Papers
Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL
Anusha Nagabandi, Chelsea Finn, Sergey Levine
Preventing Posterior Collapse with delta-VAEs
Ali Razavi, Aaron van den Oord, Ben Poole et al.
Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion
Ruiqi Gao, Jianwen Xie, Song-Chun Zhu et al.
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
Kendall Lowrey, Aravind Rajeswaran, Sham Kakade et al.
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Wang, Amanpreet Singh, Julian Michael et al.
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva*, Alessandro Sordoni*, Remi Tachet des Combes* et al.
Optimal Control Via Neural Networks: A Convex Approach
Yize Chen, Yuanyuan Shi, Baosen Zhang
Adaptive Input Representations for Neural Language Modeling
Alexei Baevski, Michael Auli
Systematic Generalization: What Is Required and Can It Be Learned?
Dzmitry Bahdanau*, Shikhar Murty*, Michael Noukhovitch et al.
Automatically Composing Representation Transformations as a Means for Generalization
Michael Chang, Abhishek Gupta, Sergey Levine et al.
Modeling Uncertainty with Hedged Instance Embeddings
Seong Joon Oh, Kevin P. Murphy, Jiyan Pan et al.
Learning to Navigate the Web
Izzeddin Gur, Ulrich Rueckert, Aleksandra Faust et al.
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie et al.
STCN: Stochastic Temporal Convolutional Networks
Emre Aksan, Otmar Hilliges
A Closer Look at Few-shot Classification
Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira et al.
A Mean Field Theory of Batch Normalization
Greg Yang, Jeffrey Pennington, Vinay Rao et al.
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer
Sicong Huang, Qiyang Li, Cem Anil et al.
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
David Bau, Jun-Yan Zhu, Hendrik Strobelt et al.
Learning to Learn with Conditional Class Dependencies
Xiang Jiang, Mohammad Havaei, Farshid Varno et al.
AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking
Fangwei Zhong, Peng Sun, Wenhan Luo et al.
Feature-Wise Bias Amplification
Klas Leino, Emily Black, Matt Fredrikson et al.
Top-Down Neural Model For Formulae
Karel Chvalovský
A Max-Affine Spline Perspective of Recurrent Neural Networks
Zichao Wang, Randall Balestriero, Richard Baraniuk
Competitive experience replay
Hao Liu, Alexander Trott, Richard Socher et al.
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures
Jonathan Uesato*, Ananya Kumar*, Csaba Szepesvari* et al.