Zobrazeno 1 - 10
of 5 132
pro vyhledávání: '"Abhilash, P."'
This paper presents an approach for autonomous docking of a fully actuated autonomous surface vessel using expert demonstration data. We frame the docking problem as an imitation learning task and employ inverse reinforcement learning (IRL) to learn
Externí odkaz:
http://arxiv.org/abs/2411.07550
In task-oriented dialogue systems, intent detection is crucial for interpreting user queries and providing appropriate responses. Existing research primarily addresses simple queries with a single intent, lacking effective systems for handling comple
Externí odkaz:
http://arxiv.org/abs/2410.22476
Counterspeech presents a viable alternative to banning or suspending users for hate speech while upholding freedom of expression. However, writing effective counterspeech is challenging for moderators/users. Hence, developing suggestion tools for wri
Externí odkaz:
http://arxiv.org/abs/2410.01400
Autor:
Nandy, Abhilash, Agarwal, Yash, Patwa, Ashish, Das, Millon Madhur, Bansal, Aman, Raj, Ankit, Goyal, Pawan, Ganguly, Niloy
Understanding satire and humor is a challenging task for even current Vision-Language models. In this paper, we propose the challenging tasks of Satirical Image Detection (detecting whether an image is satirical), Understanding (generating the reason
Externí odkaz:
http://arxiv.org/abs/2409.13592
Autor:
Heikkinen, Petri J., Levitin, Lev V., Rojas, Xavier, Singh, Angadjit, Eng, Nathan, Casey, Andrew, Saunders, John, Vorontsov, Anton, Zhelev, Nikolay, Sebastian, Abhilash Thanniyil, Parpia, Jeevak M.
Anisotropic pair breaking close to surfaces favors chiral superfluid $^3$He-A over time-reversal invariant $^3$He-B. Confining superfluid $^3$He into a cavity of height $D$ of the order of the Cooper pair size characterized by the coherence length $\
Externí odkaz:
http://arxiv.org/abs/2409.12901
Autor:
Wahd, Assefa Seyoum, Felfeliyan, Banafshe, Zhou, Yuyue, Ghosh, Shrimanti, McArthur, Adam, Zhang, Jiechen, Jaremko, Jacob L., Hareendranathan, Abhilash
Foundation models like the segment anything model require high-quality manual prompts for medical image segmentation, which is time-consuming and requires expertise. SAM and its variants often fail to segment structures in ultrasound (US) images due
Externí odkaz:
http://arxiv.org/abs/2409.06821
Autor:
K, Haritha, Burra, Ramya, Mittal, Srishti, Sharma, Sarthak, Venkatesh, Abhilash, Tandon, Anshoo
This work contributes towards the development of an efficient and scalable open-source Secure Multi-Party Computation (SMPC) protocol on machines with moderate computational resources. We use the ABY2.0 SMPC protocol implemented on the C++ based MOTI
Externí odkaz:
http://arxiv.org/abs/2408.16387
Autor:
Maruf, M., Daw, Arka, Mehrab, Kazi Sajeed, Manogaran, Harish Babu, Neog, Abhilash, Sawhney, Medha, Khurana, Mridul, Balhoff, James P., Bakis, Yasin, Altintas, Bahadir, Thompson, Matthew J., Campolongo, Elizabeth G., Uyeda, Josef C., Lapp, Hilmar, Bart, Henry L., Mabee, Paula M., Su, Yu, Chao, Wei-Lun, Stewart, Charles, Berger-Wolf, Tanya, Dahdul, Wasila, Karpatne, Anuj
Images are increasingly becoming the currency for documenting biodiversity on the planet, providing novel opportunities for accelerating scientific discoveries in the field of organismal biology, especially with the advent of large vision-language mo
Externí odkaz:
http://arxiv.org/abs/2408.16176
The rise of machine learning workload on smartphones has propelled GPUs into one of the most power-hungry components of modern smartphones and elevates the need for optimizing the GPU power draw by mobile apps. Optimizing the power consumption of mob
Externí odkaz:
http://arxiv.org/abs/2408.04886
In this article, we examine the general space-time fractional diffusion equation for left-invariant hypoelliptic homogeneous operators on graded Lie groups. Our study covers important examples such as the time-fractional diffusion equation, the space
Externí odkaz:
http://arxiv.org/abs/2407.15505