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AlignMixup

发表于 2022-03-29 | 分类于 机器学习
PAPER: AlignMixup: Improving Representations By Interpolating Aligned Features
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MixSeq

发表于 2022-03-24 | 分类于 机器学习
PAPER
mixSeq: A Simple Data Augmentation Method for Neural Machine Translation
SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup
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mixup

发表于 2022-03-16 | 分类于 机器学习
PAPER: mixup: Beyond Empirical Risk Minimization
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Omni-Scale 1D-CNN

发表于 2022-03-09 | 分类于 机器学习
PAPER: Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
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CoST

发表于 2022-02-19 | 分类于 机器学习
PAPER: CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
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TS2Vec

发表于 2022-01-17 | 分类于 机器学习
PAPER: Learning Timestamp-Level Representations for Time Series with Hierarchical Contrastive Loss
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Long Sequence Modeling

发表于 2022-01-10 | 分类于 机器学习
PAPER
Longformer: The Long-Document Transformer
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Poolingformer: Long Document Modeling with Pooling Attention
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SplitMask

发表于 2022-01-05 | 分类于 机器学习
PAPER: Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
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《Self-supervised Video Representation Learning by Context and Motion Decoupling》

发表于 2021-12-29 | 分类于 机器学习
PAPER:Self-supervised Video Representation Learning by Context and Motion Decoupling
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Masked Autoencoders (MAE)

发表于 2021-12-27 | 分类于 机器学习
PAPER: Masked Autoencoders Are Scalable Vision Learners
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