Zobrazeno 1 - 10
of 13 636
pro vyhledávání: '"Daisy, P."'
Autor:
Moya-Sánchez, E. Ulises, Mikail, Yazid S., Nyang'anyi, Daisy, Smith, Michael J., Smythe, Isabella
Machine learning has great potential to increase crop production and resilience to climate change. Accurate maps of where crops are grown are a key input to a number of downstream policy and research applications. In this proposal, we present prelimi
Externí odkaz:
http://arxiv.org/abs/2411.02627
Autor:
Battenberg, Eric, Skerry-Ryan, RJ, Stanton, Daisy, Mariooryad, Soroosh, Shannon, Matt, Salazar, Julian, Kao, David
Autoregressive (AR) Transformer-based sequence models are known to have difficulty generalizing to sequences longer than those seen during training. When applied to text-to-speech (TTS), these models tend to drop or repeat words or produce erratic ou
Externí odkaz:
http://arxiv.org/abs/2410.22179
Autor:
Chen, Daisy
Low-dose computed tomography (LDCT) aims to minimize the radiation exposure to patients while maintaining diagnostic image quality. However, traditional CT reconstruction algorithms often struggle with the ill-posed nature of the problem, resulting i
Externí odkaz:
http://arxiv.org/abs/2410.11903
We propose Cooperative Component Analysis (CoCA), a new method for unsupervised multi-view analysis: it identifies the component that simultaneously captures significant within-view variance and exhibits strong cross-view correlation. The challenge o
Externí odkaz:
http://arxiv.org/abs/2407.16870
Question answering (QA) over tables and text has gained much popularity over the years. Multi-hop table-text QA requires multiple hops between the table and text, making it a challenging QA task. Although several works have attempted to solve the tab
Externí odkaz:
http://arxiv.org/abs/2406.14732
Autor:
Wixson, Troy P., Shaby, Benjamin A., Philtron, Daisy L., Consortium, International Parkinson Disease Genomics, Lima, Leandro A., Wyman, Stacia K., Kaye, Julia A., Finkbeiner, Steven
We seek to identify genes involved in Parkinson's Disease (PD) by combining information across different experiment types. Each experiment, taken individually, may contain too little information to distinguish some important genes from incidental one
Externí odkaz:
http://arxiv.org/abs/2406.05262
Autor:
Dholakia, Shishir, Palethorpe, Larissa, Venner, Alexander, Mortier, Annelies, Wilson, Thomas G., Huang, Chelsea X., Rice, Ken, Van Eylen, Vincent, Nabbie, Emma, Cloutier, Ryan, Boschin, Walter, Ciardi, David, Delrez, Laetitia, Dransfield, Georgina, Ducrot, Elsa, Essack, Zahra, Everett, Mark E., Gillon, Michaël, Hooton, Matthew J., Kunimoto, Michelle, Latham, David W., López-Morales, Mercedes, Li, Bin, Li, Fan, McDermott, Scott, Murphy, Simon, Murray, Catriona A., Seager, Sara, Timmermans, Mathilde, Triaud, Amaury, Turner, Daisy A., Twicken, Joseph D., Vanderburg, Andrew, Wang, Su, Wittenmyer, Robert A., Wright, Duncan
We report on the discovery of Gliese 12 b, the nearest transiting temperate, Earth-sized planet found to date. Gliese 12 is a bright ($V=12.6$ mag, $K=7.8$ mag) metal-poor M4V star only $12.162\pm0.005$ pc away from the Solar System with one of the l
Externí odkaz:
http://arxiv.org/abs/2405.13118
Autor:
Emezue, Chris Chinenye, Okoh, Ifeoma, Mbonu, Chinedu, Chukwuneke, Chiamaka, Lal, Daisy, Ezeani, Ignatius, Rayson, Paul, Onwuzulike, Ijemma, Okeke, Chukwuma, Nweya, Gerald, Ogbonna, Bright, Oraegbunam, Chukwuebuka, Awo-Ndubuisi, Esther Chidinma, Osuagwu, Akudo Amarachukwu, Nmezi, Obioha
The Igbo language is facing a risk of becoming endangered, as indicated by a 2025 UNESCO study. This highlights the need to develop language technologies for Igbo to foster communication, learning and preservation. To create robust, impactful, and wi
Externí odkaz:
http://arxiv.org/abs/2405.00997
In recent research, contrastive learning has proven to be a highly effective method for representation learning and is widely used for dense retrieval. However, we identify that relying solely on contrastive learning can lead to suboptimal retrieval
Externí odkaz:
http://arxiv.org/abs/2403.14074
Large language model (LLM) has marked a pivotal moment in the field of machine learning and deep learning. Recently its capability for query planning has been investigated, including both single-modal and multi-modal queries. However, there is no wor
Externí odkaz:
http://arxiv.org/abs/2403.13597