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TransformerGAN: Symbolic music generation using a learned

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

We highlight a few additional tricks that helped us train on long sequences 2 TransformerGAN Given a music sequence xr from the the unknown data distribution  - Information from assets.amazon.science

Information accuracy 100%
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Two Decades of Recommender Systems at Amazoncom

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

IEEE Internet Computing article has faced many challenges and seen much development over the years Here we describe some of the updates improve - Information from assets.amazon.science

Information accuracy 100%
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Video Contrastive Learning with Global Context Amazon

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

j )) At this point the problem is formulated as a (N+1)way classifi cation task and can be optimized by InfoNCE loss [47] as LNCE(q p N−) − log - Information from assets.amazon.science

Information accuracy 100%
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Crosslingual Alignment Methods for Multilingual BERT

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

Multilingual BERT (mBERT) (Devlin et al 2019) is the BERT architecture trained on data from 104 languages where all languages are embedded in the - Information from assets.amazon.science

Information accuracy 100%
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A Selfsupervised Model for Speech Representation Learning

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

Wav2vec C introduces a novel representation learning tech RNNT [18 19 20] ASR models are widely used for deploy able endtoend speech recognition  - Information from assets.amazon.science

Information accuracy 100%
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Structured Variationally Autoencoded Optimization Amazon

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

erating Variational autoencoder (SGVAE) We de scribe and used it in the context of mapping kernel combinations produced by a contextfree grammar into - Information from assets.amazon.science

Information accuracy 100%
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Continual Learning in Practice Amazon Science

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

The principle characteristic of a ML system is that it is datadriven Given these we can learn the (locally) optimal policy: the best action to take  - Information from assets.amazon.science

Information accuracy 100%
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A simple transferlearning extension of Hyperband Amazon

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

Hyperband [1] has become a popular method to tune the hyperparameters (HPs) of expensive machine learning models whose performance depends on the amount - Information from assets.amazon.science

Information accuracy 100%
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Leveraging Hierarchical Representations for Preserving

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

stores for training machine learning models and supporting data driven decisions there were existing artifacts such as the Poincaré embeddings - Information from assets.amazon.science

Information accuracy 100%
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Neural Machine Translation For Paraphrase Generation

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

Our approach consists of machine translation (MT) inspired encoderdecoder deep recurrent neural network We evaluate our model on the impact it has on ASK  - Information from assets.amazon.science

Information accuracy 100%
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Towards Good Practices in Selfsupervised Representation

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

Unsupervised Feature Learning via Non Parametric Instancelevel Discrimination In CVPR 2018 [14] Oord A v d Y Li O Vinyals Representation learning  - Information from assets.amazon.science

Information accuracy 100%
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enhancingaudioaugmentationmethodswithconsistency

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

training deep neural networks is to use data augmentation as it [13] but for unsupervised learning of nonaudio tasks - Information from assets.amazon.science

Information accuracy 100%
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COVID19 Knowledge Graph: Accelerating Information

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

schema of the data and then enriched with biomedical entity information extracted from the link prediction analysis by extracting graph embeddings - Information from assets.amazon.science

Information accuracy 100%
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Contrastive Document Representation Learning with Graph

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

our graph document model we design a sim of our approaches in document classification theart transformer models that handle long text input5 - Information from assets.amazon.science

Information accuracy 100%
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A simple transferlearning extension of Hyperband Amazon

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

Hyperband [1] has become a popular method to tune the hyperparameters (HPs) of combining random search to a successive halving technique to reallocate  - Information from assets.amazon.science

Information accuracy 100%
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DISENTANGLEMENT FOR AUDIOVISUAL EMOTION

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

manifested through speech and facial expressions each providing tional states we colearn identity representations with an emotion - Information from assets.amazon.science

Information accuracy 100%
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ReStGAN: A step towards visually guided shopper experience

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

ception scoregender and 86% reduction in FID score (lower is better) over the traditional losses for the negative pairs in the matchingaware discrim - Information from assets.amazon.science

Information accuracy 100%
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Detecting and Correcting for Label Shift with Black Box

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

Abstract Faced with distribution shift between training and test set we wish to detect and quantify the shift and to correct our classifiers without test  - Information from assets.amazon.science

Information accuracy 100%
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fewshotqaaframeworkforfewshotlearningofquestion

