François Chollet

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All published works

Action	Title	Year	Authors
+ PDF Chat	KerasCV and KerasNLP: Vision and Language Power-Ups	2024	Matthew Watson Divyashree Shivakumar Sreepathihalli François Chollet Martin Görner Kiranbir Sodhia Ramesh Sampath Tirth Patel Haifeng Jin Neel Kovelamudi Gabriel Rasskin
+ PDF Chat	Forecasting SARS-CoV-2 transmission and clinical risk at small spatial scales by the application of machine learning architectures to syndromic surveillance data	2022	Thomas Ward Alexander Johnsen Stanley Ng François Chollet
+	Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models	2022	Aarohi Srivastava Abhinav Rastogi Abhishek S. Rao Abu Awal Shoeb Abubakar Abid Adam Fisch Adam R. Brown Adam Santoro Aditya Gupta Adrià Garriga-Alonso
+	Efficient Graph-Friendly COCO Metric Computation for Train-Time Model Evaluation	2022	Luke Wood François Chollet
+	The Measure of Intelligence	2019	François Chollet
+	On the Measure of Intelligence.	2019	François Chollet
+	On the Measure of Intelligence	2019	François Chollet
+	Tensor2Tensor for Neural Machine Translation	2018	Ashish Vaswani Samy Bengio Eugene Brevdo François Chollet Aidan N. Gomez Stephan Gouws Llion Jones Łukasz Kaiser Nal Kalchbrenner Niki Parmar
+	Tensor2Tensor for Neural Machine Translation	2018	Ashish Vaswani Samy Bengio Eugene Brevdo François Chollet Aidan N. Gomez Stephan Gouws Llion Jones Łukasz Kaiser Nal Kalchbrenner Niki Parmar
+ PDF Chat	Xception: Deep Learning with Depthwise Separable Convolutions	2017	François Chollet
+	HolStep: A Machine Learning Dataset for Higher-order Logic Theorem Proving	2017	Cezary Kaliszyk François Chollet Christian Szegedy
+	Depthwise Separable Convolutions for Neural Machine Translation	2017	Łukasz Kaiser Aidan N. Gomez François Chollet
+	HolStep: A Machine Learning Dataset for Higher-order Logic Theorem Proving	2017	Cezary Kaliszyk François Chollet Christian Szegedy
+	Deep Learning with Separable Convolutions	2016	François Chollet
+	Xception: Deep Learning with Depthwise Separable Convolutions	2016	François Chollet
+	Information-theoretical label embeddings for large-scale image classification	2016	François Chollet
+	DeepMath - Deep Sequence Models for Premise Selection	2016	Alex Alemi François Chollet Niklas Eén Geoffrey Irving Christian Szegedy Josef Urban
+	Xception: Deep Learning with Depthwise Separable Convolutions	2016	François Chollet
+	Information-theoretical label embeddings for large-scale image classification	2016	François Chollet
+	Writing, calculating, and finger recognition in the region of the angular gyrus: a cortical stimulation study of Gerstmann syndrome	2003	Franck‐Emmanuel Roux S. Boetto Oumar Sacko François Chollet M Trémoulet

