Papers
Online Learning Rate Adaptation with Hypergradient Descent
Atilim Gunes Baydin, Robert Cornish, David Martinez Rubio et al.
The Implicit Bias of Gradient Descent on Separable Data
Daniel Soudry, Elad Hoffer, Mor Shpigel Nacson et al.
Maximum a Posteriori Policy Optimisation
Abbas Abdolmaleki, Jost Tobias Springenberg, Yuval Tassa et al.
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm
Chelsea Finn, Sergey Levine
Critical Points of Linear Neural Networks: Analytical Forms and Landscape Properties
Yi Zhou, Yingbin Liang
Word translation without parallel data
Guillaume Lample, Alexis Conneau, Marc'Aurelio Ranzato et al.
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
Alexandre Péré, Sébastien Forestier, Olivier Sigaud et al.
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Pouya Samangouei, Maya Kabkab, Rama Chellappa
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
Hao Zhang, Bo Chen, Dandan Guo et al.
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling
Tao Shen, Tianyi Zhou, Guodong Long et al.
Identifying Analogies Across Domains
Yedid Hoshen, Lior Wolf
Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data
William Falcon, Henning Schulzrinne
Combining Human and Machine Transcriptions on the Zooniverse Platform
Daniel Hanson, Andrea Simenstad
Step or Not: Discriminator for The Real Instructions in User-generated Recipes
Shintaro Inuzuka, Takahiko Ito, Jun Harashima
Convolutions Are All You Need (For Classifying Character Sequences)
Zach Wood-Doughty, Nicholas Andrews, Mark Dredze
A Case Study on Learning a Unified Encoder of Relations
Lisheng Fu, Bonan Min, Thien Huu Nguyen et al.
Low-resource named entity recognition via multi-source projection: Not quite there yet?
Jan Vium Enghoff, Søren Harrison, Željko Agić
Using Author Embeddings to Improve Tweet Stance Classification
Adrian Benton, Mark Dredze
FrameIt: Ontology Discovery for Noisy User-Generated Text
Dan Iter, Alon Halevy, Wang-Chiew Tan
Learning to Define Terms in the Software Domain
Vidhisha Balachandran, Dheeraj Rajagopal, Rose Catherine Kanjirathinkal et al.
Classification of Tweets about Reported Events using Neural Networks
Kiminobu Makino, Yuka Takei, Taro Miyazaki et al.
Word-like character n-gram embedding
Geewook Kim, Kazuki Fukui, Hidetoshi Shimodaira
Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata
Steven Xu, Andrew Bennett, Doris Hoogeveen et al.
Content Extraction and Lexical Analysis from Customer-Agent Interactions
Sergiu Nisioi, Anca Bucur, Liviu P. Dinu
Modeling Student Response Times: Towards Efficient One-on-one Tutoring Dialogues
Luciana Benotti, Jayadev Bhaskaran, Sigtryggur Kjartansson et al.