Clément Farabet

27 papers A* 4B 2C 3Misc 2Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Position: Levels of AGI for Operationalizing Progress on the Path to AGI. ICML Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clément Farabet, Shane Legg
2024	J	`jnl`	RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR 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
2023	J	`jnl`	Levels of AGI: Operationalizing Progress on the Path to AGI. CoRR Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clément Farabet, Shane Legg
2022	J	`jnl`	Training Data Subset Search With Ensemble Active Learning. IEEE Trans. Intell. Transp. Syst. Kashyap Chitta, José M. Álvarez, Elmar Haussmann, Clément Farabet
2021	A*	`conf`	Active Learning for Deep Object Detection via Probabilistic Modeling. ICCV Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, José M. Álvarez
2021	J	`jnl`	Active Learning for Deep Object Detection via Probabilistic Modeling. CoRR Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, José M. Álvarez
2020	C	`conf`	Scalable Active Learning for Object Detection. IV Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez
2020	J	`jnl`	Scalable Active Learning for Object Detection. CoRR Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez
2019	J	`jnl`	Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling. CoRR Kashyap Chitta, José M. Álvarez, Elmar Haussmann, Clément Farabet
2014	J	`jnl`	Convolutional nets and watershed cuts for real-time semantic Labeling of RGBD videos. J. Mach. Learn. Res. Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun
2013	J	`jnl`	Causal graph-based video segmentation CoRR Camille Couprie, Clément Farabet, Yann LeCun
2013	B	`conf`	Causal graph-based video segmentation. ICIP Camille Couprie, Clément Farabet, Yann LeCun, Laurent Najman
2013	—	`conf`	Clustering Learning for Robotic Vision ICLR (Workshop Poster) Eugenio Culurciello, Jordan Bates, Aysegul Dundar, José Antonio Pérez-Carrasco, Clément Farabet
2013	A*	`conf`	Indoor Semantic Segmentation using depth information ICLR Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun
2013	J	`jnl`	Learning Hierarchical Features for Scene Labeling. IEEE Trans. Pattern Anal. Mach. Intell. Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun
2013	—	`—`	Towards Real-Time Image Understanding with Convolutional Networks. (Analyse sémantique des images en temps-réel avec des réseaux convolutifs). Clément Farabet
2013	Misc	`conf`	Tracking with deep neural networks. CISS Jonghoon Jin, Aysegul Dundar, Jordan Bates, Clément Farabet, Eugenio Culurciello
2012	—	`ch.`	Implementing Neural Networks Efficiently. Neural Networks: Tricks of the Trade (2nd ed.) Ronan Collobert, Koray Kavukcuoglu, Clément Farabet
2012	—	`conf`	NeuFlow: Dataflow vision processing system-on-a-chip. MWSCAS Phi-Hung Pham, Darko Jelaca, Clément Farabet, Berin Martini, Yann LeCun, Eugenio Culurciello
2012	J	`jnl`	Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers CoRR Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun
2012	A*	`conf`	Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers. ICML Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun
2011	Misc	`conf`	Hardware accelerated visual attention algorithm. CISS Polina Akselrod, Faye Zhao, Ifigeneia Derekli, Clément Farabet, Berin Martini, Yann LeCun, Eugenio Culurciello
2011	—	`conf`	NeuFlow: A runtime reconfigurable dataflow processor for vision. CVPR Workshops Clément Farabet, Berin Martini, B. Corda, Polina Akselrod, Eugenio Culurciello, Yann LeCun
2010	C	`conf`	Convolutional networks and applications in vision. ISCAS Yann LeCun, Koray Kavukcuoglu, Clément Farabet
2010	C	`conf`	Hardware accelerated convolutional neural networks for synthetic vision systems. ISCAS Clément Farabet, Berin Martini, Polina Akselrod, Selçuk Talay, Yann LeCun, Eugenio Culurciello
2009	—	`conf`	An FPGA-based stream processor for embedded real-time vision with Convolutional Networks. ICCV Workshops Clément Farabet, Cyril Poulet, Yann LeCun
2009	B	`conf`	CNP: An FPGA-based processor for Convolutional Networks. FPL Clément Farabet, Cyril Poulet, Jefferson Y. Han, Yann LeCun