Metric Learning

GENNAPE: Towards Generalized Neural Architecture Performance Estimators AAAI 2023 Geometry-Aware Adaptation for Pretrained Models NeurIPS 2023 Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation ICCV 2023 Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces NeurIPS 2023 GlueStick: Robust Image Matching by Sticking Points and Lines Together ICCV 2023 GNAT: A General Narrative Alignment Tool EMNLP 2023 Gold Doesn’t Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information EACL 2023 GPTCache: An Open-Source Semantic Cache for LLM Applications Enabling Faster Answers and Cost Savings EMNLP 2023 GradSim: Gradient-Based Language Grouping for Effective Multilingual Training EMNLP 2023 Graph Alignment Kernels using Weisfeiler and Leman Hierarchies AISTATS 2023 Hierarchical Sliced Wasserstein Distance ICLR 2023 HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization CVPR 2023 How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? ICLR 2023 HSE: Hybrid Species Embedding for Deep Metric Learning ICCV 2023 Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings CVPR 2023 Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels NeurIPS 2023 HyperShot: Few-Shot Learning by Kernel HyperNetworks WACV 2023 Hypotheses Tree Building for One-Shot Temporal Sentence Localization AAAI 2023 Image-Text Pre-Training for Logo Recognition WACV 2023 Implicit Identity Driven Deepfake Face Swapping Detection CVPR 2023 Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning (Student Abstract) AAAI 2023 Improving Cross-Modal Retrieval With Set of Diverse Embeddings CVPR 2023 Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining AISTATS 2023 Improving Multimodal Sentiment Analysis: Supervised Angular margin-based Contrastive Learning for Enhanced Fusion Representation EMNLP 2023 Improving neural network representations using human similarity judgments NeurIPS 2023