Amir Globerson

发表

Approximate inference using planar graph decomposition

Tommi S. Jaakkola, Amir Globerson, T. Jaakkola, 2006, NIPS.

Learning Max-Margin Tree Predictors pdf

Elad Eban, Ofer Meshi, Amir Globerson, 2013, UAI.

Weakly Supervised Semantic Parsing with Abstract Examples pdf

Jonathan Berant, Amir Globerson, Omer Goldman, 2017, ACL.

On the Inductive Bias of a CNN for Orthogonal Patterns Distributions pdf

Amir Globerson, Alon Brutzkus, 2020, ArXiv.

Semi-Supervised Learning with Competitive Infection Models pdf

Amir Globerson, Nir Rosenfeld, 2018, AISTATS.

Coreference Resolution with Entity Equalization

Amir Globerson, Ben Kantor, A. Globerson, 2019, ACL.

Exponentiated gradient algorithms for log-linear structured prediction

Xavier Carreras, Michael Collins, Amir Globerson, 2007, ICML '07.

Inferning with High Girth Graphical Models

Amir Globerson, Uri Heinemann, A. Globerson, 2014, ICML.

Visualizing pairwise similarity via semidefinite programming

Amir Globerson, Sam T. Roweis, 2007, AISTATS.

Time Varying Autoregressive Moving Average Models for Covariance Estimation

Ami Wiesel, Amir Globerson, Ofir Bibi, 2013, IEEE Transactions on Signal Processing.

The minimum information principle and its application to neural code analysis

Naftali Tishby, Amir Globerson, Eran Stark, 2009, Proceedings of the National Academy of Sciences.

Learning Structured Models with the AUC Loss and Its Generalizations

Ofer Meshi, Daniel Tarlow, Amir Globerson, 2014, AISTATS.

Convexifying the Bethe Free Energy pdf

Ofer Meshi, Nir Friedman, Amir Globerson, 2009, UAI.

Optimal Strategies Against Generative Attacks

Amir Globerson, Erez Peterfreund, Matan Gavish, 2020, ICLR.

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

Tommi S. Jaakkola, Amir Globerson, T. Jaakkola, 2007, NIPS.

Label Propagation Networks

Amir Globerson, Kojin Oshiba, Nir Rosenfeld, 2018 .

Maximin Optimization for Binary Regression pdf

Amir Globerson, Ami Wiesel, Nisan Chiprut, 2020, ArXiv.

Distributed Latent Variable Models of Lexical Co-occurrences

John Blitzer, Amir Globerson, Fernando Pereira, 2005, AISTATS.

Optimal Tagging with Markov Chain Optimization

Amir Globerson, Nir Rosenfeld, 2016, NIPS.

Convergence Rate Analysis of MAP Coordinate Minimization Algorithms

Tommi S. Jaakkola, Ofer Meshi, Amir Globerson, 2012, NIPS.

Learning the Experts for Online Sequence Prediction pdf

Elad Eban, Shai Shalev-Shwartz, Amir Globerson, 2012, ICML.

Convex Learning with Invariances

Alexander J. Smola, Choon Hui Teo, Amir Globerson, 2007, NIPS.

Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction

Jonathan Berant, Gal Chechik, Amir Globerson, 2018, NeurIPS.

Generalization to new compositions of known entities in image understanding

Jonathan Berant, Gal Chechik, Amir Globerson, 2017 .

Clusters and Coarse Partitions in LP Relaxations

Tommi S. Jaakkola, Amir Globerson, David Sontag, 2008, NIPS.

Convergent Propagation Algorithms via Oriented Trees

Tommi S. Jaakkola, Amir Globerson, T. Jaakkola, 2007, UAI.

Higher Order Matching for Consistent Multiple Target Tracking

Amir Globerson, Chetan Arora, A. Globerson, 2013, 2013 IEEE International Conference on Computer Vision.

Classifying Collisions with Spatio-Temporal Action Graph Networks pdf

Trevor Darrell, Amir Globerson, Huijuan Xu, 2018, ArXiv.

The More the Merrier: Parameter Learning for Graphical Models with Multiple MAPs

Franziska Meier, Fei Sha, Amir Globerson, 2013 .

Learning Efficiently with Approximate Inference via Dual Losses

Tommi S. Jaakkola, Ofer Meshi, Amir Globerson, 2010, ICML.

