One-Shot Generalization in Deep Generative Models

16 March 2016

Danilo Jimenez Rezende

Ivo Danihelka

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

37 / 37 papers shown

Title
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 57 0 0 28 Jan 2025
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 38 1 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 29 0 0 10 Jun 2024
AGI for Agriculture Guoyu Lu Sheng R. Li Gengchen Mai Jin Sun Dajiang Zhu ... R. Xu Daniel Petti Changying Li Tianming Liu Changying Li AI4CE 42 17 0 12 Apr 2023
Computing with Categories in Machine Learning Eli Sennesh T. Xu Yoshihiro Maruyama 18 2 0 07 Mar 2023
Few-Shot Learning for Biometric Verification S. Ahmed Umaid M. Zaffar M. Aslam M. I. Malik 13 0 0 12 Nov 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 26 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 15 7 0 03 Jun 2022
Modeling Image Composition for Complex Scene Generation Zuopeng Yang Daqing Liu Chaoyue Wang J. Yang Dacheng Tao ViT 34 50 0 02 Jun 2022
Few-Shot Diffusion Models Giorgio Giannone Didrik Nielsen Ole Winther DiffM 183 49 0 30 May 2022
Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation Chengwei Qin Shafiq R. Joty BDL CLL 11 33 0 04 Mar 2022
Few-shot Learning for Topic Modeling Tomoharu Iwata BDL 22 6 0 19 Apr 2021
Deep Automodulators Ari Heljakka Yuxin Hou Juho Kannala Arno Solin 20 5 0 21 Dec 2019
Generative One-Shot Face Recognition Zhengming Ding Yandong Guo Lei Zhang Y. Fu VLM GAN CVBM 17 10 0 28 Sep 2019
Few-Shot Learning with Global Class Representations Tiange Luo Aoxue Li Tao Xiang Weiran Huang Liwei Wang 16 114 0 14 Aug 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video Miguel Jaques Michael G. Burke Timothy M. Hospedales VGen PINN 18 44 0 27 May 2019
Few-Shot Adaptive Gaze Estimation Seonwook Park Shalini De Mello Pavlo Molchanov Umar Iqbal Otmar Hilliges Jan Kautz 22 193 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 14 429 0 17 Jan 2019
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 20 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 22 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 11 124 0 11 May 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 30 1,303 0 12 Mar 2018
Evolutionary Architecture Search For Deep Multitask Networks J. Liang Elliot Meyerson Risto Miikkulainen 17 120 0 10 Mar 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 22 2,773 0 22 Jan 2018
Rapid Adaptation with Conditionally Shifted Neurons Tsendsuren Munkhdalai Xingdi Yuan Soroush Mehri Adam Trischler 19 13 0 28 Dec 2017
Building machines that adapt and compute like brains Brenden 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 36 88 0 27 Oct 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference Dustin Tran Rajesh Ranganath David M. Blei VLM GAN 22 100 0 28 Feb 2017
Deep Probabilistic Programming Dustin Tran Matthew D. Hoffman Rif A. Saurous E. Brevdo Kevin Patrick Murphy David M. Blei BDL 28 193 0 13 Jan 2017
An Architecture for Deep, Hierarchical Generative Models Philip Bachman AI4CE BDL 20 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 28 618 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 H. S. Torr Andrea Vedaldi 16 468 0 16 Jun 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D. Kulkarni Karthik Narasimhan A. Saeedi J. Tenenbaum 13 1,125 0 20 Apr 2016