Zobrazeno 1 - 10
of 4 754
pro vyhledávání: '"Nitesh, P"'
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
Inspired by the success of foundation models in applications such as ChatGPT, as graph data has been ubiquitous, one can envision the far-reaching impacts that can be brought by Graph Foundation Models (GFMs) with broader applications in the areas su
Externí odkaz:
http://arxiv.org/abs/2411.06070
The unique characteristics of text data make classification tasks a complex problem. Advances in unsupervised and semi-supervised learning and autoencoder architectures addressed several challenges. However, they still struggle with imbalanced text c
Externí odkaz:
http://arxiv.org/abs/2410.22197
Autor:
Garg, Ankur, Thapa, Nitesh, Sangar, Ghansham, Gaur, Neha, Sarkar, Meenakshi, Moorthi, S. Manthira, Dhar, Debajyoti
The Geo High Resolution Camera (GHRC) aboard ISRO GSAT-29 satellite is a state-of-the-art 6-band Visible and Near Infrared (VNIR) imager in geostationary orbit at 55degE longitude. It provides a ground sampling distance of 55 meters at nadir, coverin
Externí odkaz:
http://arxiv.org/abs/2410.21307
Autor:
Zhou, Yujun, Yang, Jingdong, Guo, Kehan, Chen, Pin-Yu, Gao, Tian, Geyer, Werner, Moniz, Nuno, Chawla, Nitesh V, Zhang, Xiangliang
Laboratory accidents pose significant risks to human life and property, underscoring the importance of robust safety protocols. Despite advancements in safety training, laboratory personnel may still unknowingly engage in unsafe practices. With the i
Externí odkaz:
http://arxiv.org/abs/2410.14182
Autor:
Le, Khiem, Chawla, Nitesh V.
Molecule optimization is a critical task in drug discovery to optimize desired properties of a given molecule through chemical modification. Despite Large Language Models (LLMs) holding the potential to efficiently simulate this task by using natural
Externí odkaz:
http://arxiv.org/abs/2410.13147
Large language models (LLMs) offer powerful capabilities but also introduce significant risks. One way to mitigate these risks is through comprehensive pre-deployment evaluations using benchmarks designed to test for specific vulnerabilities. However
Externí odkaz:
http://arxiv.org/abs/2410.12974
Autor:
Ye, Jiayi, Wang, Yanbo, Huang, Yue, Chen, Dongping, Zhang, Qihui, Moniz, Nuno, Gao, Tian, Geyer, Werner, Huang, Chao, Chen, Pin-Yu, Chawla, Nitesh V, Zhang, Xiangliang
LLM-as-a-Judge has been widely utilized as an evaluation method in various benchmarks and served as supervised rewards in model training. However, despite their excellence in many domains, potential issues are under-explored, undermining their reliab
Externí odkaz:
http://arxiv.org/abs/2410.02736
Autor:
Nejadriahi, Hani, Kittlaus, Eric, Bose, Debapam, Chauhan, Nitesh, Wang, Jiawei, Fradet, Mathieu, Bagheri, Mahmood, Isichenko, Andrei, Heim, David, Forouhar, Siamak, Blumenthal, Daniel
We demonstrate an external cavity laser with intrinsic linewidth below 100 Hz around an operating wavelength of 852 nm, selected for its relevance to laser cooling and manipulation of cesium atoms. This system achieves a maximum CW output power of 24
Externí odkaz:
http://arxiv.org/abs/2409.17382
While advertising has become commonplace in today's online interactions, there is a notable dearth of research investigating the extent to which browser fingerprinting is harnessed for user tracking and targeted advertising. Prior studies only measur
Externí odkaz:
http://arxiv.org/abs/2409.15656