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Zohar Karnin
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2020 – today
- 2023
- [c6]Anastasia Razdaibiedina, Ashish Khetan, Zohar Karnin, Daniel Khashabi, Vivek Madan:
Representation Projection Invariance Mitigates Representation Collapse. EMNLP (Findings) 2023: 14638-14664 - [i7]Saeed Khaki, Akhouri Abhinav Aditya, Zohar Karnin, Lan Ma, Olivia Pan, Samarth Marudheri Chandrashekar:
Uncovering Drift in Textual Data: An Unsupervised Method for Detecting and Mitigating Drift in Machine Learning Models. CoRR abs/2309.03831 (2023) - 2022
- [c5]Xin Huang, Ashish Khetan, Rene Bidart, Zohar Karnin:
Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection. ACL (1) 2022: 8798-8817 - [c4]David Nigenda, Zohar Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi:
Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models. KDD 2022: 3671-3681 - [i6]Xin Huang, Ashish Khetan, Rene Bidart, Zohar Karnin:
Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection. CoRR abs/2203.14380 (2022) - [i5]Anastasia Razdaibiedina, Vivek Madan, Zohar Karnin, Ashish Khetan, Vishaal Kapoor:
Improving language models fine-tuning with representation consistency targets. CoRR abs/2205.11603 (2022) - 2021
- [c3]Vivek Madan, Ashish Khetan, Zohar Karnin:
TADPOLE: Task ADapted Pre-Training via AnOmaLy DEtection. EMNLP (1) 2021: 5732-5746 - [c2]Sheng-Min Shih, Pin-Ju Tien, Zohar Karnin:
GANMEX: One-vs-One Attributions using GAN-based Model Explainability. ICML 2021: 9592-9602 - [i4]Fred Qin, Vivek Madan, Ujjwal Ratan, Zohar Karnin, Vishaal Kapoor, Parminder Bhatia, Taha A. Kass-Hout
:
Improving Early Sepsis Prediction with Multi Modal Learning. CoRR abs/2107.11094 (2021) - [i3]David Nigenda, Zohar Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi:
Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models. CoRR abs/2111.13657 (2021) - 2020
- [c1]Julian Katz-Samuels, Lalit Jain, Zohar Karnin, Kevin G. Jamieson:
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits. NeurIPS 2020 - [i2]Julian Katz-Samuels, Lalit Jain, Zohar Karnin, Kevin G. Jamieson:
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits. CoRR abs/2006.11685 (2020) - [i1]Sheng-Min Shih, Pin-Ju Tien, Zohar Karnin:
GANMEX: One-vs-One Attributions using GAN-based Model Explainability. CoRR abs/2011.06015 (2020)
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