Zobrazeno 1 - 10
of 811
pro vyhledávání: '"Wong, Justin"'
Autor:
Mora, Federico, Wong, Justin, Lepe, Haley, Bhatia, Sahil, Elmaaroufi, Karim, Varghese, George, Gonzalez, Joseph E., Polgreen, Elizabeth, Seshia, Sanjit A.
Recent advances in large language models (LLMs) for code applications have demonstrated remarkable zero-shot fluency and instruction following on challenging code related tasks ranging from test case generation to self-repair. Unsurprisingly, however
Externí odkaz:
http://arxiv.org/abs/2406.03636
Autor:
Luo, Michael, Wong, Justin, Trabucco, Brandon, Huang, Yanping, Gonzalez, Joseph E., Chen, Zhifeng, Salakhutdinov, Ruslan, Stoica, Ion
Beyond scaling base models with more data or parameters, fine-tuned adapters provide an alternative way to generate high fidelity, custom images at reduced costs. As such, adapters have been widely adopted by open-source communities, accumulating a d
Externí odkaz:
http://arxiv.org/abs/2404.18928
Generative AI has put many professional writers on the defensive; a major negotiation point of the recent Writers Guild of America's strike concerned use of AI. However, must AI threaten writers, their livelihoods or their creativity? And under what
Externí odkaz:
http://arxiv.org/abs/2404.13165
Reinforcement learning has seen wide success in finetuning large language models to better align with instructions via human feedback. The so-called algorithm, Reinforcement Learning with Human Feedback (RLHF) demonstrates impressive performance on t
Externí odkaz:
http://arxiv.org/abs/2302.05206
Autor:
Sela, Gur-Eyal, Gog, Ionel, Wong, Justin, Agrawal, Kumar Krishna, Mo, Xiangxi, Kalra, Sukrit, Schafhalter, Peter, Leong, Eric, Wang, Xin, Balaji, Bharathan, Gonzalez, Joseph, Stoica, Ion
Efficient vision works maximize accuracy under a latency budget. These works evaluate accuracy offline, one image at a time. However, real-time vision applications like autonomous driving operate in streaming settings, where ground truth changes betw
Externí odkaz:
http://arxiv.org/abs/2208.07479
Autor:
Mehravar, Majid, Wong, Justin J-L *
Publikováno v:
In Current Opinion in Genetics & Development August 2024 87
Autor:
Guan, Angel1,2 (AUTHOR), Wong, Justin J.‐L.1,2 (AUTHOR) justin.wong@sydney.edu.au
Publikováno v:
Cancer Medicine. Apr2024, Vol. 13 Issue 7, p1-30. 30p.
Autor:
Viswanadha, Kesav, Indaheng, Francis, Wong, Justin, Kim, Edward, Kalvan, Ellen, Pant, Yash, Fremont, Daniel J., Seshia, Sanjit A.
This paper summarizes our formal approach to testing autonomous vehicles (AVs) in simulation for the IEEE AV Test Challenge. We demonstrate a systematic testing framework leveraging our previous work on formally-driven simulation for intelligent cybe
Externí odkaz:
http://arxiv.org/abs/2108.13796
Autor:
Lau, Richard, Yao, Lihan, Huster, Todd, Johnson, William, Arleth, Stephen, Wong, Justin, Ridge, Devin, Fletcher, Michael, Headley, William C.
This paper describes a systematic approach towards building a new family of neural networks based on a delay-loop version of a reservoir neural network. The resulting architecture, called Scaled-Time-Attention Robust Edge (STARE) network, exploits hy
Externí odkaz:
http://arxiv.org/abs/2107.04688
Autor:
Wong, Justin, Damjakob, Dominik
We explore the usage of meta-learning to derive the causal direction between variables by optimizing over a measure of distribution simplicity. We incorporate a stochastic graph representation which includes latent variables and allows for more gener
Externí odkaz:
http://arxiv.org/abs/2106.05859