Amir Globerson

225 papers A* 49A 33Journal 98Unranked 45
YearRankTypeTitle / Venue / Authors
2026 — conf
ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders.
EACL (Volume 1: Long Papers)
Ofer Meshi, Krisztian Balog, Sally Goldman, Avi Caciularu, Guy Tennenholtz, Jihwan Jeong, Amir Globerson, Craig Boutilier
2026 J jnl
ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders.
CoRR
Ofer Meshi, Krisztian Balog, Sally Goldman, Avi Caciularu, Guy Tennenholtz, Jihwan Jeong, Amir Globerson, Craig Boutilier
2026 J jnl
Latent Reasoning with Supervised Thinking States.
CoRR
Ido Amos, Avi Caciularu, Mor Geva, Amir Globerson, Jonathan Herzig, Lior Shani, Idan Szpektor
2026 J jnl
Multiple-Prediction-Powered Inference.
CoRR
Charlie Cowen-Breen, Alekh Agarwal, Stephen Bates, William W. Cohen, Jacob Eisenstein, Amir Globerson, Adam Fisch
2025 A* conf
DeciMamba: Exploring the Length Extrapolation Potential of Mamba.
ICLR
Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes
2025 J jnl
Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers.
CoRR
Gilad Yehudai, Clayton Sanford, Maya Bechler-Speicher, Orr Fischer, Ran Gilad-Bachrach, Amir Globerson
2025 A* conf
Do LLMs have Consistent Values?
ICLR
Naama Rozen, Liat Bezalel, Gal Elidan, Amir Globerson, Ella Daniel
2025 J jnl
Fast Inference via Hierarchical Speculative Decoding.
CoRR
Clara Mohri, Haim Kaplan, Tal Schuster, Yishay Mansour, Amir Globerson
2025 J jnl
On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach.
CoRR
Edo Cohen-Karlik, Itamar Zimerman, Liane Galanti, Ido Atad, Amir Globerson, Lior Wolf
2025 A* conf
Teaching Models to Improve on Tape.
AAAI
Liat Bezalel, Eyal Orgad, Amir Globerson
2025 J jnl
The FACTS Leaderboard: A Comprehensive Benchmark for Large Language Model Factuality.
CoRR
Aileen Cheng, Alon Jacovi, Amir Globerson, Ben Golan, Charles Kwong, Chris Alberti, Connie Tao, Eyal Ben-David, Gaurav Singh Tomar, Lukas Haas, Yonatan Bitton, Adam Bloniarz, Aijun Bai, Andrew Wang, Anfal Siddiqui, Arturo Bajuelos Castillo, Aviel Atias, Chang Liu, Corey Fry, Daniel Balle, Deepanway Ghosal, Doron Kukliansky, Dror Marcus, Elena Gribovskaya, Eran Ofek, Honglei Zhuang, Itay Laish, Jan Ackermann, Lily Wang, Meg Risdal, Megan Barnes, Michael Fink, Mohamed Amin, Moran Ambar, Natan Potikha, Nikita Gupta, Nitzan Katz, Noam Velan, Ofir Roval, Ori Ram, Polina Zablotskaia, Prathamesh Bang, Priyanka Agrawal, Rakesh Ghiya, Sanjay Ganapathy, Simon Baumgartner, Sofia Erell, Sushant Prakash, Thibault Sellam, Vikram Rao, Xuanhui Wang, Yaroslav Akulov, Yulong Yang, Zhen Yang, Zhixin Lai, Zhongru Wu, Anca Dragan, Avinatan Hassidim, Fernando Pereira, Slav Petrov, Srinivasan Venkatachary, Tulsee Doshi, Yossi Matias, Sasha Goldshtein, Dipanjan Das
2025 J jnl
Towards Invariance to Node Identifiers in Graph Neural Networks.
CoRR
Maya Bechler-Speicher, Moshe Eliasof, Carola-Bibiane Schönlieb, Ran Gilad-Bachrach, Amir Globerson
2024 J jnl
Bayesian Prediction-Powered Inference.
CoRR
R. Alex Hofer, Joshua Maynez, Bhuwan Dhingra, Adam Fisch, Amir Globerson, William W. Cohen
2024 J jnl
DeciMamba: Exploring the Length Extrapolation Potential of Mamba.
CoRR
Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes
2024 J jnl
Do LLMs have Consistent Values?
CoRR
Naama Rozen, Gal Elidan, Amir Globerson, Ella Daniel
2024 — conf
EgoPet: Egomotion and Interaction Data from an Animal's Perspective.
