
Resolving the Human-subjects Status of Machine Learning's Crowdworkers: What ethical framework should govern the interaction of ML researchers and crowdworkers?
ACM Queue
Divyansh Kaushik, Zachary C. Lipton, Alex John London
2024 A* conf
Rethinking LLM Memorization through the Lens of Adversarial Compression.
NeurIPS
Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter
2024 J jnl
Rethinking LLM Memorization through the Lens of Adversarial Compression.
CoRR
Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter
2024 A* conf
Scaling Laws for Data Filtering - Data Curation Cannot be Compute Agnostic.
CVPR
Sachin Goyal, Pratyush Maini, Zachary C. Lipton, Aditi Raghunathan, J. Zico Kolter
2024 J jnl
Scaling Laws for Data Filtering - Data Curation cannot be Compute Agnostic.
CoRR
Sachin Goyal, Pratyush Maini, Zachary C. Lipton, Aditi Raghunathan, J. Zico Kolter
2024 J jnl
TOFU: A Task of Fictitious Unlearning for LLMs.
CoRR
Pratyush Maini, Zhili Feng, Avi Schwarzschild, Zachary C. Lipton, J. Zico Kolter
2024 A* conf
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning.
NeurIPS
Jake Fawkes, Nic Fishman, Mel Andrews, Zachary C. Lipton
2024 J jnl
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning.
CoRR
Jake Fawkes, Nic Fishman, Mel Andrews, Zachary C. Lipton
2024 — conf
The Future of Web Data Mining: Insights from Multimodal and Code-based Extraction Methods.
CASE
Evan Fellman, Jacob Tyo, Zachary C. Lipton
2024 — conf
The Impact of Differential Feature Under-reporting on Algorithmic Fairness.
FAccT
Nil-Jana Akpinar, Zachary C. Lipton, Alexandra Chouldechova
2024 J jnl
The Impact of Differential Feature Under-reporting on Algorithmic Fairness.
CoRR
Nil-Jana Akpinar, Zachary C. Lipton, Alexandra Chouldechova
2024 J jnl
The Limited Impact of Medical Adaptation of Large Language and Vision-Language Models.
CoRR
Daniel P. Jeong, Pranav Mani, Saurabh Garg, Zachary C. Lipton, Michael Oberst
2024 A conf
Timing as an Action: Learning When to Observe and Act.
AISTATS
Helen Zhou, Audrey Huang, Kamyar Azizzadenesheli, David Childers, Zachary C. Lipton
2024 J jnl
Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions.
CoRR
Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Ziqiao Ma, Savvas Petridis, Yi-Hao Peng, Li Qiwei, Sushrita Rakshit, Chenglei Si, Yutong Xie, Jeffrey P. Bigham, Frank Bentley, Joyce Chai, Zachary C. Lipton, Qiaozhu Mei, Rada Mihalcea, Michael Terry, Diyi Yang, Meredith Ringel Morris, Paul Resnick, David Jurgens
2024 A* conf
Understanding Hallucinations in Diffusion Models through Mode Interpolation.
NeurIPS
Sumukh K. Aithal, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter
2024 J jnl
Understanding Hallucinations in Diffusion Models through Mode Interpolation.
CoRR
Sumukh K. Aithal, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter
2023 A* conf
A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits.
CHI
Liu Leqi, Giulio Zhou, Fatma Kilinç-Karzan, Zachary C. Lipton, Alan L. Montgomery
2023 J jnl
A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits.
CoRR
Liu Leqi, Giulio Zhou, Fatma Kilinç-Karzan, Zachary C. Lipton, Alan L. Montgomery
2023 J jnl
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets.
CoRR
Zachary Novack, Saurabh Garg, Julian J. McAuley, Zachary C. Lipton
2023 J jnl
Can Neural Network Memorization Be Localized?
CoRR
Pratyush Maini, Michael C. Mozer, Hanie Sedghi, Zachary C. Lipton, J. Zico Kolter, Chiyuan Zhang
2023 A* conf
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift.
NeurIPS
Saurabh Garg, Amrith Setlur, Zachary C. Lipton, Sivaraman Balakrishnan, Virginia Smith, Aditi Raghunathan
2023 A* conf
Deep Equilibrium Based Neural Operators for Steady-State PDEs.
NeurIPS
Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski
2023 J jnl
Deep Equilibrium Based Neural Operators for Steady-State PDEs.
CoRR
Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski
2023 — conf
DeepDrake ft. BTS-GAN and TayloRVC: An Exploratory Analysis of Musical Deepfakes and Hosting Platforms.
HCMIR@ISMIR
Michael Feffer, Zachary C. Lipton, Chris Donahue
2023 J jnl
Discovering Optimal Scoring Mechanisms in Causal Strategic Prediction.
