Jonathan Malmaud

14 papers A* 3B 2Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
Measuring The Impact Of Programming Language Distribution.
CoRR
Gabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishabh Singh, Michele Catasta
2023 A* conf
Measuring the Impact of Programming Language Distribution.
ICML
Gabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishabh Singh, Michele Catasta
2021 — conf
Pareto-Optimal Quantized ResNet Is Mostly 4-Bit.
CVPR Workshops
AmirAli Abdolrashidi, Lisa Wang, Shivani Agrawal, Jonathan Malmaud, Oleg Rybakov, Chas Leichner, Lukasz Lew
2021 J jnl
Pareto-Optimal Quantized ResNet Is Mostly 4-bit.
CoRR
AmirAli Abdolrashidi, Lisa Wang, Shivani Agrawal, Jonathan Malmaud, Oleg Rybakov, Chas Leichner, Lukasz Lew
2020 B conf
Bridging Information-Seeking Human Gaze and Machine Reading Comprehension.
CoNLL
Jonathan Malmaud, Roger Levy, Yevgeni Berzak
2020 J jnl
Bridging Information-Seeking Human Gaze and Machine Reading Comprehension.
CoRR
Jonathan Malmaud, Roger Levy, Yevgeni Berzak
2020 A* conf
STARC: Structured Annotations for Reading Comprehension.
ACL
Yevgeni Berzak, Jonathan Malmaud, Roger Levy
2020 J jnl
STARC: Structured Annotations for Reading Comprehension.
CoRR
Yevgeni Berzak, Jonathan Malmaud, Roger Levy
2018 J jnl
TensorFlow.jl: An Idiomatic Julia Front End for TensorFlow.
J. Open Source Softw.
Jonathan Malmaud, Lyndon White
2015 — conf
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision.
HLT-NAACL
Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nicholas Johnston, Andrew Rabinovich, Kevin Murphy
2015 J jnl
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision.
CoRR
Jonathan Malmaud, Jonathan Huang, Vivek Rathod, Nick Johnston, Andrew Rabinovich, Kevin Murphy
2013 A* conf
Bootstrap Learning via Modular Concept Discovery.
IJCAI
Eyal Dechter, Jonathan Malmaud, Ryan P. Adams, Joshua B. Tenenbaum
2013 J jnl
ClusterCluster: Parallel Markov Chain Monte Carlo for Dirichlet Process Mixtures
CoRR
Dan Lovell, Jonathan Malmaud, Ryan P. Adams, Vikash K. Mansinghka
2012 B conf
Computational, Cognitive, and Neural Models of Decision-making Biases.
CogSci
Jonathan Malmaud, Joshua B. Tenenbaum, Peter Dayan, Laurence T. Maloney, Edward Vul, Nick Chater