Multimodal Generative Models for Scalable Weakly-Supervised Learning

14 February 2018

Papers citing "Multimodal Generative Models for Scalable Weakly-Supervised Learning"

50 / 176 papers shown

Title
Foundation Posteriors for Approximate Probabilistic Inference Mike Wu Noah D. Goodman UQCV 25 6 0 19 May 2022
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models S. Triest Matthew Sivaprakasam Sean J. Wang Wenshan Wang Aaron M. Johnson Sebastian Scherer 29 55 0 03 May 2022
Learning Sequential Latent Variable Models from Multimodal Time Series Data Oliver Limoyo Trevor Ablett Jonathan Kelly 25 5 0 21 Apr 2022
Mixture-of-experts VAEs can disregard variation in surjective multimodal data Jannik Wolff T. Klein Moin Nabi Rahul G. Krishnan Shinichi Nakajima MoE 9 1 0 11 Apr 2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders Roman Bachmann David Mizrahi Andrei Atanov Amir Zamir 49 266 0 04 Apr 2022
Representation Uncertainty in Self-Supervised Learning as Variational Inference Hiroki Nakamura Masashi Okada T. Taniguchi 25 18 0 22 Mar 2022
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies Shachi Deshpande Kaiwen Wang Dhruv Sreenivas Zheng Li Volodymyr Kuleshov CML SyDa 21 11 0 18 Mar 2022
Medical Image Segmentation on MRI Images with Missing Modalities: A Review Reza Azad Nika Khosravi Mohammad Dehghanmanshadi Julien Cohen-Adad Dorit Merhof 32 38 0 11 Mar 2022
MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication Kaiqi Chen J. Fong Harold Soh 27 10 0 06 Mar 2022
Geometric Multimodal Contrastive Representation Learning Petra Poklukar Miguel Vasco Hang Yin Francisco S. Melo Ana Paiva Danica Kragic 35 46 0 07 Feb 2022
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery N. Trask Carianne Martinez Kookjin Lee Brad L. Boyce DRL AI4CE 8 7 0 07 Feb 2022
Multimodal Adversarially Learned Inference with Factorized Discriminators Wenxue Chen Jianke Zhu 54 3 0 20 Dec 2021
Multimodal Conditional Image Synthesis with Product-of-Experts GANs Xun Huang Arun Mallya Ting-Chun Wang Xuan Li DiffM 29 90 0 09 Dec 2021
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification Junwen Bai Shufeng Kong Carla P. Gomes SSL DRL 35 36 0 02 Dec 2021
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series Daniel Kramer P. Bommer Carlo Tombolini G. Koppe Daniel Durstewitz BDL AI4TS AI4CE 27 19 0 04 Nov 2021
Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Structural Patterns in Alzheimer Disease Sayantan Kumar Philip R. O. Payne Aristeidis Sotiras MedIm 20 3 0 10 Oct 2021
Discriminative Multimodal Learning via Conditional Priors in Generative Models R. A. Mancisidor Michael C. Kampffmeyer K. Aas Robert Jenssen GAN 30 5 0 09 Oct 2021
On the Limitations of Multimodal VAEs Imant Daunhawer Thomas M. Sutter Kieran Chin-Cheong Emanuele Palumbo Julia E. Vogt 44 27 0 08 Oct 2021
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents Miguel Vasco Hang Yin Francisco S. Melo Ana Paiva 34 7 0 07 Oct 2021
Communication-Efficient Federated Linear and Deep Generalized Canonical Correlation Analysis Sagar Shrestha Xiao Fu FedML 33 0 0 25 Sep 2021
Modeling Item Response Theory with Stochastic Variational Inference Mike Wu R. Davis B. Domingue Chris Piech Noah D. Goodman CML 33 5 0 26 Aug 2021
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning Paul Pu Liang Yiwei Lyu Xiang Fan Zetian Wu Yun Cheng ... Peter Wu Michelle A. Lee Yuke Zhu Ruslan Salakhutdinov Louis-Philippe Morency VLM 37 159 0 15 Jul 2021
FairyTailor: A Multimodal Generative Framework for Storytelling Eden Bensaid Mauro Martino Benjamin Hoover Hendrik Strobelt LRM 31 18 0 13 Jul 2021
Learn from Anywhere: Rethinking Generalized Zero-Shot Learning with Limited Supervision Gaurav Bhatt Shivam Chandhok V. Balasubramanian 24 1 0 11 Jul 2021
