Papers citing 'Hyperspherical Variational Auto-Encoders'

Title
KDSTM: Neural Semi-supervised Topic Modeling with Knowledge Distillation Weijie Xu Xiaoyu Jiang Jay Desai Bin Han Fuqin Yan Francis Iannacci BDL 230 4 0 04 Jul 2023
vONTSS: vMF based semi-supervised neural topic modeling with optimal transportAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Weijie Xu Xiaoyu Jiang Srinivasan H. Sengamedu Francis Iannacci Jinjin Zhao OT BDL 258 26 0 03 Jul 2023
Variational Disentangled Graph Auto-Encoders for Link Prediction Jun Fu Xiaojuan Zhang Shuang Li Dali Chen CML DRL 150 6 0 20 Jun 2023
Vacant Holes for Unsupervised Detection of the Outliers in Compact Latent RepresentationConference on Uncertainty in Artificial Intelligence (UAI), 2023 Misha Glazunov Apostolis Zarras AAML DRL 131 2 0 16 Jun 2023
Waffling around for Performance: Visual Classification with Random Words and Broad ConceptsIEEE International Conference on Computer Vision (ICCV), 2023 Karsten Roth Jae Myung Kim A. Sophia Koepke Oriol Vinyals Cordelia Schmid Zeynep Akata VLM 231 106 0 12 Jun 2023
Coupled Variational AutoencoderInternational Conference on Machine Learning (ICML), 2023 Xiaoran Hao Patrick Shafto BDL DRL 189 3 0 05 Jun 2023
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better PracticesWeb Search and Data Mining (WSDM), 2023 Jing Zhu Yuhang Zhou V. Ioannidis Sheng Qian Wei Ai Xiang Song Danai Koutra 237 18 0 01 Jun 2023
Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae Shenyuan Liang Pavan Turaga Anuj Srivastava 224 0 0 17 May 2023
A Simplified Framework for Contrastive Learning for Node RepresentationsAsilomar Conference on Signals, Systems and Computers (ACSSC), 2023 Ilgee Hong Huy Tran Claire Donnat SSL 186 3 0 01 May 2023
Energy-Based Sliced Wasserstein DistanceNeural Information Processing Systems (NeurIPS), 2023 Khai Nguyen Nhat Ho OT 3DPC 280 35 0 26 Apr 2023
Hyperbolic Geometry in Computer Vision: A Survey Pengfei Fang Mehrtash Harandi Trung Le Dinh Q. Phung 140 6 0 21 Apr 2023
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image RepresentationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Y. Zhu Jianwen Xie Ping Li MedIm 160 4 0 16 Apr 2023
Manifold Learning by Mixture Models of VAEs for Inverse ProblemsJournal of machine learning research (JMLR), 2023 Giovanni S. Alberti J. Hertrich Matteo Santacesaria Silvia Sciutto DRL 346 11 0 27 Mar 2023
CoCon: A Data Set on Combined Contextualized Research Artifact UseACM/IEEE Joint Conference on Digital Libraries (JCDL), 2023 T. Saier Youxiang Dong Michael Färber 109 1 0 27 Mar 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 171 1 0 24 Mar 2023
Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation Zizhao Hu Mohammad Rostami DRL 131 2 0 22 Mar 2023
Modeling Barrett's Esophagus Progression using Geometric Variational Autoencoders Vivien van Veldhuizen Sharvaree P. Vadgama Onno J. de Boer Sybren Meijer Erik Bekkers DRL 256 0 0 17 Mar 2023
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous InputsInternational Conference on Machine Learning (ICML), 2023 Michael Kirchhof Enkelejda Kasneci Seong Joon Oh UQCV 1.2K 32 0 06 Feb 2023
Simplifying Subgraph Representation Learning for Scalable Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari 255 13 0 29 Jan 2023
Contracting Skeletal Kinematics for Human-Related Video Anomaly DetectionPattern Recognition (Pattern Recogn.), 2023 Alessandro Flaborea Guido DÁmely S. DÁrrigo Marco Aurelio Sterpa Alessio Sampieri Fabio Galasso 336 25 0 23 Jan 2023
Simplex Autoencoders Aymene Mohammed Bouayed D. Naccache SyDa 168 0 0 16 Jan 2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud ReconstructionInternational Conference on Machine Learning (ICML), 2023 Khai Nguyen Dang Nguyen N. Ho 142 9 0 12 Jan 2023
Markovian Sliced Wasserstein Distances: Beyond Independent ProjectionsNeural Information Processing Systems (NeurIPS), 2023 Khai Nguyen Zhaolin Ren Nhat Ho OT GAN 279 9 0 10 Jan 2023
Hyperspherical Quantization: Toward Smaller and More Accurate ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Dan Liu X. Chen Chen Ma Xue Liu MQ 161 4 0 24 Dec 2022
Hyperspherical Loss-Aware Ternary Quantization Dan Liu Xue Liu MQ 141 0 0 24 Dec 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey Amirhossein Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz Ilker Hacihaliloglu Dorit Merhof DiffM MedIm 458 556 0 14 Nov 2022
