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representation learning

6206 papers

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Also known as

RL

Co-occurring keywords

contrastive learning (4032) self-supervised learning (3777) transfer learning (5449) neural network (6616) unsupervised learning (3264) graph neural network (3962) multimodal learning (4645) domain adaptation (4595) feature learning (1311) language model (4599)

Papers

Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases NIPS 2020
Learning Representations from Audio-Visual Spatial Alignment NIPS 2020
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems NIPS 2020
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect NIPS 2020
Hard Negative Mixing for Contrastive Learning NIPS 2020
Variational Interaction Information Maximization for Cross-domain Disentanglement NIPS 2020
Large-Scale Adversarial Training for Vision-and-Language Representation Learning NIPS 2020
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment NIPS 2020
Supervised Contrastive Learning NIPS 2020
Interpreting Multimodal Machine Learning Models Trained for Emotion Recognition to Address Robustness and Privacy Concerns AAAI 2020
Ladder Loss for Coherent Visual-Semantic Embedding AAAI 2020
Neuron Interaction Based Representation Composition for Neural Machine Translation AAAI 2020
Multi-Component Graph Convolutional Collaborative Filtering AAAI 2020
Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract) AAAI 2020
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment AAAI 2020
MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs AAAI 2020
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval AAAI 2020
Commonsense Knowledge Base Completion with Structural and Semantic Context AAAI 2020
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching AAAI 2020
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets AAAI 2020
Nonlinear Mixup: Out-Of-Manifold Data Augmentation for Text Classification AAAI 2020
Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution AAAI 2020
Multi-View Multiple Clusterings Using Deep Matrix Factorization AAAI 2020
Topic Modeling on Document Networks with Adjacent-Encoder AAAI 2020
Latent Relation Language Models AAAI 2020