Tal Schuster

Research Scientist

Google Research

אודות

אני חוקר למידת מכונה בחטיבת המחקר של גוגל. סיימתי את הדוקטורט במעבדת הבינה המלאכותית של המכון הטכנולוגי של מסצ׳וסטס תחת הנחייתה של פרופ׳ רגינה ברזילי.

המחקר שלי סוקר מספר פעמים בחדשות בישראל: גיקטיים1, גיקטיים2, גיקטיים3, גלובס, חדשות 12, ופעמים רבות בשאר העולם.

פרטים נוספים באתר באנגלית.

Interests

למידת מכונה
עיבוד שפה טבעית
ראיה ממוחשבת

Education

PhD in Computer Science

Massachusetts Institute of Technology
MSc in Computer Science

Tel Aviv University
BSc in Mathematics and Computer Science

Ben-Gurion University

Projects

Medical

Deep learning for cancer risk prediction

Recent Publications

Click here to see all

Programming Puzzles

We introduce a new type of programming challenge called programming puzzles, as an objective and comprehensive evaluation of program …

Tal Schuster, Ashwin Kalyan, Oleksandr Polozov, Adam Tauman Kalai

June 2021

PDF Code Dataset

Consistent Accelerated Inference via Confident Adaptive Transformers

We develop a novel approach for confidently accelerating inference in the large and expensive multilayer Transformers that are now …

Tal Schuster*, Adam Fisch*, Tommi Jaakkola, Regina Barzilay

April 2021

PDF Code Project Project

Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence

Typical fact verification models use retrieved written evidence to verify claims. Evidence sources, however, often change over time as …

Tal Schuster, Adam Fisch, Regina Barzilay

March 2021 In North American Chapter of the Association for Computational Linguistics (NAACL)

PDF Code Dataset Project News article

Efficient Conformal Prediction via Cascaded Inference with Expanded Admission

In this paper, we present a novel approach for conformal prediction (CP), in which we aim to identify a set of promising prediction …

Adam Fisch*, Tal Schuster*, Tommi Jaakkola, Regina Barzilay

January 2021 In ICLR

PDF Code Project Project

Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing

We introduce a novel method for multilingual transfer that utilizes deep contextual embeddings, pretrained in an unsupervised fashion. …

Tal Schuster*, Ori Ram*, Regina Barzilay, Amir Globerson

June 2019 In North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)

PDF Code Project slides Video

More Publications

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning
Vamsi Aribandi, Yi Tay, Tal Schuster, Jinfeng Rao, Huaixiu Steven Zheng, Sanket Vaibhav Mehta, Honglei Zhuang, Vinh Q Tran, Dara Bahri, Jianmo Ni, Jai Gupta, Kai Hui, Sebastian Ruder, Donald Metzler.
2022.

PDF Video

Few-shot Conformal Prediction with Auxiliary Tasks
Adam Fisch, Tal Schuster, Tommi Jaakkola, Regina Barzilay.
2021.

PDF Project

Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports
Enrico Santus, Tal Schuster, Amir M Tahmasebi, Clara Li, Adam Yala, Conor R Lanahan, Peter Prinsen, Scott F Thompson, Samuel Coons, Lance Mynderse, Regina Barzilay, Kevin Hughes.
In American Society of Clinical Oncology Journal (JCO), 2020.

PDF Project

Distilling the Evidence to Augment Fact Verification Models
Beatrice Portelli, Jason Zhao, Tal Schuster, Giuseppe Serra, Enrico Santus.
In Workshop on Fact Extraction and VERification (FEVER workshop at ACL), 2020.

PDF Project

The Limitations of Stylometry for Detecting Machine-Generated Fake News
Tal Schuster, Roei Schuster, Darsh J Shah, Regina Barzilay.
In Computational Linguistics, 2020.

PDF Dataset Project News article

Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning
Roei Schuster, Tal Schuster, Yoav Meri, Vitaly Shmatikov.
In IEEE Symposium on Security and Privacy (IEEE S&P), 2020.

PDF Project Video

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