Zobrazeno 1 - 10
of 45 495
pro vyhledávání: '"A, Hany"'
Autor:
Barrington, Sarah, Farid, Hany
As generative AI continues its ballistic trajectory, everything from text to audio, image, and video generation continues to improve in mimicking human-generated content. Through a series of perceptual studies, we report on the realism of AI-generate
Externí odkaz:
http://arxiv.org/abs/2410.03791
Indoor localization has become increasingly important due to its wide-ranging applications in indoor navigation, emergency services, the Internet of Things (IoT), and accessibility for individuals with special needs. Traditional localization systems
Externí odkaz:
http://arxiv.org/abs/2410.02329
Model predictive control (MPC) is a powerful framework for optimal control of dynamical systems. However, MPC solvers suffer from a high computational burden that restricts their application to systems with low sampling frequency. This issue is furth
Externí odkaz:
http://arxiv.org/abs/2409.20027
Autor:
Liu, Liyuan, Kim, Young Jin, Wang, Shuohang, Liang, Chen, Shen, Yelong, Cheng, Hao, Liu, Xiaodong, Tanaka, Masahiro, Wu, Xiaoxia, Hu, Wenxiang, Chaudhary, Vishrav, Lin, Zeqi, Zhang, Chenruidong, Xue, Jilong, Awadalla, Hany, Gao, Jianfeng, Chen, Weizhu
Mixture-of-Experts (MoE) models scale more effectively than dense models due to sparse computation through expert routing, selectively activating only a small subset of expert modules. However, sparse computation challenges traditional training pract
Externí odkaz:
http://arxiv.org/abs/2409.12136
This paper introduces the Inside-Out Nested Particle Filter (IO-NPF), a novel, fully recursive, algorithm for amortized sequential Bayesian experimental design in the non-exchangeable setting. We frame policy optimization as maximum likelihood estima
Externí odkaz:
http://arxiv.org/abs/2409.05354
We describe a large-scale dataset--DeepSpeak--of real and deepfake footage of people talking and gesturing in front of their webcams. The real videos in this first version of the dataset consist of 17 hours of footage from 220 diverse individuals. Co
Externí odkaz:
http://arxiv.org/abs/2408.05366
Autor:
Amer, Hossam, Abouelenin, Abdelrahman, Maher, Mohamed, Narouz, Evram, Afify, Mohamed, Awadallah, Hany
Nearest neighbor machine translation is a successful approach for fast domain adaption, which interpolates the pre-trained transformers with domain-specific token-level k-nearest-neighbor (kNN) retrieval without retraining. Despite kNN MT's success,
Externí odkaz:
http://arxiv.org/abs/2407.19965
Autor:
Hesham, Momen, Essam, Mohamed, Bahaa, Mohamed, Mohamed, Ahmed, Gomaa, Mohamed, Hany, Mena, Elsersy, Wael
As these attacks become more and more difficult to see, the need for the great hi-tech models that detect them is undeniable. This paper examines and compares various machine learning as well as deep learning models to choose the most suitable ones f
Externí odkaz:
http://arxiv.org/abs/2407.06014
With the exponential increase in video content, the need for accurate deception detection in human-centric video analysis has become paramount. This research focuses on the extraction and combination of various features to enhance the accuracy of dec
Externí odkaz:
http://arxiv.org/abs/2407.06005
Autor:
Zhang, Shenao, Yu, Donghan, Sharma, Hiteshi, Zhong, Han, Liu, Zhihan, Yang, Ziyi, Wang, Shuohang, Hassan, Hany, Wang, Zhaoran
Preference optimization, particularly through Reinforcement Learning from Human Feedback (RLHF), has achieved significant success in aligning Large Language Models (LLMs) to adhere to human intentions. Unlike offline alignment with a fixed dataset, o
Externí odkaz:
http://arxiv.org/abs/2405.19332