A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses

19 March 2020

Papers citing "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses"

24 / 24 papers shown

Title
Statistical Deficiency for Task Inclusion Estimation Loïc Fosse Frédéric Béchet Benoit Favre Géraldine Damnati Gwénolé Lecorvé Maxime Darrin Philippe Formont Pablo Piantanida 127 0 0 07 Mar 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 52 0 0 25 Feb 2025
Improving Deep Regression with Tightness Shihao Zhang Yuguang Yan Angela Yao OOD 84 0 0 13 Feb 2025
YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID Iñaki Erregue Kamal Nasrollahi Sergio Escalera VOT 57 0 0 23 Jan 2025
Data Pruning Can Do More: A Comprehensive Data Pruning Approach for Object Re-identification Zi Yang Haojin Yang Soumajit Majumder Jorge M. Cardoso Guillermo Gallego MoMe VLM 93 1 0 13 Dec 2024
Spatially Optimized Compact Deep Metric Learning Model for Similarity Search Md. Farhadul Islam Md. Tanzim Reza Meem Arafat Manab Mohammad Rakibul Hasan Mahin Sarah Zabeen Jannatun Noor 25 0 0 09 Apr 2024
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification Mahdi Alehdaghi Pourya Shamsolmoali Rafael M. O. Cruz Eric Granger 38 1 0 16 Mar 2024
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction Zilin Du Haoxin Li Xu Guo Boyang Li 29 1 0 05 Dec 2023
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap Weiyang Liu L. Yu Adrian Weller Bernhard Schölkopf 32 17 0 11 Mar 2023
Mutual Information Regularization for Vertical Federated Learning Tianyuan Zou Yang Liu Ya-Qin Zhang AAML FedML 24 7 0 01 Jan 2023
StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from Style-Based TTS Models Yinghao Aaron Li Cong Han N. Mesgarani 15 18 0 29 Dec 2022
Dealing with missing data using attention and latent space regularization J. Penny-Dimri Christoph Bergmeir Julian Smith 25 0 0 14 Nov 2022
Contrastive Classification and Representation Learning with Probabilistic Interpretation Rahaf Aljundi Yash J. Patel Milan Šulc Daniel Olmeda N. Chumerin SSL 31 5 0 07 Nov 2022
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks Jon Almazán ByungSoo Ko Geonmo Gu Diane Larlus Yannis Kalantidis ObjD VLM 28 7 0 05 Oct 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples Duong H. Le Khoi Duc Minh Nguyen Khoi Nguyen Quoc-Huy Tran Rang Nguyen Binh-Son Hua OODD 30 39 0 08 Jun 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida FaML DRL 38 21 0 07 May 2022
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning Aleksandr Ermolov L. Mirvakhabova Valentin Khrulkov N. Sebe Ivan V. Oseledets 25 100 0 21 Mar 2022
A Survey on Visual Transfer Learning using Knowledge Graphs Sebastian Monka Lavdim Halilaj Achim Rettinger 19 23 0 27 Jan 2022
Deep Hash Distillation for Image Retrieval Young Kyun Jang Geonmo Gu ByungSoo Ko Isaac Kang N. Cho 19 34 0 16 Dec 2021
Improving Multimodal fusion via Mutual Dependency Maximisation Pierre Colombo E. Chapuis Matthieu Labeau Chloé Clavel 13 29 0 31 Aug 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 20 38 0 29 Mar 2021
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning Geonmo Gu ByungSoo Ko Han-Gyu Kim 19 36 0 29 Mar 2021
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives Nils Rethmeier Isabelle Augenstein SSL VLM 85 90 0 25 Feb 2021
Deep Learning for Instance Retrieval: A Survey Wei-Neng Chen Yu Liu Weiping Wang E. Bakker Theodoros Georgiou Paul Fieguth Li Liu M. Lew VLM 11 144 0 27 Jan 2021