.@MSFTResearch's newly released DialoGPT language model is trained on Reddit and still manages to sound human. Fascinating. https://t.co/B1niV275lw
— Xavier Amatriain (@xamat) November 27, 2019
.@MSFTResearch's newly released DialoGPT language model is trained on Reddit and still manages to sound human. Fascinating. https://t.co/B1niV275lw
— Xavier Amatriain (@xamat) November 27, 2019
I Reimplemented StyleGAN using TensorFlow 2.0 - Including a Web Demo! https://t.co/fFLRIv9D8u
— /MachineLearning (@slashML) November 26, 2019
How can we learn a sequence of tasks without forgetting, without class labels and with unknown or ambiguous task boundaries?
— DeepMind (@DeepMindAI) November 22, 2019
Continual Unsupervised Representation Learning:
Paper: https://t.co/tOZXROULoi
Code: https://t.co/SpKEJLZHwK pic.twitter.com/3WSzWmILlB
RandAugment: Practical automated data augmentation with a reduced search space
— hardmaru (@hardmaru) November 19, 2019
Decreasing the search space in a clever way avoids the need to perform highly expensive computation search.
ie. NAS→EfficientNets, AutoAugment→RandAugment
Might be useful for domain randomization. https://t.co/uUmYIrQFJN
BodyPix 2.0 has been released, including multi-person segmentation support and a new live demo!
— TensorFlow (@TensorFlow) November 18, 2019
To learn more, read the post by @tylerzhu3, @oveddan, @greenbeandou, @dsmilkov, @karlssonper, @ire_alva, @nsthorat.
Details here → https://t.co/Zq8dwiNO5A pic.twitter.com/a4qKJu9EJ1
I made a chrome extension that tells you the likelihood that the selected text was generated by an AI. Have a look everyone!
— Giulio Starace (@thesofakillers) November 18, 2019
github repo link: https://t.co/iIVoXvCa00
chrome web store link: https://t.co/76fv2LNm32 https://t.co/F8quNMK7Cf pic.twitter.com/sj5lnGDSWu
We've just open-sourced the code for Stacked Capsule Autoencoders (NeurIPS '19): https://t.co/tP5FSq6dqC
— Adam Kosiorek (@arkosiorek) November 13, 2019
joint work with @sabour_sara, @yeewhye and @geoffreyhinton
We are pleased to announce the release of source code and checkpoints for MobileNetV3 and the Pixel 4 Edge TPU-optimized counterpart, MobileNetEdgeTPU, advancing state-of-the-art for computer vision tasks on compute and power-limited devices. Learn more ↓ https://t.co/qPOKiJOFP4
— Google AI (@GoogleAI) November 13, 2019
Nice work & repo on knowledge distillation https://t.co/tJ3ycra8fR dark knowledge remains one of few amusingly brain-tickling / head-scratching results in neural nets
— Andrej Karpathy (@karpathy) November 10, 2019
.@data_stephanie showed us how to make amazing race plots with gganimate 📊🤯
— David Robinson (@drob) November 8, 2019
Slides and code here! https://t.co/DFP2LGKxmp#rstatsdc pic.twitter.com/02QvvVlnR8
Facebook AI is open-sourcing XLM-R, a multilingual model that uses self-supervised training to achieve state-of-the-art performance on four cross-lingual understanding benchmarks. https://t.co/AU4fE19vLd pic.twitter.com/71XAMQeti6
— Facebook AI (@facebookai) November 7, 2019
Code release for #NeurIPS2019 paper on Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels: https://t.co/zg9nY5NkbY
— Russ Salakhutdinov (@rsalakhu) November 7, 2019
Code: https://t.co/qz7E3Nwpkn
via @SimonShaoleiDu https://t.co/gyaAISmE4Z