Amir Globerson

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 122

Top Venues

CoRR

ICML

AISTATS

UAI

Publications

Avi Caciularu, Alon Jacovi, Eyal Ben-David, Sasha Goldshtein, Tal Schuster, Jonathan Herzig, Gal Elidan, Amir Globerson
TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools. CoRR (2024)
Roei Herzig, Ofir Abramovich, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data. WACV (2024)
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
The Intelligible and Effective Graph Neural Additive Networks. CoRR (2024)
Eden Biran, Daniela Gottesman, Sohee Yang, Mor Geva, Amir Globerson
Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries. CoRR (2024)
Gilad Yehudai, Haim Kaplan, Asma Ghandeharioun, Mor Geva, Amir Globerson
When Can Transformers Count to n? CoRR (2024)
Alberto Hojel, Yutong Bai, Trevor Darrell, Amir Globerson, Amir Bar
Finding Visual Task Vectors. CoRR (2024)
Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell
EgoPet: Egomotion and Interaction Data from an Animal's Perspective. CoRR (2024)
Nitzan Bitton Guetta, Aviv Slobodkin, Aviya Maimon, Eliya Habba, Royi Rassin, Yonatan Bitton, Idan Szpektor, Amir Globerson, Yuval Elovici
Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models. CoRR (2024)
Adam Fisch, Joshua Maynez, R. Alex Hofer, Bhuwan Dhingra, Amir Globerson, William W. Cohen
Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation. CoRR (2024)
Roi Cohen, Eden Biran, Ori Yoran, Amir Globerson, Mor Geva
Evaluating the Ripple Effects of Knowledge Editing in Language Models. Trans. Assoc. Comput. Linguistics 12 (2024)
Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States. CoRR (2024)
Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes
DeciMamba: Exploring the Length Extrapolation Potential of Mamba. CoRR (2024)
R. Alex Hofer, Joshua Maynez, Bhuwan Dhingra, Adam Fisch, Amir Globerson, William W. Cohen
Bayesian Prediction-Powered Inference. CoRR (2024)
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
TREE-G: Decision Trees Contesting Graph Neural Networks. AAAI (2024)
Naama Rozen, Gal Elidan, Amir Globerson, Ella Daniel
Do LLMs have Consistent Values? CoRR (2024)
Roi Cohen, Mor Geva, Jonathan Berant, Amir Globerson
Crawling The Internal Knowledge-Base of Language Models. EACL (Findings) (2023)
Roi Cohen, May Hamri, Mor Geva, Amir Globerson
LM vs LM: Detecting Factual Errors via Cross Examination. CoRR (2023)
Roi Cohen, May Hamri, Mor Geva, Amir Globerson
LM vs LM: Detecting Factual Errors via Cross Examination. EMNLP (2023)
Roni Rabin, Alexandre Djerbetian, Roee Engelberg, Lidan Hackmon, Gal Elidan, Reut Tsarfaty, Amir Globerson
Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment. ACL (2) (2023)
Amir Bar, Florian Bordes, Assaf Shocher, Mahmoud Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun
Predicting masked tokens in stochastic locations improves masked image modeling. CoRR (2023)
Maya Bechler-Speicher, Ido Amos, Ran Gilad-Bachrach, Amir Globerson
Graph Neural Networks Use Graphs When They Shouldn't. CoRR (2023)
Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. CoRR (2023)
Mor Geva, Jasmijn Bastings, Katja Filippova, Amir Globerson
Dissecting Recall of Factual Associations in Auto-Regressive Language Models. EMNLP (2023)
Roee Hendel, Mor Geva, Amir Globerson
In-Context Learning Creates Task Vectors. CoRR (2023)
Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson
Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs. EMNLP (2023)
Roni Rabin, Alexandre Djerbetian, Roee Engelberg, Lidan Hackmon, Gal Elidan, Reut Tsarfaty, Amir Globerson
Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment. CoRR (2023)
Edo Cohen-Karlik, Itamar Menuhin-Gruman, Raja Giryes, Nadav Cohen, Amir Globerson
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets. ICLR (2023)
Roi Cohen, Eden Biran, Ori Yoran, Amir Globerson, Mor Geva
Evaluating the Ripple Effects of Knowledge Editing in Language Models. CoRR (2023)
Mor Geva, Jasmijn Bastings, Katja Filippova, Amir Globerson
Dissecting Recall of Factual Associations in Auto-Regressive Language Models. CoRR (2023)
Roi Cohen, Mor Geva, Jonathan Berant, Amir Globerson
Crawling the Internal Knowledge-Base of Language Models. CoRR (2023)
Ori Ram, Liat Bezalel, Adi Zicher, Yonatan Belinkov, Jonathan Berant, Amir Globerson
What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary. ACL (1) (2023)
Roee Hendel, Mor Geva, Amir Globerson
