Collection of interesting #ML papers, out recently on Arxiv
Synthesizing Programs for Images using Reinforced Adversarial Learning:
Paper: https://arxiv.org/abs/1804.01118v1
Video: https://www.youtube.com/watch?v=iSyvwAwa7vk
Deep Image Prior:
Paper: https://arxiv.org/abs/1711.10925v3
Project: https://dmitryulyanov.github.io/deep_image_prior
Code: https://github.com/DmitryUlyanov/deep-image-prior
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images:
Paper: https://arxiv.org/abs/1804.01654v1
Project: http://bigvid.fudan.edu.cn/pixel2mesh/
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval:
Paper: https://arxiv.org/abs/1804.01401v1
Dataset: http://sketchx.eecs.qmul.ac.uk/downloads/
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation:
Paper: https://arxiv.org/abs/1804.00522v2
Demo: https://einstein.ai/research/a-multi-discriminator-cyclegan-for-unsupervised-non-parallel-speech-domain-adaptation