CoRR
Tom Yan, Shantanu Gupta, Zachary C. Lipton
2023 A conf
Domain Adaptation under Missingness Shift.
AISTATS
Helen Zhou, Sivaraman Balakrishnan, Zachary C. Lipton
2023 — conf
Downstream Datasets Make Surprisingly Good Pretraining Corpora.
ACL (1)
Kundan Krishna, Saurabh Garg, Jeffrey P. Bigham, Zachary C. Lipton
2023 — conf
Evaluating Model Performance in Medical Datasets Over Time.
CHIL
Helen Zhou, Yuwen Chen, Zachary C. Lipton
2023 J jnl
Evaluating Model Performance in Medical Datasets Over Time.
CoRR
Helen Zhou, Yuwen Chen, Zachary C. Lipton
2023 C conf
From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research.
AIES
Michael Feffer, Michael Skirpan, Zachary C. Lipton, Hoda Heidari
2023 J jnl
Goodhart's Law Applies to NLP's Explanation Benchmarks.
CoRR
Jennifer Hsia, Danish Pruthi, Aarti Singh, Zachary C. Lipton
2023 J jnl
Local Causal Discovery for Estimating Causal Effects.
CoRR
Shantanu Gupta, David Childers, Zachary C. Lipton
2023 J jnl
MUDD: A New Re-Identification Dataset with Efficient Annotation for Off-Road Racers in Extreme Conditions.
CoRR
Jacob Tyo, Motolani Olarinre, Youngseog Chung, Zachary C. Lipton
2023 — ed.
Machine Learning for Healthcare Conference, MLHC 2023, 11-12 August 2023, New York, USA.
MLHC
Kaivalya Deshpande, Madalina Fiterau, Shalmali Joshi, Zachary C. Lipton, Rajesh Ranganath, Iñigo Urteaga, Serene Yeung
2023 J jnl
Meta-Learning Mini-Batch Risk Functionals.
CoRR
Jacob Tyo, Zachary C. Lipton
2023 J jnl
MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains.
CoRR
Yuwen Chen, Helen Zhou, Zachary C. Lipton
2023 A* conf
Model-tuning Via Prompts Makes NLP Models Adversarially Robust.
EMNLP
Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi
2023 J jnl
Model-tuning Via Prompts Makes NLP Models Adversarially Robust.
CoRR
Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi
2023 A* conf
Moral Machine or Tyranny of the Majority?
AAAI
Michael Feffer, Hoda Heidari, Zachary C. Lipton
2023 J jnl
Moral Machine or Tyranny of the Majority?
CoRR
Michael Feffer, Hoda Heidari, Zachary C. Lipton
2023 A* conf
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms.
NeurIPS
Dheeraj Baby, Saurabh Garg, Tzu-Ching Yen, Sivaraman Balakrishnan, Zachary C. Lipton, Yu-Xiang Wang
2023 J jnl
Perspectives on the State and Future of Deep Learning - 2023.
CoRR
Micah Goldblum, Anima Anandkumar, Richard G. Baraniuk, Tom Goldstein, Kyunghyun Cho, Zachary C. Lipton, Melanie Mitchell, Preetum Nakkiran, Max Welling, Andrew Gordon Wilson
2023 J jnl
PromptNER: Prompting For Named Entity Recognition.
CoRR
Dhananjay Ashok, Zachary C. Lipton
2023 J jnl
RLSbench: Domain Adaptation Under Relaxed Label Shift.
CoRR
Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary C. Lipton
2023 J jnl
Reading Between the Mud: A Challenging Motorcycle Racer Number Dataset.
CoRR
Jacob Tyo, Youngseog Chung, Motolani Olarinre, Zachary C. Lipton
2023 J jnl
Risk-limiting Financial Audits via Weighted Sampling without Replacement.
CoRR
Shubhanshu Shekhar, Ziyu Xu, Zachary C. Lipton, Pierre J. Liang, Aaditya Ramdas
2023 A conf
Risk-limiting financial audits via weighted sampling without replacement.
UAI
Shubhanshu Shekhar, Ziyu Xu, Zachary C. Lipton, Pierre J. Liang, Aaditya Ramdas
2023 J jnl
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning.
CoRR
Pratyush Maini, Sachin Goyal, Zachary C. Lipton, J. Zico Kolter, Aditi Raghunathan
2023 — conf
USB: A Unified Summarization Benchmark Across Tasks and Domains.
EMNLP (Findings)
Kundan Krishna, Prakhar Gupta, Sanjana Ramprasad, Byron C. Wallace, Jeffrey P. Bigham, Zachary C. Lipton
2023 J jnl
USB: A Unified Summarization Benchmark Across Tasks and Domains.
