The Variational Homoencoder: Learning to learn high capacity generative models from few examples

24 July 2018

Papers citing "The Variational Homoencoder: Learning to learn high capacity generative models from few examples"

46 / 46 papers shown

Title
Foundation Inference Models for Stochastic Differential Equations: A Transformer-based Approach for Zero-shot Function Estimation Patrick Seifner K. Cvejoski David Berghaus C. Ojeda Ramses J. Sanchez DiffM 48 1 0 26 Feb 2025
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks Victor Boutin Rishav Mukherji Aditya Agrawal Sabine Muzellec Thomas Fel Thomas Serre Rufin VanRullen DiffM 29 0 0 10 Jun 2024
Learning to Infer Generative Template Programs for Visual Concepts R. K. Jones S. Chaudhuri Daniel E. Ritchie NAI BDL 30 2 0 20 Mar 2024
Towards Generative Abstract Reasoning: Completing Raven's Progressive Matrix via Rule Abstraction and Selection Fan Shi Bin Li Xiangyang Xue ReLM LRM 31 1 0 18 Jan 2024
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds Marcel Hirt Domenico Campolo Victoria Leong Juan-Pablo Ortega DRL 8 0 0 01 Sep 2023
Human-machine knowledge hybrid augmentation method for surface defect detection based few-data learning Yuanshi Gonga Xiaoqiao Wanga Chichun Zhou 29 5 0 27 Apr 2023
Computing with Categories in Machine Learning Eli Sennesh T. Xu Yoshihiro Maruyama 23 2 0 07 Mar 2023
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard E. Turner L. Yao BDL 73 24 0 01 Sep 2022
Character Generation through Self-Supervised Vectorization Gokcen Gokceoglu Emre Akbas 25 0 0 03 Aug 2022
Drawing out of Distribution with Neuro-Symbolic Generative Models Yi-Chuan Liang J. Tenenbaum T. Le N. Siddharth 20 7 0 03 Jun 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 183 49 0 30 May 2022
A Probabilistic Generative Model of Free Categories Eli Sennesh T. Xu Y. Maruyama 16 0 0 09 May 2022
Consolidated learning -- a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV Katarzyna Wo'znica Mateusz Grzyb Zuzanna Trafas P. Biecek 65 2 0 27 Jan 2022
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation Giorgio Giannone Fattane Pourakpour DRL BDL 22 10 0 23 Oct 2021
Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation Xiaofeng Liu Site Li Yubin Ge Pengyi Ye J. You Jun Lu 48 18 0 28 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 24 1 0 05 Jul 2021
Meta-learning for Matrix Factorization without Shared Rows or Columns Tomoharu Iwata 16 1 0 29 Jun 2021
OR-Net: Pointwise Relational Inference for Data Completion under Partial Observation Qianyu Feng Linchao Zhu Bang Zhang Pan Pan Yi Yang 14 0 0 02 May 2021
Few-shot Learning for Topic Modeling Tomoharu Iwata BDL 22 6 0 19 Apr 2021
Neural ODE Processes Alexander Norcliffe Cristian Bodnar Ben Day Jacob Moss Pietro Lió BDL AI4TS 22 63 0 23 Mar 2021
Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection Tomoharu Iwata Atsutoshi Kumagai 14 2 0 01 Mar 2021
Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation Davis Wertheimer Omid Poursaeed B. Hariharan 14 9 0 25 Nov 2020
Unsupervised One-shot Learning of Both Specific Instances and Generalised Classes with a Hippocampal Architecture Gideon Kowadlo Abdelrahman Ahmed D. Rawlinson 11 4 0 30 Oct 2020
Meta-Active Learning for Node Response Prediction in Graphs Tomoharu Iwata 8 0 0 12 Oct 2020
Few-shot Learning for Spatial Regression Tomoharu Iwata Yusuke Tanaka 9 11 0 09 Oct 2020
A Simple Framework for Uncertainty in Contrastive Learning Mike Wu Noah D. Goodman UQCV 16 18 0 05 Oct 2020
Few-shot Learning for Time-series Forecasting Tomoharu Iwata Atsutoshi Kumagai AI4TS 11 18 0 30 Sep 2020
Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models Minyoung Kim Vladimir Pavlovic CML DRL 11 4 0 07 Sep 2020
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings Alexander Wang Mengye Ren R. Zemel SSL 6 22 0 27 Aug 2020
Adaptive Risk Minimization: Learning to Adapt to Domain Shift Marvin Zhang Henrik Marklund Nikita Dhawan Abhishek Gupta Sergey Levine Chelsea Finn OOD 11 197 0 06 Jul 2020
Learning Task-General Representations with Generative Neuro-Symbolic Modeling Reuben Feinman Brenden Lake GAN 19 19 0 25 Jun 2020
Towards explainable meta-learning Katarzyna Wo'znica P. Biecek 14 4 0 11 Feb 2020
Experience-Embedded Visual Foresight Yen-Chen Lin Maria Bauzá Phillip Isola 22 35 0 12 Nov 2019
AHA! an Ártificial Hippocampal Algorithm' for Episodic Machine Learning Gideon Kowadlo Abdelrahman Ahmed D. Rawlinson 14 11 0 23 Sep 2019
A Meta-Learning Framework for Generalized Zero-Shot Learning Vinay K. Verma Dhanajit Brahma Piyush Rai BDL DiffM VLM 27 19 0 10 Sep 2019
Recurrent Neural Processes Timon Willi Jonathan Masci Jürgen Schmidhuber Christian Osendorfer BDL 8 18 0 13 Jun 2019
Dataset2Vec: Learning Dataset Meta-Features H. Jomaa Lars Schmidt-Thieme Josif Grabocka SSL 9 61 0 27 May 2019
A Novel BiLevel Paradigm for Image-to-Image Translation Liqian Ma Qianru Sun Bernt Schiele Luc Van Gool 12 5 0 18 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 24 1,794 0 10 Apr 2019
Meta-Learning surrogate models for sequential decision making Alexandre Galashov Jonathan Richard Schwarz Hyunjik Kim M. Garnelo D. Saxton Pushmeet Kohli S. M. Ali Eslami Yee Whye Teh BDL OffRL 17 26 0 28 Mar 2019
The Omniglot challenge: a 3-year progress report Brenden Lake Ruslan Salakhutdinov J. Tenenbaum VLM 11 133 0 09 Feb 2019
Meta-Amortized Variational Inference and Learning Mike Wu Kristy Choi Noah D. Goodman Stefano Ermon OOD VLM BDL DRL 32 35 0 05 Feb 2019
Attentive Neural Processes Hyunjik Kim A. Mnih Jonathan Richard Schwarz M. Garnelo S. M. Ali Eslami Dan Rosenbaum Oriol Vinyals Yee Whye Teh 18 429 0 17 Jan 2019
Neural Processes M. Garnelo Jonathan Richard Schwarz Dan Rosenbaum Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami Yee Whye Teh BDL UQCV GP 10 504 0 04 Jul 2018
Conditional Neural Processes M. Garnelo Dan Rosenbaum Chris J. Maddison Tiago Ramalho D. Saxton Murray Shanahan Yee Whye Teh Danilo Jimenez Rezende S. M. Ali Eslami UQCV BDL 13 677 0 04 Jul 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017