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Representation Learning

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Papers

Truth-Conditional Captions for Time Series Data EMNLP 2021 TSDAE: Using Transformer-based Sequential Denoising Auto-Encoderfor Unsupervised Sentence Embedding Learning EMNLP 2021 T-vMF Similarity for Regularizing Intra-Class Feature Distribution CVPR 2021 Two Heads are Better Than One: Hypergraph-Enhanced Graph Reasoning for Visual Event Ratiocination ICML 2021 Two-Stream Convolution Augmented Transformer for Human Activity Recognition AAAI 2021 Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering ICML 2021 UIBert: Learning Generic Multimodal Representations for UI Understanding IJCAI 2021 UIUC_BioNLP at SemEval-2021 Task 11: A Cascade of Neural Models for Structuring Scholarly NLP Contributions SemEval 2021 Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model ACL 2021 Unbalanced Optimal Transport through Non-negative Penalized Linear Regression NeurIPS 2021 UNBERT: User-News Matching BERT for News Recommendation IJCAI 2021 UNBNLP at SemEval-2021 Task 1: Predicting lexical complexity with masked language models and character-level encoders SemEval 2021 Uncertain Graph Neural Networks for Facial Action Unit Detection AAAI 2021 Uncertainty-Aware Multi-View Representation Learning AAAI 2021 Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble NeurIPS 2021 Understanding Adaptive, Multiscale Temporal Integration In Deep Speech Recognition Systems NeurIPS 2021 Understanding and Interpreting the Impact of User Context in Hate Speech Detection NAACL 2021 Understanding Deflation Process in Over-parametrized Tensor Decomposition NeurIPS 2021 Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization NeurIPS 2021 Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMap, and PaCMAP for Data Visualization JMLR 2021 Understanding How Encoder-Decoder Architectures Attend NeurIPS 2021 Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers ICML 2021 Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning NeurIPS 2021 Understanding Noise Injection in GANs ICML 2021 Understanding Robustness in Teacher-Student Setting: A New Perspective AISTATS 2021