Zobrazeno 1 - 10
of 20 885
pro vyhledávání: '"DURRANT"'
English Language Arts as an Emancipatory Subject explores the changing nature and history of the English Language as an emancipatory subject, as well as how its current activities and projects address and challenge inequalities.Various forms of criti
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/95758
Autor:
Scott, Bradley, de Vries, Clarisse, Durrant, Aiden, Oren, Nir, Chadwick, Edward, Blana, Dimitra
In this study, we investigated whether transfer learning from macaque monkeys could improve human pose estimation. Current state-of-the-art pose estimation techniques, often employing deep neural networks, can match human annotation in non-clinical d
Externí odkaz:
http://arxiv.org/abs/2412.15966
Pruning of deep neural networks has been an effective technique for reducing model size while preserving most of the performance of dense networks, crucial for deploying models on memory and power-constrained devices. While recent sparse learning met
Externí odkaz:
http://arxiv.org/abs/2411.13545
Autor:
Jahangir, Reehab, Podjaski, Filip, Alimard, Paransa, Hillman, Sam A. J., Davidson, Stuart, Stoica, Stefan, Kafizas, Andreas, Naftaly, Mira, Durrant, James R.
Organic based semiconductor materials offer emerging and sustainable solutions for solar energy conversion technologies and electronics. However, knowledge of their intrinsic (photo)physical properties and light-matter interactions is often limited,
Externí odkaz:
http://arxiv.org/abs/2411.06226
Autor:
Hart, Lucy J. F., Angus, Fraser J., Li, Yin, Khaleed, Abdul, Durrant, James R., Djurišić, Aleksandra, Docampo, Pablo, Barnes, Piers R. F.
Many recent advances in metal halide perovskite solar cell (PSC) performance are attributed to surface treatments which passivate interfacial trap states, minimise charge recombination and boost photovoltages. Surprisingly, these photovoltages exceed
Externí odkaz:
http://arxiv.org/abs/2407.04523
Learning invariant representations has been the longstanding approach to self-supervised learning. However, recently progress has been made in preserving equivariant properties in representations, yet do so with highly prescribed architectures. In th
Externí odkaz:
http://arxiv.org/abs/2405.14386