Lipton, Zachary C.

27 publications

NeurIPS 2024 Rethinking LLM Memorization Through the Lens of Adversarial Compression Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter

CVPR 2024 Scaling Laws for Data Filtering-- Data Curation Cannot Be Compute Agnostic Sachin Goyal, Pratyush Maini, Zachary C. Lipton, Aditi Raghunathan, J. Zico Kolter

NeurIPS 2024 The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning Jake Fawkes, Nic Fishman, Mel Andrews, Zachary C. Lipton

NeurIPS 2024 Understanding Hallucinations in Diffusion Models Through Mode Interpolation Sumukh K Aithal, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter

AAAI 2023 Moral Machine or Tyranny of the Majority? Michael Feffer, Hoda Heidari, Zachary C. Lipton

AAAI 2022 Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig

AAAI 2022 Modeling Attrition in Recommender Systems with Departing Bandits Omer Ben-Porat, Lee Cohen, Liu Leqi, Zachary C. Lipton, Yishay Mansour

UAI 2021 Estimating Treatment Effects with Observed Confounders and Mediators Shantanu Gupta, Zachary C. Lipton, David Childers

AAAI 2021 Symbolic Music Generation with Transformer-GANs Aashiq Muhamed, Liang Li, Xingjian Shi, Suri Yaddanapudi, Wayne Chi, Dylan Jackson, Rahul Suresh, Zachary C. Lipton, Alexander J. Smola

ICLR 2020 Learning the Difference That Makes a Difference with Counterfactually-Augmented Data Divyansh Kaushik, Eduard Hovy, Zachary C. Lipton

ICLR 2020 Smooth Kernels Improve Adversarial Robustness and Perceptually-Aligned Gradients Haohan Wang, Xindi Wu, Songwei Ge, Zachary C. Lipton, Eric P. Xing

JMLR 2020 Tensor Regression Networks Jean Kossaifi, Zachary C. Lipton, Arinbjorn Kolbeinsson, Aran Khanna, Tommaso Furlanello, Anima Anandkumar

ICLR 2019 Active Learning with Partial Feedback Peiyun Hu, Zachary C. Lipton, Anima Anandkumar, Deva Ramanan

IJCAI 2019 AmazonQA: A Review-Based Question Answering Task Mansi Gupta, Nitish Kulkarni, Raghuveer Chanda, Anirudha Rayasam, Zachary C. Lipton

MLHC 2019 Embryo Staging with Weakly-Supervised Region Selection and Dynamically-Decoded Predictions Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian McAuley, Zachary C. Lipton

ICLR 2019 Learning Robust Representations by Projecting Superficial Statistics Out Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing

AAAI 2018 BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems Zachary C. Lipton, Xiujun Li, Jianfeng Gao, Lihong Li, Faisal Ahmed, Li Deng

ICLR 2018 Deep Active Learning for Named Entity Recognition Yanyao Shen, Hyokun Yun, Zachary C. Lipton, Yakov Kronrod, Animashree Anandkumar

ICLR 2018 Learning from Noisy Singly-Labeled Data Ashish Khetan, Zachary C. Lipton, Animashree Anandkumar

ICLR 2018 Semantically Decomposing the Latent Spaces of Generative Adversarial Networks Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian McAuley

ICLR 2018 Stochastic Activation Pruning for Robust Adversarial Defense Guneet S. Dhillon, Kamyar Azizzadenesheli, Zachary C. Lipton, Jeremy D. Bernstein, Jean Kossaifi, Aran Khanna, Animashree Anandkumar

ICML 2017 Dance Dance Convolution Chris Donahue, Zachary C. Lipton, Julian McAuley

ICLR 2017 Dance Dance Convolution Chris Donahue, Zachary C. Lipton, Julian J. McAuley

ICLR 2017 Precise Recovery of Latent Vectors from Generative Adversarial Networks Zachary C. Lipton, Subarna Tripathi

MLHC 2017 Predicting Surgery Duration with Neural Heteroscedastic Regression Nathan H Ng, Rodney A Gabriel, Julian McAuley, Charles Elkan, Zachary C Lipton

CVPRW 2017 Tensor Contraction Layers for Parsimonious Deep Nets Jean Kossaifi, Aran Khanna, Zachary C. Lipton, Tommaso Furlanello, Anima Anandkumar

MLHC 2016 Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series Zachary C Lipton, David Kale, Randall Wetzel