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14 Results
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Poster
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Tue 9:00 |
Biologically-Plausible Learning Algorithms Can Scale to Large Datasets Wu Xiao · HONGLIN CHEN · Qianli Liao · Tomaso Poggio |
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Poster
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Thu 9:00 |
Kernel RNN Learning (KeRNL) Christopher Roth · Ingmar Kanitscheider · Ila Fiete |
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Poster
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Wed 14:30 |
Initialized Equilibrium Propagation for Backprop-Free Training Peter OConnor · Efstratios Gavves · Max Welling |
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Workshop
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Mon 7:45 |
Reproducibility in Machine Learning Nan Rosemary Ke · Alex Lamb · Anirudh Goyal · OLEXA Ivan BILANIUK · Aaron Courville · Yoshua Bengio |
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Poster
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Wed 9:00 |
Probabilistic Planning with Sequential Monte Carlo methods Alexandre Piche · Valentin Thomas · Cyril Ibrahim · Yoshua Bengio · Christopher Pal |
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Poster
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Wed 14:30 |
Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm Charbel Sakr · Naresh Shanbhag |
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Poster
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Wed 9:00 |
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees Yuping Luo · Huazhe Xu · Yuanzhi Li · Yuandong Tian · Trevor Darrell · Tengyu Ma |
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Poster
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Wed 9:00 |
A new dog learns old tricks: RL finds classic optimization algorithms Weiwei Kong · Christopher Liaw · Aranyak Mehta · D. Sivakumar |
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Workshop
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Mon 7:45 |
AI for Social Good Margaux Luck · Myriam Cote · Kris Sankaran · Sean McGregor · Virgile Sylvain · Jonnie Penn · Geneviève Boucher · Tristan Sylvain · Rayid Ghani · Yoshua Bengio · Kentaro Toyama |
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Poster
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Tue 9:00 |
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces Ali Farshchian · Juan Álvaro Gallego · Joseph Paul Cohen · Yoshua Bengio · Lee E Miller · Sara A Solla |
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Poster
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Tue 14:30 |
A Variational Inequality Perspective on Generative Adversarial Networks Gauthier Gidel · Hugo Berard · Gaëtan Vignoud · Pascal Vincent · Simon Lacoste-Julien |
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Poster
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Tue 14:30 |
Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution Thomas Elsken · Jan Hendrik Metzen · Frank Hutter |