Papers
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai, Ligeng Zhu, Song Han
Revealing interpretable object representations from human behavior
Charles Y. Zheng, Francisco Pereira, Chris I. Baker et al.
Composing Complex Skills by Learning Transition Policies
Youngwoon Lee*, Shao-Hua Sun*, Sriram Somasundaram et al.
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking
Haichuan Yang, Yuhao Zhu, Ji Liu
Stochastic Optimization of Sorting Networks via Continuous Relaxations
Aditya Grover, Eric Wang, Aaron Zweig et al.
Learning a Meta-Solver for Syntax-Guided Program Synthesis
Xujie Si, Yuan Yang, Hanjun Dai et al.
Capsule Graph Neural Network
Zhang Xinyi, Lihui Chen
Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer et al.
Label super-resolution networks
Kolya Malkin, Caleb Robinson, Le Hou et al.
DyRep: Learning Representations over Dynamic Graphs
Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal et al.
Stochastic Prediction of Multi-Agent Interactions from Partial Observations
Chen Sun, Per Karlsson, Jiajun Wu et al.
Synthetic Datasets for Neural Program Synthesis
Richard Shin, Neel Kant, Kavi Gupta et al.
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun, Marc Finzi, Pavel Izmailov et al.
Towards GAN Benchmarks Which Require Generalization
Ishaan Gulrajani, Colin Raffel, Luke Metz
Eidetic 3D LSTM: A Model for Video Prediction and Beyond
Yunbo Wang, Lu Jiang, Ming-Hsuan Yang et al.
Poincare Glove: Hyperbolic Word Embeddings
Alexandru Tifrea*, Gary Becigneul*, Octavian-Eugen Ganea*
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks
Yukun Ding, Jinglan Liu, Jinjun Xiong et al.
Neural TTS Stylization with Adversarial and Collaborative Games
Shuang Ma, Daniel Mcduff, Yale Song
Rethinking the Value of Network Pruning
Zhuang Liu, Mingjie Sun, Tinghui Zhou et al.
Global-to-local Memory Pointer Networks for Task-Oriented Dialogue
Chien-Sheng Wu, Richard Socher, Caiming Xiong
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew Riemer, Ignacio Cases, Robert Ajemian et al.
The Limitations of Adversarial Training and the Blind-Spot Attack
Huan Zhang*, Hongge Chen*, Zhao Song et al.
Towards Robust, Locally Linear Deep Networks
Guang-He Lee, David Alvarez-Melis, Tommi S. Jaakkola
Regularized Learning for Domain Adaptation under Label Shifts
Kamyar Azizzadenesheli, Anqi Liu, Fanny Yang et al.
GLAMpoints: Greedily Learned Accurate Match Points
Prune Truong, Stefanos Apostolopoulos, Agata Mosinska et al.