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Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #1
Few-Shot Learning with Graph Neural Networks
Victor Garcia Satorras · Joan Bruna
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #2
Temporally Efficient Deep Learning with Spikes
Peter OConnor · Efstratios Gavves · Matthias Reisser · Max Welling
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #3
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks
Pratik A Chaudhari · Stefano Soatto
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #4
Understanding Deep Neural Networks with Rectified Linear Units
Raman Arora · Amitabh Basu · Poorya Mianjy · Anirbit Mukherjee
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #5
On Unifying Deep Generative Models
Zhiting Hu · · Ruslan Salakhutdinov · Eric P Xing
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #6
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks
Shankar Krishnan · Ying Xiao · Rif A. Saurous
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #7
Wasserstein Auto-Encoders
Ilya Tolstikhin · Olivier Bousquet · Sylvain Gelly · Bernhard Schoelkopf
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #8
Guide Actor-Critic for Continuous Control
Voot Tangkaratt · · Masashi Sugiyama
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #9
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning
Artemij Amiranashvili · Alexey Dosovitskiy · Vladlen Koltun · Thomas Brox
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #10
Neural Map: Structured Memory for Deep Reinforcement Learning
Emilio Parisotto · Ruslan Salakhutdinov
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #11
Eigenoption Discovery through the Deep Successor Representation
Marlos C. Machado · Clemens Rosenbaum · Xiaoxiao Guo · Miao Liu · Gerald Tesauro · Murray Campbell
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #12
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras · Timo Aila · Samuli Laine · Jaakko Lehtinen
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #13
Learning a neural response metric for retinal prosthesis
Nishal Shah · Sasidhar Madugula · E.J. Chichilnisky · Yoram Singer · Jonathon Shlens
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #14
Self-ensembling for visual domain adaptation
Geoff W French · Michal Mackiewicz · Mark Fisher
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #15
PixelNN: Example-based Image Synthesis
Aayush Bansal · Yaser Sheikh · Deva Ramanan
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #16
Emergent Communication through Negotiation
Kris Cao · Angeliki Lazaridou · Marc Lanctot · Joel Z Leibo · Karl Tuyls · Stephen Clark
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #17
Emergent Communication in a Multi-Modal, Multi-Step Referential Game
Katrina Evtimova · Andrew Drozdov · Douwe Kiela · Kyunghyun Cho
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #18
Stabilizing Adversarial Nets with Prediction Methods
Abhay Kumar Yadav · Sohil Shah · Zheng Xu · David Jacobs · Tom Goldstein
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #19
Learning to Represent Programs with Graphs
Miltiadis Allamanis · Marc Brockschmidt · Mahmoud Khademi
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #20
cGANs with Projection Discriminator
Takeru Miyato · Masanori Koyama
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #21
Generative Models of Visually Grounded Imagination
Shanmukha Ramakrishna Vedantam · Ian Fischer · Jonathan Huang · Kevin P Murphy
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #22
Emergent Translation in Multi-Agent Communication
Jason Lee · Kyunghyun Cho · Jason Weston · Douwe Kiela
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #23
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation
Pietro Morerio · Jacopo Cavazza · Vittorio Murino
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #24
An image representation based convolutional network for DNA classification
Bojian Yin · Marleen Balvert · Davide Zambrano · Alexander Schoenhuth · Sander Bohte
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #25
Overcoming Catastrophic Interference using Conceptor-Aided Backpropagation
Xu He · Herbert Jaeger
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #26
Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks
Jinsung Yoon · William R Zame · Mihaela v Schaar
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #27
Non-Autoregressive Neural Machine Translation
Jiatao Gu · James Bradbury · Caiming Xiong · Victor OK Li · richard socher
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #28
Compressing Word Embeddings via Deep Compositional Code Learning
Raphael Shu · Hideki Nakayama
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #29
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
Christopher Cueva · Xue-Xin Wei
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #30
FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension
Hsin-Yuan Huang · Chenguang Zhu · · Weizhu Chen
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #31
Depthwise Separable Convolutions for Neural Machine Translation
Lukasz Kaiser · Aidan Gomez · Francois Chollet
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #32
Parallelizing Linear Recurrent Neural Nets Over Sequence Length
Eric Martin · Christopher Cundy
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #33
Large scale distributed neural network training through online distillation
Rohan Anil · Gabriel Pereyra · Alexandre Tachard Passos · Robert Ormandi · George Dahl · Geoffrey E Hinton
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #34
Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio
Dongsoo Lee · Daehyun Ahn · Taesu Kim · Pierce I Chuang · Jae-Joon Kim
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #35
DCN+: Mixed Objective And Deep Residual Coattention for Question Answering
Caiming Xiong · richard socher · Victor Zhong
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #36
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
R. Srikant · Shiyu Liang · Yixuan Li
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #37
Residual Connections Encourage Iterative Inference
Stanislaw Jastrzebski · Devansh Arpit · Nicolas Ballas · Vikas Verma · Tong Che · Yoshua Bengio
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #38
Towards Synthesizing Complex Programs From Input-Output Examples
Xinyun Chen · Chang Liu · Dawn Song
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #39
Don't Decay the Learning Rate, Increase the Batch Size
Samuel Smith · Pieter-Jan Kindermans · Chris Ying · Quoc V Le
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #40
Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity
Tianyi Zhou · Jeff Bilmes
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #41
Multi-Scale Dense Networks for Resource Efficient Image Classification
Gao Huang · Danlu Chen · Tianhong Li · Felix Wu · Laurens van der Maaten · Kilian Weinberger
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #42
A Deep Reinforced Model for Abstractive Summarization
Romain Paulus · Caiming Xiong · richard socher
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #43
Unbiased Online Recurrent Optimization
Corentin Tallec · Yann Ollivier