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pro vyhledávání: '"Bhatia A"'
Despite recent advancements in vision-language models, their performance remains suboptimal on images from non-western cultures due to underrepresentation in training datasets. Various benchmarks have been proposed to test models' cultural inclusivit
Externí odkaz:
http://arxiv.org/abs/2407.00263
Autor:
Highton, Jack, Chong, Quok Zong, Finestone, Samuel, Beqiri, Arian, Schnabel, Julia A., Bhatia, Kanwal K.
Deep learning models for medical image segmentation and object detection are becoming increasingly available as clinical products. However, as details are rarely provided about the training data, models may unexpectedly fail when cases differ from th
Externí odkaz:
http://arxiv.org/abs/2406.19557
Autor:
Gonzalez-Franco, Mar, Abdlkarim, Diar, Bhatia, Arpit, Macgregor, Stuart, Fotso-Puepi, Jason Alexander, Gonzalez, Eric J, Seifi, Hasti, Di Luca, Massimiliano, Ahuja, Karan
Virtual, Mixed, and Augmented Reality (XR) technologies hold immense potential for transforming productivity beyond PC. Therefore there is a critical need for improved text input solutions for XR. However, achieving efficient text input in these envi
Externí odkaz:
http://arxiv.org/abs/2406.09579
Domain-specific languages (DSLs) are integral to various software workflows. Such languages offer domain-specific optimizations and abstractions that improve code readability and maintainability. However, leveraging these languages requires developer
Externí odkaz:
http://arxiv.org/abs/2406.03003
Autor:
Mora, Federico, Wong, Justin, Lepe, Haley, Bhatia, Sahil, Elmaaroufi, Karim, Varghese, George, Gonzalez, Joseph E., Polgreen, Elizabeth, Seshia, Sanjit A.
Recent advances in large language models (LLMs) for code applications have demonstrated remarkable zero-shot fluency and instruction following on challenging code related tasks ranging from test case generation to self-repair. Unsurprisingly, however
Externí odkaz:
http://arxiv.org/abs/2406.03636
Goal-oriented communication (GoC) is a form of semantic communication where the effectiveness of information transmission is measured by its impact on achieving the desired goal. In the context of the Internet of Things (IoT), GoC can make IoT sensor
Externí odkaz:
http://arxiv.org/abs/2405.20983
We propose an algebraic geometric framework to study the expressivity of linear activation neural networks. A particular quantity that has been actively studied in the field of deep learning is the number of linear regions, which gives an estimate of
Externí odkaz:
http://arxiv.org/abs/2405.20174
Autor:
Patil, Vilas, Ghosh, Sanat, Basu, Amit, Kuldeep, Dutta, Achintya, Agrawal, Khushabu, Bhatia, Neha, Shah, Amit, Jangade, Digambar A., Kulkarni, Ruta, Thamizhavel, A., Deshmukh, Mandar M.
Publikováno v:
Scientific Reports 14, Article number: 11097 (2024)
Assembling atomic layers of van der Waals materials (vdW) combines the physics of two materials, offering opportunities for novel functional devices. Realization of this has been possible because of advancements in nanofabrication processes which oft
Externí odkaz:
http://arxiv.org/abs/2405.20070
Knowledge Graph Embedding (KGE) techniques are crucial in learning compact representations of entities and relations within a knowledge graph, facilitating efficient reasoning and knowledge discovery. While existing methods typically focus either on
Externí odkaz:
http://arxiv.org/abs/2405.16412
Autor:
Wang, Xiyao, Chen, Jiuhai, Wang, Zhaoyang, Zhou, Yuhang, Zhou, Yiyang, Yao, Huaxiu, Zhou, Tianyi, Goldstein, Tom, Bhatia, Parminder, Huang, Furong, Xiao, Cao
Large vision-language models (LVLMs) have achieved impressive results in various visual question-answering and reasoning tasks through vision instruction tuning on specific datasets. However, there is still significant room for improvement in the ali
Externí odkaz:
http://arxiv.org/abs/2405.15973