In-Context Learning Creates Task Vectors. EMNLP (Findings) (2023)
Edo Cohen-Karlik, Itamar Menuhin-Gruman, Nadav Cohen, Raja Giryes, Amir Globerson
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network. CoRR (2022)
Ori Ram, Liat Bezalel, Adi Zicher, Yonatan Belinkov, Jonathan Berant, Amir Globerson
What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary. CoRR (2022)
Roei Herzig, Ofir Abramovich, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data. CoRR (2022)
David Nukrai, Ron Mokady, Amir Globerson
Text-Only Training for Image Captioning using Noise-Injected CLIP. EMNLP (Findings) (2022)
Gal Yona, Shay Moran, Gal Elidan, Amir Globerson
Active learning with label comparisons. UAI (2022)
Alon Brutzkus, Amir Globerson, Eran Malach, Alon Regev Netser, Shai Shalev-Shwartz
Efficient Learning of CNNs using Patch Based Features. ICML (2022)
Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens. CoRR (2022)
David Nukrai, Ron Mokady, Amir Globerson
Text-Only Training for Image Captioning using Noise-Injected CLIP. CoRR (2022)
Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen, Amir Globerson
On the Implicit Bias of Gradient Descent for Temporal Extrapolation. AISTATS (2022)
Ido Bronstein, Alon Brutzkus, Amir Globerson
On the inductive bias of neural networks for learning read-once DNFs. UAI (2022)
Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen, Amir Globerson
On the Implicit Bias of Gradient Descent for Temporal Extrapolation. CoRR (2022)
Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
DETReg: Unsupervised Pretraining with Region Priors for Object Detection. CVPR (2022)
Gal Yona, Shay Moran, Gal Elidan, Amir Globerson
Active Learning with Label Comparisons. CoRR (2022)
Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
Object-Region Video Transformers. CVPR (2022)
Ori Ram, Gal Shachaf, Omer Levy, Jonathan Berant, Amir Globerson
Learning to Retrieve Passages without Supervision. NAACL-HLT (2022)
Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei A. Efros
Visual Prompting via Image Inpainting. CoRR (2022)
Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei A. Efros
Visual Prompting via Image Inpainting. NeurIPS (2022)
Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens. NeurIPS (2022)
Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
Structured Video Tokens @ Ego4D PNR Temporal Localization Challenge 2022. CoRR (2022)
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
Graph Trees with Attention. CoRR (2022)
Alon Brutzkus, Amir Globerson
An optimization and generalization analysis for max-pooling networks. UAI (2021)
Roei Sarussi, Alon Brutzkus, Amir Globerson
Towards Understanding Learning in Neural Networks with Linear Teachers. CoRR (2021)
Alon Itai, Amir Globerson, Ami Wiesel
On the Optimization Landscape of Maximum Mean Discrepancy. CoRR (2021)
Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
Object-Region Video Transformers. CoRR (2021)
Shahar Azulay, Edward Moroshko, Mor Shpigel Nacson, Blake E. Woodworth, Nathan Srebro, Amir Globerson, Daniel Soudry
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent. CoRR (2021)
Roei Sarussi, Alon Brutzkus, Amir Globerson
Towards Understanding Learning in Neural Networks with Linear Teachers. ICML (2021)
Gal Shachaf, Alon Brutzkus, Amir Globerson
A Theoretical Analysis of Fine-tuning with Linear Teachers. CoRR (2021)
Ori Ram, Yuval Kirstain, Jonathan Berant, Amir Globerson, Omer Levy
Few-Shot Question Answering by Pretraining Span Selection. CoRR (2021)
Ori Ram, Yuval Kirstain, Jonathan Berant, Amir Globerson, Omer Levy
Few-Shot Question Answering by Pretraining Span Selection. ACL/IJCNLP (1) (2021)
Ori Ram, Gal Shachaf, Omer Levy, Jonathan Berant, Amir Globerson
Learning to Retrieve Passages without Supervision. CoRR (2021)
Adi Haviv, Jonathan Berant, Amir Globerson
BERTese: Learning to Speak to BERT. EACL (2021)
Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri
Explaining in Style: Training a GAN to explain a classifier in StyleSpace. CoRR (2021)
Gal Shachaf, Alon Brutzkus, Amir Globerson
A Theoretical Analysis of Fine-tuning with Linear Teachers. NeurIPS (2021)
Shahar Azulay, Edward Moroshko, Mor Shpigel Nacson, Blake E. Woodworth, Nathan Srebro, Amir Globerson, Daniel Soudry
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent. ICML (2021)
Adi Haviv, Jonathan Berant, Amir Globerson
