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Lipton, Zachary C.

  1. The Mythos of Model Interpretability
    2016/06/10 by Zachary C. Lipton, Lipton, Zachary C. · 1 voice · 177 citations
    Computer Science · #cs.LG #cs.AI #cs.CV #cs.NE #stat.ML
  2. Troubling Trends in Machine Learning Scholarship
    2018/07/09 by Zachary C. Lipton, Jacob Steinhardt, Lipton, Zachary C. +1 · 3 voices · 18 citations
    #stat.ML #cs.AI #cs.LG
  3. TOFU: A Task of Fictitious Unlearning for LLMs
    2024/01/11 by Pratyush Maini, Zhili Feng, Maini, Pratyush +7 · 80 citations
    Computer Science · Health Professions · #Topic Modeling #Privacy-Preserving Technologies in Data #Interpreting and Communication in Healthcare
  4. Understanding Hallucinations in Diffusion Models through Mode Interpolation
    2024/06/13 by Sumukh K Aithal, Pratyush Maini, Aithal, Sumukh K +5 · 1 voice · 28 citations
    Computer Science · Economics, Econometrics and Finance · Psychology · #Complex Systems and Time Series Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mental Health Research Topics #cs.LG
  5. Accelerating Deep Learning by Focusing on the Biggest Losers
    2019/10/02 by Angela H. Jiang, Jiang, Angela H., Daniel Wong +22 · 1 voice · 10 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning
  6. A Critical Review of Recurrent Neural Networks for Sequence Learning
    2015/05/29 by Zachary C. Lipton, John Berkowitz, Lipton, Zachary C. +3 · 31 citations
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE)
  7. Born Again Neural Networks
    2018/05/12 by Furlanello, Tommaso, Lipton, Zachary C., Tschannen, Michael +2 · 25 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
    2019/09/26 by Divyansh Kaushik, Eduard Hovy, Kaushik, Divyansh +3 · 29 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Topic Modeling
  9. Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
    2018/10/29 by Rabanser, Stephan, Günnemann, Stephan, Lipton, Zachary C. · 25 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Detecting and Correcting for Label Shift with Black Box Predictors
    2018/02/12 by Lipton, Zachary C., Wang, Yu-Xiang, Smola, Alex · 23 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  11. Learning to Diagnose with LSTM Recurrent Neural Networks
    2015/11/11 by Zachary C. Lipton, Lipton, Zachary C., David C. Kale +5 · 28 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Time Series Analysis and Forecasting #Topic Modeling
  12. Personalized Language Modeling from Personalized Human Feedback
    2024/02/06 by Xinyu Li, Li, Xinyu, Ruiyang Zhou +5 · 1 voice · 31 citations
    Computer Science · #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling #cs.AI #cs.CL #cs.LG
  13. Modeling Missing Data in Clinical Time Series with RNNs
    2016/06/13 by Zachary C. Lipton, Lipton, Zachary C., David C. Kale +3 · 20 citations
    Computer Science · Health Professions · #Machine Learning in Healthcare #Time Series Analysis and Forecasting #Artificial Intelligence in Healthcare
  14. Combating Adversarial Misspellings with Robust Word Recognition
    2019/05/27 by Danish Pruthi, Pruthi, Danish, Bhuwan Dhingra +3 · 17 citations
    Computer Science · #Topic Modeling #Adversarial Robustness in Machine Learning #Hate Speech and Cyberbullying Detection
  15. A User Simulator for Task-Completion Dialogues
    2016/12/17 by Xiujun Li, Li, Xiujun, Zachary C. Lipton +9 · 16 citations
    Computer Science · #AI in Service Interactions #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Speech and dialogue systems #Topic Modeling
  16. Dive into Deep Learning
    2021/06/21 by Aston Zhang, Zhang, Aston, Zachary C. Lipton +5 · 16 citations
    Computer Science · #Machine Learning and Data Classification #Topic Modeling #Data Stream Mining Techniques
  17. Stochastic Activation Pruning for Robust Adversarial Defense
    2018/03/05 by Dhillon, Guneet S., Azizzadenesheli, Kamyar, Lipton, Zachary C. +4 · 9 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. Red-Teaming for Generative AI: Silver Bullet or Security Theater?