ECCV (37)
Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell
2024 J jnl
EgoPet: Egomotion and Interaction Data from an Animal's Perspective.
CoRR
Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell
2024 J jnl
Evaluating the Ripple Effects of Knowledge Editing in Language Models.
Trans. Assoc. Comput. Linguistics
Roi Cohen, Eden Biran, Ori Yoran, Amir Globerson, Mor Geva
2024 — conf
Finding Visual Task Vectors.
ECCV (43)
Alberto Hojel, Yutong Bai, Trevor Darrell, Amir Globerson, Amir Bar
2024 J jnl
Finding Visual Task Vectors.
CoRR
Alberto Hojel, Yutong Bai, Trevor Darrell, Amir Globerson, Amir Bar
2024 A* conf
Graph Neural Networks Use Graphs When They Shouldn't.
ICML
Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach, Amir Globerson
2024 A* conf
Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries.
EMNLP
Eden Biran, Daniela Gottesman, Sohee Yang, Mor Geva, Amir Globerson
2024 J jnl
Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries.
CoRR
Eden Biran, Daniela Gottesman, Sohee Yang, Mor Geva, Amir Globerson
2024 A* conf
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States.
ICML
Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
2024 J jnl
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States.
CoRR
Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
2024 J jnl
On the Utilization of Unique Node Identifiers in Graph Neural Networks.
CoRR
Maya Bechler-Speicher, Moshe Eliasof, Carola-Bibiane Schönlieb, Ran Gilad-Bachrach, Amir Globerson
2024 A conf
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data.
WACV
Roei Herzig, Ofir Abramovich, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson
2024 A* conf
Provable Benefits of Complex Parameterizations for Structured State Space Models.
NeurIPS
Yuval Ran-Milo, Eden Lumbroso, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
2024 J jnl
Provable Benefits of Complex Parameterizations for Structured State Space Models.
CoRR
Yuval Ran-Milo, Eden Lumbroso, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
2024 A* conf
Stochastic positional embeddings improve masked image modeling.
ICML
Amir Bar, Florian Bordes, Assaf Shocher, Mido Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun
2024 A* conf
Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models.
NeurIPS
Adam Fisch, Joshua Maynez, R. Alex Hofer, Bhuwan Dhingra, Amir Globerson, William W. Cohen
2024 J jnl
Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation.
CoRR
Adam Fisch, Joshua Maynez, R. Alex Hofer, Bhuwan Dhingra, Amir Globerson, William W. Cohen
2024 A* conf
TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools.
NeurIPS
Avi Caciularu, Alon Jacovi, Eyal Ben-David, Sasha Goldshtein, Tal Schuster, Jonathan Herzig, Gal Elidan, Amir Globerson
2024 J jnl
TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools.
CoRR
Avi Caciularu, Alon Jacovi, Eyal Ben-David, Sasha Goldshtein, Tal Schuster, Jonathan Herzig, Gal Elidan, Amir Globerson
2024 A* conf
TREE-G: Decision Trees Contesting Graph Neural Networks.
AAAI
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
2024 J jnl
Teaching Models to Improve on Tape.
CoRR
Liat Bezalel, Eyal Orgad, Amir Globerson
2024 A* conf
The Intelligible and Effective Graph Neural Additive Network.
NeurIPS
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
2024 J jnl
The Intelligible and Effective Graph Neural Additive Networks.
CoRR
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
2024 A* conf
Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models.
NeurIPS
Nitzan Bitton Guetta, Aviv Slobodkin, Aviya Maimon, Eliya Habba, Royi Rassin, Yonatan Bitton, Idan Szpektor, Amir Globerson, Yuval Elovici
2024 J jnl
Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models.
CoRR
Nitzan Bitton Guetta, Aviv Slobodkin, Aviya Maimon, Eliya Habba, Royi Rassin, Yonatan Bitton, Idan Szpektor, Amir Globerson, Yuval Elovici
2024 J jnl
When Can Transformers Count to n?
CoRR
Gilad Yehudai, Haim Kaplan, Asma Ghandeharioun, Mor Geva, Amir Globerson
2023 A* ed.
Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023.
NeurIPS
Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine
2023 — conf
Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment.
ACL (2)
Roni Rabin, Alexandre Djerbetian, Roee Engelberg, Lidan Hackmon, Gal Elidan, Reut Tsarfaty, Amir Globerson
2023 J jnl
Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment.
