Zobrazeno 1 - 10
of 59 184
pro vyhledávání: '"A. Ahuja"'
Autor:
Joshi, Ankita, Sharma, Ashutosh, Goel, Anoushkrit, Jha, Ranjeet Ranjan, Ahuja, Chirag, Bhavsar, Arnav, Nigam, Aditya
Fiber tractography is a cornerstone of neuroimaging, enabling the detailed mapping of the brain's white matter pathways through diffusion MRI. This is crucial for understanding brain connectivity and function, making it a valuable tool in neurologica
Externí odkaz:
http://arxiv.org/abs/2411.05757
Autor:
Matzner, Robin, Ahuja, Akanksha, Sadeghi, Rasoul, Doherty, Michael, Beghelli, Alejandra, Savory, Seb J., Bayvel, Polina
Topology Bench is a comprehensive topology dataset designed to accelerate benchmarking studies in optical networks. The dataset, focusing on core optical networks, comprises publicly accessible and ready-to-use topologies, including (a) 105 georefere
Externí odkaz:
http://arxiv.org/abs/2411.04160
The COVID-19 pandemic has underscored the need for low-cost, scalable approaches to measuring contactless vital signs, either during initial triage at a healthcare facility or virtual telemedicine visits. Remote photoplethysmography (rPPG) can accura
Externí odkaz:
http://arxiv.org/abs/2410.15851
Benchmark contamination refers to the presence of test datasets in Large Language Model (LLM) pre-training or post-training data. Contamination can lead to inflated scores on benchmarks, compromising evaluation results and making it difficult to dete
Externí odkaz:
http://arxiv.org/abs/2410.16186
Autor:
He, Yifei, Benhaim, Alon, Patra, Barun, Vaddamanu, Praneetha, Ahuja, Sanchit, Chopra, Parul, Chaudhary, Vishrav, Zhao, Han, Song, Xia
We propose a novel scaling law for general-purpose decoder-only language models (LMs) trained on multilingual data, addressing the problem of balancing languages during multilingual pretraining. A primary challenge in studying multilingual scaling is
Externí odkaz:
http://arxiv.org/abs/2410.12883
Autor:
Gupta, Pranav, Rengarajan, Rishabh, Bankapur, Viren, Mannem, Vedansh, Ahuja, Lakshit, Vijay, Surya, Wang, Kevin
Publikováno v:
Curieux Academic Journal Part 2 Issue 43 (2024), pp. 626-634
Combining LiDAR and Camera-view data has become a common approach for 3D Object Detection. However, previous approaches combine the two input streams at a point-level, throwing away semantic information derived from camera features. In this paper we
Externí odkaz:
http://arxiv.org/abs/2410.11211
In this work, we tackle a challenging and extreme form of subpopulation shift, which is termed compositional shift. Under compositional shifts, some combinations of attributes are totally absent from the training distribution but present in the test
Externí odkaz:
http://arxiv.org/abs/2410.06303
Large language models (LLMs) have been used to generate formal proofs of mathematical theorems in proofs assistants such as Lean. However, we often want to optimize a formal proof with respect to various criteria, depending on its downstream use. For
Externí odkaz:
http://arxiv.org/abs/2410.04753
We present the results obtained from X-ray and optical analysis of the Be/X-ray binary IGR~J06074+2205, focusing on before, during, and after the X-ray outbursts in October and December 2023. The properties of the neutron star in the binary are inves
Externí odkaz:
http://arxiv.org/abs/2410.00747
Vision-language models (VLMs) like CLIP have been adapted for Multi-Label Recognition (MLR) with partial annotations by leveraging prompt-learning, where positive and negative prompts are learned for each class to associate their embeddings with clas
Externí odkaz:
http://arxiv.org/abs/2409.08381