| Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches | Jul 6, 2020 | Clusteringimage-classification | —Unverified | 0 |
| Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling | Oct 10, 2018 | Content-Based Image RetrievalImage Retrieval | —Unverified | 0 |
| Learning From Noisy Correspondence With Tri-Partition for Cross-Modal Matching | Sep 22, 2023 | Cross-modal retrieval with noisy correspondenceMemorization | —Unverified | 0 |
| Learning General Policies for Classical Planning Domains: Getting Beyond C_2 | Mar 18, 2024 | Triplet | —Unverified | 0 |
| Learning Graphs for Knowledge Transfer With Limited Labels | Jun 19, 2021 | Action RecognitionBenchmarking | —Unverified | 0 |
| Learning Hyperbolic Representations for Unsupervised 3D Segmentation | Sep 28, 2020 | SegmentationTriplet | —Unverified | 0 |
| Learning Incremental Triplet Margin for Person Re-identification | Dec 17, 2018 | Metric LearningPerson Re-Identification | —Unverified | 0 |
| Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images | Aug 9, 2021 | cross-modal alignmentCross-Modal Retrieval | —Unverified | 0 |
| Learning Local Descriptors With a CDF-Based Dynamic Soft Margin | Oct 1, 2019 | Triplet | —Unverified | 0 |
| Learning Neural Textual Representations for Citation Recommendation | Jul 8, 2020 | Citation RecommendationSentence | —Unverified | 0 |