2020-07-20 · A Temporal Extension Library for PyTorch Geometric

deep-learning graph-convolutional-networks graph-neural-networks representation-learning

2020-06-14 · Introduce a series of effective graph-structured networks, including non-local neural networks, spatial generalized propagation networks, etc.

graph-neural-networks graph-structured-networks non-local-neural-networks spatial-generalized-propagation-networks

2020-08-02 · This blog post enlists a few of my favorite recipes in deep learning in the context of computer vision (as of August 2020).

self-supervised-learning simclr contrastive-learning representation-learning

2020-04-08 · How to load pretrained/finetuned SimCLR models from hub modules for fine-tuning.

simclr contrastive-learning self-supervised-learning representation-learning

2020-06-12 · Automatically extract data from structured documents—invoices, receipts, etc.—with the potential to streamline many business workflows.

structured-data representation-learning tables templatic-documents

2020-05-31 · Implements the ideas presented in Supervised Contrastive Learning (https://arxiv.org/pdf/2004.11362v1.pdf) by Khosla et al.

deep-learning representation-learning contrastive-learning supervised-contrastive-learning

2020-05-08 · (Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

self-supervised-learning representation-learning deep-learning computer-vision

2019-11-10 · What if we can get labels for free for unlabelled data and train unsupervised dataset in a supervised manner?

self-supervised-learning representation-learning generative-modeling object-recognition

2019-09-03 · The evolution of representations of individual tokens in Transformers trained with different training objectives (MT, LM, MLM - BERT-style).

transformers representation-learning representations natural-language-processing

2020-05-11 · Semi-Supervised Representation Learning from Surgical Videos

motion-estimation semi-supervised-learning representation-learning surgery

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