BERTese: Learning to Speak to BERT. CoRR (2021)
Amir Bar, Roei Herzig, Xiaolong Wang, Anna Rohrbach, Gal Chechik, Trevor Darrell, Amir Globerson
Compositional Video Synthesis with Action Graphs. ICML (2021)
Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
DETReg: Unsupervised Pretraining with Region Priors for Object Detection. CoRR (2021)
Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri
Explaining in Style: Training a GAN to explain a classifier in StyleSpace. ICCV (2021)
Amir Bar, Roei Herzig, Xiaolong Wang, Gal Chechik, Trevor Darrell, Amir Globerson
Compositional Video Synthesis with Action Graphs. CoRR (2020)
Edo Cohen-Karlik, Avichai Ben David, Amir Globerson
Regularizing Towards Permutation Invariance In Recurrent Models. NeurIPS (2020)
Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik
Learning Object Permanence from Video. ECCV (16) (2020)
Achiya Jerbi, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson
Learning Object Detection from Captions via Textual Scene Attributes. CoRR (2020)
Elad Segal, Avia Efrat, Mor Shoham, Amir Globerson, Jonathan Berant
A Simple and Effective Model for Answering Multi-span Questions. EMNLP (1) (2020)
Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik
Learning Object Permanence from Video. CoRR (2020)
Moshiko Raboh, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson
Differentiable Scene Graphs. WACV (2020)
Alon Brutzkus, Amir Globerson
On the Inductive Bias of a CNN for Orthogonal Patterns Distributions. CoRR (2020)
Nisan Chiprut, Amir Globerson, Ami Wiesel
Maximin Optimization for Binary Regression. CoRR (2020)
Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson
Learning Canonical Representations for Scene Graph to Image Generation. ECCV (26) (2020)
Roy Mor, Erez Peterfreund, Matan Gavish, Amir Globerson
Optimal Strategies Against Generative Attacks. ICLR (2020)
Yuval Varkel, Amir Globerson
Pre-training Mention Representations in Coreference Models. EMNLP (1) (2020)
Edo Cohen-Karlik, Avichai Ben David, Amir Globerson
Regularizing Towards Permutation Invariance in Recurrent Models. CoRR (2020)
Shahar Azulay, Lior Raz, Amir Globerson, Tomer Koren, Yehuda Afek
Holdout SGD: Byzantine Tolerant Federated Learning. CoRR (2020)
Ben Kantor, Amir Globerson
Coreference Resolution with Entity Equalization. ACL (1) (2019)
Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo, Tomer Wolfson
Explaining Queries Over Web Tables to Non-experts. ICDE (2019)
Roei Herzig, Elad Levi, Huijuan Xu, Hang Gao, Eli Brosh, Xiaolong Wang, Amir Globerson, Trevor Darrell
Spatio-Temporal Action Graph Networks. ICCV Workshops (2019)
Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson
Learning Canonical Representations for Scene Graph to Image Generation. CoRR (2019)
Deborah Cohen, Amit Daniely, Amir Globerson, Gal Elidan
Learning Rules-First Classifiers. AISTATS (2019)
Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing. NAACL-HLT (1) (2019)
Tal Schuster, Ori Ram, Regina Barzilay, Amir Globerson
Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing. CoRR (2019)
Alon Brutzkus, Amir Globerson
Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem. ICML (2019)
Moshiko Raboh, Roei Herzig, Gal Chechik, Jonathan Berant, Amir Globerson
Learning Latent Scene-Graph Representations for Referring Relationships. CoRR (2019)
Nataly Brukhim, Amir Globerson
Predict and Constrain: Modeling Cardinality in Deep Structured Prediction. CoRR (2018)
Nir Rosenfeld, Eric Balkanski, Amir Globerson, Yaron Singer
Learning to Optimize Combinatorial Functions. ICML (2018)
Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, Amir Globerson
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction. CoRR (2018)
Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo, Tomer Wolfson
Explaining Queries over Web Tables to Non-Experts. CoRR (2018)
Roei Herzig, Elad Levi, Huijuan Xu, Eli Brosh, Amir Globerson, Trevor Darrell
Classifying Collisions with Spatio-Temporal Action Graph Networks. CoRR (2018)
Alon Brutzkus, Amir Globerson
Over-parameterization Improves Generalization in the XOR Detection Problem. CoRR (2018)
Alon Brutzkus, Amir Globerson, Eran Malach, Shai Shalev-Shwartz
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data. ICLR (Poster) (2018)

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Publication Activity (10 Years)

Top Topics

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Amir Globerson