Sufficient Dimensionality Reduction

Naftali Tishby, Amir Globerson, Naftali Tishby, 2003, J. Mach. Learn. Res..

Efficient Lifting of MAP LP Relaxations Using k-Locality

Kristian Kersting, Amir Globerson, Martin Mladenov, 2014, AISTATS.

Learning to Map into a Universal POS Tagset

Regina Barzilay, Amir Globerson, Roi Reichart, 2012, EMNLP-CoNLL.

Most informative dimension reduction

Naftali Tishby, Amir Globerson, 2002, AAAI/IAAI.

Rich cell-type-specific network topology in neocortical microcircuitry

Henry Markram, Idan Segev, Eilif Muller, 2017, Nature Neuroscience.

Differentiable Scene Graphs

Jonathan Berant, Gal Chechik, Amir Globerson, 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Predict and Constrain: Modeling Cardinality in Deep Structured Prediction pdf

Amir Globerson, Nataly Brukhim, A. Globerson, 2018, ICML.

An LP View of the M-best MAP problem

Amir Globerson, Menachem Fromer, A. Globerson, 2009, NIPS.

Euclidean Embedding of Co-occurrence Data

Gal Chechik, Naftali Tishby, Amir Globerson, 2004, J. Mach. Learn. Res..

Robust Conditional Probabilities

Amir Globerson, Yoav Wald, A. Globerson, 2017, NIPS.

Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem

Amir Globerson, Alon Brutzkus, Alon Brutzkus, 2018, ICML.

Learning to generalize to new compositions in image understanding pdf

Jonathan Berant, Gal Chechik, Amir Globerson, 2016, ArXiv.

Learning Rules-First Classifiers

Amit Daniely, Amir Globerson, Deborah Cohen, 2019, AISTATS.

Explaining Queries Over Web Tables to Non-experts

Daniel Deutch, Tova Milo, Jonathan Berant, 2018, 2019 IEEE 35th International Conference on Data Engineering (ICDE).

Transfer Learning for Constituency-Based Grammars

Regina Barzilay, Amir Globerson, Yuan Zhang, 2013, ACL.

Template Kernels for Dependency Parsing

Amir Globerson, Yoav Goldberg, Hillel Taub-Tabib, 2015, HLT-NAACL.

Holdout SGD: Byzantine Tolerant Federated Learning.

Yehuda Afek, Amir Globerson, Tomer Koren, 2020, 2008.04612.

Towards Understanding Learning in Neural Networks with Linear Teachers pdf

Amir Globerson, Alon Brutzkus, Roei Sarussi, 2021, ArXiv.

More data means less inference: A pseudo-max approach to structured learning

Tommi S. Jaakkola, Ofer Meshi, Amir Globerson, 2010, NIPS.

Regularizing Towards Permutation Invariance in Recurrent Models pdf

Amir Globerson, Edo Cohen-Karlik, Avichai Ben David, 2020, NeurIPS.

Extracting Continuous Relevant Features

Gal Chechik, Naftali Tishby, Amir Globerson, 2005 .

Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees

Regina Barzilay, Tommi S. Jaakkola, Amir Globerson, 2014, ACL.

Vanishing Component Analysis

Roi Livni, Shai Shalev-Shwartz, Amir Globerson, 2013, ICML.

Correction for: The minimum information principle and its application to neural code analysis, by Amir Globerson, et al

Naftali Tishby, Amir Globerson, Eran Stark, 2009 .

Tightening LP Relaxations for MAP using Message Passing

Tommi S. Jaakkola, Amir Globerson, Yair Weiss, 2008, UAI.

Learning Infinite Layer Networks Without the Kernel Trick

Roi Livni, Amir Globerson, Daniel Carmon, 2017, ICML.

Selective Sharing for Multilingual Dependency Parsing

Regina Barzilay, Amir Globerson, Tahira Naseem, 2012, ACL.

Over-parameterization Improves Generalization in the XOR Detection Problem pdf

Amir Globerson, Alon Brutzkus, 2018, ArXiv.

Gaussian Robust Classification pdf

Amir Globerson, Ido Ginodi, A. Globerson, 2011, ArXiv.

Improper Deep Kernels

Elad Eban, Roi Livni, Amir Globerson, 2016, AISTATS.

Convergent message passing algorithms - a unifying view

Amir Globerson, Yair Weiss, Talya Meltzer, 2009, UAI.