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

Similarly it would require knowing the answer length in advance to have SpanBERT predict multimasked tokens Given that their pretraining objectives  - Information from assets.amazon.science

Information accuracy 100%
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dualreaderparseronhybridtextualandtabularevidencefor

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

for Open Domain Question Answering Alexander Hanbo Li Patrick Ng Peng Xu Henghui Zhu Zhiguo Wang Bing Xiang AWS AI Labs Amazon - Information from assets.amazon.science

Information accuracy 100%
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Learning Deep Fair Graph Neural Networks Amazon Science

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

One way to reach this goal is to learn a data representation that is expressive enough to describe the data and fair enough to remove the possibility to - Information from assets.amazon.science

Information accuracy 100%
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A Systematic Study of Model Distillation Methods in Natural

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

“BoolQ”(Wang et al 2019a) predicted strate gies achieve 1002 distillation ratios (fraction official GLUE leaderboard to obtain test set results - Information from assets.amazon.science

Information accuracy 100%
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Regularized Graph Convolutional Networks for Short Text

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

Regularized Graph Convolutional Networks for Short Text Classification Kshitij Tayal University of Minnesota CharCNN: Characterlevel CNNs as proposed - Information from assets.amazon.science

Information accuracy 100%
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Towards Good Practices in Selfsupervised Representation

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

Selfsupervised representation learning has seen remarkable progress in the last few Momentum Contrast for Unsupervised Visual Representation Learning - Information from assets.amazon.science

Information accuracy 100%
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using vaes and normalizing flows for oneshot texttospeech

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

Specifically we enhance the disentangle ment capabilities of a stateoftheart sequencetosequence based system with a Variational AutoEncoder (VAE) and a - Information from assets.amazon.science

Information accuracy 100%
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META QLEARNING Amazon Science

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Rl2 : Fast reinforcement learning via slow reinforcement learning arXiv:161102779 2016 Miroslav Dudık John Langford and Lihong Li - Information from assets.amazon.science

Information accuracy 100%
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Tabular Data Concept Type Detection Using StarTransformers

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

paper we focus on learningbased approaches for column concept type detection without relying on TaBERT represents each cell by the column name column - Information from assets.amazon.science

Information accuracy 100%
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Towards Good Practices in Selfsupervised Representation

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

Discriminative Unsupervised Feature Learning with Convolutional Neural Networks In NeurIPS 2014 [13] Wu Z Y Xiong S Yu et al Unsupervised Feature - Information from assets.amazon.science

Information accuracy 100%
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Collaborative Deep Denoising Autoencoder Framework for

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

Recently deep learningbased recommender systems have been actively investigated [9][10] where each user and item features are combined (or averaged  - Information from assets.amazon.science

Information accuracy 100%
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Collaborative Deep Denoising Autoencoder Framework for

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

Different from existing matrix factorization and deep learning approaches this framework combines autoencoder collaborative filtering and embedded  - Information from assets.amazon.science

Information accuracy 100%
Read more from assets.amazon.science information was found here: https://assets.amazon.science/8b/0b/849c96bb44e4916cd98a952dfc41/collaborative-denoising-auto-encoders-for-top-n-recommender-systems.pdf check now

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Discriminative Representation Loss (DRL) for Continual

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The use of episodic memories in continual learning is an efficient way to prevent the phenomenon of catastrophic for getting - Information from assets.amazon.science

Information accuracy 100%
Read more from assets.amazon.science information was found here: https://assets.amazon.science/b8/5f/c6626a034378b0043efe00a1f40a/discriminative-representation-loss-drl-for-continual-learning-a-solution-for-clvision-challenge.pdf check now

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Short Text Classification using Graph Convolutional Network

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33rd Conference on Neural Information Processing Systems (NeurIPS 2019) Vancouver Canada Page 2 • Product Title Classification (PTC): classifying billions  - Information from assets.amazon.science

Information accuracy 100%
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Tabular Data Concept Type Detection Using StarTransformers

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Author: openj-gate.com ~ Tags: assets.amazon.science ~ Date: 2022/01/08

TaBERT represents each cell by the column name column We finetune TaBERT for the table column 3https://githubcom/facebookresearch/TaBERT - Information from assets.amazon.science

Information accuracy 100%
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