Amir Feder

Orcid: 0000-0001-5472-1135

According to our database1, Amir Feder authored at least 24 papers between 2017 and 2023.

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Bibliography

2023
The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models.
CoRR, 2023

Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals.
CoRR, 2023

Evaluating the Moral Beliefs Encoded in LLMs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causal-structure Driven Augmentations for Text OOD Generalization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LLMs Accelerate Annotation for Medical Information Extraction.
Proceedings of the Machine Learning for Health, 2023

An Invariant Learning Characterization of Controlled Text Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.
Trans. Assoc. Comput. Linguistics, 2022

Useful Confidence Measures: Beyond the Max Score.
CoRR, 2022

Measuring Causal Effects of Data Statistics on Language Model's 'Factual' Predictions.
CoRR, 2022

In the Eye of the Beholder: Robust Prediction with Causal User Modeling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Section Classification in Clinical Notes with Multi-task Transformers.
Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022

Building a Clinically-Focused Problem List From Medical Notes.
Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022

2021
Model Compression for Domain Adaptation through Causal Effect Estimation.
Trans. Assoc. Comput. Linguistics, 2021

An examination of the cryptocurrency pump-and-dump ecosystem.
Inf. Process. Manag., 2021

CausaLM: Causal Model Explanation Through Counterfactual Language Models.
Comput. Linguistics, 2021

On Calibration and Out-of-Domain Generalization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning and Evaluating a Differentially Private Pre-trained Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Active deep learning to detect demographic traits in free-form clinical notes.
J. Biomed. Informatics, 2020

Predicting In-Game Actions from Interviews of NBA Players.
Comput. Linguistics, 2020

2019
Predicting In-game Actions From the Language of NBA Players.
CoRR, 2019

2017
The impact of DDoS and other security shocks on Bitcoin currency exchanges: evidence from Mt. Gox.
J. Cybersecur., 2017


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