Zobrazeno 1 - 10
of 6 125
pro vyhledávání: '"P A, Bharadwaj"'
Autor:
Nagrani, Arsha, Zhang, Mingda, Mehran, Ramin, Hornung, Rachel, Gundavarapu, Nitesh Bharadwaj, Jha, Nilpa, Myers, Austin, Zhou, Xingyi, Gong, Boqing, Schmid, Cordelia, Sirotenko, Mikhail, Zhu, Yukun, Weyand, Tobias
This paper describes a semi-automatic pipeline to generate challenging question-answer-decoy sets for understanding long videos. Many existing video datasets and models are focused on short clips (10s-30s). While some long video datasets do exist, th
Externí odkaz:
http://arxiv.org/abs/2412.09582
Autor:
Kang, Hao, Bharadwaj, Srikant, Hensman, James, Krishna, Tushar, Ruhle, Victor, Rajmohan, Saravan
Large language model (LLM) inference demands significant amount of computation and memory, especially in the key attention mechanism. While techniques, such as quantization and acceleration algorithms, like FlashAttention, have improved efficiency of
Externí odkaz:
http://arxiv.org/abs/2412.08585
Autor:
Mondal, Anindita, Bharadwaj, Rangavajjala Sankara, Mallela, Jhansi, Vuppala, Anil Kumar, Yarra, Chiranjeevi
Automatic detection of prominence at the word and syllable-levels is critical for building computer-assisted language learning systems. It has been shown that prosody embeddings learned by the current state-of-the-art (SOTA) text-to-speech (TTS) syst
Externí odkaz:
http://arxiv.org/abs/2412.08283
Considering radio-interferometric observations, we present a fast and efficient estimator to compute the binned angular bispectrum (ABS) from gridded visibility data. The estimator makes use of Fast Fourier Transform (FFT) techniques to compute the b
Externí odkaz:
http://arxiv.org/abs/2412.02246
Autor:
Dohi, Takaaki, Bhukta, Mona, Kammerbauer, Fabian, Bharadwaj, Venkata Krishna, Zarzuela, Ricardo, Sud, Aakanksha, Syskaki, Maria-Andromachi, Tran, Duc Minh, Wintz, Sebastian, Weigand, Markus, Finizio, Simone, Raabe, Jörg, Frömter, Robert, Sinova, Jairo, Kläui, Mathias
Topological spin textures in magnetic materials beyond two-dimensional skyrmions have attracted attention for electronics beyond CMOS technologies. In particular, three-dimensional (3D) topological spin textures are promising due to the expected comp
Externí odkaz:
http://arxiv.org/abs/2411.19698
Feature selection is crucial for enhancing the accuracy and efficiency of machine learning (ML) models. This work investigates the utility of quantum annealing for the feature selection process in an ML-pipeline, used for maximizing the mutual inform
Externí odkaz:
http://arxiv.org/abs/2411.19609
This study examines the behavior and tunability of plasmonic lenses created from arrays of nanoslits, applicable in sub-wavelength optical microscopy and other high-resolution imaging systems. We performed simulations on COMSOL Multiphysics to assess
Externí odkaz:
http://arxiv.org/abs/2411.19150
Receiver-function (RF) is a crustal imaging technique that entails deconvolving the radial or transverse component with the vertical component seismogram. Analysis of the variations of RFs along backazimuth and slowness is the key in determining the
Externí odkaz:
http://arxiv.org/abs/2411.14182
Axions and axion-like particles (ALPs) remain highly motivated extensions to the standard model due to their ability to address open questions such as the relic abundance of dark matter and the strong CP problem. Axions are also capable of undergoing
Externí odkaz:
http://arxiv.org/abs/2411.13701
Autor:
Gundavarapu, Nitesh Bharadwaj, Friedman, Luke, Goyal, Raghav, Hegde, Chaitra, Agustsson, Eirikur, Waghmare, Sagar M., Sirotenko, Mikhail, Yang, Ming-Hsuan, Weyand, Tobias, Gong, Boqing, Sigal, Leonid
Video understanding has witnessed significant progress with recent video foundation models demonstrating strong performance owing to self-supervised pre-training objectives; Masked Autoencoders (MAE) being the design of choice. Nevertheless, the majo
Externí odkaz:
http://arxiv.org/abs/2411.13683