Common Coauthors

Coauthor	Papers Together
Christian Szegedy	3
Aidan N. Gomez	3
Łukasz Kaiser	3
Luke Wood	2
Nal Kalchbrenner	2
Ryan Sepassi	2
Stephan Gouws	2
Niki Parmar	2
Cezary Kaliszyk	2
Noam Shazeer	2
Llion Jones	2
Samy Bengio	2
Jakob Uszkoreit	2
Ashish Vaswani	2
Eugene Brevdo	2
Peter Chang	1
Jeroen Taal	1
Eric Tang	1
William Fedus	1
Ali Tazarv	1
Mohit Bansal	1
Jonathan Bischof	1
Pegah Alipoormolabashi	1
James Zou	1
Michihiro Yasunaga	1
Cedrick Argueta	1
Behnam Hedayatnia	1
Deep Ganguli	1
Lucy Noble	1
Wout Vossen	1
Shikhar Singh	1
Jelle Bosscher	1
Jos Rozen	1
Debnath	1
S. Boetto	1
Berk Ekmekci	1
Paul Vicol	1
Sneha Priscilla Makini	1
Shubh Pachchigar	1
Xiang Ren	1
Mirac Süzgün	1
Sarah A. Rous	1
Ethan Dyer	1
Jennifer Marsh	1
David Drakard	1
Nayeon Lee	1
Neta Gur-Ari Krakover	1
Robbe Raymaekers	1
Trenton Chang	1
Amanda Dsouza	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	3
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	3
+	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)	2015	Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	Flattened Convolutional Neural Networks for Feedforward Acceleration	2014	Jonghoon Jin Aysegul Dundar Eugenio Culurciello	2
+ PDF Chat	No free lunch theorems for optimization	1997	David H. Wolpert William G. Macready	2
+	Encoding Source Language with Convolutional Neural Network for Machine Translation	2015	Fandong Meng Zhengdong Lu Mingxuan Wang Hang Li Wenbin Jiang Qun Liu	2
+	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi	2
+	End-To-End Memory Networks	2015	Sainbayar Sukhbaatar Arthur Szlam Jason Weston Rob Fergus	2
+	Xception: Deep Learning with Depthwise Separable Convolutions	2016	François Chollet	2
+	Measuring the tendency of CNNs to Learn Surface Statistical Regularities	2017	Jason Jo Yoshua Bengio	2
+	An Introduction to Kolmogorov Complexity and Its Applications	2019	Ming Li Paul Vitányi	2
+	Neural Machine Translation in Linear Time	2016	Nal Kalchbrenner Lasse Espeholt Karen Simonyan Aäron van den Oord Alexander Graves Koray Kavukcuoglu	2
+ PDF Chat	Building machines that learn and think like people	2016	Brenden M. Lake Tomer Ullman Joshua B. Tenenbaum Samuel J. Gershman	2
+	Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation	2018	Niels Justesen Rubén Rodríguez Torrado Philip Bontrager Ahmed Khalifa Julian Togelius Sebastian Risi	2
+ PDF Chat	Deep Reinforcement Learning That Matters	2018	Peter Henderson Riashat Islam Philip Bachman Joëlle Pineau Doina Precup David Meger	2
+	Quantifying Generalization in Reinforcement Learning	2018	Karl Cobbe Oleg Klimov Chris Hesse Taehoon Kim John Schulman	2
+	Network In Network	2013	Min Lin Qiang Chen Shuicheng Yan	2
+	Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer	2017	Noam Shazeer Azalia Mirhoseini Krzysztof Maziarz Andy Davis Quoc V. Le Geoffrey E. Hinton Jeff Dean	2
+ PDF Chat	The Arcade Learning Environment: An Evaluation Platform for General Agents	2013	Marc G. Bellemare Yavar Naddaf Joel Veness Michael Bowling	2
+	Convolutional Sequence to Sequence Learning	2017	Jonas Gehring Michael Auli David Grangier Denis Yarats Yann Dauphin	2
+	Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation	2016	Yonghui Wu Mike Schuster Zhifeng Chen Quoc V. Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+	StarCraft II: A New Challenge for Reinforcement Learning	2017	Oriol Vinyals Timo Ewalds Sergey Bartunov Petko Georgiev Alexander Sasha Vezhnevets Michelle Yeo Alireza Makhzani Heinrich Küttler John Agapiou Julian Schrittwieser	2
+	Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions	2019	Rui Wang Joel Lehman Jeff Clune Kenneth O. Stanley	2
+	ImageNet Large Scale Visual Recognition Challenge	2014	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	2
+	Computing Machinery and Intelligence (1950)	2004	Alan Turing	2
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	2
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	2
+ PDF Chat	Detecting influenza epidemics using search engine query data	2008	Jeremy Ginsberg Matthew H. Mohebbi Rajan Patel Lynnette Brammer Mark S. Smolinski Larry Brilliant	1
+ PDF Chat	Characterizing Ebola Transmission Patterns Based on Internet News Reports	2015	Julie M. Cleaton Cécile Viboud Lone Simonsen A. Magdalena Hurtado Gerardo Chowell	1
+	Automatic Time Series Forecasting: The<b>forecast</b>Package for<i>R</i>	2008	Rob Hyndman Yeasmin Khandakar	1
+	Number Words and Number Symbols: A Cultural History of Numbers	1971	Irving M. Copi Karl A. Menninger Paul Broneer	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+ PDF Chat	Universal Intelligence: A Definition of Machine Intelligence	2007	Shane Legg Marcus Hütter	1
+	The HOL Light Theory of Euclidean Space	2012	John Harrison	1
+	Arithmetic Facts without Meaning	1997	Margarete Delazer Th. Benke	1
+	Neural Machine Translation of Rare Words with Subword Units	2015	Rico Sennrich Barry Haddow Alexandra Birch	1
+	An ACL2 Tutorial	2008	Matt Kaufmann J. Strother Moore	1
+	The Mathematical Brain	1999	Brian Butterworth	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+	Neural Correlates of Simple and Complex Mental Calculation	2001	Laure Zago Mauro Pesenti Emmanuel Mellet Fabrice Crivello Bernard Mazoyer Nathalie Tzourio‐Mazoyer	1
+	Neural GPUs Learn Algorithms	2015	Łukasz Kaiser Ilya Sutskever	1
+ PDF Chat	Cerebral activations during number multiplication and comparison: a PET study	1996	Stanislas Dehaene N. Tzourio Victor Frak Laurence Raynaud Laurent Cohen Jacques Mehler Bernard Mazoyer	1
+ PDF Chat	MizAR 40 for Mizar 40	2015	Cezary Kaliszyk Josef Urban	1
+	On the Properties of Neural Machine Translation: Encoder-Decoder Approaches	2014	Kyunghyun Cho Bart van Merriënboer Dzmitry Bahdanau Yoshua Bengio	1
+	Sentence Pair Scoring: Towards Unified Framework for Text Comprehension	2016	P Baudis Jan Šedivý	1
+	Globally Normalized Transition-Based Neural Networks	2016	Daniel Andor Chris Alberti David J. Weiss Aliaksei Severyn Alessandro Presta Kuzman Ganchev Slav Petrov Michael Collins	1
+	Distinct Cortical Areas for Names of Numbers and Body Parts Independent of Language and Input Modality	2000	Gurvan Le Clec’H Severine Dehaene Laurent Cohen Jacques Mehler Emmanuel Dupoux Jean‐Baptiste Poline Stéphane Lehéricy Pierre‐François Van de Moortele Denis Le Bihan	1