Zohar Karnin

According to our database, Zohar Karnin authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Representation Projection Invariance Mitigates Representation Collapse.

Anastasia Razdaibiedina, Ashish Khetan, Zohar Karnin, Daniel Khashabi, Vivek Madan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Improving language models fine-tuning with representation consistency targets.

Anastasia Razdaibiedina, Vivek Madan, Zohar Karnin, Ashish Khetan, Vishaal Kapoor

CoRR, 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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection.

Xin Huang, Ashish Khetan, Rene Bidart, Zohar Karnin

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

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

GANMEX: One-vs-One Attributions using GAN-based Model Explainability.

Sheng-Min Shih, Pin-Ju Tien, Zohar Karnin

Proceedings of the 38th International Conference on Machine Learning, 2021

TADPOLE: Task ADapted Pre-Training via AnOmaLy DEtection.

Vivek Madan, Ashish Khetan, Zohar Karnin

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020