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publications
The impact of DDoS and other security shocks on Bitcoin currency exchanges: evidence from Mt. Gox
Journal of Cybersecurity 2017
Recommended citation: Amir Feder, Neil Gandal, J.T. Hamrick and Tyler Moore. "The impact of DDoS and other security shocks on Bitcoin currency exchanges: evidence from Mt. Gox." Journal of Cybersecurity (Volume 3, pages: 137-144). 2017.
The Rise and Fall of Cryptocurrencies
Workshop on the Economics of Information Security 2018
Recommended citation: Amir Feder, Neil Gandal, J.T. Hamrick, Tyler Moore and Marie Vasek. "The Rise and Fall of Cryptocurrencies." Workshop on the Economics of Information Security. 2018.
The Economics of Cryptocurrency Pump and Dump Schemes
Workshop on the Economics of Information Security 2019
Recommended citation: J.T. Hamrick, Farhang Rouhi, Arghya Mukherjee, Amir Feder, Neil Gandal, Tyler Moore and Marie Vasek. "The Economics of Cryptocurrency Pump and Dump Schemes." Workshop on the Economics of Information Security. 2019.
Explaining Classifiers with Causal Concept Effect (CaCE)
2020
Recommended citation: Yash Goyal, Amir Feder, Uri Shalit and Been Kim. "Explaining Classifiers with Causal Concept Effect (CaCE)."
Active Deep Learning to Detect Demographic Traits in Free-Form Clinical Notes
Journal of Biomedical Informatics 2020
Recommended citation: Amir Feder, Danny Vainstein, Roni Rosenfeld, Tzvika Hartman, Avinatan Hassidim and Yossi Matias. "Active Deep Learning to Detect Demographic Traits in Free-Form Clinical Notes." Journal of Biomedical Informatics (Volume 107). 2020.
Predicting In-game Actions from Interviews of NBA Players
Computational Linguistics 2020
Recommended citation: Amir Feder*, Nadav Oved* and Roi Reichart. "Predicting In-game Actions from Interviews of NBA Players." Computational Linguistics (Vol. 46, No. 3). 2020.
CausaLM: Causal Model Explanation Through Counterfactual Language Models
Computational Linguistics 2020
Recommended citation: Amir Feder, Nadav Oved, Uri Shalit and Roi Reichart. "CausaLM: Causal Model Explanation Through Counterfactual Language Models"
On Calibration and Out-of-domain Generalization
Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), 2021 2021
Recommended citation: Yoav Wald*, 'Amir Feder*, Daniel Greenfeld and Uri Shalit. "On Calibration and Out-of-domain Generalization"'
Are VQA Systems RAD? Measuring Robustness to Augmented Data
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021 2021
Recommended citation: Daniel Yakoby, Itai Gat, 'Amir Feder and Roi Reichart. "Are VQA Systems RAD? Measuring Robustness to Augmented Data"'
Model Compression for Domain Adaptation through Causal Effect Estimation
Transactions of the Association for Computational Linguistics (TACL) 2021
Recommended citation: Amir Feder*, Guy Rotman* and Roi Reichart. "Model Compression for Domain Adaptation through Causal Effect Estimation"
Learning and Evaluating a Differentially Private Pre-trained Language Model
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2021
Recommended citation: Shlomo Hoory, Amir Feder, Avichai Tendler, Alon Cohen, Sofia Erell, Itay Laish, Hootan Nakhost, Uri Stemmer, Ayelet Benjamini, Avinatan Hassidim and Yossi Matias. "Learning and Evaluating a Differentially Private Pre-trained Language Model"'
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
2021
Recommended citation: Amir Feder, Katherine A Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E Roberts, Brandon M Stewart, Victor Veitch and Diyi Yang. "Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond"
Brain embeddings with shared geometry to artificial contextual embeddings, as a code for representing language in the human brain
2022
Recommended citation: Ariel Goldstein, Avigail Dabush, Bobbi Aubrey, Mariano Schain, Samuel A Nastase, Zaid Zada, Eric Ham, Zhuoqiao Hong, Amir Feder, Harshvardhan Gazula, Eliav Buchnik, Werner Doyle, Sasha Devore, Patricia Dugan, Daniel Friedman, Michael Brenner, Avinatan Hassidim, Orrin Devinsky, Adeen Flinker, Uri Hasson. "Brain embeddings with shared geometry to artificial contextual embeddings, as a code for representing language in the human brain"
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Recommended citation: Nitay Calderon, Eyal Ben-David, Amir Feder and Roi Reichart. "DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation"
talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
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