Neural network, Unsupervised learning, Machine learning, Artificial neural network, Artificial intelligence, Transformation matrix

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On Oct 27, 2020
@etzioni shared
RT @RoozbehMottaghi: In this recent paper in our Learning by Interaction series, we try to answer the following question: "Can we learn about objects and their properties just by self-supervised interactions?" #NeurIPS2020 Paper: https://t.co/NNyczVDmuv Code: https://t.co/HhOmLtaqpS https://t.co/zVcPaRi2di
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Self-supervised object discovery with attribute estimation poses several challenges: (1) Sparse supervision: Supervised learning frameworks typically provide dense annotations. 3 UNet 128x100x100 1x100x100 3x100x100 16x100x100 Interaction Score Force logits Embedding Action Selection ...

arxiv.org
On Oct 27, 2020
@etzioni shared
RT @RoozbehMottaghi: In this recent paper in our Learning by Interaction series, we try to answer the following question: "Can we learn about objects and their properties just by self-supervised interactions?" #NeurIPS2020 Paper: https://t.co/NNyczVDmuv Code: https://t.co/HhOmLtaqpS https://t.co/zVcPaRi2di
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Self-supervised object discovery with attribute estimation poses several challenges: (1) Sparse supervision: Supervised learning frameworks typically provide dense annotations. 3 UNet ...

Learning to Infer Graphics Programs from Hand-Drawn Images

Learning to Infer Graphics Programs from Hand-Drawn Images

Image (Observed) line , line , rectangle , line , ... Spec/Drawing Commands (Latent) for (j < 3) for (i < 3) if (...) line (...) line (...) rectangle (...) Program (Latent) Extrapolation ...

Stacked Capsule Autoencoders

Stacked Capsule Autoencoders

Objects play a central role in computer vision and, increasingly, machine learning research.With many applications depending on object detection in images an...

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Though progress has been made on the understanding of the recipe-to-image mapping using multi- modal embeddings [6, 39], remaining challenges include (i) the reconstruction of the correct ...

PyTorch-GAN

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks. - eriklindernoren/PyTorch-GAN

Machine learning for quantum matter

Machine learning for quantum matter

(2020). Machine learning for quantum matter. Advances in Physics: X: Vol. 5, No. 1, 1797528.

#AAAI20 Turing Award session: Bengio, Hinton and LeCun talk about their research

#AAAI20 Turing Award session: Bengio, Hinton and LeCun talk about their research

#AAAI20 Turing Award session: Bengio, Hinton and LeCun talk about their research

Top 20 Recent Research Papers on Machine Learning and Deep Learning

Top 20 Recent Research Papers on Machine Learning and Deep Learning

However, we see strong diversity - only one author (Yoshua Bengio) has 2 papers, and the papers were published in many different venues: CoRR (3), ECCV (3), IEEE CVPR (3), NIPS (2), ACM ...