Zobrazeno 1 - 10
of 4 985
pro vyhledávání: '"P, Shroff"'
Large Language Models (LLMs) excel in diverse applications including generation of code snippets, but often struggle with generating code for complex Machine Learning (ML) tasks. Although existing LLM single-agent based systems give varying performan
Externí odkaz:
http://arxiv.org/abs/2411.07464
Autor:
Siam, Shakhrul Iman, Ahn, Hyunho, Liu, Li, Alam, Samiul, Shen, Hui, Cao, Zhichao, Shroff, Ness, Krishnamachari, Bhaskar, Srivastava, Mani, Zhang, Mi
Publikováno v:
ACM Trans. Sen. Netw.(August 2024)
The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we provide a systematic and comprehensive review of AIoT r
Externí odkaz:
http://arxiv.org/abs/2410.19998
Multi-objective Markov Decision Processes (MDPs) are receiving increasing attention, as real-world decision-making problems often involve conflicting objectives that cannot be addressed by a single-objective MDP. The Pareto front identifies the set o
Externí odkaz:
http://arxiv.org/abs/2410.15557
The constant shifts in social and political contexts, driven by emerging social movements and political events, lead to new forms of hate content and previously unrecognized hate patterns that machine learning models may not have captured. Some recen
Externí odkaz:
http://arxiv.org/abs/2410.15314
The denoising diffusion model has recently emerged as a powerful generative technique, capable of transforming noise into meaningful data. While theoretical convergence guarantees for diffusion models are well established when the target distribution
Externí odkaz:
http://arxiv.org/abs/2410.13746
Police departments around the world use two-way radio for coordination. These broadcast police communications (BPC) are a unique source of information about everyday police activity and emergency response. Yet BPC are not transcribed, and their natur
Externí odkaz:
http://arxiv.org/abs/2409.10858
Federated Learning (FL) has gained significant popularity due to its effectiveness in training machine learning models across diverse sites without requiring direct data sharing. While various algorithms along with their optimization analyses have sh
Externí odkaz:
http://arxiv.org/abs/2409.03863
Autor:
Jaiswal, Siddharth D, Dash, Abhisek, Shroff, Nitika, Vunnam, Yashwanth Babu, Ghosh, Saptarshi, Mukherjee, Animesh
E-commerce platforms support the needs and livelihoods of their two most important stakeholders -- customers and producers/sellers. Multiple algorithmic systems, like ``search'' systems mediate the interactions between these stakeholders by connectin
Externí odkaz:
http://arxiv.org/abs/2407.14650
Continual learning (CL) has garnered significant attention because of its ability to adapt to new tasks that arrive over time. Catastrophic forgetting (of old tasks) has been identified as a major issue in CL, as the model adapts to new tasks. The Mi
Externí odkaz:
http://arxiv.org/abs/2406.16437
Robotic Process Automation (RPA) systems face challenges in handling complex processes and diverse screen layouts that require advanced human-like decision-making capabilities. These systems typically rely on pixel-level encoding through drag-and-dro
Externí odkaz:
http://arxiv.org/abs/2405.12842