Zobrazeno 1 - 10
of 19 111
pro vyhledávání: '"Smith, James"'
Autor:
Smith, James Seale, Valkov, Lazar, Halbe, Shaunak, Gutta, Vyshnavi, Feris, Rogerio, Kira, Zsolt, Karlinsky, Leonid
Foundation Models (FMs) have become the hallmark of modern AI, however, these models are trained on massive data, leading to financially expensive training. Updating FMs as new data becomes available is important, however, can lead to `catastrophic f
Externí odkaz:
http://arxiv.org/abs/2404.12526
Autor:
Ramiah, Preetha, Smith, James Q., Bunnin, Oliver, Liverani, Silvia, Addison, Jamie, Whipp, Annabel
Probabilistic Graphical Bayesian models of causation have continued to impact on strategic analyses designed to help evaluate the efficacy of different interventions on systems. However, the standard causal algebras upon which these inferences are ba
Externí odkaz:
http://arxiv.org/abs/2404.03957
Autor:
Smith, James
These notes derive aperiodic monotiles (arXiv:2303.10798) from a set of rhombuses with matching rules. This dual construction is used to simplify the proof of aperiodicity by considering the tiling as a colouring game on a Rhombille tiling. A simple
Externí odkaz:
http://arxiv.org/abs/2403.01911
Autor:
Smith, James E.
An agent employing reinforcement learning takes inputs (state variables) from an environment and performs actions that affect the environment in order to achieve some objective. Rewards (positive or negative) guide the agent toward improved future ac
Externí odkaz:
http://arxiv.org/abs/2402.18472
Recent work has demonstrated a remarkable ability to customize text-to-image diffusion models to multiple, fine-grained concepts in a sequential (i.e., continual) manner while only providing a few example images for each concept. This setting is know
Externí odkaz:
http://arxiv.org/abs/2311.18763
Autor:
Ellis, Louise A, Lee, Matthew D, Ijaz, Kiran, Smith, James, Braithwaite, Jeffrey, Yin, Kathleen
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 12, p e25117 (2020)
BackgroundLocation-based augmented reality (AR) games, such as Pokémon GO and Harry Potter: Wizards Unite, have been shown to have a beneficial impact on the physical activity, social connectedness, and mental health of their players. In March 2020,
Externí odkaz:
https://doaj.org/article/af0c3b06293047858a41297ec4c41120
Robust fine-tuning aims to achieve competitive in-distribution (ID) performance while maintaining the out-of-distribution (OOD) robustness of a pre-trained model when transferring it to a downstream task. Recently, projected gradient descent has been
Externí odkaz:
http://arxiv.org/abs/2310.19182
Autor:
Cifuentes, Jesus D., Tanttu, Tuomo, Steinacker, Paul, Serrano, Santiago, Hansen, Ingvild, Slack-Smith, James P., Gilbert, Will, Huang, Jonathan Y., Vahapoglu, Ensar, Leon, Ross C. C., Stuyck, Nard Dumoulin, Itoh, Kohei, Abrosimov, Nikolay, Pohl, Hans-Joachim, Thewalt, Michael, Laucht, Arne, Yang, Chih Hwan, Escott, Christopher C., Hudson, Fay E., Lim, Wee Han, Rahman, Rajib, Dzurak, Andrew S., Saraiva, Andre
Quantum processors based on integrated nanoscale silicon spin qubits are a promising platform for highly scalable quantum computation. Current CMOS spin qubit processors consist of dense gate arrays to define the quantum dots, making them susceptible
Externí odkaz:
http://arxiv.org/abs/2309.01849