CoRR
Kundan Krishna, Prakhar Gupta, Sanjana Ramprasad, Byron C. Wallace, Jeffrey P. Bigham, Zachary C. Lipton
2023 J jnl
Users are the North Star for AI Transparency.
CoRR
Alex Mei, Michael Saxon, Shiyu Chang, Zachary C. Lipton, William Yang Wang
2023 — conf
Valla: Standardizing and Benchmarking Authorship Attribution and Verification Through Empirical Evaluation and Comparative Analysis.
IJCNLP (1)
Jacob Tyo, Bhuwan Dhingra, Zachary C. Lipton
2022 J jnl
Can Transformers be Strong Treatment Effect Estimators?
CoRR
Yifan Zhang, Hanlin Zhang, Zachary C. Lipton, Li Erran Li, Eric P. Xing
2022 A* conf
Characterizing Datapoints via Second-Split Forgetting.
NeurIPS
Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter
2022 J jnl
Characterizing Datapoints via Second-Split Forgetting.
CoRR
Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter
2022 J jnl
Data drift correction via time-varying importance weight estimator.
CoRR
Rasool Fakoor, Jonas Mueller, Zachary C. Lipton, Pratik Chaudhari, Alexander J. Smola
2022 J jnl
Disentangling the Mechanisms Behind Implicit Regularization in SGD.
CoRR
Zachary Novack, Simran Kaur, Tanya Marwah, Saurabh Garg, Zachary C. Lipton
2022 J jnl
Domain Adaptation under Missingness Shift.
CoRR
Helen Zhou, Sivaraman Balakrishnan, Zachary C. Lipton
2022 A* conf
Domain Adaptation under Open Set Label Shift.
NeurIPS
Saurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton
2022 J jnl
Domain Adaptation under Open Set Label Shift.
CoRR
Saurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton
2022 J jnl
Downstream Datasets Make Surprisingly Good Pretraining Corpora.
CoRR
Kundan Krishna, Saurabh Garg, Jeffrey P. Bigham, Zachary C. Lipton
2022 J jnl
Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students?
Trans. Assoc. Comput. Linguistics
Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen
2022 A* conf
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations.
AAAI
Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig
2022 B conf
Homophily and Incentive Effects in Use of Algorithms.
CogSci
Riccardo Fogliato, Sina Fazelpour, Shantanu Gupta, Zachary C. Lipton, David Danks
2022 J jnl
Homophily and Incentive Effects in Use of Algorithms.
CoRR
Riccardo Fogliato, Sina Fazelpour, Shantanu Gupta, Zachary C. Lipton, David Danks
2022 Misc conf
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19.
AMIA
Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss
2022 J jnl
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19.
CoRR
Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss
2022 J jnl
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance.
CoRR
Saurabh Garg, Sivaraman Balakrishnan, Zachary C. Lipton, Behnam Neyshabur, Hanie Sedghi
2022 J jnl
Model Evaluation in Medical Datasets Over Time.
CoRR
Helen Zhou, Yuwen Chen, Zachary C. Lipton
2022 A* conf
Modeling Attrition in Recommender Systems with Departing Bandits.
AAAI
Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour
2022 J jnl
Modeling Attrition in Recommender Systems with Departing Bandits.
CoRR
Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour
2022 J jnl
Neural Network Approximations of PDEs Beyond Linearity: Representational Perspective.
CoRR
Tanya Marwah, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski
2022 A conf
Off-Policy Risk Assessment for Markov Decision Processes.
AISTATS
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
2022 J jnl
On the Maximum Hessian Eigenvalue and Generalization.
CoRR
Simran Kaur, Jeremy Cohen, Zachary C. Lipton
2022 J jnl
On the State of the Art in Authorship Attribution and Authorship Verification.
CoRR
Jacob Tyo, Bhuwan Dhingra, Zachary C. Lipton
2022 — conf
Practical Benefits of Feature Feedback Under Distribution Shift.
BlackboxNLP@EMNLP
Anurag Katakkar, Clay H. Yoo, Weiqin Wang, Zachary C. Lipton, Divyansh Kaushik
2022 — ed.
Proceedings of the Machine Learning for Healthcare Conference, MLHC 2022, 5-6 August 2022, Durham, NC, USA.
MLHC
Zachary C. Lipton, Rajesh Ranganath, Mark P. Sendak, Michael W. Sjoding, Serena Yeung
2022 J jnl
Resolving the Human Subjects Status of Machine Learning's Crowdworkers.
CoRR
Divyansh Kaushik, Zachary C. Lipton, Alex John London
2022 A* conf
Supervised Learning with General Risk Functionals.
ICML
Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli
2022 J jnl
Supervised Learning with General Risk Functionals.
