Zobrazeno 1 - 10
of 28 624
pro vyhledávání: '"Vinay. P"'
With the rapid advancement of neural language models, the deployment of over-parameterized models has surged, increasing the need for interpretable explanations comprehensible to human inspectors. Existing post-hoc interpretability methods, which oft
Externí odkaz:
http://arxiv.org/abs/2411.04649
Wind energy's role in the global electric grid is set to expand significantly. New York State alone anticipates offshore wind farms (WFs) contributing 9GW by 2035. Integration of energy storage emerges as crucial for this advancement. In this study,
Externí odkaz:
http://arxiv.org/abs/2411.04274
The spatio-temporal nature of live-cell microscopy data poses challenges in the analysis of cell states which is fundamental in bioimaging. Deep-learning based segmentation or tracking methods rely on large amount of high quality annotations to work
Externí odkaz:
http://arxiv.org/abs/2411.03924
Autor:
Biswas, Soumyajyoti, Sen, Parongama, Thota, Bhargav, Kodali, Hemanth, Datta, I. Vinay, Akash, K. Madhu Venkata
The strongly polarizing political discourse in the U. S. implies that a small minority of the population, determining the outcome of the presidential elections in a few so called battleground-states, also determines the outcome of the overall electio
Externí odkaz:
http://arxiv.org/abs/2411.02240
Knowledge Graphs have emerged as a compelling abstraction for capturing key relationship among the entities of interest to enterprises and for integrating data from heterogeneous sources. JPMorgan Chase (JPMC) is leading this trend by leveraging know
Externí odkaz:
http://arxiv.org/abs/2411.02695
Knowledge graphs have gained popularity for their ability to organize and analyze complex data effectively. When combined with graph embedding techniques, such as graph neural networks (GNNs), knowledge graphs become a potent tool in providing valuab
Externí odkaz:
http://arxiv.org/abs/2411.02692
Autor:
Singh, Utsav, Chakraborty, Souradip, Suttle, Wesley A., Sadler, Brian M., Sahu, Anit Kumar, Shah, Mubarak, Namboodiri, Vinay P., Bedi, Amrit Singh
This work introduces Hierarchical Preference Optimization (HPO), a novel approach to hierarchical reinforcement learning (HRL) that addresses non-stationarity and infeasible subgoal generation issues when solving complex robotic control tasks. HPO le
Externí odkaz:
http://arxiv.org/abs/2411.00361
Autor:
Koshy, Vinay, Choi, Frederick, Chiang, Yi-Shyuan, Sundaram, Hari, Chandrasekharan, Eshwar, Karahalios, Karrie
Research into community content moderation often assumes that moderation teams govern with a single, unified voice. However, recent work has found that moderators disagree with one another at modest, but concerning rates. The problem is not the root
Externí odkaz:
http://arxiv.org/abs/2410.23448
To prevent unauthorized use of text in images, Scene Text Removal (STR) has become a crucial task. It focuses on automatically removing text and replacing it with a natural, text-less background while preserving significant details such as texture, c
Externí odkaz:
http://arxiv.org/abs/2410.21721
Large Language Models (LLMs) for public use require continuous pre-training to remain up-to-date with the latest data. The models also need to be fine-tuned with specific instructions to maintain their ability to follow instructions accurately. Typic
Externí odkaz:
http://arxiv.org/abs/2410.10739