Clément Farabet

According to our database, Clément Farabet authored at least 24 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RecurrentGemma: Moving Past Transformers for Efficient Open Language Models.

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

CoRR, 2024

Position: Levels of AGI for Operationalizing Progress on the Path to AGI.

Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clément Farabet, Shane Legg

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Levels of AGI: Operationalizing Progress on the Path to AGI.

Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clément Farabet, Shane Legg

CoRR, 2023

2022

Training Data Subset Search With Ensemble Active Learning.

Kashyap Chitta, José M. Álvarez, Elmar Haussmann, Clément Farabet

IEEE Trans. Intell. Transp. Syst., 2022

2021

Active Learning for Deep Object Detection via Probabilistic Modeling.

Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, José M. Álvarez

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Scalable Active Learning for Object Detection.

Elmar Haussmann, Michele Fenzi, Kashyap Chitta, Jan Ivanecky, Hanson Xu, Donna Roy, Akshita Mittel, Nicolas Koumchatzky, Clément Farabet, José M. Álvarez

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019

Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling.

Kashyap Chitta, José M. Álvarez, Elmar Haussmann, Clément Farabet

CoRR, 2019

2014

Convolutional nets and watershed cuts for real-time semantic Labeling of RGBD videos.

Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun

J. Mach. Learn. Res., 2014

2013

Towards Real-Time Image Understanding with Convolutional Networks. (Analyse sémantique des images en temps-réel avec des réseaux convolutifs).

Clément Farabet

PhD thesis, 2013

Learning Hierarchical Features for Scene Labeling.

Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Indoor Semantic Segmentation using depth information

Camille Couprie, Clément Farabet, Laurent Najman, Yann LeCun

Proceedings of the 1st International Conference on Learning Representations, 2013

Clustering Learning for Robotic Vision

Eugenio Culurciello, Jordan Bates, Aysegul Dundar, José Antonio Pérez-Carrasco, Clément Farabet

Proceedings of the 1st International Conference on Learning Representations, 2013

Causal graph-based video segmentation

Camille Couprie, Clément Farabet, Yann LeCun

CoRR, 2013

Causal graph-based video segmentation.

Camille Couprie, Clément Farabet, Yann LeCun, Laurent Najman

Proceedings of the IEEE International Conference on Image Processing, 2013

Tracking with deep neural networks.

Jonghoon Jin, Aysegul Dundar, Jordan Bates, Clément Farabet, Eugenio Culurciello

Proceedings of the 47th Annual Conference on Information Sciences and Systems, 2013

2012

Implementing Neural Networks Efficiently.

Ronan Collobert, Koray Kavukcuoglu, Clément Farabet

Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

NeuFlow: Dataflow vision processing system-on-a-chip.

Phi-Hung Pham, Darko Jelaca, Clément Farabet, Berin Martini, Yann LeCun, Eugenio Culurciello

Proceedings of the 55th IEEE International Midwest Symposium on Circuits and Systems, 2012

Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers.

Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

NeuFlow: A runtime reconfigurable dataflow processor for vision.

Clément Farabet, Berin Martini, B. Corda, Polina Akselrod, Eugenio Culurciello, Yann LeCun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

Hardware accelerated visual attention algorithm.

Polina Akselrod, Faye Zhao, Ifigeneia Derekli, Clément Farabet, Berin Martini, Yann LeCun, Eugenio Culurciello

Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

2010

Convolutional networks and applications in vision.

Yann LeCun, Koray Kavukcuoglu, Clément Farabet

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Hardware accelerated convolutional neural networks for synthetic vision systems.

Clément Farabet, Berin Martini, Polina Akselrod, Selçuk Talay, Yann LeCun, Eugenio Culurciello

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

2009

An FPGA-based stream processor for embedded real-time vision with Convolutional Networks.

Clément Farabet, Cyril Poulet, Yann LeCun

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

CNP: An FPGA-based processor for Convolutional Networks.

Clément Farabet, Cyril Poulet, Jefferson Y. Han, Yann LeCun

Proceedings of the 19th International Conference on Field Programmable Logic and Applications, 2009