CoRR
Liu Leqi, Audrey Huang, Zachary C. Lipton, Kamyar Azizzadenesheli
2022 A* conf
Unsupervised Learning under Latent Label Shift.
NeurIPS
Manley Roberts, Pranav Mani, Saurabh Garg, Zachary C. Lipton
2022 J jnl
Unsupervised Learning under Latent Label Shift.
CoRR
Manley Roberts, Pranav Mani, Saurabh Garg, Zachary C. Lipton
2021 A* conf
Correcting Exposure Bias for Link Recommendation.
ICML
Shantanu Gupta, Hao Wang, Zachary C. Lipton, Yuyang Wang
2021 J jnl
Correcting Exposure Bias for Link Recommendation.
CoRR
Shantanu Gupta, Hao Wang, Zachary C. Lipton, Yuyang Wang
2021 J jnl
Dive into Deep Learning.
CoRR
Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola
2021 — conf
Does Pretraining for Summarization Require Knowledge Transfer?
EMNLP (Findings)
Kundan Krishna, Jeffrey P. Bigham, Zachary C. Lipton
2021 J jnl
Does Pretraining for Summarization Require Knowledge Transfer?
CoRR
Kundan Krishna, Jeffrey P. Bigham, Zachary C. Lipton
2021 A* conf
Efficient Online Estimation of Causal Effects by Deciding What to Observe.
NeurIPS
Shantanu Gupta, Zachary C. Lipton, David Childers
2021 J jnl
Efficient Online Estimation of Causal Effects by Deciding What to Observe.
CoRR
Shantanu Gupta, Zachary C. Lipton, David Childers
2021 A conf
Estimating treatment effects with observed confounders and mediators.
UAI
Shantanu Gupta, Zachary C. Lipton, David Childers
2021 J jnl
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations.
CoRR
Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig
2021 C conf
Fair Machine Learning Under Partial Compliance.
AIES
Jessica Dai, Sina Fazelpour, Zachary C. Lipton
2021 — conf
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques.
ACL/IJCNLP (1)
Kundan Krishna, Sopan Khosla, Jeffrey P. Bigham, Zachary C. Lipton
2021 A* conf
Mixture Proportion Estimation and PU Learning: A Modern Approach.
NeurIPS
Saurabh Garg, Yifan Wu, Alexander J. Smola, Sivaraman Balakrishnan, Zachary C. Lipton
2021 J jnl
Mixture Proportion Estimation and PU Learning: A Modern Approach.
CoRR
Saurabh Garg, Yifan Wu, Alex Smola, Sivaraman Balakrishnan, Zachary C. Lipton
2021 A* conf
Off-Policy Risk Assessment in Contextual Bandits.
NeurIPS
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
2021 J jnl
Off-Policy Risk Assessment in Contextual Bandits.
CoRR
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
2021 A* conf
On Proximal Policy Optimization's Heavy-tailed Gradients.
ICML
Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Zachary C. Lipton, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Pradeep Ravikumar
2021 J jnl
On Proximal Policy Optimization's Heavy-tailed Gradients.
CoRR
Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Sivaraman Balakrishnan, Zachary C. Lipton, Ruslan Salakhutdinov, Pradeep Ravikumar
2021 J jnl
On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk.
CoRR
Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli
2021 — conf
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study.
ACL/IJCNLP (1)
Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih
2021 J jnl
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study.
CoRR
Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih
2021 C conf
On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent Crimes.
AIES
Riccardo Fogliato, Alice Xiang, Zachary C. Lipton, Daniel Nagin, Alexandra Chouldechova
2021 A* conf
Parametric Complexity Bounds for Approximating PDEs with Neural Networks.
NeurIPS
Tanya Marwah, Zachary C. Lipton, Andrej Risteski
2021 J jnl
Parametric Complexity Bounds for Approximating PDEs with Neural Networks.
CoRR
Tanya Marwah, Zachary C. Lipton, Andrej Risteski
2021 J jnl
Practical Benefits of Feature Feedback Under Distribution Shift.
CoRR
Anurag Katakkar, Weiqin Wang, Clay H. Yoo, Zachary C. Lipton, Divyansh Kaushik
2021 A* conf
RATT: Leveraging Unlabeled Data to Guarantee Generalization.
ICML
Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton
2021 J jnl
RATT: Leveraging Unlabeled Data to Guarantee Generalization.
CoRR
Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton
2021 A* conf
Rebounding Bandits for Modeling Satiation Effects.
NeurIPS
Liu Leqi, Fatma Kilinç-Karzan, Zachary C. Lipton, Alan L. Montgomery
2021 — conf
Siamese Bert for Authorship Verification.
