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I'm very interested in your paper “Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving”. Can you provide the corresponding code? Thank you very much…
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## 0. Paper
@article{arora-etal-2020-learning,
title = "Learning Lexical Subspaces in a Distributional Vector Space",
author = "Arora, Kushal and
Chakraborty, Aishik and
Che…
a1da4 updated
2 years ago
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Acredito que há o que aprender com esse trabalho. Essa noção de hierarquia lembra as subnets do #43. A noção de componentes faciais provavelmente inspirou o #51. E se tivéssemos subnets para cada comp…
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When pytorch is 1.7 in oneAPI AI toolkit, there is error in running case:
```
cd models/models/image_recognition/pytorch/common/
python main.py -d /home/wj/ImageNet/data/all -a resnet50 --epochs 10…
arthw updated
5 months ago
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3-mode
aka multilinear subspace learning
Tucker decomposition
https://en.wikipedia.org/wiki/Multilinear_principal_component_analysis
my data is an n-array!
Tucker in 1966
then Kroonenberg
they …
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Hi chicleee,
Thanks for the great job in advance.
To the best of my knowledge, I believe the repository lacks certain deep-homography and optical flow based methods and datasets.
Including, b…
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### Description
cord.js is an SDK to connect to CORD. We have a requirement to write the same SDK in Python.
As part of this we have to first create the core SDK modules that include the DID and Cha…
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Kindly Share your code in this paper.
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[Convergent Learning: Do different neural networks learn the same representations?](http://proceedings.mlr.press/v44/li15convergent.html)
Recent successes in training large, deep neural networks (DNN…