CoRR
Roni Rabin, Alexandre Djerbetian, Roee Engelberg, Lidan Hackmon, Gal Elidan, Reut Tsarfaty, Amir Globerson
2023 — conf
Crawling The Internal Knowledge-Base of Language Models.
EACL (Findings)
Roi Cohen, Mor Geva, Jonathan Berant, Amir Globerson
2023 J jnl
Crawling the Internal Knowledge-Base of Language Models.
CoRR
Roi Cohen, Mor Geva, Jonathan Berant, Amir Globerson
2023 A* conf
Dissecting Recall of Factual Associations in Auto-Regressive Language Models.
EMNLP
Mor Geva, Jasmijn Bastings, Katja Filippova, Amir Globerson
2023 J jnl
Dissecting Recall of Factual Associations in Auto-Regressive Language Models.
CoRR
Mor Geva, Jasmijn Bastings, Katja Filippova, Amir Globerson
2023 J jnl
Evaluating the Ripple Effects of Knowledge Editing in Language Models.
CoRR
Roi Cohen, Eden Biran, Ori Yoran, Amir Globerson, Mor Geva
2023 J jnl
Graph Neural Networks Use Graphs When They Shouldn't.
CoRR
Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach, Amir Globerson
2023 — conf
In-Context Learning Creates Task Vectors.
EMNLP (Findings)
Roee Hendel, Mor Geva, Amir Globerson
2023 J jnl
In-Context Learning Creates Task Vectors.
CoRR
Roee Hendel, Mor Geva, Amir Globerson
2023 A* conf
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs.
EMNLP
Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson
2023 J jnl
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs.
CoRR
Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson
2023 A* conf
LM vs LM: Detecting Factual Errors via Cross Examination.
EMNLP
Roi Cohen, May Hamri, Mor Geva, Amir Globerson
2023 J jnl
LM vs LM: Detecting Factual Errors via Cross Examination.
CoRR
Roi Cohen, May Hamri, Mor Geva, Amir Globerson
2023 A* conf
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets.
ICLR
Edo Cohen-Karlik, Itamar Menuhin-Gruman, Raja Giryes, Nadav Cohen, Amir Globerson
2023 J jnl
Predicting masked tokens in stochastic locations improves masked image modeling.
CoRR
Amir Bar, Florian Bordes, Assaf Shocher, Mahmoud Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun
2023 — conf
What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary.
ACL (1)
Ori Ram, Liat Bezalel, Adi Zicher, Yonatan Belinkov, Jonathan Berant, Amir Globerson
2022 J jnl
Active Learning with Label Comparisons.
CoRR
Gal Yona, Shay Moran, Gal Elidan, Amir Globerson
2022 A conf
Active learning with label comparisons.
UAI
Gal Yona, Shay Moran, Gal Elidan, Amir Globerson
2022 A* conf
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens.
NeurIPS
Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
2022 J jnl
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens.
CoRR
Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
2022 A* conf
DETReg: Unsupervised Pretraining with Region Priors for Object Detection.
CVPR
Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
2022 A* conf
Efficient Learning of CNNs using Patch Based Features.
ICML
Alon Brutzkus, Amir Globerson, Eran Malach, Alon Regev Netser, Shai Shalev-Shwartz
2022 J jnl
Graph Trees with Attention.
CoRR
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
2022 J jnl
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network.
CoRR
Edo Cohen-Karlik, Itamar Menuhin-Gruman, Nadav Cohen, Raja Giryes, Amir Globerson
2022 — conf
Learning to Retrieve Passages without Supervision.
NAACL-HLT
Ori Ram, Gal Shachaf, Omer Levy, Jonathan Berant, Amir Globerson
2022 A* conf
Object-Region Video Transformers.
CVPR
Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
2022 A conf
On the Implicit Bias of Gradient Descent for Temporal Extrapolation.
AISTATS
Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen, Amir Globerson
2022 J jnl
On the Implicit Bias of Gradient Descent for Temporal Extrapolation.
CoRR
Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen, Amir Globerson
2022 A conf
On the inductive bias of neural networks for learning read-once DNFs.
UAI
Ido Bronstein, Alon Brutzkus, Amir Globerson
2022 J jnl
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data.
CoRR
Roei Herzig, Ofir Abramovich, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson
2022 J jnl
Structured Video Tokens @ Ego4D PNR Temporal Localization Challenge 2022.
CoRR
Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
2022 — conf
Text-Only Training for Image Captioning using Noise-Injected CLIP.
