In Honour of This Year's NeurIPs Test of Time Paper Awardees
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2
Jaward Sesay
Jaward
AI & ML interests
I like to train large deep neural nets too 🧠🤖💥 | First Paper (AutoAgents: A Framework for Automatic Agent Generation) Accepted @ IJCAI 2024 | Role Model Karpathy
Recent Activity
posted
an
update
about 3 hours ago
ByteDance drops OmniHuman🔥
This is peak SOTA performance - flawless natural gestures with perfect lip sync and facial expressions. This is the second time they released SOTA level talking-heads only this time with hands and body motion.
Project: https://omnihuman-lab.github.io/
upvoted
a
paper
about 4 hours ago
Process Reinforcement through Implicit Rewards
upvoted
a
paper
about 5 hours ago
OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human
Animation Models
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102
ByteDance drops OmniHuman🔥
This is peak SOTA performance - flawless natural gestures with perfect lip sync and facial expressions. This is the second time they released SOTA level talking-heads only this time with hands and body motion.
Project: https://omnihuman-lab.github.io/
This is peak SOTA performance - flawless natural gestures with perfect lip sync and facial expressions. This is the second time they released SOTA level talking-heads only this time with hands and body motion.
Project: https://omnihuman-lab.github.io/
Post
1383
The beauty in GRPO is the fact that it doesn’t care if the rewards are rule-based or learned, the hack: let the data self-normalize— trajectories in a batch compete against their mean, no value model, no extra params, just clean, efficient RL that cuts memory usage by 50%, while maintaining SOTA performance. btw it was introduced 9months prior to R1: arxiv.org/pdf/2402.03300
Papers
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