Papers
Variational Autoencoders with Riemannian Brownian Motion Priors
Dimitrios Kalatzis, David Eklund, Georgios Arvanitidis et al.
Variational Bayesian Quantization
Yibo Yang, Robert Bamler, Stephan Mandt
Variational Imitation Learning with Diverse-quality Demonstrations
Voot Tangkaratt, Bo Han, Mohammad Emtiyaz Khan et al.
Variational Inference for Sequential Data with Future Likelihood Estimates
Geon-Hyeong Kim, Youngsoo Jang, Hongseok Yang et al.
Variational Label Enhancement
Ning Xu, Jun Shu, Yun-Peng Liu et al.
VFlow: More Expressive Generative Flows with Variational Data Augmentation
Jianfei Chen, Cheng Lu, Biqi Chenli et al.
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing
Zoltán Milacski, Barnabas Poczos, Andras Lorincz
Video Prediction via Example Guidance
Jingwei Xu, Huazhe Xu, Bingbing Ni et al.
Visual Grounding of Learned Physical Models
Yunzhu Li, Toru Lin, Kexin Yi et al.
Voice Separation with an Unknown Number of Multiple Speakers
Eliya Nachmani, Yossi Adi, Lior Wolf
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.