2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval
Yan Gao, Zhiwei Cao, Zhongjian Miao +4
To achieve non-parametric NMT domain adaptation, -Nearest-Neighbor Machine Translation (NN-MT) constructs an external datastore to store domain-specific translation knowledge…
eess.IV2023
MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding
Bowen Liu, Yu Chen, Rakesh Chowdary Machineni +2
Learning-based video compression has been extensively studied over the past years, but it still has limitations in adapting to various motion patterns and entropy models. In this p…
cs.LG2023★ 2 cited
Stochastic Clustered Federated Learning
Dun Zeng, Xiangjing Hu, Shiyu Liu +3
Federated learning is a distributed learning framework that takes full advantage of private data samples kept on edge devices. In real-world federated learning systems, these data…