    2024/01/29 by Michael Feffer, Anusha Sinha, Feffer, Michael +6 · 19 citations
    Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG)
  19. Tensor Regression Networks
    2017/07/26 by Jean Kossaifi, Zachary C. Lipton, Kossaifi, Jean +8 · 9 citations
    Computer Science · Mathematics · Medicine · #Advanced Neural Network Applications #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Tensor decomposition and applications
  20. Rethinking LLM Memorization through the Lens of Adversarial Compression
    2024/04/23 by Avi Schwarzschild, Zhili Feng, Schwarzschild, Avi +7 · 19 citations
    Computer Science · #Natural Language Processing Techniques
  21. Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
    2022/01/11 by Garg, Saurabh, Balakrishnan, Sivaraman, Lipton, Zachary C. +2 · 11 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  22. Differential Privacy and Machine Learning: a Survey and Review
    2014/12/24 by Zhanglong Ji, Zachary C. Lipton, Ji, Zhanglong +3 · 7 citations
    Computer Science · Social Sciences · #Cryptography and Security (cs.CR) #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data
  23. What is the Effect of Importance Weighting in Deep Learning?
    2018/12/08 by Jonathon Byrd, Byrd, Jonathon, Zachary C. Lipton +1 · 9 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  24. On Proximal Policy Optimization's Heavy-tailed Gradients
    2021/02/20 by Saurabh Garg, Joshua Zhanson, Garg, Saurabh +15 · 8 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO) #Stochastic Gradient Optimization Techniques
  25. Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic
    2024/04/10 by Sachin Goyal, Goyal, Sachin, Pratyush Maini +7 · 14 citations
    Decision Sciences · #Big Data Technologies and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
  26. CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
    2023/02/06 by Zachary Novack, Julian McAuley, Novack, Zachary +5 · 10 citations
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  27. On the Maximum Hessian Eigenvalue and Generalization
    2022/06/21 by Kaur, Simran, Cohen, Jeremy, Lipton, Zachary C. · 8 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  28. Domain Adaptation under Open Set Label Shift
    2022/07/26 by Saurabh Garg, Garg, Saurabh, Sivaraman Balakrishnan +3 · 8 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Domain Adaptation and Few-Shot Learning #Cancer-related molecular mechanisms research
  29. Deep Active Learning for Named Entity Recognition
    2017/07/19 by Yanyao Shen, Shen, Yanyao, Hyokun Yun +7 · 7 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Machine Learning and Algorithms
  30. Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
    2024/11/06 by Daniel P. Jeong, Saurabh Garg, Jeong, Daniel P. +5 · 4 voices · 5 citations
    Computer Science · #Multimodal Machine Learning Applications #cs.AI #cs.CL #cs.LG
  31. Mixture Proportion Estimation and PU Learning: A Modern Approach
    2021/11/01 by Saurabh Garg, Garg, Saurabh, Yifan Wu +7 · 6 citations
    Computer Science · #Machine Learning and Data Classification #Machine Learning and Algorithms #Imbalanced Data Classification Techniques
  32. Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques
    2020/05/04 by Krishna, Kundan, Khosla, Sopan, Bigham, Jeffrey P. +1 · 5 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  33. Precise Recovery of Latent Vectors from Generative Adversarial Networks
    2017/02/15 by Zachary C. Lipton, Lipton, Zachary C., Subarna Tripathi +1 · 6 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Image Processing Techniques #Digital Media Forensic Detection
  34. Practical Obstacles to Deploying Active Learning
    2018/07/12 by Lowell, David, Lipton, Zachary C., Wallace, Byron C. · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  35. Generative Concatenative Nets Jointly Learn to Write and Classify Reviews
    2015/11/11 by Zachary C. Lipton, Lipton, Zachary C., Sharad Vikram +3 · 5 citations
    Computer Science · #Topic Modeling #Sentiment Analysis and Opinion Mining #Multimodal Machine Learning Applications
