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Vihari Piratla
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2020 – today
- 2023
- [c12]Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller:
Use perturbations when learning from explanations. NeurIPS 2023 - [c11]Matthew Wicker, Vihari Piratla, Adrian Weller:
Certification of Distributional Individual Fairness. NeurIPS 2023 - [c10]Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller:
Human-in-the-Loop Mixup. UAI 2023: 454-464 - [i16]Vihari Piratla:
Robustness, Evaluation and Adaptation of Machine Learning Models in the Wild. CoRR abs/2303.02781 (2023) - [i15]Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller:
Robust Learning from Explanations. CoRR abs/2303.06419 (2023) - [i14]Matthew Wicker, Vihari Piratla, Adrian Weller:
Certification of Distributional Individual Fairness. CoRR abs/2311.11911 (2023) - [i13]Vihari Piratla, Juyeon Heo, Sukriti Singh, Adrian Weller:
Estimation of Concept Explanations Should be Uncertainty Aware. CoRR abs/2312.08063 (2023) - 2022
- [c9]Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi:
Focus on the Common Good: Group Distributional Robustness Follows. ICLR 2022 - [i12]Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Bradley C. Love, Adrian Weller:
Web-based Elicitation of Human Perception on mixup Data. CoRR abs/2211.01202 (2022) - [i11]Shiv Shankar, Vihari Piratla:
Implicit Training of Energy Model for Structure Prediction. CoRR abs/2211.11649 (2022) - 2021
- [c8]Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi:
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. NeurIPS 2021: 19198-19209 - [c7]Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi:
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations. NeurIPS 2021: 23140-23151 - [i10]Shivaram Kalyanakrishnan, Siddharth Aravindan, Vishwajeet Bagdawat, Varun Bhatt, Harshith Goka, Archit Gupta, Kalpesh Krishna, Vihari Piratla:
An Analysis of Frame-skipping in Reinforcement Learning. CoRR abs/2102.03718 (2021) - [i9]Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi:
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations. CoRR abs/2108.06514 (2021) - [i8]Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi:
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. CoRR abs/2108.06721 (2021) - [i7]Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi:
Focus on the Common Good: Group Distributional Robustness Follows. CoRR abs/2110.02619 (2021) - 2020
- [c6]Sahil Shah, Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi:
NLP Service APIs and Models for Efficient Registration of New Clients. EMNLP (Findings) 2020: 4007-4012 - [c5]Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi:
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition. ICML 2020: 7728-7738 - [i6]Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi:
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition. CoRR abs/2003.12815 (2020) - [i5]Vihari Piratla, Shiv Shankar:
Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint. CoRR abs/2007.04662 (2020) - [i4]Sahil Shah, Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi:
NLP Service APIs and Models for Efficient Registration of New Clients. CoRR abs/2010.01526 (2020)
2010 – 2019
- 2019
- [c4]Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti:
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings. ACL (1) 2019: 1717-1726 - [c3]Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla:
Parallel Iterative Edit Models for Local Sequence Transduction. EMNLP/IJCNLP (1) 2019: 4259-4269 - [i3]Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti:
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings. CoRR abs/1906.02688 (2019) - [i2]Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla:
Parallel Iterative Edit Models for Local Sequence Transduction. CoRR abs/1910.02893 (2019) - 2018
- [c2]Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi:
Generalizing Across Domains via Cross-Gradient Training. ICLR (Poster) 2018 - [i1]Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi:
Generalizing Across Domains via Cross-Gradient Training. CoRR abs/1804.10745 (2018) - 2015
- [c1]Sudheendra Hangal, Vihari Piratla, Chaiyasit Manovit, Peter Chan, Glynn Edwards, Monica S. Lam:
Historical Research Using Email Archives. CHI Extended Abstracts 2015: 735-742
Coauthor Index
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