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Right on Time: Multi-Temporal Convolutions for Human Action Recognition in Videos
AlexandrosStergiou, RonaldPoppe....
Published date-11/08/2020
ActionRecognition, ActionRecognitionInVideos, ActionRecognitionInVideos, TemporalActionLocalization, TransferLearning
The variations in the temporal performance of human actions observed in videos present challenges for their extraction using fixed-sized convolution kernels in CNNs. We present an approach that is more …
Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification
AgusSudjianto, WilliamKnauth, RahulSingh....
Published date-11/08/2020
The deep neural networks (DNNs) have achieved great success in learning complex patterns with strong predictive power, but they are often thought of as "black box" models without a sufficient …
Pathwise Conditioning of Gaussian Processes
JamesT.Wilson, ViacheslavBorovitskiy, AlexanderTerenin....
Published date-11/08/2020
GaussianProcesses
As Gaussian processes are integrated into increasingly complex problem settings, analytic solutions to quantities of interest become scarcer and scarcer. Monte Carlo methods act as a convenient bridge for connecting …
Stochastic Attention Head Removal: A Simple and Effective Method for Improving Automatic Speech Recognition with Transformers
ShucongZhang, ErfanLoweimi, PeterBell....
Published date-11/08/2020
SpeechRecognition
Recently, Transformers have shown competitive automatic speech recognition (ASR) results. One key factor to the success of these models is the multi-head attention mechanism. However, we observed in trained models, …
Adaptive Linear Span Network for Object Skeleton Detection
ChangLiu, YunjieTian, JianbinJiao....
Published date-11/08/2020
EdgeDetection, NeuralArchitectureSearch, ObjectSkeletonDetection
Conventional networks for object skeleton detection are usually hand-crafted. Although effective, they require intensive priori knowledge to configure representative features for objects in different scale granularity.In this paper, we propose …
Adapting a Language Model for Controlled Affective Text Generation
IshikaSingh, AhsanBarkati, TusharGoswamy....
Published date-11/08/2020
LanguageModelling, TextGeneration
Human use language not just to convey information but also to express their inner feelings and mental states. In this work, we adapt the state-of-the-art language generation models to generate …