Or Sharir

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 25

Top Topics

Transitive Closure

Tensor Analysis

Relational Calculus

Top Venues

ICLR (Workshop)

Publications

Pengrui Han, Rafal Kocielnik, Adhithya Prakash Saravanan, Roy Jiang, Or Sharir, Anima Anandkumar
ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs. CoRR (2024)
Chenghan Li, Or Sharir, Shunyue Yuan, Garnet Kin-Lic Chan
Image Super-resolution Inspired Electron Density Prediction. CoRR (2024)
Or Sharir, Anima Anandkumar
Incrementally-Computable Neural Networks: Efficient Inference for Dynamic Inputs. CoRR (2023)
Or Sharir, Garnet Kin-Lic Chan, Anima Anandkumar
Towards Neural Variational Monte Carlo That Scales Linearly with System Size. CoRR (2022)
Or Sharir, Amnon Shashua, Giuseppe Carleo
Neural tensor contractions and the expressive power of deep neural quantum states. CoRR (2021)
Yoel Zeldes, Dan Padnos, Or Sharir, Barak Peleg
Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation. CoRR (2020)
Yoav Levine, Noam Wies, Or Sharir, Hofit Bata, Amnon Shashua
Limits to Depth Efficiencies of Self-Attention. NeurIPS (2020)
Or Sharir, Barak Peleg, Yoav Shoham
The Cost of Training NLP Models: A Concise Overview. CoRR (2020)
Yoav Levine, Barak Lenz, Or Dagan, Ori Ram, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham
SenseBERT: Driving Some Sense into BERT. ACL (2020)
Yoav Levine, Noam Wies, Or Sharir, Hofit Bata, Amnon Shashua
Limits to Depth Efficiencies of Self-Attention. CoRR (2020)
Yoav Levine, Barak Lenz, Or Dagan, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham
SenseBERT: Driving Some Sense into BERT. CoRR (2019)
Or Sharir, Yoav Levine, Noam Wies, Giuseppe Carleo, Amnon Shashua
Deep autoregressive models for the efficient variational simulation of many-body quantum systems. CoRR (2019)
Or Sharir, Amnon Shashua
On the Expressive Power of Overlapping Architectures of Deep Learning. ICLR (Poster) (2018)
Yoav Levine, Or Sharir, Amnon Shashua
Benefits of Depth for Long-Term Memory of Recurrent Networks. ICLR (Workshop) (2018)
Or Sharir, Amnon Shashua
Sum-Product-Quotient Networks. AISTATS (2018)
Yoav Levine, Or Sharir, Nadav Cohen, Amnon Shashua
Bridging Many-Body Quantum Physics and Deep Learning via Tensor Networks. CoRR (2018)
Nadav Cohen, Or Sharir, Yoav Levine, Ronen Tamari, David Yakira, Amnon Shashua
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions. CoRR (2017)
Yoav Levine, Or Sharir, Amnon Shashua
Benefits of Depth for Long-Term Memory of Recurrent Networks. CoRR (2017)
Or Sharir, Amnon Shashua
Sum-Product-Quotient Networks. CoRR (2017)
Or Sharir, Amnon Shashua
On the Expressive Power of Overlapping Operations of Deep Networks. CoRR (2017)
Nadav Cohen, Or Sharir, Amnon Shashua
Deep SimNets. CVPR (2016)
Nadav Cohen, Or Sharir, Amnon Shashua
On the Expressive Power of Deep Learning: A Tensor Analysis. COLT (2016)
Or Sharir, Ronen Tamari, Nadav Cohen, Amnon Shashua
Tensorial Mixture Models. CoRR (2016)
Nadav Cohen, Or Sharir, Amnon Shashua
Deep SimNets. CoRR (2015)
Nadav Cohen, Or Sharir, Amnon Shashua
On the Expressive Power of Deep Learning: A Tensor Analysis. CoRR (2015)