Vihari Piratla

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 27

Top Topics

Machine Learning

High Prediction Accuracy

Top Venues

Publications

Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller
Human-in-the-Loop Mixup. UAI (2023)
Matthew Wicker, Vihari Piratla, Adrian Weller
Certification of Distributional Individual Fairness. NeurIPS (2023)
Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller
Use perturbations when learning from explanations. NeurIPS (2023)
Vihari Piratla
Robustness, Evaluation and Adaptation of Machine Learning Models in the Wild. CoRR (2023)
Matthew Wicker, Vihari Piratla, Adrian Weller
Certification of Distributional Individual Fairness. CoRR (2023)
Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller
Robust Learning from Explanations. CoRR (2023)
Vihari Piratla, Juyeon Heo, Sukriti Singh, Adrian Weller
Estimation of Concept Explanations Should be Uncertainty Aware. CoRR (2023)
Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi
Focus on the Common Good: Group Distributional Robustness Follows. ICLR (2022)
Shiv Shankar, Vihari Piratla
Implicit Training of Energy Model for Structure Prediction. CoRR (2022)
Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Bradley C. Love, Adrian Weller
Web-based Elicitation of Human Perception on mixup Data. CoRR (2022)
Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi
Focus on the Common Good: Group Distributional Robustness Follows. CoRR (2021)
Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations. CoRR (2021)
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 (2021)
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)
Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations. NeurIPS (2021)
Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. CoRR (2021)
Sahil Shah, Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi
NLP Service APIs and Models for Efficient Registration of New Clients. CoRR (2020)
Sahil Shah, Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi
NLP Service APIs and Models for Efficient Registration of New Clients. EMNLP (Findings) (2020)
Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition. ICML (2020)
Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition. CoRR (2020)
Vihari Piratla, Shiv Shankar
Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint. CoRR (2020)
Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings. ACL (1) (2019)
Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla
Parallel Iterative Edit Models for Local Sequence Transduction. EMNLP/IJCNLP (1) (2019)
Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti
Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings. CoRR (2019)
Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla
Parallel Iterative Edit Models for Local Sequence Transduction. CoRR (2019)
Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi
Generalizing Across Domains via Cross-Gradient Training. ICLR (Poster) (2018)
Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi
Generalizing Across Domains via Cross-Gradient Training. CoRR (2018)
Sudheendra Hangal, Vihari Piratla, Chaiyasit Manovit, Peter Chan, Glynn Edwards, Monica S. Lam
Historical Research Using Email Archives. CHI Extended Abstracts (2015)