EMNLP (Findings)
David Nukrai, Ron Mokady, Amir Globerson
2022 J jnl
Text-Only Training for Image Captioning using Noise-Injected CLIP.
CoRR
David Nukrai, Ron Mokady, Amir Globerson
2022 A* conf
Visual Prompting via Image Inpainting.
NeurIPS
Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei A. Efros
2022 J jnl
Visual Prompting via Image Inpainting.
CoRR
Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei A. Efros
2022 J jnl
What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary.
CoRR
Ori Ram, Liat Bezalel, Adi Zicher, Yonatan Belinkov, Jonathan Berant, Amir Globerson
2021 A* conf
A Theoretical Analysis of Fine-tuning with Linear Teachers.
NeurIPS
Gal Shachaf, Alon Brutzkus, Amir Globerson
2021 J jnl
A Theoretical Analysis of Fine-tuning with Linear Teachers.
CoRR
Gal Shachaf, Alon Brutzkus, Amir Globerson
2021 A conf
An optimization and generalization analysis for max-pooling networks.
UAI
Alon Brutzkus, Amir Globerson
2021 A conf
BERTese: Learning to Speak to BERT.
EACL
Adi Haviv, Jonathan Berant, Amir Globerson
2021 J jnl
BERTese: Learning to Speak to BERT.
CoRR
Adi Haviv, Jonathan Berant, Amir Globerson
2021 A* conf
Compositional Video Synthesis with Action Graphs.
ICML
Amir Bar, Roei Herzig, Xiaolong Wang, Anna Rohrbach, Gal Chechik, Trevor Darrell, Amir Globerson
2021 J jnl
DETReg: Unsupervised Pretraining with Region Priors for Object Detection.
CoRR
Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
2021 A* conf
Explaining in Style: Training a GAN to explain a classifier in StyleSpace.
ICCV
Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri
2021 J jnl
Explaining in Style: Training a GAN to explain a classifier in StyleSpace.
CoRR
Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri
2021 — conf
Few-Shot Question Answering by Pretraining Span Selection.
ACL/IJCNLP (1)
Ori Ram, Yuval Kirstain, Jonathan Berant, Amir Globerson, Omer Levy
2021 J jnl
Few-Shot Question Answering by Pretraining Span Selection.
CoRR
Ori Ram, Yuval Kirstain, Jonathan Berant, Amir Globerson, Omer Levy
2021 J jnl
Learning to Retrieve Passages without Supervision.
CoRR
Ori Ram, Gal Shachaf, Omer Levy, Jonathan Berant, Amir Globerson
2021 J jnl
Object-Region Video Transformers.
CoRR
Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
2021 A* conf
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent.
ICML
Shahar Azulay, Edward Moroshko, Mor Shpigel Nacson, Blake E. Woodworth, Nathan Srebro, Amir Globerson, Daniel Soudry
2021 J jnl
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent.
CoRR
Shahar Azulay, Edward Moroshko, Mor Shpigel Nacson, Blake E. Woodworth, Nathan Srebro, Amir Globerson, Daniel Soudry
2021 J jnl
On the Optimization Landscape of Maximum Mean Discrepancy.
CoRR
Alon Itai, Amir Globerson, Ami Wiesel
2021 A* conf
Towards Understanding Learning in Neural Networks with Linear Teachers.
ICML
Roei Sarussi, Alon Brutzkus, Amir Globerson
2021 J jnl
Towards Understanding Learning in Neural Networks with Linear Teachers.
CoRR
Roei Sarussi, Alon Brutzkus, Amir Globerson
2020 — conf
A Simple and Effective Model for Answering Multi-span Questions.
EMNLP (1)
Elad Segal, Avia Efrat, Mor Shoham, Amir Globerson, Jonathan Berant
2020 J jnl
Compositional Video Synthesis with Action Graphs.
CoRR
Amir Bar, Roei Herzig, Xiaolong Wang, Gal Chechik, Trevor Darrell, Amir Globerson
2020 A conf
Differentiable Scene Graphs.
WACV
Moshiko Raboh, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson
2020 J jnl
Holdout SGD: Byzantine Tolerant Federated Learning.
CoRR
Shahar Azulay, Lior Raz, Amir Globerson, Tomer Koren, Yehuda Afek
2020 — conf
Learning Canonical Representations for Scene Graph to Image Generation.
ECCV (26)
Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson
2020 J jnl
Learning Object Detection from Captions via Textual Scene Attributes.
CoRR
Achiya Jerbi, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson
2020 — conf
Learning Object Permanence from Video.
