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Constrained Graph Variational Autoencoders for Molecule Design
Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander Gaunt
Neural Information Processing Systems http://nips.cc/
Infinite-Horizon Gaussian Processes
Arno Solin, James Hensman, Richard E. Turner
Neural Information Processing Systems http://nips.cc/
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback
Our paper takes the first step to remove such assumptions.
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods
The dataset is created to addressing a real-world challenge: creating a clean fine-grained taxonomy dataset.
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations
Note that lower values of ϵ and δ correspond to stronger privacy.
The Pessimistic Limits and Possibilities of Margin-based Losses in Semi-supervised Learning
Neural Information Processing Systems http://nips.cc/
Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge
Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao
Given a text description, we immediately imagine an overall visual impression using this prior and, based on this, we draw a picture by progressively adding more andmore details.
Comparing Unsupervised Word Translation Methods Step by Step
Mareike Hartmann, Yova Kementchedjhieva, Anders Søgaard
Awordvectorspace-sometimes referred toasawordembedding-associates similar wordsina vocabularywithsimilar vectors.