Ananth Balashankar

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 25

Top Topics

Open Domain Question Answering

Digital Image Watermarking

Top Venues

Publications

Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment. CoRR (2024)
Aradhana Sinha, Ananth Balashankar, Ahmad Beirami, Thi Avrahami, Jilin Chen, Alex Beutel
Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks. Trans. Mach. Learn. Res. 2024 (2024)
Yash Kumar Lal, Preethi Lahoti, Aradhana Sinha, Yao Qin, Ananth Balashankar
Automated Adversarial Discovery for Safety Classifiers. CoRR (2024)
James Atwood, Preethi Lahoti, Ananth Balashankar, Flavien Prost, Ahmad Beirami
Inducing Group Fairness in LLM-Based Decisions. CoRR (2024)
Ananth Balashankar, Xiao Ma, Aradhana Sinha, Ahmad Beirami, Yao Qin, Jilin Chen, Alex Beutel
Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning. CoRR (2023)
Ananth Balashankar, Srikanth Jagabathula, Lakshmi Subramanian
Learning Conditional Granger Causal Temporal Networks. CLeaR (2023)
Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Jilin Chen, Ed H. Chi, Alex Beutel
Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals. CoRR (2023)
Zhouxing Shi, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel, Yao Qin
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data. CoRR (2023)
Zhouxing Shi, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel, Yao Qin
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data. NeurIPS (2023)
Ananth Balashankar, Xuezhi Wang, Yao Qin, Ben Packer, Nithum Thain, Ed H. Chi, Jilin Chen, Alex Beutel
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation. EMNLP (Findings) (2023)
Aradhana Sinha, Ananth Balashankar, Ahmad Beirami, Thi Avrahami, Jilin Chen, Alex Beutel
Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks. CoRR (2023)
Ananth Balashankar, Samuel Fraiberger, Eric Deregt, Marelize Gorgens, Lakshminarayanan Subramanian
Targeted Policy Recommendations using Outcome-aware Clustering. COMPASS (2022)
Ananth Balashankar, Alyssa Lees
The Need for Transparent Demographic Group Trade-Offs in Credit Risk and Income Classification. iConference (1) (2022)
Ananth Balashankar, Lakshminarayanan Subramanian
Learning Faithful Representations of Causal Graphs. ACL/IJCNLP (1) (2021)
Ananth Balashankar, Lakshminarayanan Subramanian, Samuel P. Fraiberger
Fine-grained prediction of food insecurity using news streams. CoRR (2021)
Ananth Balashankar, Alex Beutel, Lakshminarayanan Subramanian
Enhancing Neural Recommender Models through Domain-Specific Concordance. WSDM (2021)
Ananth Balashankar, Xuezhi Wang, Ben Packer, Nithum Thain, Ed H. Chi, Alex Beutel
Can We Improve Model Robustness through Secondary Attribute Counterfactuals? EMNLP (1) (2021)
Yan Shvartzshnaider, Ananth Balashankar, Vikas Patidar, Thomas Wies, Lakshminarayanan Subramanian
Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling. CoRR (2020)
Yan Shvartzshnaider, Zvonimir Pavlinovic, Ananth Balashankar, Thomas Wies, Lakshminarayanan Subramanian, Helen Nissenbaum, Prateek Mittal
VACCINE: Using Contextual Integrity For Data Leakage Detection. WWW (2019)
Ananth Balashankar, Sunandan Chakraborty, Samuel Fraiberger, Lakshminarayanan Subramanian
Identifying Predictive Causal Factors from News Streams. EMNLP/IJCNLP (1) (2019)
Ananth Balashankar, Alyssa Lees
Fairness Sample Complexity and the Case for Human Intervention. CoRR (2019)
Ananth Balashankar, Aashish Dugar, Lakshminarayanan Subramanian, Samuel Fraiberger
Reconstructing the MERS disease outbreak from news. COMPASS (2019)
Ananth Balashankar, Alyssa Lees, Chris Welty, Lakshminarayanan Subramanian
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers. CoRR (2019)
Yan Shvartzshanider, Ananth Balashankar, Thomas Wies, Lakshminarayanan Subramanian
RECIPE: Applying Open Domain Question Answering to Privacy Policies. QA@ACL (2018)
Ananth Balashankar, Sunandan Chakraborty, Lakshminarayanan Subramanian
Unsupervised Word Influencer Networks from News Streams. ECONLP@ACL (2018)
Swadhin Pradhan, Ananth Balashankar, Niloy Ganguly, Bivas Mitra
(Stable) virtual landmarks: Spatial dropbox to enhance retail experience. COMSNETS (2014)