When he reaches the Thayar sannidhi and attempts to go inside, the doors are shut and the Lord is not allowed inside.
Today Panguni Uththiram🙏😇🥰
Panguni Uthiram and Serthi Sevai:
On the day of Panguni Uthiram, Ranganathar starts to Ranganayaki Thayar sannidhi to wish on her birthday and he doesn't know what is waiting for him.
When he reaches the Thayar sannidhi and attempts to go inside, the doors are shut and the Lord is not allowed inside.
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How can we use language supervision to learn better visual representations for robotics?
Introducing Voltron: Language-Driven Representation Learning for Robotics!
Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z
🧵👇(1 / 12)
Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.
Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)
The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).
The secret is *balance* (3/12)
Starting with a masked autoencoder over frames from these video clips, make a choice:
1) Condition on language and improve our ability to reconstruct the scene.
2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)
By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.
Why is the ability to shape this balance important? (5/12)
Introducing Voltron: Language-Driven Representation Learning for Robotics!
Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z
🧵👇(1 / 12)
Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.
Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)
The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).
The secret is *balance* (3/12)
Starting with a masked autoencoder over frames from these video clips, make a choice:
1) Condition on language and improve our ability to reconstruct the scene.
2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)
By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.
Why is the ability to shape this balance important? (5/12)
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Joshua Hawley, Missouri's Junior Senator, is an autocrat in waiting.
His arrogance and ambition prohibit any allegiance to morality or character.
Thus far, his plan to seize the presidency has fallen into place.
An explanation in photographs.
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Joshua grew up in the next town over from mine, in Lexington, Missouri. A a teenager he wrote a column for the local paper, where he perfected his political condescension.
2/
By the time he reached high-school, however, he attended an elite private high-school 60 miles away in Kansas City.
This is a piece of his history he works to erase as he builds up his counterfeit image as a rural farm boy from a small town who grew up farming.
3/
After graduating from Rockhurst High School, he attended Stanford University where he wrote for the Stanford Review--a libertarian publication founded by Peter Thiel..
4/
(Full Link: https://t.co/zixs1HazLk)
Hawley's writing during his early 20s reveals that he wished for the curriculum at Stanford and other "liberal institutions" to change and to incorporate more conservative moral values.
This led him to create the "Freedom Forum."
5/
His arrogance and ambition prohibit any allegiance to morality or character.
Thus far, his plan to seize the presidency has fallen into place.
An explanation in photographs.
🧵
Joshua grew up in the next town over from mine, in Lexington, Missouri. A a teenager he wrote a column for the local paper, where he perfected his political condescension.
2/
By the time he reached high-school, however, he attended an elite private high-school 60 miles away in Kansas City.
This is a piece of his history he works to erase as he builds up his counterfeit image as a rural farm boy from a small town who grew up farming.
3/
After graduating from Rockhurst High School, he attended Stanford University where he wrote for the Stanford Review--a libertarian publication founded by Peter Thiel..
4/
(Full Link: https://t.co/zixs1HazLk)
Hawley's writing during his early 20s reveals that he wished for the curriculum at Stanford and other "liberal institutions" to change and to incorporate more conservative moral values.
This led him to create the "Freedom Forum."
5/