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Vihari Piratla

Generalizing Across Domains via Cross-Gradient Training
2018 · Shankar, Shiv, Piratla, Vihari, et al. · arXiv (Cornell University) · 379
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Parallel Iterative Edit Models for Local Sequence Transduction
2019 · Abhijeet Awasthi, Sunita Sarawagi, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 145
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Efficient Domain Generalization via Common-Specific Low-Rank Decomposition
2020 · Piratla, Vihari, Netrapalli, Praneeth, et al. · arXiv (Cornell University) · 123
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An Analysis of Frame-skipping in Reinforcement Learning
2021 · Kalyanakrishnan, Shivaram, Aravindan, Siddharth, et al. · arXiv (Cornell University) · 14
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Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time
2021 · Nasery, Anshul, Thakur, Soumyadeep, et al. · arXiv (Cornell University) · 13
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Parameter estimation of tuberculosis transmission model using Ensemble Kalman filter across Indian states and union territories
2016 · Pankaj Narula, Vihari Piratla, et al. · Infection Disease & Health · 12
Focus on the Common Good: Group Distributional Robustness Follows
2021 · Piratla, Vihari, Netrapalli, Praneeth, et al. · arXiv (Cornell University) · 10
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Historical Research Using Email Archives
2015 · Sudheendra Hangal, Vihari Piratla, et al. · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · 8
Parallel Iterative Edit Models for Local Sequence Transduction
2019 · Awasthi, Abhijeet, Sarawagi, Sunita, et al. · arXiv (Cornell University) · 5
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Human-in-the-Loop Mixup
2022 · Collins, Katherine M., Bhatt, Umang, et al. · arXiv (Cornell University) · 4
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Robustness, Evaluation and Adaptation of Machine Learning Models in the Wild
2023 · Piratla, Vihari · arXiv (Cornell University) · 2
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Use perturbations when learning from explanations
2023 · Juyeon Heo, Vihari Piratla, et al. · neural information processing systems · 2
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Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint
2020 · Piratla, Vihari, Shankar, Shiv · arXiv (Cornell University) · 1
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NLP Service APIs and Models for Efficient Registration of New Clients
2020 · Sahil Shah, Vihari Piratla, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 1
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Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings
2019 · Vihari Piratla, Sunita Sarawagi, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
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Are Multilingual Models Actually Improving? Isolating True Cross-Lingual Transfer
2026 · Bajpai, Prasoon, Briakou, Eleftheria, et al. · arXiv (Cornell University)
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Supplementary Material for "XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks"
2026 · Jain, Purvam, Piratla, Vihari, et al. · Zenodo (CERN European Organization for Nuclear Research)
XLGoBench: Detecting cross-lingual skill gaps with algorithmic tasks
2026 · Purvam Jain, Vihari Piratla, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Are Multilingual Models Improving? Revisiting Cross-Lingual Transfer
2026 · Prasoon Bajpai, Eleftheria Briakou, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Rethinking Cross-lingual Gaps from a Statistical Viewpoint
2025 · Piratla, Vihari, Jain, Purvam, et al. · arXiv (Cornell University)
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Model Guidance via Robust Feature Attribution
2025 · Ghitu, Mihnea, Piratla, Vihari, et al. · arXiv (Cornell University)
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Estimation of Concept Explanations Should be Uncertainty Aware
2023 · Piratla, Vihari, Heo, Juyeon, et al. · arXiv (Cornell University)
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Certification of Distributional Individual Fairness
2023 · Matthew Wicker, Vihari Piratla, et al. · neural information processing systems
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Implicit Training of Energy Model for Structure Prediction
2022 · Shankar, Shiv, Piratla, Vihari · arXiv (Cornell University)
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Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations
2021 · Piratla, Vihari, Chakrabarty, Soumen, et al. · arXiv (Cornell University)
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Works count: 26
Citation count: 790
H-index: 8
I10-index: 8
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