Jason Levy

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Instability in Invariant Theory 1978 George R. Kempf
5
+ Conjugacy classes of n-tuples in Lie algebras and algebraic groups 1988 R. W. Richardson
4
+ PDF Chat A measure on the Unipotent Variety 1985 James Arthur
3
+ A trace formula for reductive groups I terms associated to classes in G(Q) 1978 James Arthur
3
+ A Truncated Poisson Formula for Groups of Rank at Most Two 1995 Jason Levy
3
+ Spherical characters on P-Adic symmetric spaces 1996 Cary Rader
Steve Rallis
3
+ The Trace Formula in Invariant Form 1981 James Arthur
2
+ Universal ASR: Unify and Improve Streaming ASR with Full-context Modeling. 2020 Jiahui Yu
Wei Han
Anmol Gulati
Chungā€Cheng Chiu
Bo Li
Tara N. Sainath
Yonghui Wu
Ruoming Pang
2
+ TinyBERT: Distilling BERT for Natural Language Understanding 2020 Xiaoqi Jiao
Yichun Yin
Lifeng Shang
Xin Jiang
Xiao Dong Chen
Linlin Li
Fang Wang
Qun Liu
2
+ Ɖtale Slices for Algebraic Transformation Groups in Characteristic <i>p</i> 1985 Peter Bardsley
R. W. Richardson
2
+ Spinors of 13-dimensional space 1978 V Gatti
E Viniberghi
2
+ PACT: Parameterized Clipping Activation for Quantized Neural Networks 2018 Jungwook Choi
Zhuo Wang
Swagath Venkataramani
Pierce Chuang
Vijayalakshmi Srinivasan
Kailash Gopalakrishnan
2
+ Compressing End-to-end ASR Networks by Tensor-Train Decomposition 2018 Takuma Mori
Andros Tjandra
Sakriani Sakti
Satoshi Nakamura
2
+ Gaussian Error Linear Units (GELUs) 2016 Dan Hendrycks
Kevin Gimpel
2
+ Introduction to Lie Algebras and Representation Theory 1972 James E. Humphreys
2
+ PDF Chat Rationality and Orbit Closures 2003 Jason Levy
2
+ Energy and Policy Considerations for Deep Learning in NLP 2019 Emma Strubell
Ananya Ganesh
Andrew McCallum
2
+ Distilling the Knowledge in a Neural Network 2015 Geoffrey E. Hinton
Oriol Vinyals
Jay B. Dean
2
+ On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression 2019 Genta Indra Winata
Andrea Madotto
Jamin Shin
Elham J. Barezi
Pascale Fung
2
+ DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter 2019 Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
2
+ Neural Network Distiller: A Python Package For DNN Compression Research 2019 Neta Zmora
Guy Jacob
Lev Zlotnik
Bar Elharar
Gal Novik
2
+ PDF Chat Lightweight and Efficient End-To-End Speech Recognition Using Low-Rank Transformer 2020 Genta Indra Winata
Samuel Cahyawijaya
Zhaojiang Lin
Zihan Liu
Pascale Fung
2
+ Deep Speech 2: End-to-End Speech Recognition in English and Mandarin 2015 Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
Bryan Catanzaro
Jingdong Chen
Mike Chrzanowski
Adam Coates
Greg Diamos
2
+ MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices 2020 Zhiqing Sun
Hongkun Yu
Xiaodan Song
Renjie Liu
Yiming Yang
Denny Zhou
2
+ Sur Certaines Operations Differentiables des Groupes de Lie 1975 D. Luna
1
+ Shintani Zeta Functions 1994 Akihiko Yukie
1
+ On the relative trace formula 1988 K. F. Lai
1
+ A Note on Orbits of Reductive Groups 1974 M. S. Raghunathan
1
+ Universal Language Model Fine-tuning for Text Classification. 2018 Jeremy Howard
Sebastian Ruder
1
+ Closed Orbits and uniform S-instability in Geometric Invariant Theory 2009 Michael Bate
Benjamin Martin
Gerhard Roehrle
Rudolf Tange
1
+ PDF Chat Universal Language Model Fine-tuning for Text Classification 2018 Jeremy Howard
Sebastian Ruder
1
+ PyTorch: An Imperative Style, High-Performance Deep Learning Library 2019 Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
1
+ Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning 2020 Peter Henderson
Jieru Hu
Joshua Romoff
Emma Brunskill
Dan Jurafsky
Joƫlle Pineau
1
+ Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition 2020 Yan Gao
Titouan Parcollet
Nicholas D. Lane
1
+ wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations 2020 Alexei Baevski
Henry Zhou
Abdelrahman Mohamed
Michael Auli
1
+ Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models 2020 Lasse F. Wolff Anthony
Benjamin Kanding
Raghavendra Selvan
1
+ PDF Chat Iterative Compression of End-to-End ASR Model Using AutoML 2020 Abhinav Mehrotra
Łukasz Dudziak
Jinsu Yeo
Young-Yoon Lee
Ravichander Vipperla
Mohamed S. Abdelfattah
Sourav Bhattacharya
Samin Ishtiaq
Alberto Gil C. P. Ramos
Sang-Jeong Lee
1
+ CoDERT: Distilling Encoder Representations with Co-learning for Transducer-based Speech Recognition 2021 Rupak Vignesh Swaminathan
Brian King
Grant P. Strimel
Jasha Droppo
Athanasios Mouchtaris
1
+ PDF Chat CoDERT: Distilling Encoder Representations with Co-Learning for Transducer-Based Speech Recognition 2021 Rupak Vignesh Swaminathan
Brian King
Grant P. Strimel
Jasha Droppo
Athanasios Mouchtaris
1
+ Linear Algebraic Groups 1991 Armand Borel
1
+ PDF Chat Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition 2021 Yan Gao
Titouan Parcollet
Nicholas D. Lane
1
+ Truncated integrals and the Shintani zeta function for the space of binary quartic forms 1999 Jason Levy
1
+ Arithmetic Subgroups of Algebraic Groups 1984 Armand Borel
Harish-chandra Harish-Chandra
1
+ Galois cohomology of linear algebraic groups 1966 T. A. Springer
1
+ The adelic zeta function associated to the space of binary cubic forms. II: Local theory. 1986 1
+ Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models 2020 Lasse F. Wolff Anthony
Benjamin Kanding
Raghavendra Selvan
1
+ PyTorch: An Imperative Style, High-Performance Deep Learning Library 2019 Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James T. Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
1
+ Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding 2015 Song Han
Huizi Mao
William J. Dally
1
+ Quotients for algebraic group actions over non-algebraically closed fields. 1994 Ralph J. Bremigan
1
+ Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning 2020 Peter Henderson
Jieā€Ru Hu
Joshua Romoff
Emma Brunskill
Dan Jurafsky
Joƫlle Pineau
1