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2020 – today
- 2022
[j7]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, Diyi Yang:
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. Trans. Assoc. Comput. Linguistics 10: 1138-1158 (2022)- [c6]Nitay Calderon, Eyal Ben-David, Amir Feder, Roi Reichart:
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation. ACL (1) 2022: 7727-7746 - [c5]Fan Zhang, Itay Laish, Ayelet Benjamini, Amir Feder:
Section Classification in Clinical Notes with Multi-task Transformers. LOUHI@EMNLP 2022: 54-59 - [c4]Amir Feder, Itay Laish, Shashank Agarwal, Uri Lerner, Avel Atias, Cathy Cheung, Peter Clardy, Alon Peled-Cohen, Rachana Fellinger, Hengrui Liu, Lan Huong Nguyen, Birju Patel, Natan Potikha, Amir Taubenfeld, Liwen Xu, Seung Doo Yang, Ayelet Benjamini, Avinatan Hassidim:
Building a Clinically-Focused Problem List From Medical Notes. LOUHI@EMNLP 2022: 60-68 - [i11]Nitay Calderon, Eyal Ben-David, Amir Feder, Roi Reichart:
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation. CoRR abs/2202.12350 (2022) - [i10]Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu:
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior. CoRR abs/2205.14140 (2022) - [i9]Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld:
In the Eye of the Beholder: Robust Prediction with Causal User Modeling. CoRR abs/2206.00416 (2022) - [i8]Yanai Elazar, Nora Kassner, Shauli Ravfogel, Amir Feder, Abhilasha Ravichander, Marius Mosbach, Yonatan Belinkov, Hinrich Schütze, Yoav Goldberg:
Measuring Causal Effects of Data Statistics on Language Model's 'Factual' Predictions. CoRR abs/2207.14251 (2022) - [i7]Gal Yona, Amir Feder, Itay Laish:
Useful Confidence Measures: Beyond the Max Score. CoRR abs/2210.14070 (2022) - 2021
- [j6]Amir Feder, Nadav Oved, Uri Shalit, Roi Reichart:
CausaLM: Causal Model Explanation Through Counterfactual Language Models. Comput. Linguistics 47(2): 333-386 (2021) - [j5]J. T. Hamrick, Farhang Rouhi, Arghya Mukherjee, Amir Feder, Neil Gandal
, Tyler Moore, Marie Vasek:
An examination of the cryptocurrency pump-and-dump ecosystem. Inf. Process. Manag. 58(4): 102506 (2021) - [j4]Guy Rotman, Amir Feder, Roi Reichart:
Model Compression for Domain Adaptation through Causal Effect Estimation. Trans. Assoc. Comput. Linguistics 9: 1355-1373 (2021) - [c3]Daniel Rosenberg, Itai Gat, Amir Feder, Roi Reichart:
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions. ACL/IJCNLP (2) 2021: 61-70 - [c2]Shlomo Hoory, Amir Feder, Avichai Tendler, Sofia Erell, Alon Peled-Cohen, Itay Laish, Hootan Nakhost, Uri Stemmer, Ayelet Benjamini, Avinatan Hassidim, Yossi Matias:
Learning and Evaluating a Differentially Private Pre-trained Language Model. EMNLP (Findings) 2021: 1178-1189 - [c1]Yoav Wald, Amir Feder, Daniel Greenfeld, Uri Shalit:
On Calibration and Out-of-Domain Generalization. NeurIPS 2021: 2215-2227 - [i6]Guy Rotman, Amir Feder, Roi Reichart:
Model Compression for Domain Adaptation through Causal Effect Estimation. CoRR abs/2101.07086 (2021) - [i5]Yoav Wald, Amir Feder, Daniel Greenfeld, Uri Shalit:
On Calibration and Out-of-domain Generalization. CoRR abs/2102.10395 (2021) - [i4]Daniel Rosenberg, Itai Gat, Amir Feder, Roi Reichart:
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions. CoRR abs/2106.04484 (2021) - [i3]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, Diyi Yang:
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. CoRR abs/2109.00725 (2021) - 2020
- [j3]Nadav Oved, Amir Feder, Roi Reichart:
Predicting In-Game Actions from Interviews of NBA Players. Comput. Linguistics 46(3): 667-712 (2020) - [j2]Amir Feder, Danny Vainstein, Roni Rosenfeld, Tzvika Hartman, Avinatan Hassidim, Yossi Matias:
Active deep learning to detect demographic traits in free-form clinical notes. J. Biomed. Informatics 107: 103436 (2020) - [i2]Amir Feder, Nadav Oved, Uri Shalit, Roi Reichart:
CausaLM: Causal Model Explanation Through Counterfactual Language Models. CoRR abs/2005.13407 (2020)
2010 – 2019
- 2019
- [i1]Nadav Oved, Amir Feder, Roi Reichart:
Predicting In-game Actions From the Language of NBA Players. CoRR abs/1910.11292 (2019) - 2017
- [j1]Amir Feder, Neil Gandal, J. T. Hamrick, Tyler Moore:
The impact of DDoS and other security shocks on Bitcoin currency exchanges: evidence from Mt. Gox. J. Cybersecur. 3(2): 137-144 (2017)
Coauthor Index
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