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Multi-Task Learning as Multi-Objective Optimization
Neural Information Processing Systems http://nips.cc/
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
James Lucas, George Tucker, Roger B. Grosse, Mohammad Norouzi
Neural Information Processing Systems http://nips.cc/
Adversarial Fisher Vectors for Unsupervised Representation Learning
Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua Susskind
Weexamine GenerativeAdversarial Networks(GANs) through thelensofdeep Energy Based Models (EBMs), with the goal of exploiting the density model that follows from this formulation.
Collaborative Learning for Deep Neural Networks
When training deep neural networks, we must confront the challenges ofgeneral nonconvexoptimization problems.
Large Margin Deep Networks for Classification
Gamaleldin Elsayed, Dilip Krishnan, Hossein Mobahi, Kevin Regan, Samy Bengio
The notion ofmargin,minimum distance toadecision boundary,has served as the foundation of several theoretically profound and empirically successful results for both classification and regression tasks.