Zachary C. Lipton
- Troubling Trends in Machine Learning Scholarship
2018/07/09 by Zachary C. Lipton, Lipton, Zachary C., Jacob Steinhardt +1 · 3 voices · 18 citations
#stat.ML #cs.AI #cs.LG
- The Mythos of Model Interpretability
2016/06/10 by Zachary C. Lipton, Lipton, Zachary C. · 1 voice · 70 citations
#cs.LG #cs.AI #cs.CV #cs.NE #stat.ML
- The Mythos of Model Interpretability
2018/06/01 by Zachary C. Lipton · 138 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
- TOFU: A Task of Fictitious Unlearning for LLMs
2024/01/11 by Pratyush Maini, Zhili Feng, Maini, Pratyush +7 · 78 citations
Computer Science · Health Professions · #Topic Modeling #Privacy-Preserving Technologies in Data #Interpreting and Communication in Healthcare
- Understanding Hallucinations in Diffusion Models through Mode Interpolation
2024/06/13 by Sumukh K Aithal, Aithal, Sumukh K, Pratyush Maini +5 · 1 voice · 24 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
- Accelerating Deep Learning by Focusing on the Biggest Losers
2019/10/02 by Angela H. Jiang, Daniel Wong, Daniel L. -K. Wong +22 · 1 voice · 10 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
2019/09/26 by Divyansh Kaushik, Eduard Hovy, Kaushik, Divyansh +3 · 27 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
- A Critical Review of Recurrent Neural Networks for Sequence Learning
2015/05/29 by Zachary C. Lipton, John Berkowitz, Lipton, Zachary C. +3 · 23 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)
- Learning to Diagnose with LSTM Recurrent Neural Networks
2015/11/11 by Zachary C. Lipton, David C. Kale, Lipton, Zachary C. +5 · 20 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Time Series Analysis and Forecasting #Topic Modeling
- Personalized Language Modeling from Personalized Human Feedback
2024/02/06 by Xinyu Li, Li, Xinyu, Ruiyang Zhou +5 · 1 voice · 27 citations
Computer Science · #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling #cs.AI #cs.CL #cs.LG
- 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
- Combating Adversarial Misspellings with Robust Word Recognition
2019/05/27 by Danish Pruthi, Bhuwan Dhingra, Pruthi, Danish +3 · 16 citations
Computer Science · #Topic Modeling #Adversarial Robustness in Machine Learning #Hate Speech and Cyberbullying Detection
- Dive into Deep Learning
2021/06/21 by Aston Zhang, Zachary C. Lipton, Zhang, Aston +5 · 15 citations
Computer Science · #Machine Learning and Data Classification #Topic Modeling #Data Stream Mining Techniques
- A User Simulator for Task-Completion Dialogues
2016/12/17 by Xiujun Li, Zachary C. Lipton, Li, Xiujun +9 · 12 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
- Red-Teaming for Generative AI: Silver Bullet or Security Theater?
2024/01/29 by Michael Feffer, Anusha Sinha, Feffer, Michael +6 · 18 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)
- Tensor Regression Networks
2017/07/26 by Jean Kossaifi, Zachary C. Lipton, Kossaifi, Jean +8 · 8 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
- Rethinking LLM Memorization through the Lens of Adversarial Compression
2024/04/23 by Avi Schwarzschild, Schwarzschild, Avi, Zhili Feng +7 · 18 citations
Computer Science · #Natural Language Processing Techniques
- 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
- 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
- Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic
2024/04/10 by Sachin Goyal, Goyal, Sachin, Pratyush Maini +7 · 13 citations
Decision Sciences · #Big Data Technologies and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
- CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
2023/02/06 by Zachary Novack, Julian McAuley, Novack, Zachary +5 · 9 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
- 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
- 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
- Mixture Proportion Estimation and PU Learning: A Modern Approach
2021/11/01 by Saurabh Garg, Yifan Wu, Garg, Saurabh +7 · 6 citations
Computer Science · #Machine Learning and Data Classification #Machine Learning and Algorithms #Imbalanced Data Classification Techniques
- Precise Recovery of Latent Vectors from Generative Adversarial Networks
2017/02/15 by Zachary C. Lipton, Subarna Tripathi, Lipton, Zachary C. +1 · 6 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Image Processing Techniques #Digital Media Forensic Detection
- Deep Active Learning for Named Entity Recognition
2017/07/19 by Yanyao Shen, Hyokun Yun, Shen, Yanyao +7 · 6 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Machine Learning and Algorithms
- Can Neural Network Memorization Be Localized?