ECCV (16)
Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik
2020 J jnl
Learning Object Permanence from Video.
CoRR
Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik
2020 J jnl
Maximin Optimization for Binary Regression.
CoRR
Nisan Chiprut, Amir Globerson, Ami Wiesel
2020 J jnl
On the Inductive Bias of a CNN for Orthogonal Patterns Distributions.
CoRR
Alon Brutzkus, Amir Globerson
2020 A* conf
Optimal Strategies Against Generative Attacks.
ICLR
Roy Mor, Erez Peterfreund, Matan Gavish, Amir Globerson
2020 — conf
Pre-training Mention Representations in Coreference Models.
EMNLP (1)
Yuval Varkel, Amir Globerson
2020 A* conf
Regularizing Towards Permutation Invariance In Recurrent Models.
NeurIPS
Edo Cohen-Karlik, Avichai Ben David, Amir Globerson
2020 J jnl
Regularizing Towards Permutation Invariance in Recurrent Models.
CoRR
Edo Cohen-Karlik, Avichai Ben David, Amir Globerson
2019 — conf
Coreference Resolution with Entity Equalization.
ACL (1)
Ben Kantor, Amir Globerson
2019 — conf
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing.
NAACL-HLT (1)
Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson
2019 J jnl
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing.
CoRR
Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson
2019 A* conf
Explaining Queries Over Web Tables to Non-experts.
ICDE
Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo, Tomer Wolfson
2019 J jnl
Learning Canonical Representations for Scene Graph to Image Generation.
CoRR
Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson
2019 J jnl
Learning Latent Scene-Graph Representations for Referring Relationships.
CoRR
Moshiko Raboh, Roei Herzig, Gal Chechik, Jonathan Berant, Amir Globerson
2019 A conf
Learning Rules-First Classifiers.
AISTATS
Deborah Cohen, Amit Daniely, Amir Globerson, Gal Elidan
2019 A ed.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, UAI 2019, Tel Aviv, Israel, July 22-25, 2019
UAI
Amir Globerson, Ricardo Silva
2019 — conf
Spatio-Temporal Action Graph Networks.
ICCV Workshops
Roei Herzig, Elad Levi, Huijuan Xu, Hang Gao, Eli Brosh, Xiaolong Wang, Amir Globerson, Trevor Darrell
2019 A* conf
Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem.
ICML
Alon Brutzkus, Amir Globerson
2018 J jnl
Classifying Collisions with Spatio-Temporal Action Graph Networks.
CoRR
Roei Herzig, Elad Levi, Huijuan Xu, Eli Brosh, Amir Globerson, Trevor Darrell
2018 J jnl
Explaining Queries over Web Tables to Non-Experts.
CoRR
Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo, Tomer Wolfson
2018 A* conf
Learning to Optimize Combinatorial Functions.
ICML
Nir Rosenfeld, Eric Balkanski, Amir Globerson, Yaron Singer
2018 J jnl
Learning with Rules.
CoRR
Deborah Cohen, Amit Daniely, Amir Globerson, Gal Elidan
2018 A* conf
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction.
NeurIPS
Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, Amir Globerson
2018 J jnl
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction.
CoRR
Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, Amir Globerson
2018 J jnl
Over-parameterization Improves Generalization in the XOR Detection Problem.
CoRR
Alon Brutzkus, Amir Globerson
2018 A* conf
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction.
ICML
Nataly Brukhim, Amir Globerson
2018 J jnl
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction.
CoRR
Nataly Brukhim, Amir Globerson
2018 A ed.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018, Monterey, California, USA, August 6-10, 2018
UAI
Amir Globerson, Ricardo Silva
2018 — conf
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data.
ICLR (Poster)
Alon Brutzkus, Amir Globerson, Eran Malach, Shai Shalev-Shwartz
2018 A conf
Semi-Supervised Learning with Competitive Infection Models.
AISTATS
Nir Rosenfeld, Amir Globerson
2018 — conf
Weakly Supervised Semantic Parsing with Abstract Examples.
ACL (1)
Omer Goldman, Veronica Latcinnik, Ehud Nave, Amir Globerson, Jonathan Berant
2017 A* conf
Effective Semisupervised Learning on Manifolds.
COLT
Amir Globerson, Roi Livni, Shai Shalev-Shwartz
2017 A* conf
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs.
ICML
Alon Brutzkus, Amir Globerson
2017 J jnl
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs.