Learning Object Permanence from Video pdf

Gal Chechik, Amir Globerson, Aviv Shamsian, 2020, ECCV.

Lifted Message Passing as Reparametrization of Graphical Models

Kristian Kersting, Amir Globerson, Martin Mladenov, 2014, UAI.

The Minimum Information Principlein Learning and Neural DataAnalysis

Amir Globerson, A. Globerson, 2005 .

Information Bottleneck for Gaussian Variables

Gal Chechik, Naftali Tishby, Amir Globerson, 2003, J. Mach. Learn. Res..

Learning Infinite-Layer Networks: Beyond the Kernel Trick pdf

Roi Livni, Amir Globerson, A. Globerson, 2016, ArXiv.

Structured Prediction Models via the Matrix-Tree Theorem

Xavier Carreras, Michael Collins, Amir Globerson, 2007, EMNLP.

Introduction to dual composition for inference

Tommi S. Jaakkola, Amir Globerson, David Sontag, 2011 .

Spatio-Temporal Action Graph Networks

Trevor Darrell, Xiaolong Wang, Amir Globerson, 2018, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Few-Shot Question Answering by Pretraining Span Selection pdf

Omer Levy, Jonathan Berant, Amir Globerson, 2021, ArXiv.

A Simple and Effective Model for Answering Multi-span Questions

Jonathan Berant, Amir Globerson, Avia Efrat, 2019, EMNLP.

Pre-training of Mention Representations in Coreference Models

Amir Globerson, Yuval Varkel, A. Globerson, 2020, EMNLP.

Compositional Video Synthesis with Action Graphs pdf

Trevor Darrell, Gal Chechik, Xiaolong Wang, 2020, ArXiv.

Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway

Gal Chechik, Naftali Tishby, Amir Globerson, 2001, NIPS.

Nightmare at test time: robust learning by feature deletion

Amir Globerson, Sam T. Roweis, S. Roweis, 2006, ICML.

The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification

Ben Taskar, Michael Werman, Amir Globerson, 2013, ICML.

Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs pdf

Amir Globerson, Alon Brutzkus, Alon Brutzkus, 2017, ICML.

Learning Latent Scene-Graph Representations for Referring Relationships pdf

Jonathan Berant, Gal Chechik, Amir Globerson, 2019, ArXiv.

Tight Error Bounds for Structured Prediction pdf

Tim Roughgarden, Amir Globerson, David Sontag, 2014, ArXiv.

Discriminative Learning via Semidefinite Probabilistic Models pdf

Koby Crammer, Amir Globerson, 2006, UAI.

Embedding Heterogeneous Data Using Statistical Models

Gal Chechik, Naftali Tishby, Amir Globerson, 2006, AAAI.

Learning the Rules

Amit Daniely, Amir Globerson, Deborah Cohen, 1999, Science.

Sufficient Dimensionality Reduction with Irrelevance Statistics

Gal Chechik, Naftali Tishby, Amir Globerson, 2002, UAI.

Learning and Inference with Expectations

Amir Globerson, A. Globerson, 2017, UAI.

Spectral Regularization for Max-Margin Sequence Tagging

Ariadna Quattoni, Xavier Carreras, Borja Balle, 2014, ICML.

Learning Object Detection from Captions via Textual Scene Attributes pdf

Jonathan Berant, Gal Chechik, Amir Globerson, 2020, ArXiv.

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

Regina Barzilay, Amir Globerson, Tal Schuster, 2019, NAACL.

Discrete Chebyshev Classifiers

Elad Eban, Amir Globerson, Elad Mezuman, 2014, ICML.

Tightness Results for Local Consistency Relaxations in Continuous MRFs

Amir Globerson, Yoav Wald, 2014, UAI.

Learning to Optimize Combinatorial Functions

Eric Balkanski, Amir Globerson, Yaron Singer, 2018, ICML.

Discriminative Learning of Infection Models

Amir Globerson, Nir Rosenfeld, Mor Nitzan, 2016, WSDM.

Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment

Yonatan Belinkov, Regina Barzilay, Amir Globerson, 2014, Transactions of the Association for Computational Linguistics.

Covariance estimation in time varying ARMA processes

Ami Wiesel, Amir Globerson, A. Globerson, 2012, 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM).

Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints

Alexander M. Rush, Michael Collins, Amir Globerson, 2012, EMNLP-CoNLL.

