京东 11.11 红包
【自娱自阅】A Unified MRC Framework for Named Entity Recognition
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【自娱自阅】Unsupervised Feature Learning via Non-Parametric Instance Discrimination
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【自娱自阅】Stochastic Weight Averaging for Generalization
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【自娱自阅】ReMixMatch 半监督学习 distribution alignment and augmentation anchor
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【自娱自阅】Likelihood Landscapes A Unify Principle of many Adversarial Defenses
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【自娱自阅】Perceiver General Perception with Iterative Attention
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【自娱自阅】CutMix Regularization Strategy with Localizable Features
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【自娱自阅】Phrase-Based(没有) & Neural Unsupervised Machine Translation
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【自娱自阅】SimSiam: Exploring Simple Siamese Representation Learning
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【自娱自阅】CESI Canonicalize Open Knowledge Bases by Embeddings & Side Information
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【自娱自阅】Visualizing the Loss Landscape of Neural Nets
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【自娱自阅】Training independent subnetworks for robust prediction
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【自娱自阅】A Multimodal Translation-Based Approach for Knowledge Graph Representation
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【自娱自阅】Unsupervised Question Answering by Cloze Translation
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【自娱自阅】Uncertainty-aware Self-training for Few-shot Text Classification
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【自娱自阅】Rethinking Feature Distribution for Loss Functions in Image Classification
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【自娱自阅】VAT Virtual Adversarial Training for semi-supervised learning
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【自娱自阅】Triple Wins Accuracy Robustness Efficiency by Input-adaptive Inference
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【自娱自阅】Theoretically(没看) Principled Trade-off between Robustness and Accuracy
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【自娱自阅】Use latent space regression to analyze & leverage compositionality in GAN
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【自娱自阅】Active Learning with Uncertainty
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【自娱自阅】When Do Curricula Work？
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【自娱自阅】UDA Unsupervised Data Augmentation for Consistency Training
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【自娱自阅】Guided Diffus Model for Adversarial Purification
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【自娱自阅】Text Classification Using Label Names Only A LM self-training way
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【自娱自阅】deep fool and defense
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【自娱自阅】Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
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【自娱自阅】Unsupervised Clustering 地震波信号 using Conv Autoencoders
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【自娱自阅】Robustness May Be at Odds with Accuracy
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【自娱自阅】CaRe Open Knowledge Graph Embedding
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【自娱自阅】Clustering-friendly Representation Learning Feature Decorrelate
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【自娱自阅】A Unified Energy-Based Framework for Unsupervised Learning
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【自娱自阅】Stochastic Security Adversarial Defense Using Long-Run Dynamics of EBM
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【自娱自阅】MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
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【自娱自阅】There Are Many Consistent Explanations Of Unlabeled Data, should average
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【自娱自阅】Adversarial Examples Are Not Bugs, They Are Features
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【自娱自阅】Towards the first adversarially robust neural network model on MNIST
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【自娱自阅】MixMatch: A Holistic Approach to Semi-supervised Learning
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【自娱自阅】Representation learning with contrastive predictive coding
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【自娱自阅】Understanding Black-box Predictions via Influence Functions
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【自娱自阅】softmax变种合集