| 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 | 25 | 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 | 20 | 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 |
| Identifying Predictive Causal Factors from News Streams A Balashankar, S Chakraborty, S Fraiberger, L Subramanian Empirical Methods in Natural Language Processing, 2019 | 12 | 2019 |
| 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 |
| Learning Faithful Representations of Causal Graphs A Balashankar, L Subramanian Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 7 | 2021 |
| (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 |
| Reconstructing the MERS Disease Outbreak from News A Balashankar, A Dugar, L Subramanian, S Fraiberger ACM COMPASS, 2019 | 4 | 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 | 3 | 2021 |
| Beyond the text: Analysis of privacy statements through syntactic and semantic role labeling Y Shvartzshnaider, A Balashankar, V Patidar, T Wies, L Subramanian arXiv preprint arXiv:2010.00678, 2020 | 3 | 2020 |
| 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 | 3 | 2019 |
| 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 |
| Predicting food crises using news streams A Balashankar, L Subramanian, SP Fraiberger Science Advances 9 (9), eabm3449, 2023 | 1 | 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 arXiv preprint arXiv:2302.01381, 2023 | 1 | 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 | 1 | 2022 |
| Fine-grained prediction of food insecurity using news streams A Balashankar, L Subramanian, SP Fraiberger arXiv preprint arXiv:2111.15602, 2021 | 1 | 2021 |
| Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals A Balashankar, X Wang, Y Qin, B Packer, N Thain, J Chen, EH Chi, ... arXiv preprint arXiv:2305.13535, 2023 | | 2023 |
| Learning Conditional Granger Causal Temporal Networks A Balashankar, S Jagabathula, L Subramanian 2nd Conference on Causal Learning and Reasoning, 2023 | | 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 | | 2022 |
