Zobrazeno 1 - 10
of 2 597
pro vyhledávání: '"Sojka P"'
Inspired by the legal doctrine of stare decisis, which leverages precedents (prior cases) for informed decision-making, we explore methods to integrate them into LJP models. To facilitate precedent retrieval, we train a retriever with a fine-grained
Externí odkaz:
http://arxiv.org/abs/2409.18644
Autor:
Alqahtani, Amjad, Henry, DaVonne, Havlíček, Lubomír, Marie, Luke St., Hrubý, Jakub, Sojka, Antonín, Hale, Morgan, Felsenfeld, Samuel, Fatimy, Abdelouahad El, Myers-Ward, Rachael L., Gaskill, D. Kurt, Nemec, Ivan, Neugebauer, Petr, Liu, Amy Y., Barbara, Paola
Single-molecule magnets (SMMs) with chemically tailorable properties are potential building blocks for quantum computing, high-density magnetic memory, and spintronics.1 2 3,4 These applications require isolated or few molecules on substrates, but st
Externí odkaz:
http://arxiv.org/abs/2407.21156
Test-Time Adaptation (TTA) has recently emerged as a promising strategy for tackling the problem of machine learning model robustness under distribution shifts by adapting the model during inference without access to any labels. Because of task diffi
Externí odkaz:
http://arxiv.org/abs/2407.14231
Autor:
Sojka, Bartosz, Swiezewska, Bogumila
Models with classical scale symmetry, which feature radiative symmetry breaking, generically lead to a supercooled first-order phase transition in the early Universe resulting in a strong gravitational-wave signal, potentially observable by LISA. Thi
Externí odkaz:
http://arxiv.org/abs/2407.07437
Automated driving systems are an integral part of the automotive industry. Tools such as Robot Operating System and simulators support their development. However, in the end, the developers must test their algorithms on a real vehicle. To better obse
Externí odkaz:
http://arxiv.org/abs/2405.13705
Publikováno v:
Exp. Fluids 56 (2015) 1-13
The current study focuses on experimentally and theoretically improving the characterization of the drop size and drop velocity for like-on-like doublet impinging jets. The experimental measurements were made using phase Doppler anemometry (PDA) at j
Externí odkaz:
http://arxiv.org/abs/2405.08259
Many recent language models (LMs) are capable of in-context learning (ICL), manifested in the LMs' ability to perform a new task solely from natural-language instruction. Previous work curating in-context learners assumes that ICL emerges from a vast
Externí odkaz:
http://arxiv.org/abs/2403.09703
Automated parking is a self-driving feature that has been in cars for several years. Parking assistants in currently sold cars fail to park in more complex real-world scenarios and require the driver to move the car to an expected starting position b
Externí odkaz:
http://arxiv.org/abs/2310.20518
Autor:
Sójka, Damian, Liu, Yuyang, Goswami, Dipam, Cygert, Sebastian, Twardowski, Bartłomiej, van de Weijer, Joost
The goal of the challenge is to develop a test-time adaptation (TTA) method, which could adapt the model to gradually changing domains in video sequences for semantic segmentation task. It is based on a synthetic driving video dataset - SHIFT. The so
Externí odkaz:
http://arxiv.org/abs/2310.13533
Test-time adaptation is a promising research direction that allows the source model to adapt itself to changes in data distribution without any supervision. Yet, current methods are usually evaluated on benchmarks that are only a simplification of re
Externí odkaz:
http://arxiv.org/abs/2309.10109