Lifelong Mixture of Variational Autoencoders Fei Ye A. Bors DRL 24 27 0 09 Jul 2021
Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement Learning Kaiqi Chen Yong Lee Harold Soh SSL 33 20 0 06 Jul 2021
Learning Multimodal VAEs through Mutual Supervision Thomas Joy Yuge Shi Philip Torr Tom Rainforth Sebastian M. Schmon N. Siddharth SSL 42 20 0 23 Jun 2021
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering Jie Xu Yazhou Ren Huayi Tang X. Pu Xiaofeng Zhu Ming Zeng Lifang He DRL 28 106 0 21 Jun 2021
Imitation and Mirror Systems in Robots through Deep Modality Blending Networks M. Yunus Seker Alper Ahmetoglu Y. Nagai Minoru Asada Erhan Öztop E. Ugur 21 20 0 15 Jun 2021
Generalized Multimodal ELBO Thomas M. Sutter Imant Daunhawer Julia E. Vogt 24 89 0 06 May 2021
Fast Multi-Step Critiquing for VAE-based Recommender Systems Diego Antognini Boi Faltings LRM 70 16 0 03 May 2021
Recommending Burgers based on Pizza Preferences: Addressing Data Sparsity with a Product of Experts Martin Milenkoski Diego Antognini C. Musat 14 0 0 26 Apr 2021
SMIL: Multimodal Learning with Severely Missing Modality Mengmeng Ma Jian Ren Long Zhao Sergey Tulyakov Cathy H. Wu Xi Peng 59 239 0 09 Mar 2021
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data Yu Gong Hossein Hajimirsadeghi Jiawei He Thibaut Durand Greg Mori CML 33 11 0 25 Feb 2021
Composable Generative Models Johan Leduc Nicolas Grislain SyDa 41 4 0 18 Feb 2021
A Variational Information Bottleneck Approach to Multi-Omics Data Integration Changhee Lee M. Schaar DRL 20 74 0 05 Feb 2021
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts S. Kutuzova Oswin Krause D. McCloskey Mads Nielsen Christian Igel 10 17 0 18 Jan 2021
Learning Intuitive Physics with Multimodal Generative Models S. Rezaei-Shoshtari F. Hogan M. Jenkin David Meger Gregory Dudek 139 9 0 12 Jan 2021
Private-Shared Disentangled Multimodal VAE for Learning of Hybrid Latent Representations Mihee Lee Vladimir Pavlovic DRL 16 12 0 23 Dec 2020
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders Siddharth Biswal S. Ghosh J. Duke B. Malin Walter F. Stewart Jimeng Sun SyDa BDL DRL 53 40 0 18 Dec 2020
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization Long Zhao Yuxiao Wang Jiaping Zhao Liangzhe Yuan Jennifer J. Sun Florian Schroff Hartwig Adam Xi Peng Dimitris N. Metaxas Ting Liu SSL 27 30 0 02 Dec 2020
BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis Weijie He Xiaohao Mao Chao Ma Yu Huang José Miguel Hernández-Lobato Ting Chen 21 12 0 02 Dec 2020
Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach Minyoung Kim Ricardo Guerrero Vladimir Pavlovic CoGe CML 12 1 0 01 Dec 2020
Detect, Reject, Correct: Crossmodal Compensation of Corrupted Sensors Michelle A. Lee Matthew Tan Yuke Zhu Jeannette Bohg 49 25 0 01 Dec 2020
Multimodal dynamics modeling for off-road autonomous vehicles J. Tremblay Travis Manderson Aurélio Noca Gregory Dudek David Meger 26 16 0 23 Nov 2020
A Simple Framework for Uncertainty in Contrastive Learning Mike Wu Noah D. Goodman UQCV 31 18 0 05 Oct 2020
Learning more expressive joint distributions in multimodal variational methods S. Nedelkoski Mihail Bogojeski O. Kao 13 1 0 08 Sep 2020
Audio- and Gaze-driven Facial Animation of Codec Avatars Alexander Richard Colin S. Lea Shugao Ma Juergen Gall Fernando de la Torre Yaser Sheikh CVBM 21 81 0 11 Aug 2020
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective Ruixiang Zhang Masanori Koyama Katsuhiko Ishiguro CML 14 6 0 21 Jul 2020
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation Manqing Dong Feng Yuan Lina Yao Xiwei Xu Liming Zhu CLL 20 164 0 07 Jul 2020