Metric Learning

Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment CVPR 2023 Rethinking Negative Pairs in Code Search EMNLP 2023 Retrieve and Copy: Scaling ASR Personalization to Large Catalogs EMNLP 2023 Revisiting Prototypical Network for Cross Domain Few-Shot Learning CVPR 2023 Revisiting Source Context in Nearest Neighbor Machine Translation EMNLP 2023 Revisiting Unsupervised Local Descriptor Learning AAAI 2023 Riemannian Metric Learning via Optimal Transport ICLR 2023 Robust Concept Erasure via Kernelized Rate-Distortion Maximization NeurIPS 2023 Robust Prototype Learning for Anomalous Sound Detection Interspeech 2023 RONO: Robust Discriminative Learning With Noisy Labels for 2D-3D Cross-Modal Retrieval CVPR 2023 Rotation-Invariant Transformer for Point Cloud Matching CVPR 2023 SAH: Shifting-Aware Asymmetric Hashing for Reverse k Maximum Inner Product Search AAAI 2023 Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation ICCV 2023 Sample Complexity of Probability Divergences under Group Symmetry ICML 2023 Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search ICCV 2023 Self-supervised learning with rotation-invariant kernels ICLR 2023 Semantic Frame Induction with Deep Metric Learning EACL 2023 Semantic Similarity Models for Depression Severity Estimation EMNLP 2023 Semi-transductive Learning for Generalized Zero-Shot Sketch-Based Image Retrieval AAAI 2023 Sequential Kernelized Independence Testing ICML 2023 Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances ICML 2023 Similarity Metric Learning for RGB-Infrared Group Re-Identification CVPR 2023 Skill-Based Few-Shot Selection for In-Context Learning EMNLP 2023 Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals ICML 2023 SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers AAAI 2023