UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
Code: https://github.com/microsoft/unilm
Paper: https://arxiv.org/abs/2002.12804v1
Code: https://github.com/microsoft/unilm
Paper: https://arxiv.org/abs/2002.12804v1
GitHub
GitHub - microsoft/unilm: Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities - microsoft/unilm
Differentiable Convex Optimization Layers
CVXPY creates powerful new PyTorch and TensorFlow layers
https://locuslab.github.io/2019-10-28-cvxpylayers/
CVXPY creates powerful new PyTorch and TensorFlow layers
https://locuslab.github.io/2019-10-28-cvxpylayers/
locuslab.github.io
Differentiable Convex Optimization Layers
CVXPY creates powerful new PyTorch and TensorFlow layers
MIT Technology Review: Unleashing the power of AI for education.
https://www.technologyreview.com/s/615310/unleashing-the-power-of-ai-for-education/
https://www.technologyreview.com/s/615310/unleashing-the-power-of-ai-for-education/
MIT Technology Review
Unleashing the power of AI for education
Artificial intelligence (AI) is a major influence on the state of education today, and the implications are huge. AI has the potential to transform how our education system operates, heighten the competitiveness of institutions, and empower teachers and learners…
Using integrated ML to deliver low-latency mobile VR graphics
https://ai.facebook.com/blog/using-integrated-ml-to-deliver-low-latency-mobile-vr-graphics/
https://ai.facebook.com/blog/using-integrated-ml-to-deliver-low-latency-mobile-vr-graphics/
Facebook
Using integrated ML to deliver low-latency mobile VR graphics
We are sharing details on a new low-latency, power-efficient framework for running machine learning in the rendering pipeline for standalone VR devices that use mobile chipsets.
One-track minds: Using AI for music source separation
https://tech.fb.com/one-track-minds-using-ai-for-music-source-separation/
https://tech.fb.com/one-track-minds-using-ai-for-music-source-separation/
Facebook Technology
One-track minds: Using AI for music source separation
Facebook AI researchers have developed Demucs, a system that takes a regular audio file of a song and separates out the guitars, drums, vocals, and bass with uncanny accuracy.
Covid-19, your community, and you — a data science perspective
https://www.fast.ai/2020/03/09/coronavirus/
https://www.fast.ai/2020/03/09/coronavirus/
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Real-Time 3D Object Detection on Mobile Devices with MediaPipe
https://ai.googleblog.com/2020/03/real-time-3d-object-detection-on-mobile.html
https://ai.googleblog.com/2020/03/real-time-3d-object-detection-on-mobile.html
Imbalanced Multiclass Classification with the Glass Identification Dataset
https://machinelearningmastery.com/imbalanced-multiclass-classification-with-the-glass-identification-dataset/
https://machinelearningmastery.com/imbalanced-multiclass-classification-with-the-glass-identification-dataset/
MachineLearningMastery.com
Imbalanced Multiclass Classification with the Glass Identification Dataset - MachineLearningMastery.com
Multiclass classification problems are those where a label must be predicted, but there are more than two labels that may be predicted. These are challenging predictive modeling problems because a sufficiently representative number of examples of each class…
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
Code: https://github.com/HRNet/Higher-HRNet-Human-Pose-Estimation
Paper: https://arxiv.org/abs/1908.10357
Code: https://github.com/HRNet/Higher-HRNet-Human-Pose-Estimation
Paper: https://arxiv.org/abs/1908.10357
Rethinking Image Mixture for Unsupervised Visual Representation Learning
Code: https://github.com/szq0214/Rethinking-Image-Mixture-for-Unsupervised-Learning
Paper: https://arxiv.org/abs/2003.05438v1
Code: https://github.com/szq0214/Rethinking-Image-Mixture-for-Unsupervised-Learning
Paper: https://arxiv.org/abs/2003.05438v1
Neural Baseline and GECA for Grounded SCAN
This repository contains a multi-modal neural sequence-to-sequence model with a CNN to parse a world state and joint attention over input instruction sequences and world states.
Github: https://github.com/LauraRuis/multimodal_seq2seq_gSCAN
Paper: https://arxiv.org/abs/2003.05161
This repository contains a multi-modal neural sequence-to-sequence model with a CNN to parse a world state and joint attention over input instruction sequences and world states.
Github: https://github.com/LauraRuis/multimodal_seq2seq_gSCAN
Paper: https://arxiv.org/abs/2003.05161
Higher accuracy on vision models with EfficientNet-Lite
https://blog.tensorflow.org/2020/03/higher-accuracy-on-vision-models-with-efficientnet-lite.html
Paper: https://arxiv.org/abs/1905.11946
https://blog.tensorflow.org/2020/03/higher-accuracy-on-vision-models-with-efficientnet-lite.html
Paper: https://arxiv.org/abs/1905.11946
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features
https://github.com/aosokin/os2d
Paper: https://arxiv.org/abs/2003.06800v1
https://github.com/aosokin/os2d
Paper: https://arxiv.org/abs/2003.06800v1
Basic Data Cleaning for Machine Learning (That You Must Perform)
https://machinelearningmastery.com/basic-data-cleaning-for-machine-learning/
https://machinelearningmastery.com/basic-data-cleaning-for-machine-learning/
Visual Transfer Learning for Robotic Manipulation
https://ai.googleblog.com/2020/03/visual-transfer-learning-for-robotic.html
Video: https://www.youtube.com/watch?v=7tFO2V0sYJg&feature=emb_logo
https://ai.googleblog.com/2020/03/visual-transfer-learning-for-robotic.html
Video: https://www.youtube.com/watch?v=7tFO2V0sYJg&feature=emb_logo
Google AI Blog
Visual Transfer Learning for Robotic Manipulation
Posted by Yen-Chen Lin, Research Intern and Andy Zeng, Research Scientist, Robotics at Google The idea that robots can learn to directl...
Semantic Pyramid for Image Generation
Github: https://semantic-pyramid.github.io
Paper: https://arxiv.org/abs/2003.06221
Github: https://semantic-pyramid.github.io
Paper: https://arxiv.org/abs/2003.06221
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Massively Scaling Reinforcement Learning with SEED RL
https://ai.googleblog.com/2020/03/massively-scaling-reinforcement.html
Paper: https://arxiv.org/abs/1910.06591
https://ai.googleblog.com/2020/03/massively-scaling-reinforcement.html
Paper: https://arxiv.org/abs/1910.06591
An AI program that plays Flappy Bird using reinforcement learning.
Code: https://github.com/taivu1998/FlapAI-Bird
Model: https://stanford-cs221.github.io/autumn2019-extra/posters/18.pdf
Paper: https://arxiv.org/abs/2003.09579
Code: https://github.com/taivu1998/FlapAI-Bird
Model: https://stanford-cs221.github.io/autumn2019-extra/posters/18.pdf
Paper: https://arxiv.org/abs/2003.09579
GitHub
GitHub - taivu1998/FlapAI-Bird: An AI program that plays Flappy Bird using reinforcement learning.
An AI program that plays Flappy Bird using reinforcement learning. - taivu1998/FlapAI-Bird