Papers
WaveFlow: A Compact Flow-based Model for Raw Audio
Wei Ping, Kainan Peng, Kexin Zhao et al.
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello, Ben Poole, Gunnar Raetsch et al.
What can I do here? A Theory of Affordances in Reinforcement Learning
Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici et al.
What Can Learned Intrinsic Rewards Capture?
Zeyu Zheng, Junhyuk Oh, Matteo Hessel et al.
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?
Chi Jin, Praneeth Netrapalli, Michael Jordan
When are Non-Parametric Methods Robust?
Robi Bhattacharjee, Kamalika Chaudhuri
When deep denoising meets iterative phase retrieval
Yaotian Wang, Xiaohang Sun, Jason Fleischer
When Does Self-Supervision Help Graph Convolutional Networks?
Yuning You, Tianlong Chen, Zhangyang Wang et al.
When Explanations Lie: Why Many Modified BP Attributions Fail
Leon Sixt, Maximilian Granz, Tim Landgraf
Which Tasks Should Be Learned Together in Multi-task Learning?
Trevor Standley, Amir Zamir, Dawn Chen et al.
Why Are Learned Indexes So Effective?
Paolo Ferragina, Fabrizio Lillo, Giorgio Vinciguerra
Why bigger is not always better: on finite and infinite neural networks
Laurence Aitchison
Word-Level Speech Recognition With a Letter to Word Encoder
Ronan Collobert, Awni Hannun, Gabriel Synnaeve
Working Memory Graphs
Ricky Loynd, Roland Fernandez, Asli Celikyilmaz et al.
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning
Sung Whan Yoon, Do-Yeon Kim, Jun Seo et al.
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation
Junjie Hu, Sebastian Ruder, Aditya Siddhant et al.
Zeno++: Robust Fully Asynchronous SGD
Cong Xie, Sanmi Koyejo, Indranil Gupta
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs
Jingkai Mao, Jakob Foerster, Tim Rocktäschel et al.
A Better k-means++ Algorithm via Local Search
Silvio Lattanzi, Christian Sohler
A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation
Ramin Raziperchikolaei, Harish Bhat
Accelerated Flow for Probability Distributions
Amirhossein Taghvaei, Prashant Mehta
Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances
Bugra Can, Mert Gurbuzbalaban, Lingjiong Zhu
Acceleration of SVRG and Katyusha X by Inexact Preconditioning
Yanli Liu, Fei Feng, Wotao Yin
A Composite Randomized Incremental Gradient Method
Junyu Zhang, Lin Xiao