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

Shai Shalev-Shwartz, Amir Globerson, Eran Malach, 2017, ICLR.

How Hard is Inference for Structured Prediction?

Tim Roughgarden, Amir Globerson, David Sontag, 2015, ICML.

Tighter Linear Program Relaxations for High Order Graphical Models pdf

Daniel Tarlow, Amir Globerson, Yair Weiss, 2013, UAI.

What Cannot be Learned with Bethe Approximations

Amir Globerson, Uri Heinemann, 2011, UAI.

Sufficient Dimensionality Reduction - A novel Analysis Method

Naftali Tishby, Amir Globerson, Naftali Tishby, 2002, ICML.

A Simple Geometric Interpretation of SVM using Stochastic Adversaries

Koby Crammer, Roi Livni, Amir Globerson, 2012, AISTATS.

Effective Semisupervised Learning on Manifolds

Roi Livni, Shai Shalev-Shwartz, Amir Globerson, 2017, COLT.

Metric Learning by Collapsing Classes

Amir Globerson, Sam T. Roweis, S. Roweis, 2005, NIPS.

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

Peter L. Bartlett, Xavier Carreras, Michael Collins, 2008, J. Mach. Learn. Res..

The Minimum Information Principle for Discriminative Learning pdf

Naftali Tishby, Amir Globerson, Naftali Tishby, 2004, UAI.

Learning Bayesian Network Structure using LP Relaxations

Tommi S. Jaakkola, Marina Meila, Amir Globerson, 2010, AISTATS.

Collective Entity Resolution with Multi-Focal Attention

Fernando Pereira, Nevena Lazic, Soumen Chakrabarti, 2016, ACL.

Learning Canonical Representations for Scene Graph to Image Generation

Trevor Darrell, Gal Chechik, Amir Globerson, 2020, ECCV.

Approximate inference using conditional entropy decompositions

Tommi S. Jaakkola, Amir Globerson, T. Jaakkola, 2007, AISTATS.

An Alternating Direction Method for Dual MAP LP Relaxation

Ofer Meshi, Amir Globerson, A. Globerson, 2011, ECML/PKDD.

Object-Region Video Transformers pdf

Trevor Darrell, Amir Globerson, Anna Rohrbach, 2021, ArXiv.

BERTese: Learning to Speak to BERT

Jonathan Berant, Amir Globerson, Adi Haviv, 2021, EACL.

On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent

Nathan Srebro, Daniel Soudry, Amir Globerson, 2021, ICML.

Towards Understanding Learning in Neural Networks with Linear Teachers pdf

Amir Globerson, Alon Brutzkus, Roei Sarussi, 2021, ICML.

On the Optimization Landscape of Maximum Mean Discrepancy pdf

Ami Wiesel, Alon Itai, Amir Globerson, 2021, ArXiv.

A Theoretical Analysis of Fine-tuning with Linear Teachers pdf

Amir Globerson, Alon Brutzkus, Gal Shachaf, 2021, NeurIPS.

Few-Shot Question Answering by Pretraining Span Selection pdf

Omer Levy, Jonathan Berant, Amir Globerson, 2021, ACL/IJCNLP.

Compositional Video Synthesis with Action Graphs

Trevor Darrell, Gal Chechik, Xiaolong Wang, 2020, ICML.

Learning to Retrieve Passages without Supervision pdf

Jonathan Berant, Amir Globerson, Ori Ram, 2021, ArXiv.

Explaining in Style: Training a GAN to explain a classifier in StyleSpace pdf

Avinatan Hassidim, William T. Freeman, Michal Irani, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

DETReg: Unsupervised Pretraining with Region Priors for Object Detection pdf

Trevor Darrell, Amir Globerson, Anna Rohrbach, 2021, ArXiv.

Learning Canonical Representations for Scene Graph to Image Generation

Trevor Darrell, Gal Chechik, Amir Globerson, 2019, ECCV.

Gaussian Information Bottleneck 1 Information Bottleneck for Gaussian Variables

Gal Chechik, Amir Globerson, A. Globerson, 2022 .

Correlations between Groups of Premotor Neurons Carry Information about Prehension

Amir Globerson, Eran Stark, Itay Asher, 2008, The Journal of Neuroscience.

Tag-based Multi-Span Extraction in Reading Comprehension pdf

Jonathan Berant, Amir Globerson, Avia Efrat, 2019, ArXiv.