Or Sharir

According to our database, Or Sharir authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Artificial Expert Intelligence through PAC-reasoning.

Shai Shalev-Shwartz, Amnon Shashua, Gal Beniamini, Yoav Levine, Or Sharir, Noam Wies, Ido Ben-Shaul, Tomer Nussbaum, Shir Granot Peled

CoRR, 2024

Image Super-resolution Inspired Electron Density Prediction.

Chenghan Li, Or Sharir, Shunyue Yuan, Garnet Kin-Lic Chan

CoRR, 2024

ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs.

Pengrui Han, Rafal Kocielnik, Adhithya Prakash Saravanan, Roy Jiang, Or Sharir, Anima Anandkumar

CoRR, 2024

2023

Incrementally-Computable Neural Networks: Efficient Inference for Dynamic Inputs.

Or Sharir, Anima Anandkumar

CoRR, 2023

2022

Towards Neural Variational Monte Carlo That Scales Linearly with System Size.

Or Sharir, Garnet Kin-Lic Chan, Anima Anandkumar

CoRR, 2022

2021

Neural tensor contractions and the expressive power of deep neural quantum states.

Or Sharir, Amnon Shashua, Giuseppe Carleo

CoRR, 2021

2020

Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation.

Yoel Zeldes, Dan Padnos, Or Sharir, Barak Peleg

CoRR, 2020

The Cost of Training NLP Models: A Concise Overview.

Or Sharir, Barak Peleg, Yoav Shoham

CoRR, 2020

Limits to Depth Efficiencies of Self-Attention.

Yoav Levine, Noam Wies, Or Sharir, Hofit Bata, Amnon Shashua

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SenseBERT: Driving Some Sense into BERT.

Yoav Levine, Barak Lenz, Or Dagan, Ori Ram, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

SenseBERT: Driving Some Sense into BERT.

Yoav Levine, Barak Lenz, Or Dagan, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham

CoRR, 2019

Deep autoregressive models for the efficient variational simulation of many-body quantum systems.

Or Sharir, Yoav Levine, Noam Wies, Giuseppe Carleo, Amnon Shashua

CoRR, 2019

2018

Bridging Many-Body Quantum Physics and Deep Learning via Tensor Networks.

Yoav Levine, Or Sharir, Nadav Cohen, Amnon Shashua

CoRR, 2018

On the Expressive Power of Overlapping Architectures of Deep Learning.

Or Sharir, Amnon Shashua

Proceedings of the 6th International Conference on Learning Representations, 2018

Benefits of Depth for Long-Term Memory of Recurrent Networks.

Yoav Levine, Or Sharir, Amnon Shashua

Proceedings of the 6th International Conference on Learning Representations, 2018

Sum-Product-Quotient Networks.

Or Sharir, Amnon Shashua

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

On the Expressive Power of Overlapping Operations of Deep Networks.

Or Sharir, Amnon Shashua

CoRR, 2017

Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions.

Nadav Cohen, Or Sharir, Yoav Levine, Ronen Tamari, David Yakira, Amnon Shashua

CoRR, 2017

2016

Tensorial Mixture Models.

Or Sharir, Ronen Tamari, Nadav Cohen, Amnon Shashua

CoRR, 2016

Deep SimNets.

Nadav Cohen, Or Sharir, Amnon Shashua

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

On the Expressive Power of Deep Learning: A Tensor Analysis.

Nadav Cohen, Or Sharir, Amnon Shashua

Proceedings of the 29th Conference on Learning Theory, 2016