Amir Feder
Cited by
Cited by
The impact of DDoS and other security shocks on Bitcoin currency exchanges: Evidence from Mt. Gox
A Feder, N Gandal, JT Hamrick, T Moore
Journal of Cybersecurity 3 (2), 137-144, 2017
Explaining Classifiers with Causal Concept Effect (CaCE)
Y Goyal, A Feder, U Shalit, B Kim
arXiv preprint arXiv:1907.07165, 2020
CausaLM: Causal model explanation through counterfactual language models
A Feder, N Oved, U Shalit, R Reichart
Computational Linguistics 47 (2), 333-386, 2021
The economics of cryptocurrency pump and dump schemes
A Feder, N Gandal, JT Hamrick, T Moore, A Mukherjee, F Rouhi, M Vasek
CEPR Discussion Papers, 2018
Causal inference in natural language processing: Estimation, prediction, interpretation and beyond
A Feder, KA Keith, E Manzoor, R Pryzant, D Sridhar, Z Wood-Doughty, ...
arXiv preprint arXiv:2109.00725, 2021
On calibration and out-of-domain generalization
Y Wald, A Feder, D Greenfeld, U Shalit
Advances in neural information processing systems 34, 2215-2227, 2021
Thinking ahead: spontaneous prediction in context as a keystone of language in humans and machines
A Goldstein, Z Zada, E Buchnik, M Schain, A Price, B Aubrey, SA Nastase, ...
BioRxiv, 2020.12. 02.403477, 2021
An examination of the cryptocurrency pump-and-dump ecosystem
JT Hamrick, F Rouhi, A Mukherjee, A Feder, N Gandal, T Moore, M Vasek
Information Processing & Management 58 (4), 102506, 2019
Shared computational principles for language processing in humans and deep language models
A Goldstein, Z Zada, E Buchnik, M Schain, A Price, B Aubrey, SA Nastase, ...
Nature neuroscience 25 (3), 369-380, 2022
Learning and evaluating a differentially private pre-trained language model
S Hoory, A Feder, A Tendler, S Erell, A Peled-Cohen, I Laish, H Nakhost, ...
Findings of the Association for Computational Linguistics: EMNLP 2021, 1178-1189, 2021
Predicting In-game Actions from Interviews of NBA Players
N Oved, A Feder, R Reichart
Computational Linguistics 46 (3), 667–712, 2020
The rise and fall of cryptocurrencies
A Feder, N Gandal, JT Hamrick, T Moore, M Vasek
Workshop on the economics of information security, 2018
Active deep learning to detect demographic traits in free-form clinical notes
A Feder, D Vainstein, R Rosenfeld, T Hartman, A Hassidim, Y Matias
Journal of Biomedical Informatics 107, 103436, 2020
Are VQA systems rad? measuring robustness to augmented data with focused interventions
D Rosenberg, I Gat, A Feder, R Reichart
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
Model compression for domain adaptation through causal effect estimation
G Rotman, A Feder, R Reichart
Transactions of the Association for Computational Linguistics 9, 1355-1373, 2021
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation
N Calderon, E Ben-David, A Feder, R Reichart
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
Measuring Causal Effects of Data Statistics on Language Model'sFactual'Predictions
Y Elazar, N Kassner, S Ravfogel, A Feder, A Ravichander, M Mosbach, ...
arXiv preprint arXiv:2207.14251, 2022
In the Eye of the Beholder: Robust Prediction with Causal User Modeling
A Feder, G Horowitz, Y Wald, R Reichart, N Rosenfeld
arXiv preprint arXiv:2206.00416, 2022
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
ED Abraham, K D'Oosterlinck, A Feder, YO Gat, A Geiger, C Potts, ...
arXiv preprint arXiv:2205.14140, 2022
Correspondence between the layered structure of deep language models and temporal structure of natural language processing in the human brain
A Goldstein, E Ham, SA Nastase, Z Zada, A Dabush, BB Aubrey, ...
bioRxiv, 2022
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