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https://velog.io/@sangwu99/Collaborative-Metric-Learning-WWW-2017 Collaborative Metric Learning (WWW 2017) metric learning collaborative www 2017 https://openreview.net/forum?id=fw9xLXW76v&referrer=%5Bthe%20profile%20of%20Weixuan%20Tang%5D(%2Fprofile%3Fid%3D~Weixuan_Tang1) Meta Security Metric Learning for Secure Deep Image Hiding | OpenReview Deep Image Hiding (DIH) aims to imperceptibly hide images within image. To improve its security performance, some DIH methods design Security Metrics (SMs) to... metric learning deep image meta security secure https://deepai.org/publication/multi-task-metric-learning-on-network-data Multi-Task Metric Learning on Network Data | DeepAI Nov 10, 2014 - 11/10/14 - Multi-task learning (MTL) improves prediction performance in different contexts by learning models jointly on multiple different, ... multi task metric learning network data deepai https://research.google/pubs/no-fuss-distance-metric-learning-using-proxies/ No Fuss Distance Metric Learning using Proxies distance metric fuss learning using proxies https://arxiv.org/abs/2202.01953 [2202.01953] Active metric learning and classification using similarity queries Abstract page for arXiv paper 2202.01953: Active metric learning and classification using similarity queries metric learning 2202 01953 active classification https://openreview.net/forum?id=JJQbk2hIQ5 [Re] Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning | OpenReview Reproducibility report for paper "Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning" metric learning hypergraph induced semantic tuplet https://deepai.org/publication/provably-robust-metric-learning Provably Robust Metric Learning | DeepAI Jun 12, 2020 - 06/12/20 - Metric learning is an important family of algorithms for classification and similarity search, but the robustness of learned metri... metric learning robust deepai https://openreview.net/forum?id=vPcm-18F5kk&referrer=%5Bthe%20profile%20of%20Qicheng%20Lao%5D(%2Fprofile%3Fid%3D~Qicheng_Lao2) On the Benefits of Two Dimensional Metric Learning | OpenReview In this paper, we study two dimensional metric learning (2DML) for matrix data from both theoretical and algorithmic perspectives. We first investigate the... on the benefits of two dimensional metric learning openreview https://openreview.net/forum?id=5AB5JcNIFs&referrer=%5Bthe%20profile%20of%20Ting%20Xiao%5D(%2Fprofile%3Fid%3D~Ting_Xiao1) Relationship constraint deep metric learning | OpenReview Deep metric learning (DML) models aim to learn semantically meaningful representations in which similar samples are pulled together and dissimilar samples are... metric learning relationship constraint deep openreview https://arxiv.org/abs/2506.15383 [2506.15383] Global Ground Metric Learning with Applications to scRNA data Abstract page for arXiv paper 2506.15383: Global Ground Metric Learning with Applications to scRNA data metric learning 2506 15383 global ground https://openreview.net/forum?id=ZmNcOSrXFIm Unsupervised Deep Metric Learning for the inference of hemodynamic value with Electrocardiogram... Inferring hemodynamics using Deep Metric Learning on unlabeled ECGs metric learning for the https://openreview.net/forum?id=ZNBblMEP16 Depth-discriminative Metric Learning for Monocular 3D Object Detection | OpenReview Monocular 3D object detection poses a significant challenge due to the lack of depth information in RGB images. Many existing methods strive to enhance the... 3d object detection metric learning depth monocular openreview https://keras.io/examples/vision/metric_learning_tf_similarity/ Metric learning for image similarity search using TensorFlow Similarity Keras documentation: Metric learning for image similarity search using TensorFlow Similarity metric learning image similarity search using tensorflow https://openreview.net/forum?id=GQJx8U3O8c A Pipeline for Interpretable Clinical Subtyping with Deep Metric Learning | OpenReview Clinical subtyping, a critical component of personalized medicine, classifies patients with a particular disease into distinct subgroups based on their unique... metric learning pipeline clinical https://deepai.org/publication/multimodal-metric-learning-for-tag-based-music-retrieval Multimodal Metric Learning for Tag-based Music Retrieval | DeepAI Oct 30, 2020 - 10/30/20 - Tag-based music retrieval is crucial to browse large-scale music libraries