Ananth Balashankar

According to our database, Ananth Balashankar authored at least 25 papers between 2014 and 2024.

Collaborative distances:

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

2024

Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks.

Aradhana Sinha, Ananth Balashankar, Ahmad Beirami, Thi Avrahami, Jilin Chen, Alex Beutel

Trans. Mach. Learn. Res., 2024

Discovering Hidden Pollution Hotspots Using Sparse Sensor Measurements.

Ankit Bhardwaj, Ananth Balashankar, Shiva R. Iyer, Nita Soans, Anant Sudarshan, Rohini Pande, Lakshminarayanan Subramanian

CoRR, 2024

Automated Adversarial Discovery for Safety Classifiers.

Yash Kumar Lal, Preethi Lahoti, Aradhana Sinha, Yao Qin, Ananth Balashankar

CoRR, 2024

Inducing Group Fairness in LLM-Based Decisions.

James Atwood, Preethi Lahoti, Ananth Balashankar, Flavien Prost, Ahmad Beirami

CoRR, 2024

Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment.

Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning.

Ananth Balashankar, Xiao Ma, Aradhana Sinha, Ahmad Beirami, Yao Qin, Jilin Chen, Alex Beutel

CoRR, 2023

Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals.

Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Jilin Chen, Ed H. Chi, Alex Beutel

CoRR, 2023

Effective Robustness against Natural Distribution Shifts for Models with Different Training Data.

Zhouxing Shi, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel, Yao Qin

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

Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation.

Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Ed H. Chi, Jilin Chen, Alex Beutel

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Learning Conditional Granger Causal Temporal Networks.

Ananth Balashankar, Srikanth Jagabathula, Lakshmi Subramanian

Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022

The Need for Transparent Demographic Group Trade-Offs in Credit Risk and Income Classification.

Ananth Balashankar, Alyssa Lees

Proceedings of the Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28, 2022

Targeted Policy Recommendations using Outcome-aware Clustering.

Ananth Balashankar, Samuel Fraiberger, Eric Deregt, Marelize Gorgens, Lakshminarayanan Subramanian

Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022

2021

Fine-grained prediction of food insecurity using news streams.

Ananth Balashankar, Lakshminarayanan Subramanian, Samuel P. Fraiberger

CoRR, 2021

Enhancing Neural Recommender Models through Domain-Specific Concordance.

Ananth Balashankar, Alex Beutel, Lakshminarayanan Subramanian

Proceedings of the WSDM '21, 2021

Can We Improve Model Robustness through Secondary Attribute Counterfactuals?

Ananth Balashankar, Xuezhi Wang, Ben Packer, Nithum Thain, Ed H. Chi, Alex Beutel

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning Faithful Representations of Causal Graphs.

Ananth Balashankar, Lakshminarayanan Subramanian

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling.

Yan Shvartzshnaider, Ananth Balashankar, Vikas Patidar, Thomas Wies, Lakshminarayanan Subramanian

CoRR, 2020

2019

What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers.

Ananth Balashankar, Alyssa Lees, Chris Welty, Lakshminarayanan Subramanian

CoRR, 2019

Fairness Sample Complexity and the Case for Human Intervention.

Ananth Balashankar, Alyssa Lees

CoRR, 2019

VACCINE: Using Contextual Integrity For Data Leakage Detection.

Yan Shvartzshnaider, Zvonimir Pavlinovic, Ananth Balashankar, Thomas Wies, Lakshminarayanan Subramanian, Helen Nissenbaum, Prateek Mittal

Proceedings of the World Wide Web Conference, 2019

Identifying Predictive Causal Factors from News Streams.

Ananth Balashankar, Sunandan Chakraborty, Samuel Fraiberger, Lakshminarayanan Subramanian

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

Reconstructing the MERS disease outbreak from news.

Ananth Balashankar, Aashish Dugar, Lakshminarayanan Subramanian, Samuel Fraiberger

Proceedings of the Conference on Computing & Sustainable Societies, 2019

2018

RECIPE: Applying Open Domain Question Answering to Privacy Policies.

Yan Shvartzshanider, Ananth Balashankar, Thomas Wies, Lakshminarayanan Subramanian

Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

Unsupervised Word Influencer Networks from News Streams.

Ananth Balashankar, Sunandan Chakraborty, Lakshminarayanan Subramanian

Proceedings of the First Workshop on Economics and Natural Language Processing, 2018

2014

(Stable) virtual landmarks: Spatial dropbox to enhance retail experience.

Swadhin Pradhan, Ananth Balashankar, Niloy Ganguly, Bivas Mitra

Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014