CoRR
Alon Brutzkus, Amir Globerson
2017 A* conf
Learning Infinite Layer Networks Without the Kernel Trick.
ICML
Roi Livni, Daniel Carmon, Amir Globerson
2017 A conf
Learning and Inference with Expectations.
UAI
Amir Globerson
2017 — conf
Robust Conditional Probabilities.
NIPS
Yoav Wald, Amir Globerson
2017 J jnl
Robust Conditional Probabilities.
CoRR
Yoav Wald, Amir Globerson
2017 J jnl
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data.
CoRR
Alon Brutzkus, Amir Globerson, Eran Malach, Shai Shalev-Shwartz
2017 J jnl
Semi-Supervised Learning with Competitive Infection Models.
CoRR
Nir Rosenfeld, Amir Globerson
2017 J jnl
Weakly-supervised Semantic Parsing with Abstract Examples.
CoRR
Omer Goldman, Veronica Latcinnik, Udi Naveh, Amir Globerson, Jonathan Berant
2016 — conf
Collective Entity Resolution with Multi-Focal Attention.
ACL (1)
Amir Globerson, Nevena Lazic, Soumen Chakrabarti, Amarnag Subramanya, Michael Ringgaard, Fernando Pereira
2016 A conf
Discriminative Learning of Infection Models.
WSDM
Nir Rosenfeld, Mor Nitzan, Amir Globerson
2016 A conf
Improper Deep Kernels.
AISTATS
Uri Heinemann, Roi Livni, Elad Eban, Gal Elidan, Amir Globerson
2016 J jnl
Learning Infinite-Layer Networks: Beyond the Kernel Trick.
CoRR
Amir Globerson, Roi Livni
2016 J jnl
Learning to generalize to new compositions in image understanding.
CoRR
Yuval Atzmon, Jonathan Berant, Vahid Kezami, Amir Globerson, Gal Chechik
2016 — conf
Optimal Tagging with Markov Chain Optimization.
NIPS
Nir Rosenfeld, Amir Globerson
2016 J jnl
Optimal Tagging with Markov Chain Optimization.
CoRR
Nir Rosenfeld, Amir Globerson
2015 J jnl
Erratum: "Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment".
Trans. Assoc. Comput. Linguistics
Yonatan Belinkov, Tao Lei, Regina Barzilay, Amir Globerson
2015 A* conf
How Hard is Inference for Structured Prediction?
ICML
Amir Globerson, Tim Roughgarden, David A. Sontag, Cafer Yildirim
2015 — conf
Template Kernels for Dependency Parsing.
HLT-NAACL
Hillel Taub-Tabib, Yoav Goldberg, Amir Globerson
2014 A* conf
Discrete Chebyshev Classifiers.
ICML
Elad Eban, Elad Mezuman, Amir Globerson
2014 A conf
Efficient Lifting of MAP LP Relaxations Using k-Locality.
AISTATS
Martin Mladenov, Kristian Kersting, Amir Globerson
2014 J jnl
Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment.
Trans. Assoc. Comput. Linguistics
Yonatan Belinkov, Tao Lei, Regina Barzilay, Amir Globerson
2014 A* conf
Inferning with High Girth Graphical Models.
ICML
Uri Heinemann, Amir Globerson
2014 A conf
Learning Structured Models with the AUC Loss and Its Generalizations.
AISTATS
Nir Rosenfeld, Ofer Meshi, Daniel Tarlow, Amir Globerson
2014 A conf
Lifted Message Passing as Reparametrization of Graphical Models.
UAI
Martin Mladenov, Amir Globerson, Kristian Kersting
2014 A* conf
Spectral Regularization for Max-Margin Sequence Tagging.
ICML
Ariadna Quattoni, Borja Balle, Xavier Carreras, Amir Globerson
2014 — conf
Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees.
ACL (1)
Yuan Zhang, Tao Lei, Regina Barzilay, Tommi S. Jaakkola, Amir Globerson
2014 J jnl
Tight Error Bounds for Structured Prediction.
CoRR
Amir Globerson, Tim Roughgarden, David A. Sontag, Cafer Yildirim
2014 A conf
Tightness Results for Local Consistency Relaxations in Continuous MRFs.
UAI
Yoav Wald, Amir Globerson
2013 A* conf
Higher Order Matching for Consistent Multiple Target Tracking.
ICCV
Chetan Arora, Amir Globerson
2013 A conf
Learning Max-Margin Tree Predictors.
UAI
Ofer Meshi, Elad Eban, Gal Elidan, Amir Globerson
2013 J jnl
Learning Max-Margin Tree Predictors.
