
[1602.05629] Communication-Efficient Learning of Deep …
2016年2月17日 · We present a practical method for the federated learning of deep networks based on iterative model averaging, and conduct an extensive empirical evaluation, considering five different model architectures and four datasets.
[1509.06461] Deep Reinforcement Learning with Double Q-learning …
2015年9月22日 · In this paper, we answer all these questions affirmatively. In particular, we first show that the recent DQN algorithm, which combines Q-learning with a deep neural network, suffers from substantial overestimations in some games in the Atari 2600 domain.
[1706.03741] Deep reinforcement learning from human preferences …
2017年6月12日 · For sophisticated reinforcement learning (RL) systems to interact usefully with real-world environments, we need to communicate complex goals to these systems. In this work, we explore goals defined in terms of (non-expert) human preferences between pairs of …
Dark Object Detection Based on Detail Feature Enhancement and …
In this paper, we propose a Detail Feature Enhancement Block (DFEB) and a Detail Feature Enhancement Network (DFEN) based on it, specifically designed to enhance low-texture detail features in low-light images, thereby improving the model’s ability …
Human-level control through deep reinforcement learning | Nature
2015年2月25日 · Here we use recent advances in training deep neural networks 9, 10, 11 to develop a novel artificial agent, termed a deep Q-network, that can learn successful policies directly from...
De novo design of luciferases using deep learning | Nature
2023年2月22日 · Here we describe a deep-learning-based ‘family-wide hallucination’ approach that generates large numbers of idealized protein structures containing diverse pocket shapes and designed sequences that...
TIGR-Tas: A family of modular RNA-guided DNA-targeting
2025年2月27日 · We show that TIGR arrays are processed into 36-nt RNAs (tigRNAs) that direct sequence-specific DNA binding through a tandem-spacer targeting mechanism. TasR can be reprogrammed for precise DNA cleavage, including in human cells.
Dimitris Gkoumas | AI Researcher
My research draws on topics of Generative AI, Multimodal Representation Learning, Computational Linguistics (NLP), and Quantum Information Theory (specifically for deploying algorithms).
JEE Main 2024 Question Paper with Answer Keys – MathonGo
Download JEE Main 2024 Previous Year Question Paper with Answer Keys in PDF format. Here you can find all JEE Main 2024 January shift papers and JEE Main 2024 April shift papers. Click here to download all JEE Main Previous Year Question Papers from 2024 – 2002
Radioprotection of healthy tissue via nanoparticle-delivered mRNA ...
2025年2月26日 · Here, inspired by the ability of tardigrades to resist extreme radiation through the expression of a damage-suppressor protein that binds to DNA and reduces strand breaks, we show that the local...