July 12 - 18, 2020
ICML 2020
View information on Facebook AI’s published papers and presentations at ICML 2020
Visit the Virtual ICML Booth
Starting July 12th - July 18th, attendees can visit the ICML website to chat with Facebook engineers, researchers, and recruiters virtually.
Event Highlights
Latinx in AI Workshop, with Live Q+A
July 13, 2020 7:30 am EST
Francisco Guzman is a speaker
Women in Machine Learning Un-Workshop
July 13, 2020, 6:00 GMT
Facebook AI is sponsoring this workshop.
Kalesha Bullard is a speaker
Facebook Publications at ICML 2020
July 12, 2020
Research
ML Applications
Differentiating through the Fréchet Mean
Aaron Lou, Isay Katsman, Qingxuan Jiang, Serge Belongie, Ser-Nam Lim, Christopher De Sa
July 12, 2020
July 13, 2020
Research
NLP
Non-autoregressive Machine Translation with Disentangled Context Transformer
Jungo Kasai, James Cross, Marjan Ghazvininejad, Jiatao Gu
July 13, 2020
July 14, 2020
Research
ML Applications
Invariant Causal Prediction for Block MDPs
Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup
July 14, 2020
July 13, 2020
Research
A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition
Anurag Kumar, Vamsi Krishna Ithapu
July 13, 2020
August 14, 2020
Research
On the Convergence of Nesterov’s Accelerated Gradient Method in Stochastic Settings
Mido Assran, Michael Rabbat
August 14, 2020
July 12, 2020
Research
ML Applications
Stochastic Hamiltonian Gradient Methods for Smooth Games
Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas
July 12, 2020
July 14, 2020
Research
Growing Action Spaces
Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve
July 14, 2020
July 12, 2020
July 12, 2020
July 13, 2020
ML Applications
Research
LEEP: A New Measure to Evaluate Transferability of Learned Representations
Cuong V. Nguyen, Tal Hassner, Matthias Seeger, Cedric Archambeau
July 13, 2020
August 13, 2020
ML Applications
Research
Learning Robot Skills with Temporal Variational Inference
Tanmay Shankar, Abhinav Gupta
August 13, 2020
Join us for PyTorch Q & A Sessions at ICML
Find more details at the Facebook Booth3D Deep Learning with PyTorch3D
PySlowFast: Deep Learning with Video
PyTorch Quantization
Multimodal learning with PyTorch
Serving PyTorch Models
PyTorch Mobile
Model Interpretability with Captum
Q & A with the PyTorch team!
3D Deep Learning with PyTorch3D
PySlowFast: Deep Learning with Video
PyTorch Quantization
Multimodal learning with PyTorch
Serving PyTorch Models
PyTorch Mobile
Model Interpretability with Captum
Q & A with the PyTorch team!
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