no code implementations • 29 Apr 2024 • Michael Luo, Justin Wong, Brandon Trabucco, Yanping Huang, Joseph E. Gonzalez, Zhifeng Chen, Ruslan Salakhutdinov, Ion Stoica
This paper explores the problem of matching the prompt to a set of relevant adapters, built on recent work that highlight the performance gains of composing adapters.
1 code implementation • 10 Feb 2023 • Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez
In this paper, we consider an alternative approach: converting feedback to instruction by relabeling the original one and training the model for better alignment in a supervised manner.
1 code implementation • 16 Aug 2022 • Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica
These works evaluate accuracy offline, one image at a time.
no code implementations • 20 Aug 2021 • Kesav Viswanadha, Francis Indaheng, Justin Wong, Edward Kim, Ellen Kalvan, Yash Pant, Daniel J. Fremont, Sanjit A. Seshia
Sampling from an abstract scenario yields many different concrete scenarios which can be run as test cases for the AV.
no code implementations • 9 Jul 2021 • Richard Lau, Lihan Yao, Todd Huster, William Johnson, Stephen Arleth, Justin Wong, Devin Ridge, Michael Fletcher, William C. Headley
We demonstrate that STARE is applicable to a variety of applications with improved performance and lower implementation complexity.
no code implementations • 6 Jun 2021 • Justin Wong, Dominik Damjakob
This methodology demonstrates ability to infer the existence as well as the direction of a causal relationship between data distributions.
1 code implementation • 17 Mar 2020 • Jianan Yao, Gabriel Ryan, Justin Wong, Suman Jana, Ronghui Gu
In this paper, we introduce a new neural architecture for general SMT learning, the Gated Continuous Logic Network (G-CLN), and apply it to nonlinear loop invariant learning.
1 code implementation • ICLR 2020 • Gabriel Ryan, Justin Wong, Jianan Yao, Ronghui Gu, Suman Jana
We use CLNs to implement a new inference system for loop invariants, CLN2INV, that significantly outperforms existing approaches on the popular Code2Inv dataset.
no code implementations • 25 Aug 2015 • Justin Wong, Danny Ho, Luiz Fernando Capretz
This study introduces a method to improve the accuracy of backfiring.