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2020 – today
- 2024
[i18]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 abs/2402.11764 (2024)- [i17]Chenghan Li, Or Sharir, Shunyue Yuan, Garnet Kin-Lic Chan:
Image Super-resolution Inspired Electron Density Prediction. CoRR abs/2402.12335 (2024) - 2023
- [i16]Or Sharir, Anima Anandkumar:
Incrementally-Computable Neural Networks: Efficient Inference for Dynamic Inputs. CoRR abs/2307.14988 (2023) - 2022
- [i15]Or Sharir, Garnet Kin-Lic Chan, Anima Anandkumar:
Towards Neural Variational Monte Carlo That Scales Linearly with System Size. CoRR abs/2212.11296 (2022) - 2021
- [i14]Or Sharir, Amnon Shashua, Giuseppe Carleo:
Neural tensor contractions and the expressive power of deep neural quantum states. CoRR abs/2103.10293 (2021) - 2020
- [c7]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: 4656-4667 - [c6]Yoav Levine, Noam Wies, Or Sharir, Hofit Bata, Amnon Shashua:
Limits to Depth Efficiencies of Self-Attention. NeurIPS 2020 - [i13]Or Sharir, Barak Peleg, Yoav Shoham:
The Cost of Training NLP Models: A Concise Overview. CoRR abs/2004.08900 (2020) - [i12]Yoav Levine, Noam Wies, Or Sharir, Hofit Bata, Amnon Shashua:
Limits to Depth Efficiencies of Self-Attention. CoRR abs/2006.12467 (2020) - [i11]Yoel Zeldes, Dan Padnos, Or Sharir, Barak Peleg:
Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation. CoRR abs/2006.16823 (2020)
2010 – 2019
- 2019
- [i10]Or Sharir, Yoav Levine, Noam Wies, Giuseppe Carleo
, Amnon Shashua:
Deep autoregressive models for the efficient variational simulation of many-body quantum systems. CoRR abs/1902.04057 (2019) - [i9]Yoav Levine, Barak Lenz, Or Dagan, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham:
SenseBERT: Driving Some Sense into BERT. CoRR abs/1908.05646 (2019) - 2018
- [c5]Or Sharir, Amnon Shashua:
Sum-Product-Quotient Networks. AISTATS 2018: 529-537 - [c4]Yoav Levine, Or Sharir, Amnon Shashua:
Benefits of Depth for Long-Term Memory of Recurrent Networks. ICLR (Workshop) 2018 - [c3]Or Sharir, Amnon Shashua:
On the Expressive Power of Overlapping Architectures of Deep Learning. ICLR (Poster) 2018 - [i8]Yoav Levine, Or Sharir, Nadav Cohen, Amnon Shashua:
Bridging Many-Body Quantum Physics and Deep Learning via Tensor Networks. CoRR abs/1803.09780 (2018) - 2017
- [i7]Or Sharir, Amnon Shashua:
On the Expressive Power of Overlapping Operations of Deep Networks. CoRR abs/1703.02065 (2017) - [i6]Nadav Cohen, Or Sharir, Yoav Levine, Ronen Tamari, David Yakira, Amnon Shashua:
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions. CoRR abs/1705.02302 (2017) - [i5]Or Sharir, Amnon Shashua:
Sum-Product-Quotient Networks. CoRR abs/1710.04404 (2017) - [i4]Yoav Levine, Or Sharir, Amnon Shashua:
Benefits of Depth for Long-Term Memory of Recurrent Networks. CoRR abs/1710.09431 (2017) - 2016
- [c2]Nadav Cohen, Or Sharir, Amnon Shashua:
On the Expressive Power of Deep Learning: A Tensor Analysis. COLT 2016: 698-728 - [c1]Nadav Cohen, Or Sharir, Amnon Shashua:
Deep SimNets. CVPR 2016: 4782-4791 - [i3]Or Sharir, Ronen Tamari, Nadav Cohen, Amnon Shashua:
Tensorial Mixture Models. CoRR abs/1610.04167 (2016) - 2015
- [i2]Nadav Cohen, Or Sharir, Amnon Shashua:
Deep SimNets. CoRR abs/1506.03059 (2015) - [i1]Nadav Cohen, Or Sharir, Amnon Shashua:
On the Expressive Power of Deep Learning: A Tensor Analysis. CoRR abs/1509.05009 (2015)
Coauthor Index
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