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Neural Nearest Neighbors Networks
Neural Information Processing Systems http://nips.cc/
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, Shimon Whiteson
Wemodel 34], whichisformallyG = hS, U, Pi. S is thestatespacet, every i 2 A {1,..., n} choosesui 2 U which action u 2 U Un. P(s0|s,u): S U S!
Constrained deep neural network architecture search for IoT devices accounting for hardware calibration
Florian Scheidegger, Luca Benini, Costas Bekas, A. Cristiano I. Malossi
Neural Information Processing Systems http://nips.cc/
Learning Versatile Filters for Efficient Convolutional Neural Networks
Yunhe Wang, Chang Xu, Chunjing XU, Chao Xu, Dacheng Tao
Neural Information Processing Systems http://nips.cc/
A Unified Approach to Count-Based Weakly-Supervised Learning
High-quality labels are often very scarce, whereas unlabeled data with inferred weak labels occurs more naturally.
f7ae58c7f1a1cc4abe9273a0f971ba2a-Paper.pdf
Variational Bayes (VB) is a scalable alternative to Markov chain Monte Carlo (MCMC)forBayesian posterior inference.
Parsimonious Bayesian deep networks
Neural Information Processing Systems http://nips.cc/
