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Metric Learning
172 directly classified papers
Papers per year
2006: 1
2007: 2
2009: 4
2010: 1
2011: 1
2012: 1
2013: 3
2014: 3
2015: 8
2016: 5
2017: 6
2018: 11
2019: 25
2020: 18
2021: 14
2022: 20
2023: 22
2024: 11
2025: 14
2026: 2
Papers
A Proposal-Based Approach for Activity Image-to-Video Retrieval
AAAI 2020
Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning
AAAI 2019
Learning Binary Code for Personalized Fashion Recommendation
CVPR 2019
Who wrote this book? A challenge for e-commerce
EMNLP 2019
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation
EMNLP 2019
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
EMNLP 2019
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin
AAAI 2019
Data-Adaptive Metric Learning with Scale Alignment
AAAI 2019
Near-Neighbor Methods in Random Preference Completion
AAAI 2019
Better and Faster: Exponential Loss for Image Patch Matching
ICCV 2019
Studying Laws of Semantic Divergence across Languages using Cognate Sets
ACL 2019
Context-Aware Visual Compatibility Prediction
CVPR 2019
Discriminative Feature Learning With Consistent Attention Regularization for Person Re-Identification
ICCV 2019
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering
AAAI 2019
Active Embedding Search via Noisy Paired Comparisons
ICML 2019
HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification
AAAI 2019
Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images
CVPR 2019
f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition
AAAI 2019
Dual-View Ranking with Hardness Assessment for Zero-Shot Learning
AAAI 2019
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning
EMNLP 2019
Deep Unknown Intent Detection with Margin Loss
ACL 2019
Metric Learning for Adversarial Robustness
NIPS 2019
Multiclass Performance Metric Elicitation
NIPS 2019
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy
AAAI 2019
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer
AAAI 2019
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