One-Shot Generalization in Deep Generative Models

16 March 2016

Danilo Jimenez Rezende

Ivo Danihelka

Papers citing "One-Shot Generalization in Deep Generative Models"

50 / 50 papers shown

Title
GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy So Kuroki Jiaxian Guo T. Matsushima Takuya Okubo Masato Kobayashi Yuya Ikeda Ryosuke Takanami Paul D. Yoo Yutaka Matsuo Yusuke Iwasawa AI4CE 40 1 0 28 Jan 2025
GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy So Kuroki Jiaxian Guo T. Matsushima Takuya Okubo Masato Kobayashi Yuya Ikeda Ryosuke Takanami Paul D. Yoo Yutaka Matsuo Yusuke Iwasawa 62 0 0 28 Jan 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 37 0 0 10 Jun 2024
AGI for Agriculture Guoyu Lu Sheng Li Gengchen Mai Jin Sun Dajiang Zhu ... R. Xu Daniel Petti Changying Li Tianming Liu Changying Li AI4CE 48 17 0 12 Apr 2023
Computing with Categories in Machine Learning Eli Sennesh T. Xu Yoshihiro Maruyama 28 2 0 07 Mar 2023
Few-Shot Learning for Biometric Verification S. Ahmed Umaid M. Zaffar M. Aslam M. I. Malik 26 0 0 12 Nov 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 38 3 0 03 Aug 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 23 7 0 03 Jun 2022
Modeling Image Composition for Complex Scene Generation Zuopeng Yang Daqing Liu Chaoyue Wang J. Yang Dacheng Tao ViT 36 50 0 02 Jun 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 186 49 0 30 May 2022
Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches A. Bhunia Viswanatha Reddy Gajjala Subhadeep Koley Rohit Kundu Aneeshan Sain Tao Xiang Yi-Zhe Song CLL 25 30 0 28 Mar 2022
Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation Chengwei Qin Chenyu You BDL CLL 18 33 0 04 Mar 2022
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples Yuying Ge Ruimao Zhang Ping Luo 20 7 0 06 Dec 2021
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation Dong Min Dong Bok Lee Eunho Yang Sung Ju Hwang 25 160 0 06 Jun 2021
Few-shot Learning for Topic Modeling Tomoharu Iwata BDL 27 6 0 19 Apr 2021
Few-shot Learning for Spatial Regression Tomoharu Iwata Yusuke Tanaka 30 11 0 09 Oct 2020
Task Augmentation by Rotating for Meta-Learning Jialin Liu Rongrong Ji Chih-Min Lin 67 33 0 08 Feb 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 32 387 0 23 Jan 2020
Deep Automodulators Ari Heljakka Wenshuai Zhao Arno Solin Arno Solin 31 5 0 21 Dec 2019
Generative One-Shot Face Recognition Zhengming Ding Yandong Guo Lei Zhang Y. Fu VLM GAN CVBM 27 10 0 28 Sep 2019
Few-Shot Learning with Global Class Representations Tiange Luo Aoxue Li Tao Xiang Weiran Huang Liwei Wang 21 114 0 14 Aug 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data Yehui Tang Shan You Chang Xu Boxin Shi Chao Xu 24 11 0 13 Jul 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video Miguel Jaques Michael G. Burke Timothy M. Hospedales VGen PINN 21 45 0 27 May 2019
Few-Shot Adaptive Gaze Estimation Seonwook Park Shalini De Mello Pavlo Molchanov Umar Iqbal Otmar Hilliges Jan Kautz 33 193 0 06 May 2019
Attentive Neural Processes Hyunjik Kim A. Mnih Jonathan Richard Schwarz M. Garnelo S. M. Ali Eslami Dan Rosenbaum Oriol Vinyals Yee Whye Teh 54 429 0 17 Jan 2019
Generative One-Shot Learning (GOL): A Semi-Parametric Approach to One-Shot Learning in Autonomous Vision Sorin Grigorescu GAN VLM 12 12 0 19 Dec 2018
Semi-crowdsourced Clustering with Deep Generative Models Yucen Luo Tian Tian Jiaxin Shi Jun Zhu Bo Zhang 14 18 0 29 Oct 2018
Sample Efficient Adaptive Text-to-Speech Yutian Chen Yannis Assael Brendan Shillingford David Budden Scott E. Reed ... Ben Laurie Çağlar Gülçehre Aaron van den Oord Oriol Vinyals Nando de Freitas 35 149 0 27 Sep 2018
The Variational Homoencoder: Learning to learn high capacity generative models from few examples Luke B. Hewitt Maxwell Nye Andreea Gane Tommi Jaakkola J. Tenenbaum BDL DRL GAN 31 68 0 24 Jul 2018
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 138 305 0 11 Jun 2018
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning Kelvin Xu Ellis Ratner Anca Dragan Sergey Levine Chelsea Finn 27 66 0 31 May 2018
Piecewise classifier mappings: Learning fine-grained learners for novel categories with few examples Xiu-Shen Wei Peng Wang Lingqiao Liu Chunhua Shen Jianxin Wu 27 124 0 11 May 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 17 522 0 18 Apr 2018
The Kanerva Machine: A Generative Distributed Memory Yan Wu Greg Wayne Alex Graves Timothy Lillicrap VLM SyDa 30 38 0 05 Apr 2018
Synthesizing Programs for Images using Reinforced Adversarial Learning Yaroslav Ganin Tejas D. Kulkarni Igor Babuschkin A. Eslami Oriol Vinyals GAN 12 229 0 03 Apr 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 45 1,304 0 12 Mar 2018
Evolutionary Architecture Search For Deep Multitask Networks J. Liang Elliot Meyerson Risto Miikkulainen 39 120 0 10 Mar 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 78 2,777 0 22 Jan 2018
Rapid Adaptation with Conditionally Shifted Neurons Tsendsuren Munkhdalai Xingdi Yuan Soroush Mehri Adam Trischler 21 13 0 28 Dec 2017
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 65 1,066 0 12 Nov 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions Scott E. Reed Yutian Chen T. Paine Aaron van den Oord S. M. Ali Eslami Danilo Jimenez Rezende Oriol Vinyals Nando de Freitas 41 88 0 27 Oct 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference Dustin Tran Rajesh Ranganath David M. Blei VLM GAN 30 100 0 28 Feb 2017
Deep Probabilistic Programming Dustin Tran Matthew D. Hoffman Rif A. Saurous E. Brevdo Kevin Patrick Murphy David M. Blei BDL 36 193 0 13 Jan 2017
An Architecture for Deep, Hierarchical Generative Models Philip Bachman AI4CE BDL 33 53 0 08 Dec 2016
Learning What and Where to Draw Scott E. Reed Zeynep Akata S. Mohan Samuel Tenka Bernt Schiele Honglak Lee DRL GAN 30 618 0 08 Oct 2016
Unsupervised Learning of 3D Structure from Images Danilo Jimenez Rezende S. M. Ali Eslami S. Mohamed Peter W. Battaglia Max Jaderberg N. Heess 3DV SSL DRL 17 395 0 03 Jul 2016
Learning feed-forward one-shot learners Luca Bertinetto João F. Henriques Jack Valmadre Philip Torr Andrea Vedaldi 18 469 0 16 Jun 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik R. Narasimhan A. Saeedi J. Tenenbaum 25 1,127 0 20 Apr 2016