An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits. - Julian Katz-Samuels; Lalit Jain; Zohar Karnin; Kevin G. Jamieson (NeurIPS, 2020)

TADPOLE: Task ADapted Pre-Training via AnOmaLy DEtection. - Vivek Madan; Ashish Khetan; Zohar Karnin (EMNLP (1), 2021)

GANMEX: One-vs-One Attributions using GAN-based Model Explainability. - Sheng-Min Shih; Pin-Ju Tien; Zohar Karnin (ICML, 2021)

Improving Early Sepsis Prediction with Multi Modal Learning. - Fred Qin; Vivek Madan; Ujjwal Ratan; Zohar Karnin; Vishaal Kapoor; Parminder Bhatia; Taha A. Kass-Hout (CoRR, 2021)

Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection. - Xin Huang; Ashish Khetan; Rene Bidart; Zohar Karnin (ACL (1), 2022)

Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models. - David Nigenda; Zohar Karnin; Muhammad Bilal Zafar; Raghu Ramesha; Alan Tan; Michele Donini; Krishnaram Kenthapadi (KDD, 2022)

Improving language models fine-tuning with representation consistency targets. - Anastasia Razdaibiedina; Vivek Madan; Zohar Karnin; Ashish Khetan; Vishaal Kapoor (CoRR, 2022)

Representation Projection Invariance Mitigates Representation Collapse. - Anastasia Razdaibiedina; Ashish Khetan; Zohar Karnin; Daniel Khashabi; Vivek Madan (EMNLP (Findings), 2023)

Uncovering Drift in Textual Data: An Unsupervised Method for Detecting and Mitigating Drift in Machine Learning Models. - Saeed Khaki; Akhouri Abhinav Aditya; Zohar Karnin; Lan Ma; Olivia Pan; Samarth Marudheri Chandrashekar (CoRR, 2023)

Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs. - Shadi Iskander; Sofia Tolmach; Ori Shapira; Nachshon Cohen; Zohar Karnin (EMNLP, 2024)