CLEF (Working Notes)
Jacob Tyo, Bhuwan Dhingra, Zachary C. Lipton
2021 A* conf
Symbolic Music Generation with Transformer-GANs.
AAAI
Aashiq Muhamed, Liang Li, Xingjian Shi, Suri Yaddanapudi, Wayne Chi, Dylan Jackson, Rahul Suresh, Zachary C. Lipton, Alexander J. Smola
2021 J jnl
The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies.
CoRR
Riccardo Fogliato, Alexandra Chouldechova, Zachary C. Lipton
2021 J jnl
The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies.
Proc. ACM Hum. Comput. Interact.
Riccardo Fogliato, Alexandra Chouldechova, Zachary C. Lipton
2021 Misc conf
Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data.
AMIA
Cheng Cheng, Helen Zhou, Jeremy C. Weiss, Zachary C. Lipton
2021 — conf
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data.
EMNLP (1)
David Lowell, Brian E. Howard, Zachary C. Lipton, Byron C. Wallace
2021 J jnl
When Curation Becomes Creation: Algorithms, Microcontent, and the Vanishing Distinction between Platforms and Creators.
CoRR
Liu Leqi, Dylan Hadfield-Menell, Zachary C. Lipton
2021 J jnl
When Curation Becomes Creation: Algorithms, microcontent, and the vanishing distinction between platforms and creators.
ACM Queue
Liu Leqi, Dylan Hadfield-Menell, Zachary C. Lipton
2021 J jnl
When curation becomes creation.
Commun. ACM
Liu Leqi, Dylan Hadfield-Menell, Zachary C. Lipton
2020 A* conf
A Unified View of Label Shift Estimation.
NeurIPS
Saurabh Garg, Yifan Wu, Sivaraman Balakrishnan, Zachary C. Lipton
2020 J jnl
A Unified View of Label Shift Estimation.
CoRR
Saurabh Garg, Yifan Wu, Sivaraman Balakrishnan, Zachary C. Lipton
2020 C conf
Algorithmic Fairness from a Non-ideal Perspective.
AIES
Sina Fazelpour, Zachary C. Lipton
2020 J jnl
Algorithmic Fairness from a Non-ideal Perspective.
CoRR
Sina Fazelpour, Zachary C. Lipton
2020 J jnl
Causal Inference With Selectively-Deconfounded Data.
CoRR
Kyra Gan, Andrew A. Li, Zachary C. Lipton, Sridhar R. Tayur
2020 J jnl
Decoding and Diversity in Machine Translation.
CoRR
Nicholas Roberts, Davis Liang, Graham Neubig, Zachary C. Lipton
2020 — conf
Efficient Candidate Screening Under Multiple Tests and Implications for Fairness.
FORC
Lee Cohen, Zachary C. Lipton, Yishay Mansour
2020 J jnl
Estimating Treatment Effects with Observed Confounders and Mediators.
CoRR
Shantanu Gupta, Zachary C. Lipton, David Childers
2020 J jnl
Evaluating Explanations: How much do explanations from the teacher aid students?
CoRR
Danish Pruthi, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen
2020 J jnl
Explaining The Efficacy of Counterfactually-Augmented Data.
CoRR
Divyansh Kaushik, Amrith Setlur, Eduard H. Hovy, Zachary C. Lipton
2020 J jnl
Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances.
CoRR
Kundan Krishna, Amy Pavel, Benjamin Schloss, Jeffrey P. Bigham, Zachary C. Lipton
2020 J jnl
Fair Machine Learning Under Partial Compliance.
CoRR
Jessica Dai, Sina Fazelpour, Zachary C. Lipton
2020 J jnl
Generating SOAP Notes from Doctor-Patient Conversations.
CoRR
Kundan Krishna, Sopan Khosla, Jeffrey P. Bigham, Zachary C. Lipton
2020 J jnl
How Transferable are the Representations Learned by Deep Q Agents?
CoRR
Jacob Tyo, Zachary C. Lipton
2020 A* conf
Learning to Deceive with Attention-Based Explanations.
ACL
Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton
2020 — conf
Machine Learning for Healthcare: Beyond i.i.d. Prediction.
HSDM@WSDM
Zachary C. Lipton
2020 B conf
Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning.
AIME
Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss
2020 — conf
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment.
EMNLP (1)
Zirui Wang, Zachary C. Lipton, Yulia Tsvetkov
2020 J jnl
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment.
CoRR
Zirui Wang, Zachary C. Lipton, Yulia Tsvetkov
2020 J jnl
Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning.
CoRR
Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss
2020 J jnl
Rebounding Bandits for Modeling Satiation Effects.
CoRR
Liu Leqi, Fatma Kilinç-Karzan, Zachary C. Lipton, Alan L. Montgomery
2020 — conf
SIGMOD 2020 Tutorial on Fairness and Bias in Peer Review and Other Sociotechnical Intelligent Systems.
