Zobrazeno 1 - 10
of 3 995
pro vyhledávání: '"Khadilkar, A"'
Distortion identification and rectification in images and videos is vital for achieving good performance in downstream vision applications. Instead of relying on fixed trial-and-error based image processing pipelines, we propose a two-level sequentia
Externí odkaz:
http://arxiv.org/abs/2407.16302
Transformers have become pivotal in Natural Language Processing, demonstrating remarkable success in applications like Machine Translation and Summarization. Given their widespread adoption, several works have attempted to analyze the expressivity of
Externí odkaz:
http://arxiv.org/abs/2402.15478
Autor:
Nath, Swaroop, Siledar, Tejpalsingh, Muddu, Sankara Sri Raghava Ravindra, Rangaraju, Rupasai, Khadilkar, Harshad, Bhattacharyya, Pushpak, Banerjee, Suman, Patil, Amey, Singh, Sudhanshu Shekhar, Chelliah, Muthusamy, Garera, Nikesh
Reinforcement Learning from Human Feedback (RLHF) has become a dominating strategy in aligning Language Models (LMs) with human values/goals. The key to the strategy is learning a reward model ($\varphi$), which can reflect the latent reward model of
Externí odkaz:
http://arxiv.org/abs/2402.15473
We present a fast, flexible heuristic for setting up warehouse locations for quick commerce businesses, with the goal of serving the largest number of customers under the constraints of delivery radius and maximum daily deliveries per warehouse. Quic
Externí odkaz:
http://arxiv.org/abs/2312.11494
We consider the inventory management problem, where the goal is to balance conflicting objectives such as availability and wastage of a large range of products in a store. We propose a reinforcement learning (RL) approach that utilises General Value
Externí odkaz:
http://arxiv.org/abs/2311.02125
Publikováno v:
Journal of Medical Case Reports, Vol 18, Iss 1, Pp 1-7 (2024)
Abstract Background While statistically rare in comparison to other head and neck tumours, parotid gland swellings are often encountered in clinical practice where one of the primary goals of examination becomes distinction between benign and maligna
Externí odkaz:
https://doaj.org/article/d14c2d37a16e4f8691a73ed59bb4cdc3
Publikováno v:
Journal of Orthopaedic Diseases and Traumatology, Vol 7, Iss 1, Pp 99-102 (2024)
Background: The COVID-19 pandemic, caused by SARS-CoV-2, has introduced numerous health complications beyond its primary respiratory effects. Notably, there is growing concern about its role in avascular necrosis (AVN) of the femoral head, a conditio
Externí odkaz:
https://doaj.org/article/bdb0578596a941c4a26302404fafda87
Autor:
Khadilkar, Harshad
We present a simple linear regression based approach for learning the weights and biases of a neural network, as an alternative to standard gradient based backpropagation. The present work is exploratory in nature, and we restrict the description and
Externí odkaz:
http://arxiv.org/abs/2307.05189
The ability to learn robust policies while generalizing over large discrete action spaces is an open challenge for intelligent systems, especially in noisy environments that face the curse of dimensionality. In this paper, we present a novel framewor
Externí odkaz:
http://arxiv.org/abs/2306.15913
Autor:
Khadilkar, Harshad
We present a simple, sample-efficient algorithm for introducing large but directed learning steps in reinforcement learning (RL), through the use of evolutionary operators. The methodology uses a population of RL agents training with a common experie
Externí odkaz:
http://arxiv.org/abs/2305.07571