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Oral
Tue 11:30 Couplings for Multinomial Hamiltonian Monte Carlo
Kai Xu · Tor Erlend Fjelde · Charles Sutton · Hong Ge
Poster
Tue 14:00 Density of States Estimation for Out of Distribution Detection
Warren Morningstar · Cusuh Ham · Andrew Gallagher · Balaji Lakshminarayanan · Alex Alemi · Joshua Dillon
Poster
Tue 14:00 Associative Convolutional Layers
Hamed Omidvar · Vahideh Akhlaghi · Hao Su · Massimo Franceschetti · Rajesh Gupta
Poster
Tue 14:00 On the Privacy Properties of GAN-generated Samples
Zinan Lin · Vyas Sekar · Giulia Fanti
Poster
Tue 14:00 Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning
Hitesh Sapkota · Yiming Ying · Feng Chen · Qi Yu
Poster
Tue 14:00 Sketch based Memory for Neural Networks
Rina Panigrahy · Xin Wang · Manzil Zaheer
Poster
Tue 14:00 The Base Measure Problem and its Solution
Alexey Radul · Boris Alexeev
Poster
Tue 14:00 Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
Yu Gong · Hossein Hajimirsadeghi · Jiawei He · Thibaut Durand · Greg Mori
Poster
Tue 14:00 Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
Priyank Jaini · Didrik Nielsen · Max Welling
Poster
Tue 14:00 A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks
Zhiqi Bu · Shiyun Xu · Kan Chen
Poster
Tue 18:30 Mirror Descent View for Neural Network Quantization
Thalaiyasingam Ajanthan · Kartik Gupta · Philip Torr · RICHARD HARTLEY · Puneet Dokania
Poster
Tue 18:30 Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers
Alex Lamb · Anirudh Goyal · Agnieszka SÅ‚owik · Michael Mozer · Philippe Beaudoin · Yoshua Bengio