research
∙
02/14/2023
Energy Transformer
Transformers have become the de facto models of choice in machine learni...
share
research
∙
11/01/2022
Quickest Change Detection with Leave-one-out Density Estimation
The problem of quickest change detection in a sequence of independent ob...
research
∙
08/30/2022
Associative Learning for Network Embedding
The network embedding task is to represent the node in the network as a ...
research
∙
11/13/2021
Keyphrase Extraction Using Neighborhood Knowledge Based on Word Embeddings
Keyphrase extraction is the task of finding several interesting phrases ...
research
∙
10/04/2021
Quickest Change Detection with Non-stationary and Composite Post-change Distribution
The problem of quickest detection of a change in the distribution of a s...
research
∙
08/25/2021
Non-Parametric Quickest Mean Change Detection
The problem of quickest detection of a change in the mean of a sequence ...
research
∙
01/18/2021
Can a Fruit Fly Learn Word Embeddings?
The mushroom body of the fruit fly brain is one of the best studied syst...
research
∙
09/06/2018
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Learning long-term spatial-temporal features are critical for many video...
research
∙
09/03/2018