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Metric Learning

2,854 papers

Papers per year

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Papers

Markov Random Fields for Collaborative Filtering NIPS 2019
One-Shot Object Detection with Co-Attention and Co-Excitation NIPS 2019
Learning Nearest Neighbor Graphs from Noisy Distance Samples NIPS 2019
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling NIPS 2019
Random Projections with Asymmetric Quantization NIPS 2019
Neural Similarity Learning NIPS 2019
Sliced Gromov-Wasserstein NIPS 2019
Correlation Clustering with Adaptive Similarity Queries NIPS 2019
Spatial-Aware Feature Aggregation for Image based Cross-View Geo-Localization NIPS 2019
Metric Learning for Adversarial Robustness NIPS 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs NIPS 2019
Input Similarity from the Neural Network Perspective NIPS 2019
Adaptive Cross-Modal Few-shot Learning NIPS 2019
Differentiable Ranking and Sorting using Optimal Transport NIPS 2019
Quaternion Knowledge Graph Embeddings NIPS 2019
GOT: An Optimal Transport framework for Graph comparison NIPS 2019
Discrete Social Recommendation AAAI 2019
Text Assisted Insight Ranking Using Context-Aware Memory Network AAAI 2019
Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning AAAI 2019
How Similar Are Two Elections? AAAI 2019
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin AAAI 2019
Data-Adaptive Metric Learning with Scale Alignment AAAI 2019
Collaboration Based Multi-Label Learning AAAI 2019
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy AAAI 2019
Similarity Learning via Kernel Preserving Embedding AAAI 2019