research
∙
07/14/2023
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning
The ubiquity of camera-enabled devices has led to large amounts of unlab...
share
research
∙
07/10/2023
Source-Aware Embedding Training on Heterogeneous Information Networks
Heterogeneous information networks (HINs) have been extensively applied ...
research
∙
05/03/2023
Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime
Large-scale visual language models are widely used as pre-trained models...
research
∙
03/15/2023
On the Benefits of Leveraging Structural Information in Planning Over the Learned Model
Model-based Reinforcement Learning (RL) integrates learning and planning...
research
∙
10/30/2022
SL3D: Self-supervised-Self-labeled 3D Recognition
There are a lot of promising results in 3D recognition, including classi...
research
∙
07/20/2022
Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing
With the rapid development of mobile devices, modern widely-used mobile ...
research
∙
07/05/2022
Federated Self-supervised Learning for Video Understanding
The ubiquity of camera-enabled mobile devices has lead to large amounts ...
research
∙
06/09/2022
Reconstruct Face from Features Using GAN Generator as a Distribution Constraint
Face recognition based on the deep convolutional neural networks (CNN) s...
research
∙
05/08/2022
Parallelization of Machine Learning Algorithms Respectively on Single Machine and Spark
With the rapid development of big data technologies, how to dig out usef...
research
∙
04/06/2022
Video Demoireing with Relation-Based Temporal Consistency
Moire patterns, appearing as color distortions, severely degrade image a...
research
∙
03/08/2022
Learning to Erase the Bayer-Filter to See in the Dark
Low-light image enhancement - a pervasive but challenging problem, plays...
research
∙
12/23/2021
Reinforced Meta-path Selection for Recommendation on Heterogeneous Information Networks
Heterogeneous Information Networks (HINs) capture complex relations amon...
research
∙
05/12/2021
Interpretable performance analysis towards offline reinforcement learning: A dataset perspective
Offline reinforcement learning (RL) has increasingly become the focus of...
research
∙
11/19/2020
Scalable Graph Neural Networks for Heterogeneous Graphs
Graph neural networks (GNNs) are a popular class of parametric model for...
research
∙
10/15/2019
Facebook AI's WAT19 Myanmar-English Translation Task Submission
This paper describes Facebook AI's submission to the WAT 2019 Myanmar-En...
research
∙
09/30/2019
Revisiting Self-Training for Neural Sequence Generation
Self-training is one of the earliest and simplest semi-supervised method...
research
∙
09/28/2019
The Source-Target Domain Mismatch Problem in Machine Translation
While we live in an increasingly interconnected world, different places ...
research
∙
03/28/2019
PyTorch-BigGraph: A Large-scale Graph Embedding System
Graph embedding methods produce unsupervised node features from graphs t...
research
∙
12/18/2017