Zobrazeno 1 - 10
of 59 963
pro vyhledávání: '"A, Ahuja"'
Autor:
Shah, Dev, Ahuja, Karan
Touch is one of the most intuitive ways for humans to interact with the world, and as we advance toward a ubiquitous computing environment where technology seamlessly integrates into daily life, natural interaction methods are essential. This paper i
Externí odkaz:
http://arxiv.org/abs/2412.10565
In the field of continual learning, relying on so-called oracles for novelty detection is commonplace albeit unrealistic. This paper introduces CONCLAD ("COntinuous Novel CLAss Detector"), a comprehensive solution to the under-explored problem of con
Externí odkaz:
http://arxiv.org/abs/2412.10473
AI deployed in many real-world use cases should be capable of adapting to novelties encountered after deployment. Here, we consider a challenging, under-explored and realistic continual adaptation problem: a deployed AI agent is continuously provided
Externí odkaz:
http://arxiv.org/abs/2412.09701
Publikováno v:
COLING 2025
Using tools by Large Language Models (LLMs) is a promising avenue to extend their reach beyond language or conversational settings. The number of tools can scale to thousands as they enable accessing sensory information, fetching updated factual know
Externí odkaz:
http://arxiv.org/abs/2412.03573
Autor:
Goel, Anoushkrit, Singh, Bipanjit, Joshi, Ankita, Jha, Ranjeet Ranjan, Ahuja, Chirag, Nigam, Aditya, Bhavsar, Arnav
White matter tract segmentation is crucial for studying brain structural connectivity and neurosurgical planning. However, segmentation remains challenging due to issues like class imbalance between major and minor tracts, structural similarity, subj
Externí odkaz:
http://arxiv.org/abs/2411.08187
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, tackling the problem of balancing languages during multilingual pretraining. A primary challenge in studying multilingual scaling is t
Externí odkaz:
http://arxiv.org/abs/2410.12883