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Embedding Learning

3,753 papers

Papers per year

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Papers

Improving Hashing Algorithms for Similarity Search via MLE and the Control Variates Trick ACML 2021
Metric Learning for comparison of HMMs using Graph Neural Networks ACML 2021
Nested Barycentric Coordinate System as an Explicit Feature Map AISTATS 2021
Latent variable modeling with random features AISTATS 2021
One-Sketch-for-All: Non-linear Random Features from Compressed Linear Measurements AISTATS 2021
A Change of Variables Method For Rectangular Matrix-Vector Products AISTATS 2021
Hyperbolic graph embedding with enhanced semi-implicit variational inference. AISTATS 2021
Exponentially Improved Dimensionality Reduction for l1: Subspace Embeddings and Independence Testing COLT 2021
Johnson-Lindenstrauss Transforms with Best Confidence COLT 2021
Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning CONLL 2021
Scaffolded input promotes atomic organization in the recurrent neural network language model CONLL 2021
Polar Embedding CONLL 2021
Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation CVPR 2021
Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings CVPR 2021
Embedding Transfer With Label Relaxation for Improved Metric Learning CVPR 2021
Probabilistic Embeddings for Cross-Modal Retrieval CVPR 2021
Learning the Best Pooling Strategy for Visual Semantic Embedding CVPR 2021
Incremental Few-Shot Instance Segmentation CVPR 2021
Thinking Fast and Slow: Efficient Text-to-Visual Retrieval With Transformers CVPR 2021
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation CVPR 2021
Learning Graph Embeddings for Compositional Zero-Shot Learning CVPR 2021
Point Cloud Instance Segmentation Using Probabilistic Embeddings CVPR 2021
Deep Compositional Metric Learning CVPR 2021
Discovering Relationships Between Object Categories via Universal Canonical Maps CVPR 2021
Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation CVPR 2021