2023/07/18 by Pratyush Maini, Michael C. Mozer, Maini, Pratyush +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
- Generative Concatenative Nets Jointly Learn to Write and Classify Reviews
2015/11/11 by Zachary C. Lipton, Lipton, Zachary C., Sharad Vikram +3 · 4 citations
Computer Science · #Topic Modeling #Sentiment Analysis and Opinion Mining #Multimodal Machine Learning Applications
- Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective
2022/10/21 by Tanya Marwah, Zachary C. Lipton, Marwah, Tanya +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)
- OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics
2025/06/14 by Vineeth Dorna, Anmol Mekala, Dorna, Vineeth +11 · 15 citations
Computer Science · #Mathematics, Computing, and Information Processing #Natural Language Processing Techniques
- Deep Equilibrium Based Neural Operators for Steady-State PDEs
2023/11/30 by Tanya Marwah, Ashwini Pokle, Marwah, Tanya +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)
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Surprising Negative Results for Generative Adversarial Tree Search
2018/06/15 by Kamyar Azizzadenesheli, Brandon Yang, Azizzadenesheli, Kamyar +7 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- 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
- 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
- The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning
2024/10/12 by Jake Fawkes, Nic Fishman, Fawkes, Jake +6 · 2 voices · 2 citations
Social Sciences · #Ethics and Social Impacts of AI #cs.CY #cs.LG
- Tensor Contraction Layers for Parsimonious Deep Nets
2017/06/01 by Jean Kossaifi, Kossaifi, Jean, Aran Khanna +7 · 2 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
- Temporal-Clustering Invariance in Irregular Healthcare Time Series
2019/04/27 by Mohammad Taha Bahadori, Zachary C. Lipton, Bahadori, Mohammad Taha +1 · 3 citations
Computer Science · Health Professions · #Machine Learning in Healthcare #Time Series Analysis and Forecasting #Artificial Intelligence in Healthcare
- Decoding and Diversity in Machine Translation
2020/11/26 by Nicholas Roberts, Davis Liang, Roberts, Nicholas +5 · 1 citation
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
- Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends
2024/06/05 by Sanjana Ramprasad, Ramprasad, Sanjana, Elisa Ferracane +3 · 2 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
- 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)
- 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
- Characterizing Datapoints via Second-Split Forgetting
2022/10/26 by Pratyush Maini, Maini, Pratyush, Saurabh Garg +5 · 1 citation
Computer Science · #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI)
- Moral Machine or Tyranny of the Majority?
2023/05/27 by Michael Feffer, Feffer, Michael, Hoda Heidari +3 · 1 citation
Social Sciences · #Experimental Behavioral Economics Studies
- 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
- Dance Dance Convolution
2017/03/20 by Chris Donahue, Zachary C. Lipton, Donahue, Chris +3 · 1 citation
Computer Science · #Music and Audio Processing #Music Technology and Sound Studies #Video Analysis and Summarization
- Auditing Fairness under Unobserved Confounding
2024/03/18 by Yewon Byun, Byun, Yewon, Dylan Sam +7 · 1 citation
Social Sciences · #Experimental Behavioral Economics Studies
- 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)
- No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference
2025/05/26 by Pranav Mani, Peng Xu, Mani, Pranav +5 · 2 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Machine Learning in Healthcare