CoRR
Ofer Meshi, Elad Eban, Gal Elidan, Amir Globerson
2013 — conf
The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification.
ICML (1)
Ofir Pele, Ben Taskar, Amir Globerson, Michael Werman
2013 A conf
Tighter Linear Program Relaxations for High Order Graphical Models.
UAI
Elad Mezuman, Daniel Tarlow, Amir Globerson, Yair Weiss
2013 J jnl
Tighter Linear Program Relaxations for High Order Graphical Models.
CoRR
Elad Mezuman, Daniel Tarlow, Amir Globerson, Yair Weiss
2013 J jnl
Time Varying Autoregressive Moving Average Models for Covariance Estimation.
IEEE Trans. Signal Process.
Ami Wiesel, Ofir Bibi, Amir Globerson
2013 — conf
Transfer Learning for Constituency-Based Grammars.
ACL (1)
Yuan Zhang, Regina Barzilay, Amir Globerson
2013 — conf
Vanishing Component Analysis.
ICML (1)
Roi Livni, David Lehavi, Sagi Schein, Hila Nachlieli, Shai Shalev-Shwartz, Amir Globerson
2012 A conf
A Simple Geometric Interpretation of SVM using Stochastic Adversaries.
AISTATS
Roi Livni, Koby Crammer, Amir Globerson
2012 — conf
Convergence Rate Analysis of MAP Coordinate Minimization Algorithms.
NIPS
Ofer Meshi, Tommi S. Jaakkola, Amir Globerson
2012 J jnl
Convergent Propagation Algorithms via Oriented Trees
CoRR
Amir Globerson, Tommi S. Jaakkola
2012 J jnl
Convergent message passing algorithms - a unifying view
CoRR
Talya Meltzer, Amir Globerson, Yair Weiss
2012 J jnl
Convexifying the Bethe Free Energy
CoRR
Ofer Meshi, Ariel Jaimovich, Amir Globerson, Nir Friedman
2012 — conf
Covariance estimation in time varying ARMA processes.
SAM
Ami Wiesel, Amir Globerson
2012 J jnl
Discriminative Learning via Semidefinite Probabilistic Models.
CoRR
Koby Crammer, Amir Globerson
2012 — conf
Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints.
EMNLP-CoNLL
Alexander M. Rush, Roi Reichart, Michael Collins, Amir Globerson
2012 J jnl
Learning the Experts for Online Sequence Prediction
CoRR
Elad Eban, Aharon Birnbaum, Shai Shalev-Shwartz, Amir Globerson
2012 A* conf
Learning the Experts for Online Sequence Prediction.
ICML
Elad Eban, Aharon Birnbaum, Shai Shalev-Shwartz, Amir Globerson
2012 — conf
Learning to Map into a Universal POS Tagset.
EMNLP-CoNLL
Yuan Zhang, Roi Reichart, Regina Barzilay, Amir Globerson
2012 — conf
Selective Sharing for Multilingual Dependency Parsing.
ACL (1)
Tahira Naseem, Regina Barzilay, Amir Globerson
2012 J jnl
Sufficient Dimensionality Reduction with Irrelevant Statistics
CoRR
Amir Globerson, Gal Chechik, Naftali Tishby
2012 J jnl
The Minimum Information Principle for Discriminative Learning
CoRR
Amir Globerson, Naftali Tishby
2012 J jnl
Tightening LP Relaxations for MAP using Message Passing
CoRR
David A. Sontag, Talya Meltzer, Amir Globerson, Tommi S. Jaakkola, Yair Weiss
2012 J jnl
What Cannot be Learned with Bethe Approximations
CoRR
Uri Heinemann, Amir Globerson
2011 — conf
An Alternating Direction Method for Dual MAP LP Relaxation.
ECML/PKDD (2)
Ofer Meshi, Amir Globerson
2011 J jnl
Gaussian Robust Classification
CoRR
Ido Ginodi, Amir Globerson
2011 A conf
What Cannot be Learned with Bethe Approximations.
UAI
Uri Heinemann, Amir Globerson
2010 A conf
Learning Bayesian Network Structure using LP Relaxations.
AISTATS
Tommi S. Jaakkola, David A. Sontag, Amir Globerson, Marina Meila
2010 A* conf
Learning Efficiently with Approximate Inference via Dual Losses.
ICML
Ofer Meshi, David A. Sontag, Tommi S. Jaakkola, Amir Globerson
2010 — conf
More data means less inference: A pseudo-max approach to structured learning.
