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Found 7 papers, 1 papers with code
SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization
Tehchniques for manipulating images are advancing rapidly; while these are helpful for many useful tasks, they also pose a threat to society with their ability to create believable misinformation.
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Image Manipulation Localization
on Columbia
Mean Estimation Under Heterogeneous Privacy Demands
As a consequence, users with less but differing privacy requirements are all given more privacy than they require, in equal amounts.
Mean Estimation Under Heterogeneous Privacy: Some Privacy Can Be Free
Differential Privacy (DP) is a well-established framework to quantify privacy loss incurred by any algorithm.
Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs
The starting point of our work is the observation that in practice, Q-learning is used with two important modifications: (i) training with two networks, called online network and target network simultaneously (online target learning, or OTL) , and (ii) experience replay (ER) (Mnih et al., 2015).
An Optimized Signal Processing Pipeline for Syllable Detection and Speech Rate Estimation
Syllable detection is an important speech analysis task with applications in speech rate estimation, word segmentation, and automatic prosody detection.
GuCNet: A Guided Clustering-based Network for Improved Classification
We deal with the problem of semantic classification of challenging and highly-cluttered dataset.
SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization
We present a novel framework, Spatial Pyramid Attention Network (SPAN) for detection and localization of multiple types of image manipulations.
