metric learning

FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators ICLR 2024 Generalizable Person Re-identification via Balancing Alignment and Uniformity NeurIPS 2024 Glance To Count: Learning To Rank With Anchors for Weakly-Supervised Crowd Counting WACV 2024 HashReID: Dynamic Network With Binary Codes for Efficient Person Re-Identification WACV 2024 Heterogeneous Test-Time Training for Multi-Modal Person Re-identification AAAI 2024 HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval AAAI 2024 How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning EMNLP 2024 Hyperbolic Embeddings of Supervised Models NeurIPS 2024 Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin WACV 2024 Hyperspherical Classification with Dynamic Label-to-Prototype Assignment CVPR 2024 Image Retrieval with Self-Supervised Divergence Minimization and Cross-Attention Classification IJCAI 2024 Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks EMNLP 2024 Improving Cross-lingual Transfer with Contrastive Negative Learning and Self-training COLING 2024 Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation NeurIPS 2024 KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation IJCAI 2024 KFNN: K-Free Nearest Neighbor For Crowdsourcing NeurIPS 2024 Latent Functional Maps: a spectral framework for representation alignment NeurIPS 2024 LCOT: Linear Circular Optimal Transport ICLR 2024 Learning Embeddings for Sequential Tasks Using Population of Agents IJCAI 2024 Learning Label-Specific Multiple Local Metrics for Multi-Label Classification IJCAI 2024 Learning to Embed Distributions via Maximum Kernel Entropy NeurIPS 2024 Letting 3D Guide the Way: 3D Guided 2D Few-Shot Image Classification WACV 2024 Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging AAAI 2024 Mapping Work Task Descriptions from German Job Ads on the O*NET Work Activities Ontology COLING 2024 Matching Anything by Segmenting Anything CVPR 2024