The Moplah Files (Thread)
Dark chapter of India that was purposefully omitted from History books coz it expose hypocrisy of Gandhi, it burns fake narrative of Hindu Muslim unity. All Mslm know abt Moplah files but no hindu knows but today every Hindu will also know abt it.
1/n
Khilafat movement started by Mslm leaders of India against British. Their demands were to give back power to Caliphate of Ottoman
Till that time Gandhi had become the most prominent leader of India and Hindus had lot of faith in him.
On August 1st 1921, Police attempted to arrest Vadakkevittil Muhammed,
Moplah riots were not Hindu Muslim riots – Congress
A thread by @Infinity_Tarun
Only Truth
End of Thread
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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.
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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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