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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

Category-Specific Nuance Exploration Network for Fine-Grained Object Retrieval AAAI 2022
Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution NIPS 2022
Subsidiary Prototype Alignment for Universal Domain Adaptation NIPS 2022
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning NIPS 2022
MACK: Multimodal Aligned Conceptual Knowledge for Unpaired Image-text Matching NIPS 2022
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators NIPS 2022
An Empirical Study on Disentanglement of Negative-free Contrastive Learning NIPS 2022
Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation IJCAI 2022
Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning IJCAI 2022
Domain Generalization through the Lens of Angular Invariance IJCAI 2022
HCSC: Hierarchical Contrastive Selective Coding CVPR 2022
Learning ABCs: Approximate Bijective Correspondence for Isolating Factors of Variation With Weak Supervision CVPR 2022
IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment CVPR 2022
Balanced Contrastive Learning for Long-Tailed Visual Recognition CVPR 2022
Directional Self-Supervised Learning for Heavy Image Augmentations CVPR 2022
Riemannian Neural SDE: Learning Stochastic Representations on Manifolds NIPS 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold NIPS 2022
Representing Spatial Trajectories as Distributions NIPS 2022
Bridging the Gap from Asymmetry Tricks to Decorrelation Principles in Non-contrastive Self-supervised Learning NIPS 2022
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs NIPS 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts NIPS 2022
Laplacian Autoencoders for Learning Stochastic Representations NIPS 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods NIPS 2022
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation NIPS 2022
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning CVPR 2022