2.2k citations · 7.1k across the 72 of their papers we have counts for
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Neural ODEs for Image Segmentation with Level Sets
Rafael Valle, Fitsum Reda, Mohammad Shoeybi +3
We propose a novel approach for image segmentation that combines Neural Ordinary Differential Equations (NODEs) and the Level Set method. Our approach parametrizes the evolution of…
Zero-shot Text Classification With Generative Language Models
Raul Puri, Bryan Catanzaro
This work investigates the use of natural language to enable zero-shot model adaptation to new tasks. We use text and metadata from social commenting platforms as a source for a si…
Few-shot Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao +3
Video-to-video synthesis (vid2vid) aims at converting an input semantic video, such as videos of human poses or segmentation masks, to an output photorealistic video. While the sta…
Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens
Rafael Valle, Jason Li, Ryan Prenger +1
Mellotron is a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data. By explicitly conditioning…
Video Interpolation and Prediction with Unsupervised Landmarks
Kevin J. Shih, Aysegul Dundar, Animesh Garg +3
Prediction and interpolation for long-range video data involves the complex task of modeling motion trajectories for each visible object, occlusions and dis-occlusions, as well as…
Can -Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?
Vitaly Kurin, Saad Godil, Shimon Whiteson +1
We present Graph--SAT, a branching heuristic for a Boolean SAT solver trained with value-based reinforcement learning (RL) using Graph Neural Networks for function approximation…