Poster
|
Wed 9:00
|
How to train your MAML
Antreas Antoniou · Harrison Edwards · Amos Storkey
|
|
Poster
|
Tue 14:30
|
Boosting Robustness Certification of Neural Networks
Gagandeep Singh · Timon Gehr · Markus Püschel · Martin Vechev
|
|
Poster
|
Thu 9:00
|
Hierarchical interpretations for neural network predictions
Chandan Singh · William Murdoch · Bin Yu
|
|
Poster
|
Thu 9:00
|
RNNs implicitly implement tensor-product representations
Tom McCoy · Tal Linzen · Ewan Dunbar · Paul Smolensky
|
|
Poster
|
Thu 9:00
|
Learning Finite State Representations of Recurrent Policy Networks
Anurag Koul · Alan Fern · Samuel Greydanus
|
|
Poster
|
Tue 14:30
|
INVASE: Instance-wise Variable Selection using Neural Networks
Jinsung Yoon · James Jordon · Mihaela Schaar
|
|
Poster
|
Tue 9:00
|
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks
José Antonio Oramas Mogrovejo · Kaili Wang · Tinne Tuytelaars
|
|
Poster
|
Thu 9:00
|
Discovery of Natural Language Concepts in Individual Units of CNNs
Seil Na · Yo Joong Choe · Dong-Hyun Lee · Gunhee Kim
|
|
Oral
|
Tue 13:15
|
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramer · Dan Boneh
|
|
Oral
|
Wed 8:15
|
Deterministic Variational Inference for Robust Bayesian Neural Networks
Anqi Wu · Sebastian Nowozin · Ted Meeds · Richard E Turner · José Miguel Hernández Lobato · Alexander Gaunt
|
|
Poster
|
Thu 9:00
|
Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control
Robert Csordas · Jürgen Schmidhuber
|
|
Poster
|
Wed 14:30
|
Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network
Daehyun Ahn · Dongsoo Lee · Taesu Kim · Jae-Joon Kim
|
|