  36. Can Neural Network Memorization Be Localized?
    2023/07/18 by Pratyush Maini, Maini, Pratyush, Michael C. Mozer +9 · 6 citations
    Computer Science · Physics and Astronomy · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  37. Learning From Noisy Singly-labeled Data
    2017/12/13 by Khetan, Ashish, Lipton, Zachary C., Anandkumar, Anima · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  38. Learning Causal State Representations of Partially Observable Environments
    2019/06/25 by Zhang, Amy, Lipton, Zachary C., Pineda, Luis +5 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  39. Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective
    2022/10/21 by Tanya Marwah, Marwah, Tanya, Zachary C. Lipton +5 · 4 citations
    Engineering · Physics and Astronomy · #Advanced Numerical Analysis Techniques #Advanced Numerical Methods in Computational Mathematics #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
  40. A Unified View of Label Shift Estimation
    2020/03/17 by Garg, Saurabh, Wu, Yifan, Balakrishnan, Sivaraman +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  41. OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics
    2025/06/14 by Vineeth Dorna, Dorna, Vineeth, Anmol Mekala +11 · 15 citations
    Computer Science · #Mathematics, Computing, and Information Processing #Natural Language Processing Techniques
  42. On the Convergence and Optimality of Policy Gradient for Markov Coherent Risk
    2021/03/04 by Huang, Audrey, Leqi, Liu, Lipton, Zachary C. +1 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  43. Deep Equilibrium Based Neural Operators for Steady-State PDEs
    2023/11/30 by Tanya Marwah, Marwah, Tanya, Ashwini Pokle +9 · 5 citations
    Engineering · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Fluid Dynamics and Turbulent Flows #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
  44. Evaluating Explanations: How much do explanations from the teacher aid students?
    2020/12/01 by Danish Pruthi, Pruthi, Danish, Rachit Bansal +13 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Online Learning and Analytics #Topic Modeling
  45. RLSbench: Domain Adaptation Under Relaxed Label Shift
    2023/02/06 by Garg, Saurabh, Erickson, Nick, Sharpnack, James +3 · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  46. PromptNER: Prompting For Named Entity Recognition
    2023/05/24 by Ashok, Dhananjay, Lipton, Zachary C. · 4 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  47. On the State of the Art in Authorship Attribution and Authorship Verification
    2022/09/14 by Tyo, Jacob, Dhingra, Bhuwan, Lipton, Zachary C. · 3 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  48. How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
    2018/08/14 by Kaushik, Divyansh, Lipton, Zachary C. · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  49. Deep Bayesian Active Learning for Natural Language Processing: Results\n of a Large-Scale Empirical Study
    2018/08/16 by Aditya Siddhant, Siddhant, Aditya, Zachary C. Lipton +1 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Natural Language Processing Techniques #Topic Modeling
  50. Learning Robust Representations by Projecting Superficial Statistics Out
    2019/03/02 by Wang, Haohan, He, Zexue, Lipton, Zachary C. +1 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  51. BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems
    2016/08/17 by Zachary C. Lipton, Lipton, Zachary C., Xiujun Li +9 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics #Speech and dialogue systems #Topic Modeling
  52. Valid Inference with Imperfect Synthetic Data
    2025/08/08 by Yewon Byun, Shantanu Gupta, Byun, Yewon +8 · 6 voices · 2 citations
