Nitay Calderon

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	NL-Eye: Abductive NLI for Images	2024	Mor Ventura Michael Toker Nitay Calderon Zorik Gekhman Yonatan Bitton Roi Reichart
+	Measuring the Robustness of NLP Models to Domain Shifts	2023	Nitay Calderon Naveh Porat Eyal Ben‐David Zorik Gekhman Nadav Oved Roi Reichart
+	Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals	2023	Yair Ori Gat Nitay Calderon Amir Feder Alexander Chapanin Amit Sharma Roi Reichart
+ PDF Chat	DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation	2022	Nitay Calderon Eyal Ben‐David Amir Feder Roi Reichart
+	DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation	2022	Nitay Calderon Eyal Ben‐David Amir Feder Roi Reichart

Common Coauthors

Coauthor	Papers Together
Roi Reichart	5
Amir Feder	3
Eyal Ben‐David	3
Zorik Gekhman	2
Nadav Oved	1
Amit Sharma	1
Naveh Porat	1
Yair Ori Gat	1
Alexander Chapanin	1
Mor Ventura	1
Michael Toker	1
Yonatan Bitton	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Domain-Adversarial Training of Neural Networks	2017	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	1
+ PDF Chat	Domain Adaptation for Statistical Classifiers	2006	Hal Daumé Daniel Marcu	1
+	Character-level Convolutional Networks for Text Classification	2015	Xiang Zhang Junbo Zhao Yann LeCun	1
+ PDF Chat	Understanding Back-Translation at Scale	2018	Sergey Edunov Myle Ott Michael Auli David Grangier	1
+	Decoupled Weight Decay Regularization	2017	Ilya Loshchilov Frank Hutter	1
+	Unsupervised Data Augmentation for Consistency Training	2019	Qizhe Xie Zihang Dai Eduard Hovy Minh-Thang Luong Quoc V. Le	1
+	Generating Sentences from a Continuous Space	2016	Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafał Józefowicz Samy Bengio	1
+	Neural Structural Correspondence Learning for Domain Adaptation	2017	Yftah Ziser Roi Reichart	1
+	Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations	2018	Sosuke Kobayashi	1
+ PDF Chat	A Persona-Based Neural Conversation Model	2016	Jiwei Li Michel Galley Chris Brockett Georgios Spithourakis Jianfeng Gao Bill Dolan	1
+	Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling	2019	Xiaochuang Han Jacob Eisenstein	1
+	EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks	2019	Jason Wei Kai Zou	1
+	CTRL: A Conditional Transformer Language Model for Controllable Generation	2019	Nitish Shirish Keskar Bryan McCann Lav R. Varshney Caiming Xiong Richard Socher	1
+	Learning the Difference that Makes a Difference with Counterfactually-Augmented Data	2019	Divyansh Kaushik Eduard Hovy Zachary C. Lipton	1
+ PDF Chat	Shortcut learning in deep neural networks	2020	Robert Geirhos Jörn-Henrik Jacobsen Claudio Michaelis Richard S. Zemel Wieland Brendel Matthias Bethge Felix A. Wichmann	1
+ PDF Chat	PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models	2020	Eyal Ben‐David Carmel Rabinovitz Roi Reichart	1
+	SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness	2020	Nathan Ng Kyunghyun Cho Marzyeh Ghassemi	1
+	If beam search is the answer, what was the question?	2020	Clara Meister Ryan Cotterell Tim Vieira	1
+	More Bang for Your Buck: Natural Perturbation for Robust Question Answering	2020	Daniel Khashabi Tushar Khot Ashish Sabharwal	1
+	Identifying Spurious Correlations for Robust Text Classification	2020	Zhao Wang Aron Culotta	1
+ PDF Chat	Transformer Based Multi-Source Domain Adaptation	2020	Dustin Wright Isabelle Augenstein	1
+	Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange	2019	Steven Y. Feng Aaron W. Li Jesse Hoey	1
+ PDF Chat	Exploring Controllable Text Generation Techniques	2020	Shrimai Prabhumoye Alan W. Black Ruslan Salakhutdinov	1
+	PADA: A Prompt-based Autoregressive Approach for Adaptation to Unseen Domains.	2021	Eyal Ben‐David Nadav Oved Roi Reichart	1
+ PDF Chat	CausaLM: Causal Model Explanation Through Counterfactual Language Models	2021	Amir Feder Nadav Oved Uri Shalit Roi Reichart	1
+ PDF Chat	Competency Problems: On Finding and Removing Artifacts in Language Data	2021	Matt Gardner William Merrill Jesse Dodge Matthew E. Peters Alexis Ross Sameer Singh Noah A. Smith	1
+	Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models	2021	Tongshuang Wu Marco Túlio Ribeiro Jeffrey Heer Daniel S. Weld	1
+	A Survey of Data Augmentation Approaches for NLP	2021	Steven Y. Feng Varun Gangal Jason Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard Hovy	1
+ PDF Chat	An Investigation of the (In)effectiveness of Counterfactually Augmented Data	2022	Nitish Joshi He He	1
+	DILBERT: Customized Pre-Training for Domain Adaptation withCategory Shift, with an Application to Aspect Extraction	2021	Entony Lekhtman Yftah Ziser Roi Reichart	1
+	Towards Zero-Label Language Learning	2021	Zi-Rui Wang Adams Wei Yu Orhan Fırat Yuan Cao	1
+	Explaining The Efficacy of Counterfactually Augmented Data	2020	Divyansh Kaushik Amrith Setlur Eduard Hovy Zachary C. Lipton	1
+	Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer	2019	Colin Raffel Noam Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu	1
+	Language Models are Few-Shot Learners	2020	T. B. Brown Benjamin F. Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell	1
+ PDF Chat	Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond	2022	Amir Feder Katherine A. Keith Emaad Manzoor Reid Pryzant Dhanya Sridhar Zach Wood-Doughty Jacob Eisenstein Justin Grimmer Roi Reichart Margaret E. Roberts	1
+ PDF Chat	An Empirical Survey of Data Augmentation for Limited Data Learning in NLP	2023	Jiaao Chen Derek Tam Colin Raffel Mohit Bansal Diyi Yang	1