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https://mpavlovski.info/pubs/multi-aspect-matching-between-disentangled-representations-of-user-interests-and-content-for-news-recommendation/ Martin Pavlovski - Multi-Aspect Matching between Disentangled Representations of User Interests and... Feb 20, 2026 - Abstract Personalized news recommendation is a crucial technique to help users find the content of interest from massive news. While most news recommendation... https://www.lse.ac.uk/GranthamInstitute/publication/discounting-disentangled/ Discounting disentangled - Grantham Research Institute on climate change and the environment Sep 18, 2024 - This working paper finds that current policy guidance concerning social discounting and the evaluation of long-term public projects needs to be updated. grantham research institute on climate change discounting disentangled https://www.sml-group.cc/publication/petangoda-2019/ Disentangled Skill Embeddings for Reinforcement Learning | Sustainability and Machine Learning Group reinforcement learning disentangled skill embeddings sustainability https://bytez.com/docs/arxiv/1809.01936/paper Disentangled Variational Representation for Heterogeneous Face Recognition | Read Paper on Bytez Sep 6, 2018 - Visible (VIS) to near infrared (NIR) face matching is a challenging problem due to the significant domain discrepancy between the domains and a lack of... face recognition read paper disentangled representation https://openreview.net/forum?id=YdsSr4Za66&referrer=%5Bthe%20profile%20of%20Chao%20Wang%5D(%2Fprofile%3Fid%3D~Chao_Wang17) DR2: Disentangled Recurrent Representation Learning for Data-Efficient Speech Video Synthesis |... Although substantial progress has been made in audiodriven talking video synthesis, there still remain two major difficulties: existing works 1) need a long... learning for disentangled recurrent representation https://kth.diva-portal.org/smash/record.jsf?pid=diva2:1681859 Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation equine pain behavior classification via https://proceedings.neurips.cc/paper/2020/hash/56f9f88906aebf4ad985aaec7fa01313-Abstract.html ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping feature attribution icam classification via disentangled https://www.daylekinney.com/post/20-nov-disentangled 20 Nov -Disentangled Nov 20, 2016 - Recently I felt God speak to me about disentangling myself from the things of the earth. The everyday aspects of our life, the relationships, cares and... nov disentangled https://deepai.org/publication/human-pose-transfer-with-disentangled-feature-consistency Human Pose Transfer with Disentangled Feature Consistency | DeepAI Jul 23, 2021 - 07/23/21 - Deep generative models have made great progress in synthesizing images with arbitrary human poses and transferring poses of one pe... human pose transfer disentangled feature https://research.polyu.edu.hk/en/publications/diprompt-disentangled-prompt-tuning-for-multiple-latent-domain-ge/ DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated... disentangled prompt tuning https://pure.ecnu.edu.cn/zh/publications/multi-aspect-matching-between-disentangled-representations-of-use/ Multi-Aspect Matching between Disentangled Representations of User Interests and Content for News... https://www.swiftscholar.net/paper/69ec05785127ff45a9deefa8 Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the... SwiftScholar, review papers with AI. learning for disentangled representation authorship attribution