49:49
Research Paper Explained - Neural Text To Speech basics: Tacotron2!
24:53
Exponentially Faster MLPs! Research Paper Explained: FastFeedForward Neural Networks (FFF)
24:43
Run LLM's for infinite length! Research Paper Explained - StreamingLLM
37:51
Stable Diffusion in a single step! Research Paper Explained : Instaflow
57:02
Making attention go brrr! Research paper explained : FlashAttention V1&2
26:29
Make your LLMs 98% Cheaper! Research Paper Explained: FrugalGPT
37:30
Neural Networks as Differential Equations : Neural ODEs Paper Explained
30:50
Edit images using instructions : InstructPix2Pix, Research Paper Expalined!
26:53
Edit images using text! Prompt-to-Prompt - Research Paper Explained
24:00
DreamBooth: Finetuning Large Diffusion models! Research Paper Explained
40:22
Teaching Large Diffusion Models how to paint your cat using Textual Inversion
48:12
RL using Diffusion Models! Planning with diffusion for flexible behavior sythesis
40:10
Evolving Reinforcement Learning Algorithms - Research Paper Explained
47:40
On the Expressivity of Markov Reward [NeurIPS 2021 Outstanding Paper] - Research Paper Explained!
01:29:32
Research Paper Explained - Open-Ended Learning Leads to Generally Capable Agents
37:52
Research Paper Explained - Curiosity-driven Exploration by Self-supervised Prediction
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About
Hey there, I hope you're safe and your day is going great! I am Ayush Mangal, a Data & Applied Scientist @ Microsoft Hyderabad. While I am very passionate about AI and have fiddled around with some DL research in my undergrad, I like learning about anything and everything, from core CS concepts, to interesting business insights, to quirky philosophical discussions. I am a budding reader, occasional writer and oh, totally an anime fan :P
I made this channel as a way to keep connected with the research world, regardless of what career path I take in the future. I will try to post videos focusing research from various CS fields, majorly focusing on Deep Learning, but I'll try to sometimes post stuff from other CS fields as well.
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