    Mathematics · #Statistical Methods and Inference #cs.AI #cs.LG #stat.ML
  53. Are Perceptually-Aligned Gradients a General Property of Robust Classifiers?
    2019/10/18 by Kaur, Simran, Cohen, Jeremy, Lipton, Zachary C. · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  54. GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence
    2024/02/19 by Kundan Krishna, Sanjana Ramprasad, Krishna, Kundan +9 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  55. Uncertainty-Aware Lookahead Factor Models for Quantitative Investing
    2020/07/07 by Chauhan, Lakshay, Alberg, John, Lipton, Zachary C. · 2 citations
    #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Statistical Finance (q-fin.ST)
  56. Explaining The Efficacy of Counterfactually Augmented Data
    2020/10/05 by Divyansh Kaushik, Kaushik, Divyansh, Amrith Setlur +5 · 2 citations
    Computer Science · #Topic Modeling #Domain Adaptation and Few-Shot Learning #Natural Language Processing Techniques
  57. Rebounding Bandits for Modeling Satiation Effects
    2020/11/13 by Leqi, Liu, Kilinc-Karzan, Fatma, Lipton, Zachary C. +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  58. Tensor Contraction Layers for Parsimonious Deep Nets
    2017/06/01 by Jean Kossaifi, Kossaifi, Jean, Aran Khanna +7 · 3 citations
    Computer Science · Mathematics · Medicine · #Advanced Neural Network Applications #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Tensor decomposition and applications
  59. Off-Policy Risk Assessment in Contextual Bandits
    2021/04/18 by Audrey Huang, Liu Leqi, Huang, Audrey +5 · 2 citations
    Decision Sciences · #Advanced Bandit Algorithms Research #Decision-Making and Behavioral Economics #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Risk and Portfolio Optimization
  60. Correcting Exposure Bias for Link Recommendation
    2021/06/13 by Gupta, Shantanu, Wang, Hao, Lipton, Zachary C. +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  61. Local Causal Discovery for Estimating Causal Effects
    2023/02/16 by Shantanu Gupta, David Childers, Gupta, Shantanu +3 · 1 voice · 2 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME) #cs.LG #stat.ME
  62. LLM-Select: Feature Selection with Large Language Models
    2024/07/02 by Jeong, Daniel P., Lipton, Zachary C., Ravikumar, Pradeep · 4 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  63. Supervised Learning with General Risk Functionals
    2022/06/27 by Liu Leqi, Leqi, Liu, Audrey Huang +5 · 2 citations
    Computer Science · Mathematics · Medicine · #Domain Adaptation and Few-Shot Learning #Statistical Methods and Inference #Colorectal Cancer Screening and Detection
  64. Domain Adaptation under Missingness Shift
    2022/11/03 by Helen Zhou, Sivaraman Balakrishnan, Zhou, Helen +3 · 2 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Domain Adaptation and Few-Shot Learning #Cancer-related molecular mechanisms research
  65. Downstream Datasets Make Surprisingly Good Pretraining Corpora
    2022/09/28 by K. Siva Krishna, Saurabh Garg, Krishna, Kundan +5 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  66. The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning
    2024/10/12 by Jake Fawkes, Fawkes, Jake, Nic Fishman +6 · 2 voices · 2 citations
    Social Sciences · #Ethics and Social Impacts of AI #cs.CY #cs.LG
  67. Characterizing Datapoints via Second-Split Forgetting
    2022/10/26 by Pratyush Maini, Maini, Pratyush, Saurabh Garg +5 · 2 citations
    Computer Science · #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI)
  68. Context Matters: Refining Object Detection in Video with Recurrent Neural Networks
    2016/07/15 by Tripathi, Subarna, Lipton, Zachary C., Belongie, Serge +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  69. Improving Factor-Based Quantitative Investing by Forecasting Company Fundamentals
    2017/11/13 by Alberg, John, Lipton, Zachary C. · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  70. Does mitigating ML's impact disparity require treatment disparity?
