Adam Fisch

Adam Fisch

Massachusetts Institute of Technology

H-index: 15

North America-United States

About Adam Fisch

Adam Fisch, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Machine Learning, Natural Language Processing, Uncertainty Estimation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Efficient decoding of output sequences using adaptive early exiting

Risk-controlling model selection via guided bayesian optimization

Towards robust and efficient continual language learning

Conformal language modeling

Conformal Methods for Efficient and Reliable Deep Learning

Helping or herding? reward model ensembles mitigate but do not eliminate reward hacking

Calibrated selective classification

Conformal risk control

Adam Fisch Information

University

Position

Ph.D. student

Citations(all)

6143

Citations(since 2020)

5626

Cited By

1889

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

17

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Adam Fisch Skills & Research Interests

Machine Learning

Natural Language Processing

Uncertainty Estimation

Top articles of Adam Fisch

Title

Journal

Author(s)

Publication Date

Efficient decoding of output sequences using adaptive early exiting

2024/1/30

Risk-controlling model selection via guided bayesian optimization

arXiv preprint arXiv:2312.01692

Bracha Laufer-Goldshtein

Adam Fisch

Regina Barzilay

Tommi Jaakkola

2023/12/4

Towards robust and efficient continual language learning

arXiv preprint arXiv:2307.05741

Adam Fisch

Amal Rannen-Triki

Razvan Pascanu

Jörg Bornschein

Angeliki Lazaridou

...

2023/7/11

Conformal language modeling

arXiv preprint arXiv:2306.10193

Victor Quach

Adam Fisch

Tal Schuster

Adam Yala

Jae Ho Sohn

...

2023/6/16

Conformal Methods for Efficient and Reliable Deep Learning

Adam Fisch

2023

Helping or herding? reward model ensembles mitigate but do not eliminate reward hacking

arXiv preprint arXiv:2312.09244

Jacob Eisenstein

Chirag Nagpal

Alekh Agarwal

Ahmad Beirami

Alex D'Amour

...

2023/12/14

Calibrated selective classification

arXiv preprint arXiv:2208.12084

Adam Fisch

Tommi Jaakkola

Regina Barzilay

2022/8/25

Conformal risk control

arXiv preprint arXiv:2208.02814

Anastasios N Angelopoulos

Stephen Bates

Adam Fisch

Lihua Lei

Tal Schuster

2022/8/4

Conformal prediction sets with limited false positives

Adam Fisch

Tal Schuster

Tommi Jaakkola

Regina Barzilay

2022/6/28

Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

arXiv preprint arXiv:2206.04615

Aarohi Srivastava

Abhinav Rastogi

Abhishek Rao

Abu Awal Md Shoeb

Abubakar Abid

...

2022/6/9

Confident adaptive language modeling

Neurips 2022

Tal Schuster

Adam Fisch

Jai Gupta

Mostafa Dehghani

Dara Bahri

...

2022/7/14

Uncertainty estimation for natural language processing

COLING 2022 (Tutorial)

Adam Fisch

Robin Jia

Tal Schuster

2022

Efficiently controlling multiple risks with pareto testing

arXiv preprint arXiv:2210.07913

Bracha Laufer-Goldshtein

Adam Fisch

Regina Barzilay

Tommi Jaakkola

2022/10/14

Trading Coverage for Precision: Conformal Prediction with Limited False Discoveries

Adam Fisch

Tal Schuster

Tommi S Jaakkola

Regina Barzilay

2021/10/6

Consistent accelerated inference via confident adaptive transformers

arXiv preprint arXiv:2104.08803

Tal Schuster

Adam Fisch

Tommi Jaakkola

Regina Barzilay

2021/4/18

Get your vitamin c! robust fact verification with contrastive evidence

NAACL 2021

Tal Schuster

Adam Fisch

Regina Barzilay

2021/3/15

Few-shot Conformal Prediction with Auxiliary Tasks

Adam Fisch

Tal Schuster

Tommi Jaakkola

Regina Barzilay

2021/7/1

CAPWAP: Captioning with a Purpose

Adam Fisch

Kenton Lee

Ming-Wei Chang

Jonathan H Clark

Regina Barzilay

2020/11/9

Embeddings with multiple relationships

2020/7/7

Efficient Conformal Prediction via Cascaded Inference with Expanded Admission

ICLR 2021

Adam Fisch

Tal Schuster

Tommi Jaakkola

Regina Barzilay

2021/1/7

See List of Professors in Adam Fisch University(Massachusetts Institute of Technology)

Co-Authors

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