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Amir Globerson

Amir Globerson

D-Index & Metrics

Computer Science

D-Index
52
Citations
9186
World Ranking
5146
National Ranking
81

Overview

Amir Globerson is affiliated with Tel Aviv University in Israel and has contributed extensively to the field of Computer Science, with a focus on Artificial Intelligence and Computer Vision and Pattern Recognition. Their research spans multiple subfields including Computer Networks and Communications, Biophysics, and Statistical and Nonlinear Physics.

Their published work appears across a variety of venues, most prominently in arXiv (Cornell University) with 54 publications, as well as in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Proceedings of the AAAI Conference on Artificial Intelligence, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), and the Transactions of the Association for Computational Linguistics.

Several recent papers illustrate the scope of their research contributions:

  • DETReg: Unsupervised Pretraining with Region Priors for Object Detection, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Explaining in Style: Training a GAN to explain a classifier in StyleSpace, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Object-Region Video Transformers, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Visual Prompting via Image Inpainting, 2022, arXiv (Cornell University)
  • Evaluating the Ripple Effects of Knowledge Editing in Language Models, 2024, Transactions of the Association for Computational Linguistics

Globerson's work intersects with a variety of main topics including:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Topic Modeling
  • Human Pose and Action Recognition
  • Generative Adversarial Networks and Image Synthesis
  • Natural Language Processing Techniques
  • Stochastic Gradient Optimization Techniques

Frequent collaborators in their research include Trevor Darrell, Amir Bar, Roei Herzig, Gal Chechik, and Edo Cohen-Karlik. These partnerships appear regularly across numerous publications, reflecting ongoing co-authorship and interdisciplinary teamwork.

Best Publications

  • Metric Learning by Collapsing Classes

    Amir Globerson;Sam T. Roweis

  • Euclidean Embedding of Co-occurrence Data

    Amir Globerson;Gal Chechik;Fernando Pereira;Naftali Tishby

  • Information Bottleneck for Gaussian Variables

    Gal Chechik;Amir Globerson;Naftali Tishby;Yair Weiss

  • Nightmare at test time: robust learning by feature deletion

    Amir Globerson;Sam Roweis

  • Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations

    Amir Globerson;Tommi S. Jaakkola

  • Tightening LP relaxations for MAP using message passing

    David Sontag;Talya Meltzer;Amir Globerson;Tommi Jaakkola

  • Learning Bayesian Network Structure using LP Relaxations

    Tommi S. Jaakkola;David Alexander Sontag;Amir Globerson;Marina Meila

  • Globally optimal gradient descent for a ConvNet with Gaussian inputs

    Alon Brutzkus;Amir Globerson

  • Introduction to dual composition for inference

    David Sontag;Amir Globerson;Amir Globerson;Amir Globerson;Tommi Jaakkola

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

    Tal Schuster;Ori Ram;Regina Barzilay;Amir Globerson

  • Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks

    Michael Collins;Amir Globerson;Terry Koo;Xavier Carreras

  • SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data

    Alon Brutzkus;Amir Globerson;Eran Malach;Shai Shalev-Shwartz

  • Rich cell-type-specific network topology in neocortical microcircuitry

    Eyal Gal;Michael London;Amir Globerson;Srikanth Ramaswamy

  • Structured Prediction Models via the Matrix-Tree Theorem

    Terry Koo;Amir Globerson;Xavier Carreras;Michael Collins

  • Selective Sharing for Multilingual Dependency Parsing

    Tahira Naseem;Regina Barzilay;Amir Globerson

  • Sufficient dimensionality reduction

    Amir Globerson;Naftali Tishby

  • Convex Learning with Invariances

    Choon H. Teo;Amir Globerson;Sam T. Roweis;Alex J. Smola

  • DETReg: Unsupervised Pretraining with Region Priors for Object Detection

    Amir Bar;Xin Wang;Vadim Kantorov;Colorado J. Reed

  • Collective Entity Resolution with Multi-Focal Attention

    Amir Globerson;Nevena Lazic;Soumen Chakrabarti;Amarnag Subramanya

  • Convergent message passing algorithms: a unifying view

    Talya Meltzer;Amir Globerson;Yair Weiss

  • Coreference Resolution with Entity Equalization.

    Ben Kantor;Amir Globerson

Frequent Co-Authors

Gal Chechik
Gal Chechik Bar-Ilan University
Jonathan Berant
Jonathan Berant Tel Aviv University
Naftali Tishby
Naftali Tishby Hebrew University of Jerusalem
Yair Weiss
Yair Weiss Hebrew University of Jerusalem
Shai Shalev-Shwartz
Shai Shalev-Shwartz Hebrew University of Jerusalem
Sam T. Roweis
Sam T. Roweis New York University
Trevor Darrell
Trevor Darrell University of California, Berkeley

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