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Metric Learning

2800 directly classified papers

Papers per year

Papers

Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition CVPR 2019
Learning Metrics From Teachers: Compact Networks for Image Embedding CVPR 2019
UniformFace: Learning Deep Equidistributed Representation for Face Recognition CVPR 2019
Who wrote this book? A challenge for e-commerce EMNLP 2019
On Densification for Minwise Hashing UAI 2019
Improving Answer Selection and Answer Triggering using Hard Negatives EMNLP 2019
A Deep Neural Information Fusion Architecture for Textual Network Embeddings EMNLP 2019
Answer-Supervised Question Reformulation for Enhancing Conversational Machine Comprehension EMNLP 2019
Split or Merge: Which is Better for Unsupervised RST Parsing? EMNLP 2019
Multi-branch Siamese Network for High Performance Online Visual Tracking ACML 2019
Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators ACML 2019
Evaluating Research Novelty Detection: Counterfactual Approaches EMNLP 2019
Incorporating Label Dependencies in Multilabel Stance Detection EMNLP 2019
Semantic Relatedness Based Re-ranker for Text Spotting EMNLP 2019
Learning Invariant Representations of Social Media Users EMNLP 2019
Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation EMNLP 2019
On Efficient Retrieval of Top Similarity Vectors EMNLP 2019
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks AISTATS 2019
Fast Low-rank Metric Learning for Large-scale and High-dimensional Data NIPS 2019
Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability AISTATS 2019
Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning CVPR 2019
Metric Learning for Dynamic Text Classification EMNLP 2019
Sliced Gromov-Wasserstein NIPS 2019
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling NIPS 2019
Adaptive Cross-Modal Few-shot Learning NIPS 2019