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Representation Learning

4,925 papers

Papers per year

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Papers

Uncertainty-Aware Multi-View Representation Learning AAAI 2021
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization AAAI 2021
Towards Reusable Network Components by Learning Compatible Representations AAAI 2021
Neural Utility Functions AAAI 2021
IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks AAAI 2021
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning AAAI 2021
Neural Sequence-to-grid Module for Learning Symbolic Rules AAAI 2021
Multi-View Representation Learning with Manifold Smoothness AAAI 2021
Contrastive Clustering AAAI 2021
Adaptive Knowledge Driven Regularization for Deep Neural Networks AAAI 2021
Deep Mutual Information Maximin for Cross-Modal Clustering AAAI 2021
Disentangled Information Bottleneck AAAI 2021
Multi-type Disentanglement without Adversarial Training AAAI 2021
Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain AAAI 2021
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task AAAI 2021
Learning to Purify Noisy Labels via Meta Soft Label Corrector AAAI 2021
Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science AAAI 2021
Hierarchical Graph Capsule Network AAAI 2021
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images AAAI 2021
Partial-Label and Structure-constrained Deep Coupled Factorization Network AAAI 2021
Looking Wider for Better Adaptive Representation in Few-Shot Learning AAAI 2021
Distilling Localization for Self-Supervised Representation Learning AAAI 2021
Graph Neural Networks with Heterophily AAAI 2021
Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization AAAI 2021
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors AAAI 2021