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Embedding Learning

3751 directly classified papers

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Papers

Probabilistic Embeddings for Cross-Modal Retrieval CVPR 2021
Johnson-Lindenstrauss Transforms with Best Confidence COLT 2021
A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract) AAAI 2021
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic NIPS 2021
A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval NIPS 2021
Joint Learning of 3D Shape Retrieval and Deformation CVPR 2021
Learning Progressive Point Embeddings for 3D Point Cloud Generation CVPR 2021
Learning Feature Aggregation for Deep 3D Morphable Models CVPR 2021
Video Object Segmentation Using Global and Instance Embedding Learning CVPR 2021
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning CVPR 2021
Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation CVPR 2021
Discovering Relationships Between Object Categories via Universal Canonical Maps CVPR 2021
Exponentially Improved Dimensionality Reduction for l1: Subspace Embeddings and Independence Testing COLT 2021
Incremental Few-Shot Instance Segmentation CVPR 2021
Learning the Best Pooling Strategy for Visual Semantic Embedding CVPR 2021
Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings CVPR 2021
User Factor Adaptation for User Embedding via Multitask Learning EACL 2021
Self-Adaptable Point Processes with Nonparametric Time Decays NIPS 2021
A Deep Metric Learning Approach to Account Linking NAACL 2021
How can classical multidimensional scaling go wrong? NIPS 2021
Deep kernels with probabilistic embeddings for small-data learning UAI 2021
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs NIPS 2021
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective NIPS 2021
A Hyperbolic-to-Hyperbolic Graph Convolutional Network CVPR 2021
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding CVPR 2021