Vihari Piratla

According to our database, Vihari Piratla authored at least 19 papers between 2015 and 2023.

Collaborative distances:

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

2023

Estimation of Concept Explanations Should be Uncertainty Aware.

Vihari Piratla, Juyeon Heo, Sukriti Singh, Adrian Weller

CoRR, 2023

Robust Learning from Explanations.

Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller

CoRR, 2023

Robustness, Evaluation and Adaptation of Machine Learning Models in the Wild.

Vihari Piratla

CoRR, 2023

Human-in-the-Loop Mixup.

Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Certification of Distributional Individual Fairness.

Matthew Wicker, Vihari Piratla, Adrian Weller

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Use perturbations when learning from explanations.

Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Implicit Training of Energy Model for Structure Prediction.

Shiv Shankar, Vihari Piratla

CoRR, 2022

Web-based Elicitation of Human Perception on mixup Data.

Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Bradley C. Love, Adrian Weller

CoRR, 2022

Focus on the Common Good: Group Distributional Robustness Follows.

Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

An Analysis of Frame-skipping in Reinforcement Learning.

Shivaram Kalyanakrishnan, Siddharth Aravindan, Vishwajeet Bagdawat, Varun Bhatt, Harshith Goka, Archit Gupta, Kalpesh Krishna, Vihari Piratla

CoRR, 2021

Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations.

Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time.

Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint.

Vihari Piratla, Shiv Shankar

CoRR, 2020

Efficient Domain Generalization via Common-Specific Low-Rank Decomposition.

Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi

Proceedings of the 37th International Conference on Machine Learning, 2020

NLP Service APIs and Models for Efficient Registration of New Clients.

Sahil Shah, Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Parallel Iterative Edit Models for Local Sequence Transduction.

Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings.

Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Generalizing Across Domains via Cross-Gradient Training.

Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi

Proceedings of the 6th International Conference on Learning Representations, 2018

2015

Historical Research Using Email Archives.

Sudheendra Hangal, Vihari Piratla, Chaiyasit Manovit, Peter Chan, Glynn Edwards, Monica S. Lam

Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015