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Representation Learning

4,925 papers

Papers per year

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Papers

Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis AAAI 2020
Revisiting Bilinear Pooling: A Coding Perspective AAAI 2020
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory AAAI 2020
Query-Driven Multi-Instance Learning AAAI 2020
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks AAAI 2020
DIANet: Dense-and-Implicit Attention Network AAAI 2020
Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization AAAI 2020
Invariant Representations through Adversarial Forgetting AAAI 2020
Long Short-Term Sample Distillation AAAI 2020
Nonlinear System Identification via Tensor Completion AAAI 2020
Independence Promoted Graph Disentangled Networks AAAI 2020
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk AAAI 2020
Structured Sparsification of Gated Recurrent Neural Networks AAAI 2020
The HSIC Bottleneck: Deep Learning without Back-Propagation AAAI 2020
Multi-Zone Unit for Recurrent Neural Networks AAAI 2020
Deep Embedded Non-Redundant Clustering AAAI 2020
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs AAAI 2020
Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification AAAI 2020
Temporal Network Embedding with High-Order Nonlinear Information AAAI 2020
Actionable Ethics through Neural Learning AAAI 2020
Uncertainty-Aware Deep Classifiers Using Generative Models AAAI 2020
Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution AAAI 2020
Deep Message Passing on Sets AAAI 2020
Hierarchically Clustered Representation Learning AAAI 2020
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers AAAI 2020