1 code implementation • 6 Feb 2024 • Albert Tseng, Jerry Chee, Qingyao Sun, Volodymyr Kuleshov, Christopher De Sa
Second, QuIP# uses vector quantization techniques to take advantage of the ball-shaped sub-Gaussian distribution that incoherent weights possess: specifically, we introduce a set of hardware-efficient codebooks based on the highly symmetric $E_8$ lattice, which achieves the optimal 8-dimension unit ball packing.
1 code implementation • NeurIPS 2023 • Albert Tseng, Tao Yu, Toni J. B. Liu, Christopher De Sa
These networks rely heavily on the dot product attention operator, which computes the similarity between two points by taking their inner product.
1 code implementation • 24 May 2023 • Tao Yu, Toni J. B. Liu, Albert Tseng, Christopher De Sa
Specifically, we model partial orders as subset relations between shadows formed by a light source and opaque objects in hyperbolic space.
1 code implementation • CVPR 2022 • Albert Tseng, Jennifer J. Sun, Yisong Yue
We evaluate AutoSWAP in three behavior analysis domains and demonstrate that AutoSWAP outperforms existing approaches using only a fraction of the data.
2 code implementations • ICML 2020 • Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew Hausknecht
We study the problem of controllable generation of long-term sequential behaviors, where the goal is to calibrate to multiple behavior styles simultaneously.