SIGMOD Conference
Nihar B. Shah, Zachary C. Lipton
2020 J jnl
Tensor Regression Networks.
J. Mach. Learn. Res.
Jean Kossaifi, Zachary C. Lipton, Arinbjörn Kolbeinsson, Aran Khanna, Tommaso Furlanello, Anima Anandkumar
2020 A* conf
Uncertainty-Aware Lookahead Factor Models for Quantitative Investing.
ICML
Lakshay Chauhan, John Alberg, Zachary C. Lipton
2020 J jnl
Uncertainty-Aware Lookahead Factor Models for Quantitative Investing.
CoRR
Lakshay Chauhan, John Alberg, Zachary C. Lipton
2020 J jnl
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data.
CoRR
David Lowell, Brian E. Howard, Zachary C. Lipton, Byron C. Wallace
2020 — conf
Weakly- and Semi-supervised Evidence Extraction.
EMNLP (Findings)
Danish Pruthi, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton
2020 J jnl
Weakly- and Semi-supervised Evidence Extraction.
CoRR
Danish Pruthi, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton
2019 J jnl
Accelerating Deep Learning by Focusing on the Biggest Losers.
CoRR
Angela H. Jiang, Daniel L.-K. Wong, Giulio Zhou, David G. Andersen, Jeffrey Dean, Gregory R. Ganger, Gauri Joshi, Michael Kaminsky, Michael Kozuch, Zachary C. Lipton, Padmanabhan Pillai
2019 — conf
Active Learning with Partial Feedback.
ICLR (Poster)
Peiyun Hu, Zachary C. Lipton, Anima Anandkumar, Deva Ramanan
2019 A* conf
AmazonQA: A Review-Based Question Answering Task.
IJCAI
Mansi Gupta, Nitish Kulkarni, Raghuveer Chanda, Anirudha Rayasam, Zachary C. Lipton
2019 J jnl
AmazonQA: A Review-Based Question Answering Task.
CoRR
Mansi Gupta, Nitish Kulkarni, Raghuveer Chanda, Anirudha Rayasam, Zachary C. Lipton
2019 J jnl
Are Perceptually-Aligned Gradients a General Property of Robust Classifiers?
CoRR
Simran Kaur, Jeremy Cohen, Zachary C. Lipton
2019 — conf
Combating Adversarial Misspellings with Robust Word Recognition.
ACL (1)
Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton
2019 J jnl
Combating Adversarial Misspellings with Robust Word Recognition.
CoRR
Danish Pruthi, Bhuwan Dhingra, Zachary C. Lipton
2019 A* conf
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment.
ICML
Yifan Wu, Ezra Winston, Divyansh Kaushik, Zachary C. Lipton
2019 J jnl
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment.
CoRR
Yifan Wu, Ezra Winston, Divyansh Kaushik, Zachary C. Lipton
2019 J jnl
Efficient candidate screening under multiple tests and implications for fairness.
CoRR
Lee Cohen, Zachary C. Lipton, Yishay Mansour
2019 — conf
Embryo Staging with Weakly-Supervised Region Selection and Dynamically-Decoded Predictions.
MLHC
Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian J. McAuley, Zachary C. Lipton
2019 J jnl
Embryo staging with weakly-supervised region selection and dynamically-decoded predictions.
CoRR
Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian J. McAuley, Zachary C. Lipton
2019 — conf
Entity Projection via Machine Translation for Cross-Lingual NER.
EMNLP/IJCNLP (1)
Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton
2019 J jnl
Entity Projection via Machine Translation for Cross-Lingual NER.
CoRR
Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton
2019 J jnl
Estimating brain age based on a healthy population with deep learning and structural MRI.
CoRR
Xinyang Feng, Zachary C. Lipton, Jie Yang, Scott A. Small, Frank A. Provenzano
2019 A* conf
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift.
NeurIPS
Stephan Rabanser, Stephan Günnemann, Zachary C. Lipton
2019 J jnl
Game Design for Eliciting Distinguishable Behavior.
CoRR
Fan Yang, Liu Leqi, Yifan Wu, Zachary C. Lipton, Pradeep Ravikumar, William W. Cohen, Tom M. Mitchell
2019 J jnl
Learning Causal State Representations of Partially Observable Environments.
CoRR
Amy Zhang, Zachary C. Lipton, Luis Pineda, Kamyar Azizzadenesheli, Anima Anandkumar, Laurent Itti, Joelle Pineau, Tommaso Furlanello
2019 A* conf
Learning Robust Global Representations by Penalizing Local Predictive Power.