efficiently. Hence, automatic music tagging has been ac... metric learning based music multimodal tag retrieval https://uwaterloo.ca/embedded-software-group/references/distributed-nonlinear-model-predictive-control-and-metric Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle... model predictive control metric learning distributed nonlinear https://deepai.org/publication/supervised-categorical-metric-learning-with-schatten-p-norms Supervised Categorical Metric Learning with Schatten p-Norms | DeepAI Feb 26, 2020 - 02/26/20 - Metric learning has been successful in learning new metrics adapted to numerical datasets. However, its development on categorical... metric learning p norms supervised categorical schatten https://www.amazon.science/blog/more-reliable-nearest-neighbor-search-with-deep-metric-learning/ More reliable nearest-neighbor search with deep metric learning - Amazon Science May 31, 2024 - Novel loss term that can be added to any loss function regularizes interclass and intraclass distances. nearest neighbor search more reliable metric learning https://www.mdpi.com/1424-8220/23/15/6951 Metric Learning-Guided Semi-Supervised Path-Interaction Fault Diagnosis Method for Extremely... The lack of labeled data and variable working conditions brings challenges to the application of intelligent fault diagnosis. Given this, extracting labeled... metric learning https://openreview.net/forum?id=uihqg5kZ7N&referrer=%5Bthe%20profile%20of%20Weixuan%20Tang%5D(%2Fprofile%3Fid%3D~Weixuan_Tang1) Meta Security Metric Learning for Secure Deep Image Hiding | OpenReview Deep Image Hiding (DIH) aims to imperceptibly hide images within image. To improve its security performance, some DIH methods design Security Metrics (SMs) to... metric learning deep image meta security secure https://aclanthology.org/C08-1100/ Metric Learning for Synonym Acquisition - ACL Anthology Nobuyuki Shimizu, Masato Hagiwara, Yasuhiro Ogawa, Katsuhiko Toyama, Hiroshi Nakagawa. Proceedings of the 22nd International Conference on Computational... metric learning synonym acquisition acl anthology https://arxiv.org/html/2506.00563v2 Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning... metric learning large scale understanding behavioral https://openreview.net/forum?id=58XMiu8kot Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval | OpenReview We propose a Bayesian encoder for metric learning. Rather than relying on neural amortization as done in prior works, we learn a distribution over the network... metric learning uncertainty quantification image retrieval bayesian openreview https://deepai.org/publication/text-anchor-based-metric-learning-for-small-footprint-keyword-spotting Text Anchor Based Metric Learning for Small-footprint Keyword Spotting | DeepAI Aug 12, 2021 - 08/12/21 - Keyword Spotting (KWS) remains challenging to achieve the trade-off between small footprint and high accuracy. Recently proposed m... metric learning small footprint keyword spotting text anchor https://wandb.ai/ayush-thakur/metric-learning/reports/Metric-Learning-for-Image-Search-With-Weights-Biases--VmlldzoyNTM0NDc Metric Learning for Image Search With Weights & Biases metric learning image search weights biases https://openreview.net/forum?id=St7aZgQJBf&referrer=%5Bthe%20profile%20of%20Diane%20Oyen%5D(%2Fprofile%3Fid%3D~Diane_Oyen1) Curriculum metric learning for robust image retrieval | OpenReview Deep Metric Learning (DML) is a widely used paradigm for learning data representations used for retrieval, where the goal is to retrieve a set of items that... metric learning image retrieval curriculum robust openreview https://easychair.org/publications/preprint/TlTb Metric Learning with Feature Embedding for Segmentation Quality Evaluation metric learning feature embedding segmentation quality https://openreview.net/forum?id=QqvrpgNtho Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning... A key approach to state abstraction is approximating behavioral metrics (notably, bisimulation metrics) in the observation space and embedding these learned... metric learning large scale understanding behavioral https://jmlr.org/papers/v14/slivkins13a.html Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections metric spaces https://aclanthology.org/2021.findings-acl.282/ Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling -... Yutai Hou, Yongkui Lai, Cheng Chen, Wanxiang Che, Ting Liu. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. 2021.