← Authors

Zachary C. Lipton

38 papers · 2017–2024 · 13 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (81) 🌍 Conference Polyglot (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ† Keyword Champion (3) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (158) ⚑ Prolific Year (9) πŸš€ Conference Pioneer πŸ’Ž Century Club (38) πŸ”₯ Unstoppable (8) ❓ The Questioner (3)

Conferences

EMNLP (8) ICLR (6) IJCNLP (6) AAAI (4) ACL (4) NIPS (3) AACL (1) CVPR (1) ICML (1) IJCAI (1) JMLR (1) MLHC (1) UAI (1)

Top co-authors

Bhuwan Dhingra (5) Julian McAuley (4) Danish Pruthi (4) Divyansh Kaushik (3) Kundan Krishna (3) Graham Neubig (3) Animashree Anandkumar (3) J. Zico Kolter (3) Pratyush Maini (3) Jeffrey Bigham (3)

Research topics

Privacy (1)

Keywords

question answering (4) uncertainty sampling (3) text classification (3) out-of-domain evaluation (2) convolutional neural network (2) abstractive summarization (2) model uncertainty (2) annotation projection (2) text summarization (2) reading comprehension (2) semi-supervised learning (2) generative model (2) recommender system (2) natural language processing (2) active learning (2) machine translation (2) extractive summarization (2) cross-lingual transfer (2) adversarial learning (2) orthographic similarity (2)

Papers

Rethinking LLM Memorization through the Lens of Adversarial Compression NIPS 2024
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning NIPS 2024
Understanding Hallucinations in Diffusion Models through Mode Interpolation NIPS 2024
Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic CVPR 2024
Valla: Standardizing and Benchmarking Authorship Attribution and Verification Through Empirical Evaluation and Comparative Analysis IJCNLP 2023
Moral Machine or Tyranny of the Majority? AAAI 2023
Valla: Standardizing and Benchmarking Authorship Attribution and Verification Through Empirical Evaluation and Comparative Analysis AACL 2023
Modeling Attrition in Recommender Systems with Departing Bandits AAAI 2022
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations AAAI 2022
Estimating treatment effects with observed confounders and mediators UAI 2021
Symbolic Music Generation with Transformer-GANs AAAI 2021
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques ACL 2021
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study ACL 2021
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data EMNLP 2021
Does Pretraining for Summarization Require Knowledge Transfer? EMNLP 2021
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques IJCNLP 2021
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study IJCNLP 2021
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment EMNLP 2020
Weakly- and Semi-supervised Evidence Extraction EMNLP 2020
Learning to Deceive with Attention-Based Explanations ACL 2020
Tensor Regression Networks JMLR 2020
Entity Projection via Machine Translation for Cross-Lingual NER EMNLP 2019
Active Learning with Partial Feedback ICLR 2019
Learning Robust Representations by Projecting Superficial Statistics Out ICLR 2019
AmazonQA: A Review-Based Question Answering Task IJCAI 2019
Practical Obstacles to Deploying Active Learning IJCNLP 2019
Entity Projection via Machine Translation for Cross-Lingual NER IJCNLP 2019
Embryo Staging with Weakly-Supervised Region Selection and Dynamically-Decoded Predictions MLHC 2019
Combating Adversarial Misspellings with Robust Word Recognition ACL 2019
Practical Obstacles to Deploying Active Learning EMNLP 2019
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks ICLR 2018
Deep Active Learning for Named Entity Recognition ICLR 2018
Learning From Noisy Singly-labeled Data ICLR 2018
Stochastic Activation Pruning for Robust Adversarial Defense ICLR 2018
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study EMNLP 2018
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks EMNLP 2018
Estimating Reactions and Recommending Products with Generative Models of Reviews IJCNLP 2017
Dance Dance Convolution ICML 2017