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Learning Efficient Task-Specific Meta-Embeddings with Word Prisms
JingyiHe, KCTsiolis, KianKenyon-Dean....
Published date-11/05/2020
WordEmbeddings
Word embeddings are trained to predict word cooccurrence statistics, which leads them to possess different lexical properties (syntactic, semantic, etc.) depending on the notion of context defined at training time. …
NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis
XIAOYUGUO, JingMa, ArkaitzZubiaga....
Published date-11/05/2020
EmotionRecognition, ImageClassification
This paper describes our contribution to SemEval 2020 Task 8: Memotion Analysis. Our system learns multi-modal embeddings from text and images in order to classify Internet memes by sentiment. Our …
Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping
KhaledKoutini, FlorianHenkel, HamidEghbal-zadeh....
Published date-11/05/2020
AcousticSceneClassification, SceneClassification
Deep Neural Networks are known to be very demanding in terms of computing and memory requirements. Due to the ever increasing use of embedded systems and mobile devices with a …
Short-Term Memory Optimization in Recurrent Neural Networks by Autoencoder-based Initialization
AntonioCarta, AlessandroSperduti, DavideBacciu....
Published date-11/05/2020
Training RNNs to learn long-term dependencies is difficult due to vanishing gradients. We explore an alternative solution based on explicit memorization using linear autoencoders for sequences, which allows to maximize …
Learning Rolling Shutter Correction from Real Data without Camera Motion Assumption
JiaweiMo, MdJahidulIslam, JunaedSattar....
Published date-11/05/2020
StructurefromMotion
The rolling shutter mechanism in modern cameras generates distortions as the images are formed on the sensor through a row-by-row readout process; this is highly undesirable for photography and vision-based …
Transforming Facial Weight of Real Images by Editing Latent Space of StyleGAN
VNSRamaKrishnaPinnimty, MattZhao, PalakornAchananuparp....
Published date-11/05/2020
We present an invert-and-edit framework to automatically transform facial weight of an input face image to look thinner or heavier by leveraging semantic facial attributes encoded in the latent space …