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Representation Learning

5,307 papers

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Papers

Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects CVPR 2020 Variational Autoencoders with Riemannian Brownian Motion Priors ICML 2020 Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring CVPR 2020 Vector Quantization-Based Regularization for Autoencoders AAAI 2020 Vector-Quantized Neural Networks for Acoustic Unit Discovery in the ZeroSpeech 2020 Challenge Interspeech 2020 ViBE: Dressing for Diverse Body Shapes CVPR 2020 Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning CVPR 2020 Visual Commonsense R-CNN CVPR 2020 Visual Objects As Context: Exploiting Visual Objects for Lexical Entailment EMNLP 2020 Warp to the Future: Joint Forecasting of Features and Feature Motion CVPR 2020 wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations NeurIPS 2020 WaveletStereo: Learning Wavelet Coefficients of Disparity Map in Stereo Matching CVPR 2020 Weak Form Generalized Hamiltonian Learning NeurIPS 2020 Weakly Supervised Disentanglement by Pairwise Similarities AAAI 2020 Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning CVPR 2020 Weakly-Supervised Semantic Segmentation via Sub-Category Exploration CVPR 2020 What is Learned in Visually Grounded Neural Syntax Acquisition ACL 2020 What's Hidden in a Randomly Weighted Neural Network? CVPR 2020 What’s so special about BERT’s layers? A closer look at the NLP pipeline in monolingual and multilingual models EMNLP 2020 When Do GNNs Work: Understanding and Improving Neighborhood Aggregation IJCAI 2020 Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation AAAI 2020 Why Overfitting Isn’t Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries ACL 2020 Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia EMNLP 2020 Will it Unblend? EMNLP 2020 Word class flexibility: A deep contextualized approach EMNLP 2020