Zobrazeno 1 - 10
of 15 212
pro vyhledávání: '"P. Deshmukh"'
The Automated Audio Captioning (AAC) task aims to describe an audio signal using natural language. To evaluate machine-generated captions, the metrics should take into account audio events, acoustic scenes, paralinguistics, signal characteristics, an
Externí odkaz:
http://arxiv.org/abs/2411.00321
Autor:
Deshmukh, Atharv
Federated Learning (FL) paradigms enable large numbers of clients to collaboratively train Machine Learning models on private data. However, due to their multi-party nature, traditional FL schemes are left vulnerable to Byzantine attacks that attempt
Externí odkaz:
http://arxiv.org/abs/2410.22680
Green hydrogen has the potential to address two pressing problems in a zero-carbon energy system: balancing seasonal variability of solar and wind in the electricity sector, and replacing fossil fuels in hard-to-abate sectors. However, the previous r
Externí odkaz:
http://arxiv.org/abs/2410.17947
Autor:
Paul, Sheryl, Deshmukh, Jyotirmoy V.
Reinforcement learning (RL) has been successfully applied to solve the problem of finding obstacle-free paths for autonomous agents operating in stochastic and uncertain environments. However, when the underlying stochastic dynamics of the environmen
Externí odkaz:
http://arxiv.org/abs/2410.19852
Pre-trained language models (PLMs) are trained on large amounts of data, which helps capture world knowledge alongside linguistic competence. Due to this, they are extensively used for ultra-fine entity typing tasks, where they provide the entity kno
Externí odkaz:
http://arxiv.org/abs/2410.17355
In recent years, there has been increasing interest in using formal methods-based techniques to safely achieve temporal tasks, such as timed sequence of goals, or patrolling objectives. Such tasks are often expressed in real-time logics such as Signa
Externí odkaz:
http://arxiv.org/abs/2410.11156
Autor:
Deshmukh, Pranita, Kulkarni, Nikita, Kulkarni, Sanhita, Manghani, Kareena, Kale, Geetanjali, Joshi, Raviraj
The demand for sophisticated natural language processing (NLP) methods, particularly Named Entity Recognition (NER), has increased due to the exponential growth of Marathi-language digital content. In particular, NER is essential for recognizing dist
Externí odkaz:
http://arxiv.org/abs/2410.09192
We present the MahaSUM dataset, a large-scale collection of diverse news articles in Marathi, designed to facilitate the training and evaluation of models for abstractive summarization tasks in Indic languages. The dataset, containing 25k samples, wa
Externí odkaz:
http://arxiv.org/abs/2410.09184
Posterior sampling in contextual bandits with a Gaussian prior can be implemented exactly or approximately using the Laplace approximation. The Gaussian prior is computationally efficient but it cannot describe complex distributions. In this work, we
Externí odkaz:
http://arxiv.org/abs/2410.03919
Autor:
Deshmukh, Neeraj, Yadav, Suraj
Given a smooth scheme X with an action by an affine algebraic group G, we give a formula to compute the Nisnevich sheaf of the motivic connected components of the quotient stack [X/G] in the case of an orbifold. We apply it to identify all the $\math
Externí odkaz:
http://arxiv.org/abs/2410.01525