VACCINE: Using Contextual Integrity For Data Leakage Detection Y Shvartzshnaider, Z Pavlinovic, A Balashankar, T Wies, L Subramanian, ... The World Wide Web Conference, 1702-1712, 2019 | 29 | 2019 |
What is fair? exploring pareto-efficiency for fairness constrained classifiers A Balashankar, A Lees, C Welty, L Subramanian arXiv preprint arXiv:1910.14120, 2019 | 25 | 2019 |
Identifying Predictive Causal Factors from News Streams A Balashankar, S Chakraborty, S Fraiberger, L Subramanian Empirical Methods in Natural Language Processing, 2019 | 18 | 2019 |
RECIPE: Applying open domain question answering to privacy policies Y Shvartzshanider, A Balashankar, T Wies, L Subramanian Proceedings of the Workshop on Machine Reading for Question Answering, 71-77, 2018 | 15 | 2018 |
Signal-aware data transfer in cellular networks V Navda, R Ramjee, S Suneja, A Balashankar US Patent 8,843,169, 2014 | 13 | 2014 |
Learning Faithful Representations of Causal Graphs A Balashankar, L Subramanian Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 11 | 2021 |
Pareto-Efficient Fairness for Skewed Subgroup Data A Balashankar, AW Lees, C Welty, L Subramanian ICML Workshop on AI for Social Good, 2019 | 10 | 2019 |
Can we improve model robustness through secondary attribute counterfactuals? A Balashankar, X Wang, B Packer, N Thain, E Chi, A Beutel Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 8 | 2021 |
Predicting food crises using news streams A Balashankar, L Subramanian, SP Fraiberger Science Advances 9 (9), eabm3449, 2023 | 7 | 2023 |
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data Z Shi, N Carlini, A Balashankar, L Schmidt, CJ Hsieh, A Beutel, Y Qin Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS …, 2023 | 6 | 2023 |
(Stable) virtual landmarks: Spatial dropbox to enhance retail experience S Pradhan, A Balashankar, N Ganguly, B Mitra 2014 sixth international conference on communication systems and networks …, 2014 | 6 | 2014 |
Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling Y Shvartzshanider, A Balashankar, T Wies, L Subramanian Proceedings of the Natural Legal Language Processing Workshop 2023 …, 2023 | 4 | 2023 |
Modeling fine-grained spatio-temporal pollution maps with low-cost sensors SR Iyer, A Balashankar, WH Aeberhard, S Bhattacharyya, G Rusconi, ... npj Climate and Atmospheric Science 5 (1), 76, 2022 | 4 | 2022 |
Reconstructing the MERS Disease Outbreak from News A Balashankar, A Dugar, L Subramanian, S Fraiberger ACM COMPASS, 2019 | 4 | 2019 |
Fairness Sample Complexity and the Case for Human Intervention A Balashankar, AW Lees CHI Workshop on Where is the Human? Bridging the Gap Between AI and HCI, 2019 | 4* | 2019 |
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation A Balashankar, X Wang, Y Qin, B Packer, N Thain, E Chi, J Chen, ... Findings of the Association for Computational Linguistics: EMNLP 2023, 127-139, 2023 | 2 | 2023 |
The Need for Transparent Demographic Group Trade-Offs in Credit Risk and Income Classification A Balashankar, A Lees International Conference on Information, 344-354, 2022 | 2 | 2022 |
Fine-grained prediction of food insecurity using news streams A Balashankar, L Subramanian, SP Fraiberger arXiv preprint arXiv:2111.15602, 2021 | 2 | 2021 |
Enhancing neural recommender models through domain-specific concordance A Balashankar, A Beutel, L Subramanian Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 2 | 2021 |
Learning Conditional Granger Causal Temporal Networks A Balashankar, S Jagabathula, L Subramanian Conference on Causal Learning and Reasoning, 692-706, 2023 | 1 | 2023 |