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Prikvačeni tweet
Last week, I graduated from
@NTUsg with a Bachelor’s in CS, and had the good fortune to be chosen Valedictorian of my cohort. Through my speech, I wanted to highlight the importance of building and growing our communities, and how they shape us:https://medium.com/@chaitjo/my-valedictory-speech-at-ntu-convocation-2019-33ffa8e53d2?sk=cfa4b8bd50a5f6dcd56aa676b0faade6 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
These days, I'm very interested in generalization x RL x games! Also related: https://arxiv.org/abs/1910.00571 https://twitter.com/togelius/status/1223403839354822656 …
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Yoshua Bengio talked about something I always secretly wondered: Why so many Deep Learning pioneers are French/from French speaking backgrounds!
https://www.youtube.com/watch?v=PHhFI8JexLg …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Chaitanya Joshi proslijedio/la je Tweet
An Opinionated Guide to ML Research: “To make breakthroughs with idea-driven research, you need to develop an exceptionally deep understanding of your subject, and a perspective that diverges from the rest of the community—some can do it, but it’s hard.” http://joschu.net/blog/opinionated-guide-ml-research.html …pic.twitter.com/fyO6cyr9im
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Chaitanya Joshi proslijedio/la je Tweet
Yo
@Transfermarkt change my transfer history with "Almost@FCBarcelona" please
No matter what happens we trust the process.
Thank God for everything
See you an other time @AntoGriezmann
https://twitter.com/esport3/status/1222976525823168513 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Chaitanya Joshi proslijedio/la je Tweet
As far as current machine learning is concerned, generalization originates from the ability to learn the latent manifold on which the training data lies, i.e. the ability to interpolate between training samples (local generalization, by definition)
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Chaitanya Joshi proslijedio/la je Tweet
The Travelling salesman problem is one of the most well know NP-hard problem. Concorde’s solver can be used to solve exactly or approximately even large instances. http://www.math.uwaterloo.ca/tsp/index.html pic.twitter.com/EMA0tF982Z
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Loving GPU/CPU Dashboards from
@rapidsai in@ProjectJupyter Lab! Install the extension in 2 lines: https://medium.com/rapids-ai/gpu-dashboards-in-jupyter-lab-757b17aae1d5 …pic.twitter.com/xMTqY8h9Sr
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Chaitanya Joshi proslijedio/la je Tweet
All-in-One Image-Grounded Conversational Agents https://arxiv.org/abs/1912.12394
@DexterJu27, Kurt Shuster, Y-Lan Boureau,@jaseweston A single conversational agent that can 'see' and 'talk' -- that does well on COCO Captions, Flickr30k, Image Chat, Personality Captions, IGC and VQA.pic.twitter.com/WnVV2hHRXl
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Chaitanya Joshi proslijedio/la je Tweet
On the Relationship between Self-Attention and Convolutional Layers This work shows that attention layers can perform convolution and that they often learn to do so in practice. They also prove that a self-attention layer is as expressive as a conv layer. https://openreview.net/forum?id=HJlnC1rKPB …pic.twitter.com/iqioR9eXzU
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Chaitanya Joshi proslijedio/la je Tweet
Very happy to share our latest work accepted at
#ICRL2020: we prove that a Self-Attention layer can express any CNN layer. 1/5
Paper: https://openreview.net/pdf?id=HJlnC1rKPB …
Interactive website : https://epfml.github.io/attention-cnn/
Code: https://github.com/epfml/attention-cnn …
Blog: http://jbcordonnier.com/posts/attention-cnn/ …pic.twitter.com/X1rNS1JvPtPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
New pre-print: Drawings/sketches can be seen as a set of points and strokes. But 'vanilla' Transformers from NLP are unable to learn good representations. We inject domain knowledge + useful inductive bias into Transformers through sketch-specific graphs. https://arxiv.org/pdf/1912.11258 https://twitter.com/arXiv_Daily/status/1209884224913723392 …
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Reformer, overcoming the memory explosion of `batch_size x seq_len x seq_len`:https://openreview.net/forum?id=rkgNKkHtvB …
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Chaitanya Joshi proslijedio/la je Tweet
Someone told me once: You can do AI or you can just talk about it.
#AIDebateHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
The worlds of GNNs and NLP coming together.https://twitter.com/soujanyaporia/status/1208955068667461632 …
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I think it was a highlight for all of us as well! Thank you for the inspiration,
@OriolVinyalsML :) https://twitter.com/OriolVinyalsML/status/1205510879715844099 …pic.twitter.com/w2fZbl8dCj
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Really enjoy
@GuillaumeLample's work. Esp. the ideas on Generalization are similar to how high school students practice/learn through simple integrals and can solve more challenging/complex ones in examinations!https://twitter.com/GuillaumeLample/status/1202178956063064064 …
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Chaitanya Joshi proslijedio/la je Tweet
My second blog post is out! As with my first blog post, I experiment with
#explainable_ai to see what happens when you mask out the unimportant parts of an image. Will state-of-the-art neural networks still achieve high accuracy? Take a look to find out!https://seansaito.github.io/2019/12/03/masked-accuracy/ …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Thread on the history of super-resolution zoom. Its amazing how much research goes into each small feature in modern technology!https://twitter.com/docmilanfar/status/1198862133821231104 …
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Chaitanya Joshi proslijedio/la je Tweet
More papers added recently. Now the papers can be sorted by both topics and conferences. https://twitter.com/tangjianpku/status/1147154523686707200 …pic.twitter.com/U0In6uS8pX
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Chaitanya Joshi proslijedio/la je Tweet
Excited to share our work on Contrastive Learning of Structured World Models! C-SWMs learn object-factorized models & discover objects without supervision, using a simple loss inspired by work on graph embeddings Paper: http://arxiv.org/abs/1911.12247 Code: https://github.com/tkipf/c-swm 1/5pic.twitter.com/2n38bhOaKc
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El davanter volava camí de Barcelona i va haver de fer mitja volta 