NIPS
David A. Sontag, Ofer Meshi, Tommi S. Jaakkola, Amir Globerson
2009 — conf
An LP View of the M-best MAP problem.
NIPS
Menachem Fromer, Amir Globerson
2009 A conf
Convergent message passing algorithms - a unifying view.
UAI
Talya Meltzer, Amir Globerson, Yair Weiss
2009 A conf
Convexifying the Bethe Free Energy.
UAI
Ofer Meshi, Ariel Jaimovich, Amir Globerson, Nir Friedman
2009 J jnl
The minimum information principle and its application to neural code analysis.
Proc. Natl. Acad. Sci. USA
Amir Globerson, Eran Stark, Eilon Vaadia, Naftali Tishby
2008 — conf
Clusters and Coarse Partitions in LP Relaxations.
NIPS
David A. Sontag, Amir Globerson, Tommi S. Jaakkola
2008 J jnl
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks.
J. Mach. Learn. Res.
Michael Collins, Amir Globerson, Terry Koo, Xavier Carreras, Peter L. Bartlett
2008 A conf
Tightening LP Relaxations for MAP using Message Passing.
UAI
David A. Sontag, Talya Meltzer, Amir Globerson, Tommi S. Jaakkola, Yair Weiss
2007 A conf
Approximate inference using conditional entropy decompositions.
AISTATS
Amir Globerson, Tommi S. Jaakkola
2007 A conf
Convergent Propagation Algorithms via Oriented Trees.
UAI
Amir Globerson, Tommi S. Jaakkola
2007 — conf
Convex Learning with Invariances.
NIPS
Choon Hui Teo, Amir Globerson, Sam T. Roweis, Alexander J. Smola
2007 J jnl
Euclidean Embedding of Co-occurrence Data.
J. Mach. Learn. Res.
Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby
2007 A* conf
Exponentiated gradient algorithms for log-linear structured prediction.
ICML
Amir Globerson, Terry Koo, Xavier Carreras, Michael Collins
2007 — conf
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations.
NIPS
Amir Globerson, Tommi S. Jaakkola
2007 — conf
Structured Prediction Models via the Matrix-Tree Theorem.
EMNLP-CoNLL
Terry Koo, Amir Globerson, Xavier Carreras, Michael Collins
2007 A conf
Visualizing pairwise similarity via semidefinite programming.
AISTATS
Amir Globerson, Sam T. Roweis
2006 — conf
Approximate inference using planar graph decomposition.
NIPS
Amir Globerson, Tommi S. Jaakkola
2006 A conf
Discriminative Learning via Semidefinite Probabilistic Models.
UAI
Koby Crammer, Amir Globerson
2006 A* conf
Embedding Heterogeneous Data Using Statistical Models.
AAAI
Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby
2006 A* conf
Nightmare at test time: robust learning by feature deletion.
ICML
Amir Globerson, Sam T. Roweis
2005 A conf
Distributed Latent Variable Models of Lexical Co-occurrences.
AISTATS
John Blitzer, Amir Globerson, Fernando Pereira
2005 J jnl
Information Bottleneck for Gaussian Variables.
J. Mach. Learn. Res.
Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss
2005 — conf
Metric Learning by Collapsing Classes.
NIPS
Amir Globerson, Sam T. Roweis
2004 — conf
Euclidean Embedding of Co-Occurrence Data.
NIPS
Amir Globerson, Gal Chechik, Fernando C. N. Pereira, Naftali Tishby
2004 A conf
The Minimum Information Principle for Discriminative Learning.
UAI
Amir Globerson, Naftali Tishby
2003 — conf
Information Bottleneck for Gaussian Variables.
NIPS
Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss
2003 A conf
Sufficient Dimensionality Reduction with Irrelevance Statistics.
UAI
Amir Globerson, Gal Chechik, Naftali Tishby
2003 J jnl
Sufficient Dimensionality Reduction.
J. Mach. Learn. Res.
Amir Globerson, Naftali Tishby
2002 — conf
Most Informative Dimension Reduction.
AAAI/IAAI
Amir Globerson, Naftali Tishby
2002 A* conf
Sufficient Dimensionality Reduction - A novel Analysis Method.
ICML
Amir Globerson, Naftali Tishby
2001 — conf
Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway.
NIPS
Gal Chechik, Amir Globerson, Michael J. Anderson, Eric D. Young, Israel Nelken, Naftali Tishby