Relating graph auto-encoders to linear models Solveig Klepper U. V. Luxburg 99 2 0 03 Nov 2022
Improving Variational Autoencoders with Density Gap-based RegularizationNeural Information Processing Systems (NeurIPS), 2022 Jianfei Zhang Jun Bai Chenghua Lin Yanmeng Wang Wenge Rong DRL 160 9 0 01 Nov 2022
Linkless Link Prediction via Relational DistillationInternational Conference on Machine Learning (ICML), 2022 Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh Chawla Neil Shah Tong Zhao 302 53 0 11 Oct 2022
Application of Deep Learning on Single-Cell RNA-sequencing Data Analysis: A ReviewGenomics, Proteomics & Bioinformatics (GPB), 2022 M. Brendel Chang Su Zilong Bai Hao Zhang O. Elemento Haiwei Yang 210 53 0 11 Oct 2022
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance Chen Henry Wu Fernando de la Torre DiffM 338 79 0 11 Oct 2022
Continual Learning by Modeling Intra-Class Variation L. Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller Weiyang Liu CLL 159 17 0 11 Oct 2022
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing EnsemblesInternational Conference on Learning Representations (ICLR), 2022 Martin Bjerke Lukas Schott Kristopher T. Jensen Claudia Battistin David A. Klindt Benjamin A. Dunn 182 10 0 06 Oct 2022
Hyperbolic VAE via Latent Gaussian DistributionsNeural Information Processing Systems (NeurIPS), 2022 Seunghyuk Cho Juyong Lee Dongwoo Kim DRL 344 12 0 30 Sep 2022
A Geometric Perspective on Variational AutoencodersNeural Information Processing Systems (NeurIPS), 2022 Clément Chadebec S. Allassonnière DRL 193 29 0 15 Sep 2022
Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders Stefan C. Schonsheck Scott Mahan T. Klock A. Cloninger Rongjie Lai DRL 153 7 0 22 Aug 2022
Self-supervised learning with rotation-invariant kernelsInternational Conference on Learning Representations (ICLR), 2022 Léon Zheng Gilles Puy E. Riccietti Patrick Pérez Rémi Gribonval SSL 263 4 0 28 Jul 2022
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric LearningEuropean Conference on Computer Vision (ECCV), 2022 Michael Kirchhof Karsten Roth Zeynep Akata Enkelejda Kasneci 268 18 0 08 Jul 2022
Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks Haileleol Tibebu Aadin Malik V. D. Silva GAN 221 10 0 06 Jul 2022
Debiasing Learning for Membership Inference Attacks Against Recommender SystemsKnowledge Discovery and Data Mining (KDD), 2022 Zihan Wang Na Huang Fei Sun Sudipta Singha Roy Zhumin Chen Hengliang Luo Maarten de Rijke Zhaochun Ren AAML 198 27 0 24 Jun 2022
Few-Shot Non-Parametric Learning with Deep Latent Variable ModelNeural Information Processing Systems (NeurIPS), 2022 Zhiying Jiang Yi-Zhu Dai Ji Xin Ming Li Jimmy J. Lin 177 5 0 23 Jun 2022
Revisiting lp-constrained Softmax Loss: A Comprehensive Study C. Trivedi Konstantinos Makantasis Antonios Liapis Georgios N. Yannakakis 83 1 0 20 Jun 2022
Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction Yangyi Hu Xiyuan Wang Zhouchen Lin Pan Li Muhan Zhang 99 8 0 20 Jun 2022
Spherical Sliced-WassersteinInternational Conference on Learning Representations (ICLR), 2022 Clément Bonet P. Berg Nicolas Courty Françcois Septier Lucas Drumetz Minh Pham 265 34 0 17 Jun 2022
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use CaseNeural Information Processing Systems (NeurIPS), 2022 Clément Chadebec Louis J. Vincent S. Allassonnière DRL 182 37 0 16 Jun 2022
GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension ReductionsJournal of Computational Physics (JCP), 2022 Ryan Lopez P. Atzberger AI4CE 339 9 0 10 Jun 2022
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein DistancesInternational Conference on Machine Learning (ICML), 2022 Ruben Ohana Kimia Nadjahi A. Rakotomamonjy L. Ralaivola 200 7 0 07 Jun 2022
Hyperspherical Consistency RegularizationComputer Vision and Pattern Recognition (CVPR), 2022 Cheng Tan Zhangyang Gao Lirong Wu Siyuan Li Stan Z. Li 166 27 0 02 Jun 2022
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic QuantizationInternational Conference on Machine Learning (ICML), 2022 Yuhta Takida Takashi Shibuya Wei-Hsiang Liao Chieh-Hsin Lai Junki Ohmura Toshimitsu Uesaka Naoki Murata Shusuke Takahashi Toshiyuki Kumakura Yuki Mitsufuji BDL 201 88 0 16 May 2022
Randomized geometric tools for anomaly detection in stock marketsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Cyril Bachelard Apostolos Chalkis Vissarion Fisikopoulos Elias P. Tsigaridas 144 3 0 08 May 2022