activity
20232025
most citedRing Attention with Blockwise Transformers for Near-Infinite Context

14 citations · 30 across the 12 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.GR2023

Motion-Conditioned Image Animation for Video Editing

Wilson Yan, Andrew Brown, Pieter Abbeel +2

We introduce MoCA, a Motion-Conditioned Image Animation approach for video editing. It leverages a simple decomposition of the video editing problem into image editing followed by…

cs.CL2023★ 14 cited

Ring Attention with Blockwise Transformers for Near-Infinite Context

Hao Liu, Matei Zaharia, Pieter Abbeel

Transformers have emerged as the architecture of choice for many state-of-the-art AI models, showcasing exceptional performance across a wide range of AI applications. However, the…

cs.CL2023

Exploration with Principles for Diverse AI Supervision

Hao Liu, Matei Zaharia, Pieter Abbeel

Training large transformers using next-token prediction has given rise to groundbreaking advancements in AI. While this generative AI approach has produced impressive results, it h…

cs.RO2023

The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning

Carmelo Sferrazza, Younggyo Seo, Hao Liu +2

Humans rely on the synergy of their senses for most essential tasks. For tasks requiring object manipulation, we seamlessly and effectively exploit the complementarity of our sense…

cs.LG2023★ 1 cited

DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing

Vint Lee, Pieter Abbeel, Youngwoon Lee

Model-based reinforcement learning (MBRL) has gained much attention for its ability to learn complex behaviors in a sample-efficient way: planning actions by generating imaginary t…