Ananth Balashankar

According to our database1, Ananth Balashankar authored at least 25 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks.
Trans. Mach. Learn. Res., 2024

Discovering Hidden Pollution Hotspots Using Sparse Sensor Measurements.
CoRR, 2024

Automated Adversarial Discovery for Safety Classifiers.
CoRR, 2024

Inducing Group Fairness in LLM-Based Decisions.
CoRR, 2024

Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment.
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.
CoRR, 2023

Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals.
CoRR, 2023

Effective Robustness against Natural Distribution Shifts for Models with Different Training Data.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Learning Conditional Granger Causal Temporal Networks.
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.
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.
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.
CoRR, 2021

Enhancing Neural Recommender Models through Domain-Specific Concordance.
Proceedings of the WSDM '21, 2021

Can We Improve Model Robustness through Secondary Attribute Counterfactuals?
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning Faithful Representations of Causal Graphs.
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.
CoRR, 2020

2019
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers.
CoRR, 2019

Fairness Sample Complexity and the Case for Human Intervention.
CoRR, 2019

VACCINE: Using Contextual Integrity For Data Leakage Detection.
Proceedings of the World Wide Web Conference, 2019

Identifying Predictive Causal Factors from News Streams.
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.
Proceedings of the Conference on Computing & Sustainable Societies, 2019

2018
RECIPE: Applying Open Domain Question Answering to Privacy Policies.
Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

Unsupervised Word Influencer Networks from News Streams.
Proceedings of the First Workshop on Economics and Natural Language Processing, 2018

2014
(Stable) virtual landmarks: Spatial dropbox to enhance retail experience.
Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014


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