Zobrazeno 1 - 10
of 9 874
pro vyhledávání: '"Gowda, P. P."'
This paper introduces mmWave-Whisper, a system that demonstrates the feasibility of full-corpus automated speech recognition (ASR) on phone calls eavesdropped remotely using off-the-shelf frequency modulated continuous wave (FMCW) millimeter-wave rad
Externí odkaz:
http://arxiv.org/abs/2410.17457
Autor:
Bansal, Shubhi, Gowda, Kushaan, Rehman, Mohammad Zia Ur, Raghaw, Chandravardhan Singh, Kumar, Nagendra
Due to the growing volume of user generated content, hashtags are employed as topic indicators to manage content efficiently on social media platforms. However, finding these vital topics is challenging in microvideos since they contain substantial i
Externí odkaz:
http://arxiv.org/abs/2410.10367
Zero-shot action recognition requires a strong ability to generalize from pre-training and seen classes to novel unseen classes. Similarly, continual learning aims to develop models that can generalize effectively and learn new tasks without forgetti
Externí odkaz:
http://arxiv.org/abs/2410.10497
We introduce homological measurement, a framework for measuring the logical Pauli operators encoded in CSS stabilizer codes. The framework is based on the algebraic description of such codes as chain complexes. Protocols such as lattice surgery some
Externí odkaz:
http://arxiv.org/abs/2410.02753
Autor:
Gowda, Harshavardhana T., Kaul, Neha, Carrasco, Carlos, Battraw, Marcus A., Amer, Safa, Kotwal, Saniya, Lam, Selena, McNaughton, Zachary, Rahimi, Ferdous, Shehabi, Sana, Schofield, Jonathon S., Miller, Lee M.
Brain-body-computer interfaces aim to provide a fluid and natural way for humans to interact with technology. Among noninvasive interfaces, surface electromyogram (sEMG) signals have shown particular utility. However, much remains unknown about how s
Externí odkaz:
http://arxiv.org/abs/2409.19939
The deep learning language of choice these days is Python; measured by factors such as available libraries and technical support, it is hard to beat. At the same time, software written in lower-level programming languages like C++ retain advantages i
Externí odkaz:
http://arxiv.org/abs/2408.11853
Utilizing large pre-trained models for specific tasks has yielded impressive results. However, fully fine-tuning these increasingly large models is becoming prohibitively resource-intensive. This has led to a focus on more parameter-efficient transfe
Externí odkaz:
http://arxiv.org/abs/2408.02421
Autor:
Gowda, Shreyank N, Clifton, David A.
The Segment Anything Model (SAM) has achieved remarkable successes in the realm of natural image segmentation, but its deployment in the medical imaging sphere has encountered challenges. Specifically, the model struggles with medical images that fea
Externí odkaz:
http://arxiv.org/abs/2408.00181
Autor:
Kocmi, Tom, Avramidis, Eleftherios, Bawden, Rachel, Bojar, Ondrej, Dvorkovich, Anton, Federmann, Christian, Fishel, Mark, Freitag, Markus, Gowda, Thamme, Grundkiewicz, Roman, Haddow, Barry, Karpinska, Marzena, Koehn, Philipp, Marie, Benjamin, Murray, Kenton, Nagata, Masaaki, Popel, Martin, Popovic, Maja, Shmatova, Mariya, Steingrímsson, Steinþór, Zouhar, Vilém
This is the preliminary ranking of WMT24 General MT systems based on automatic metrics. The official ranking will be a human evaluation, which is superior to the automatic ranking and supersedes it. The purpose of this report is not to interpret any
Externí odkaz:
http://arxiv.org/abs/2407.19884
Following the rapid progress in natural language processing (NLP) models, language models are applied to increasingly more complex interactive tasks such as negotiations and conversation moderations. Having human evaluators directly interact with the
Externí odkaz:
http://arxiv.org/abs/2407.17770