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Clément Farabet
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Books and Theses
- 2013
- [b1]Clément Farabet:
Towards Real-Time Image Understanding with Convolutional Networks. (Analyse sémantique des images en temps-réel avec des réseaux convolutifs). University of Paris-Est, France, 2013
Journal Articles
- 2022
- [j3]Kashyap Chitta
, José M. Álvarez
Training Data Subset Search With Ensemble Active Learning. IEEE Trans. Intell. Transp. Syst. 23(9): 14741-14752 (2022) - 2014
- [j2]Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun:
Convolutional nets and watershed cuts for real-time semantic Labeling of RGBD videos. J. Mach. Learn. Res. 15(1): 3489-3511 (2014) - 2013
- [j1]Clément Farabet, Camille Couprie, Laurent Najman
Learning Hierarchical Features for Scene Labeling. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1915-1929 (2013)
Conference and Workshop Papers
- 2024
- [c15]Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clément Farabet, Shane Legg:
Position: Levels of AGI for Operationalizing Progress on the Path to AGI. ICML 2024 - 2021
- [c14]Jiwoong Choi
Active Learning for Deep Object Detection via Probabilistic Modeling. ICCV 2021: 10244-10253 - 2020
- [c13]Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez:
Scalable Active Learning for Object Detection. IV 2020: 1430-1435 - 2013
- [c12]Jonghoon Jin, Aysegul Dundar, Jordan Bates, Clément Farabet, Eugenio Culurciello:
Tracking with deep neural networks. CISS 2013: 1-5 - [c11]Camille Couprie, Clément Farabet, Yann LeCun, Laurent Najman
Causal graph-based video segmentation. ICIP 2013: 4249-4253 - [c10]Eugenio Culurciello, Jordan Bates, Aysegul Dundar, José Antonio Pérez-Carrasco, Clément Farabet:
Clustering Learning for Robotic Vision. ICLR (Workshop Poster) 2013 - [c9]Camille Couprie, Clément Farabet, Laurent Najman
Indoor Semantic Segmentation using depth information. ICLR 2013 - 2012
- [c8]Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun:
Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers. ICML 2012 - [c7]Phi-Hung Pham, Darko Jelaca, Clément Farabet, Berin Martini, Yann LeCun, Eugenio Culurciello:
NeuFlow: Dataflow vision processing system-on-a-chip. MWSCAS 2012: 1044-1047 - 2011
- [c6]Polina Akselrod, Faye Zhao, Ifigeneia Derekli, Clément Farabet, Berin Martini, Yann LeCun, Eugenio Culurciello:
Hardware accelerated visual attention algorithm. CISS 2011: 1-6 - [c5]Clément Farabet, Berin Martini, B. Corda, Polina Akselrod, Eugenio Culurciello
NeuFlow: A runtime reconfigurable dataflow processor for vision. CVPR Workshops 2011: 109-116 - 2010
- [c4]Yann LeCun, Koray Kavukcuoglu, Clément Farabet:
Convolutional networks and applications in vision. ISCAS 2010: 253-256 - [c3]Clément Farabet, Berin Martini, Polina Akselrod, Selçuk Talay, Yann LeCun, Eugenio Culurciello:
Hardware accelerated convolutional neural networks for synthetic vision systems. ISCAS 2010: 257-260 - 2009
- [c2]Clément Farabet, Cyril Poulet, Jefferson Y. Han, Yann LeCun:
CNP: An FPGA-based processor for Convolutional Networks. FPL 2009: 32-37 - [c1]Clément Farabet, Cyril Poulet, Yann LeCun:
An FPGA-based stream processor for embedded real-time vision with Convolutional Networks. ICCV Workshops 2009: 878-885
Parts in Books or Collections
- 2012
- [p1]Ronan Collobert, Koray Kavukcuoglu, Clément Farabet:
Implementing Neural Networks Efficiently. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 537-557
Informal and Other Publications
- 2024
- [i7]Aleksandar Botev, Soham De, Samuel L. Smith, Anushan Fernando, George-Cristian Muraru, Ruba Haroun, Leonard Berrada, Razvan Pascanu, Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Sertan Girgin, Olivier Bachem, Alek Andreev, Kathleen Kenealy, Thomas Mesnard, Cassidy Hardin, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Armand Joulin, Noah Fiedel, Evan Senter, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, David Budden, Arnaud Doucet, Sharad Vikram, Adam Paszke, Trevor Gale, Sebastian Borgeaud, Charlie Chen, Andy Brock, Antonia Paterson, Jenny Brennan, Meg Risdal, Raj Gundluru, Nesh Devanathan, Paul Mooney, Nilay Chauhan, Phil Culliton, Luiz GUStavo Martins, Elisa Bandy, David Huntsperger, Glenn Cameron, Arthur Zucker, Tris Warkentin, Ludovic Peran, Minh Giang, Zoubin Ghahramani, Clément Farabet, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Yee Whye Teh, Nando de Frietas:
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR abs/2404.07839 (2024) - 2023
- [i6]Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clément Farabet, Shane Legg:
Levels of AGI: Operationalizing Progress on the Path to AGI. CoRR abs/2311.02462 (2023) - 2021
- [i5]Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, José M. Álvarez:
Active Learning for Deep Object Detection via Probabilistic Modeling. CoRR abs/2103.16130 (2021) - 2020
- [i4]Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez:
Scalable Active Learning for Object Detection. CoRR abs/2004.04699 (2020) - 2019
- [i3]Kashyap Chitta, José M. Álvarez, Elmar Haussmann, Clément Farabet:
Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling. CoRR abs/1905.12737 (2019) - 2013
- [i2]Camille Couprie, Clément Farabet, Yann LeCun:
Causal graph-based video segmentation. CoRR abs/1301.1671 (2013) - 2012
- [i1]Clément Farabet, Camille Couprie, Laurent Najman
Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers. CoRR abs/1202.2160 (2012)
Coauthor Index
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