Adam Fisch

According to our database, Adam Fisch authored at least 25 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking.

Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alex D'Amour, Dj Dvijotham, Adam Fisch, Katherine A. Heller, Stephen Pfohl, Deepak Ramachandran, Peter Shaw, Jonathan Berant

CoRR, 2023

Risk-Controlling Model Selection via Guided Bayesian Optimization.

Bracha Laufer-Goldshtein, Adam Fisch, Regina Barzilay, Tommi S. Jaakkola

CoRR, 2023

Towards Robust and Efficient Continual Language Learning.

Adam Fisch, Amal Rannen-Triki, Razvan Pascanu, Jörg Bornschein, Angeliki Lazaridou, Elena Gribovskaya, Marc'Aurelio Ranzato

CoRR, 2023

Conformal Language Modeling.

Victor Quach, Adam Fisch, Tal Schuster, Adam Yala, Jae Ho Sohn, Tommi S. Jaakkola, Regina Barzilay

CoRR, 2023

Efficiently Controlling Multiple Risks with Pareto Testing.

Bracha Laufer-Goldshtein, Adam Fisch, Regina Barzilay, Tommi S. Jaakkola

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Calibrated Selective Classification.

Adam Fisch, Tommi S. Jaakkola, Regina Barzilay

Trans. Mach. Learn. Res., 2022

Conformal Risk Control.

Anastasios N. Angelopoulos, Stephen Bates, Adam Fisch, Lihua Lei, Tal Schuster

CoRR, 2022

Confident Adaptive Language Modeling.

Tal Schuster, Adam Fisch, Jai Prakash Gupta, Mostafa Dehghani, Dara Bahri, Vinh Q. Tran, Yi Tay, Donald Metzler

CoRR, 2022

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, et al.

CoRR, 2022

Confident Adaptive Language Modeling.

Tal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani, Dara Bahri, Vinh Tran, Yi Tay, Donald Metzler

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Conformal Prediction Sets with Limited False Positives.

Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay

Proceedings of the International Conference on Machine Learning, 2022

2021

Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence.

Tal Schuster, Adam Fisch, Regina Barzilay

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Few-Shot Conformal Prediction with Auxiliary Tasks.

Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay

Proceedings of the 38th International Conference on Machine Learning, 2021

Efficient Conformal Prediction via Cascaded Inference with Expanded Admission.

Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay

Proceedings of the 9th International Conference on Learning Representations, 2021

Consistent Accelerated Inference via Confident Adaptive Transformers.

Tal Schuster, Adam Fisch, Tommi S. Jaakkola, Regina Barzilay

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Making Pre-trained Language Models Better Few-shot Learners.

Tianyu Gao, Adam Fisch, Danqi Chen

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

CapWAP: Captioning with a Purpose.

Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay

CoRR, 2020

Relaxed Conformal Prediction Cascades for Efficient Inference Over Many Labels.

Adam Fisch, Tal Schuster, Tommi S. Jaakkola, Regina Barzilay

CoRR, 2020

CapWAP: Image Captioning with a Purpose.

Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers.

Adam Fisch, Jiang Guo, Regina Barzilay

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension.

Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, Danqi Chen

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018

StarSpace: Embed All The Things!

Ledell Yu Wu, Adam Fisch, Sumit Chopra, Keith Adams, Antoine Bordes, Jason Weston

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

ParlAI: A Dialog Research Software Platform.

Alexander H. Miller, Will Feng, Dhruv Batra, Antoine Bordes, Adam Fisch, Jiasen Lu, Devi Parikh, Jason Weston

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Reading Wikipedia to Answer Open-Domain Questions.

Danqi Chen, Adam Fisch, Jason Weston, Antoine Bordes

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Key-Value Memory Networks for Directly Reading Documents.

Alexander H. Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, Jason Weston

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016