NeurIPS
Haohan Wang, Songwei Ge, Zachary C. Lipton, Eric P. Xing
2019 J jnl
Learning Robust Global Representations by Penalizing Local Predictive Power.
CoRR
Haohan Wang, Songwei Ge, Eric P. Xing, Zachary C. Lipton
2019 — conf
Learning Robust Representations by Projecting Superficial Statistics Out.
ICLR
Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing
2019 J jnl
Learning Robust Representations by Projecting Superficial Statistics Out.
CoRR
Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing
2019 J jnl
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data.
CoRR
Divyansh Kaushik, Eduard H. Hovy, Zachary C. Lipton
2019 J jnl
Learning to Deceive with Attention-Based Explanations.
CoRR
Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton
2019 — conf
Practical Obstacles to Deploying Active Learning.
EMNLP/IJCNLP (1)
David Lowell, Zachary C. Lipton, Byron C. Wallace
2019 J jnl
Research for practice: troubling trends in machine-learning scholarship.
Commun. ACM
Zachary C. Lipton, Jacob Steinhardt
2019 J jnl
Troubling Trends in Machine Learning Scholarship.
ACM Queue
Zachary C. Lipton, Jacob Steinhardt
2018 J jnl
Active Learning with Partial Feedback.
CoRR
Peiyun Hu, Zachary C. Lipton, Anima Anandkumar, Deva Ramanan
2018 A* conf
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems.
AAAI
Zachary C. Lipton, Xiujun Li, Jianfeng Gao, Lihong Li, Faisal Ahmed, Li Deng
2018 J jnl
Born Again Neural Networks.
CoRR
Tommaso Furlanello, Zachary C. Lipton, Michael Tschannen, Laurent Itti, Anima Anandkumar
2018 J jnl
Correction by Projection: Denoising Images with Generative Adversarial Networks.
CoRR
Subarna Tripathi, Zachary C. Lipton, Truong Q. Nguyen
2018 — conf
Deep Active Learning for Named Entity Recognition.
ICLR (Poster)
Yanyao Shen, Hyokun Yun, Zachary C. Lipton, Yakov Kronrod, Animashree Anandkumar
2018 A* conf
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study.
EMNLP
Aditya Siddhant, Zachary C. Lipton
2018 J jnl
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study.
CoRR
Aditya Siddhant, Zachary C. Lipton
2018 A* conf
Detecting and Correcting for Label Shift with Black Box Predictors.
ICML
Zachary C. Lipton, Yu-Xiang Wang, Alexander J. Smola
2018 J jnl
Detecting and Correcting for Label Shift with Black Box Predictors.
CoRR
Zachary C. Lipton, Yu-Xiang Wang, Alexander J. Smola
2018 A* conf
Does mitigating ML's impact disparity require treatment disparity?
NeurIPS
Zachary C. Lipton, Julian J. McAuley, Alexandra Chouldechova
2018 J jnl
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift.
CoRR
Stephan Rabanser, Stephan Günnemann, Zachary C. Lipton
2018 A* conf
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks.
EMNLP
Divyansh Kaushik, Zachary C. Lipton
2018 J jnl
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks.
CoRR
Divyansh Kaushik, Zachary C. Lipton
2018 J jnl
How transferable are the datasets collected by active learners?
CoRR
David Lowell, Zachary C. Lipton, Byron C. Wallace
2018 — conf
Learning From Noisy Singly-labeled Data.
ICLR (Poster)
Ashish Khetan, Zachary C. Lipton, Animashree Anandkumar
2018 — conf
Learning Noise-Invariant Representations for Robust Speech Recognition.
SLT
Davis Liang, Zhiheng Huang, Zachary C. Lipton
2018 J jnl
Learning Noise-Invariant Representations for Robust Speech Recognition.
CoRR
Davis Liang, Zhiheng Huang, Zachary C. Lipton
2018 — conf
Predicting Embryo Morphokinetics in Videos with Late Fusion Nets & Dynamic Decoders.
ICLR (Workshop)
Nathan H. Ng, Julian J. McAuley, Julian Gingold, Nina Desai, Zachary C. Lipton
2018 J jnl
Sample-Efficient Deep RL with Generative Adversarial Tree Search.
CoRR
Kamyar Azizzadenesheli, Brandon Yang, Weitang Liu, Emma Brunskill, Zachary C. Lipton, Animashree Anandkumar
2018 — conf
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks.
ICLR (Poster)
Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian J. McAuley
2018 — conf
Stochastic Activation Pruning for Robust Adversarial Defense.
ICLR (Poster)
Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton, Jeremy Bernstein, Jean Kossaifi, Aran Khanna, Animashree Anandkumar
2018 J jnl
Stochastic Activation Pruning for Robust Adversarial Defense.