    2017/11/19 by Zachary C. Lipton, Alexandra Chouldechova, Lipton, Zachary C. +3 · 2 citations
    Mathematics · Social Sciences · #Advanced Causal Inference Techniques #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  71. Decoding and Diversity in Machine Translation
    2020/11/26 by Nicholas Roberts, Roberts, Nicholas, Davis Liang +5 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  72. Learning to Deceive with Attention-Based Explanations
    2019/09/17 by Pruthi, Danish, Gupta, Mansi, Dhingra, Bhuwan +2 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  73. Parametric Complexity Bounds for Approximating PDEs with Neural Networks
    2021/03/03 by Marwah, Tanya, Lipton, Zachary C., Risteski, Andrej · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA)
  74. Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends
    2024/06/05 by Sanjana Ramprasad, Elisa Ferracane, Ramprasad, Sanjana +3 · 2 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
  75. Resolving the Human Subjects Status of Machine Learning's Crowdworkers
    2022/06/08 by Divyansh Kaushik, Kaushik, Divyansh, Zachary C. Lipton +3 · 1 citation
    Medicine · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #Ethics in Clinical Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  76. Does Pretraining for Summarization Require Knowledge Transfer?
    2021/09/10 by Krishna, Kundan, Bigham, Jeffrey, Lipton, Zachary C. · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  77. Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation
    2022/02/02 by Zhang, Yi-Fan, Zhang, Hanlin, Lipton, Zachary C. +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  78. Failure Modes of LLMs for Causal Reasoning on Narratives
    2024/10/31 by Khurram Yamin, Shantanu Gupta, Yamin, Khurram +7 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques #Topic Modeling
  79. Model Evaluation in Medical Datasets Over Time
    2022/11/14 by Zhou, Helen, Chen, Yuwen, Lipton, Zachary C. · 1 citation
    #Applications (stat.AP) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  80. Moral Machine or Tyranny of the Majority?
    2023/05/27 by Michael Feffer, Hoda Heidari, Feffer, Michael +3 · 1 citation
    Social Sciences · #Experimental Behavioral Economics Studies
  81. T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
    2023/07/06 by Maini, Pratyush, Goyal, Sachin, Lipton, Zachary C. +2 · 1 citation
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  82. Evaluating Model Performance in Medical Datasets Over Time
    2023/05/22 by Zhou, Helen, Chen, Yuwen, Lipton, Zachary C. · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  83. The Limited Impact of Medical Adaptation of Large Language and Vision-Language Models
    2024/11/13 by Jeong, Daniel P., Mani, Pranav, Garg, Saurabh +2 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  84. Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
    2017/05/22 by Chris Donahue, Zachary C. Lipton, Donahue, Chris +5 · 1 citation
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Face recognition and analysis #Digital Media Forensic Detection
  85. USB: A Unified Summarization Benchmark Across Tasks and Domains
    2023/05/23 by Krishna, Kundan, Gupta, Prakhar, Ramprasad, Sanjana +3 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  86. Dance Dance Convolution
    2017/03/20 by Chris Donahue, Donahue, Chris, Zachary C. Lipton +3 · 1 citation
    Computer Science · #Music and Audio Processing #Music Technology and Sound Studies #Video Analysis and Summarization
  87. Auditing Fairness under Unobserved Confounding
    2024/03/18 by Yewon Byun, Dylan Sam, Byun, Yewon +7 · 1 citation
    Social Sciences · #Experimental Behavioral Economics Studies
  88. Risk-limiting Financial Audits via Weighted Sampling without Replacement
    2023/05/08 by Shubhanshu Shekhar, Ziyu Xu, Shekhar, Shubhanshu +7 · 1 citation
    Computer Science · Decision Sciences · #Adversarial Robustness in Machine Learning #Applications (stat.AP) #Artificial Intelligence (cs.AI) #Auction Theory and Applications #FOS: Computer and information sciences #FOS: Mathematics #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
  89. No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference
    2025/05/26 by Pranav Mani, Mani, Pranav, Peng Xu +5 · 2 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Machine Learning in Healthcare