CoRR
Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton, Jeremy Bernstein, Jean Kossaifi, Aran Khanna, Anima Anandkumar
2018 J jnl
The Mythos of Model Interpretability.
ACM Queue
Zachary C. Lipton
2018 J jnl
The mythos of model interpretability.
Commun. ACM
Zachary C. Lipton
2018 J jnl
Troubling Trends in Machine Learning Scholarship.
CoRR
Zachary C. Lipton, Jacob Steinhardt
2018 J jnl
Weighted Risk Minimization & Deep Learning.
CoRR
Jonathon Byrd, Zachary C. Lipton
2017 — conf
Dance Dance Convolution.
ICLR (Workshop)
Chris Donahue, Zachary C. Lipton, Julian J. McAuley
2017 A* conf
Dance Dance Convolution.
ICML
Chris Donahue, Zachary C. Lipton, Julian J. McAuley
2017 J jnl
Dance Dance Convolution.
CoRR
Chris Donahue, Zachary C. Lipton, Julian J. McAuley
2017 J jnl
Deep Active Learning for Named Entity Recognition.
CoRR
Yanyao Shen, Hyokun Yun, Zachary C. Lipton, Yakov Kronrod, Animashree Anandkumar
2017 J jnl
Does mitigating ML's disparate impact require disparate treatment?
CoRR
Zachary C. Lipton, Alexandra Chouldechova, Julian J. McAuley
2017 — conf
Estimating Reactions and Recommending Products with Generative Models of Reviews.
IJCNLP(1)
Jianmo Ni, Zachary C. Lipton, Sharad Vikram, Julian J. McAuley
2017 J jnl
Improving Factor-Based Quantitative Investing by Forecasting Company Fundamentals.
CoRR
John Alberg, Zachary C. Lipton
2017 J jnl
Learning From Noisy Singly-labeled Data.
CoRR
Ashish Khetan, Zachary C. Lipton, Anima Anandkumar
2017 — conf
Precise Recovery of Latent Vectors from Generative Adversarial Networks.
ICLR (Workshop)
Zachary C. Lipton, Subarna Tripathi
2017 J jnl
Precise Recovery of Latent Vectors from Generative Adversarial Networks.
CoRR
Zachary C. Lipton, Subarna Tripathi
2017 — conf
Predicting Surgery Duration with Neural Heteroscedastic Regression.
MLHC
Nathan H. Ng, Rodney A. Gabriel, Julian J. McAuley, Charles Elkan, Zachary C. Lipton
2017 J jnl
Predicting Surgery Duration with Neural Heteroscedastic Regression.
CoRR
Nathan Ng, Rodney A. Gabriel, Julian J. McAuley, Charles Elkan, Zachary C. Lipton
2017 J jnl
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks.
CoRR
Chris Donahue, Akshay Balsubramani, Julian J. McAuley, Zachary C. Lipton
2017 — conf
Tensor Contraction Layers for Parsimonious Deep Nets.
CVPR Workshops
Jean Kossaifi, Aran Khanna, Zachary C. Lipton, Tommaso Furlanello, Anima Anandkumar
2017 J jnl
Tensor Contraction Layers for Parsimonious Deep Nets.
CoRR
Jean Kossaifi, Aran Khanna, Zachary C. Lipton, Tommaso Furlanello, Anima Anandkumar
2017 J jnl
Tensor Regression Networks.
CoRR
Jean Kossaifi, Zachary C. Lipton, Aran Khanna, Tommaso Furlanello, Anima Anandkumar
2016 J jnl
A User Simulator for Task-Completion Dialogues.
CoRR
Xiujun Li, Zachary C. Lipton, Bhuwan Dhingra, Lihong Li, Jianfeng Gao, Yun-Nung Chen
2016 J jnl
Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear.
CoRR
Zachary C. Lipton, Jianfeng Gao, Lihong Li, Jianshu Chen, Li Deng
2016 A conf
Context Matters: Refining Object Detection in Video with Recurrent Neural Networks.
BMVC
Subarna Tripathi, Zachary C. Lipton, Serge J. Belongie, Truong Q. Nguyen
2016 J jnl
Context Matters: Refining Object Detection in Video with Recurrent Neural Networks.
CoRR
Subarna Tripathi, Zachary C. Lipton, Serge J. Belongie, Truong Q. Nguyen
2016 — conf
Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series.
MLHC
Zachary C. Lipton, David C. Kale, Randall C. Wetzel
2016 J jnl
Efficient Exploration for Dialog Policy Learning with Deep BBQ Networks \& Replay Buffer Spiking.
CoRR
Zachary C. Lipton, Jianfeng Gao, Lihong Li, Xiujun Li, Faisal Ahmed, Li Deng