HyperNetworks

27 September 2016

Papers citing "HyperNetworks"

50 / 339 papers shown

Title
DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations Ruben Tolosana Paula Delgado-Santos A. Pérez-Uribe R. Vera-Rodríguez Julian Fierrez Aythami Morales 38 38 0 14 Sep 2020
QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning Jian Hu Seth Austin Harding Haibin Wu Siyue Hu Shih-Wei Liao 29 9 0 09 Sep 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 25 73 0 07 Aug 2020
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 68 101 0 24 Jul 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild Yang Xiao Vincent Lepetit Renaud Marlet 3DPC 46 314 0 23 Jul 2020
WeightNet: Revisiting the Design Space of Weight Networks Ningning Ma Xinming Zhang Jiawei Huang Jian Sun 16 106 0 23 Jul 2020
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 215 330 0 22 Jul 2020
Hybrid Models for Learning to Branch Prateek Gupta Maxime Gasse Elias Boutros Khalil M. P. Kumar Andrea Lodi Yoshua Bengio GNN 22 123 0 26 Jun 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification F. Wenzel Jasper Snoek Dustin Tran Rodolphe Jenatton UQCV 33 204 0 24 Jun 2020
QTRAN++: Improved Value Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Sungsoo Ahn Roben Delos Reyes Jinwoo Shin Yung Yi OffRL 28 2 0 22 Jun 2020
Efficient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning Oscar de Lima Hansal Shah Ting-Sheng Chu Brian Fogelson 32 11 0 18 Jun 2020
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Gregory Farquhar Bei Peng Shimon Whiteson 30 345 0 18 Jun 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 47 2,486 0 17 Jun 2020
Gaussian Gated Linear Networks David Budden Adam H. Marblestone Eren Sezener Tor Lattimore Greg Wayne J. Veness BDL AI4CE 24 12 0 10 Jun 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Xiaojiang Chen Xin Wang AI4CE 48 653 0 01 Jun 2020
Automatic low-bit hybrid quantization of neural networks through meta learning Tao Wang Junsong Wang Chang Xu Chao Xue MQ 16 2 0 24 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 64 1,935 0 11 Apr 2020
Orthogonal Over-Parameterized Training Weiyang Liu Rongmei Lin Zhen Liu James M. Rehg Liam Paull Li Xiong Le Song Adrian Weller 32 41 0 09 Apr 2020
CPPN2GAN: Combining Compositional Pattern Producing Networks and GANs for Large-scale Pattern Generation Jacob Schrum Vanessa Volz S. Risi GAN 19 31 0 03 Apr 2020
Domain Balancing: Face Recognition on Long-Tailed Domains Dong Cao Xiangyu Zhu Xingyu Huang Jianzhu Guo Zhen Lei CVBM 23 69 0 30 Mar 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 67 771 0 19 Mar 2020
Energy-Based Processes for Exchangeable Data Mengjiao Yang Bo Dai H. Dai Dale Schuurmans 22 12 0 17 Mar 2020
PAC-Bayes meta-learning with implicit task-specific posteriors Cuong C. Nguyen Thanh-Toan Do G. Carneiro BDL 39 7 0 05 Mar 2020
Meta-learning Extractors for Music Source Separation David Samuel Aditya Ganeshan Jason Naradowsky 27 60 0 17 Feb 2020
Hypernetwork approach to generating point clouds Przemysław Spurek Sebastian Winczowski Jacek Tabor M. Zamorski Maciej Ziȩba Tomasz Trzciñski 3DPC 42 34 0 10 Feb 2020
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights Theofanis Karaletsos T. Bui BDL 20 23 0 10 Feb 2020
Deep HyperNetwork-Based MIMO Detection Mathieu Goutay Fayçal Ait Aoudia J. Hoydis 34 54 0 07 Feb 2020
Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters Hesham Mostafa FedML 28 39 0 30 Dec 2019
Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection Guangxiang Zhao Junyang Lin Zhiyuan Zhang Xuancheng Ren Qi Su Xu Sun 22 108 0 25 Dec 2019
AutoScale: Learning to Scale for Crowd Counting and Localization Chenfeng Xu Dingkang Liang Yongchao Xu S. Bai Wei Zhan X. Bai Masayoshi Tomizuka 27 105 0 20 Dec 2019
Learning Depth-Guided Convolutions for Monocular 3D Object Detection Mingyu Ding Yuqi Huo Hongwei Yi Zhe Wang Jianping Shi Zhiwu Lu Ping Luo 3DPC 51 311 0 10 Dec 2019
Electric Analog Circuit Design with Hypernetworks and a Differential Simulator Michael Rotman Lior Wolf 18 10 0 08 Nov 2019
Few-shot Video-to-Video Synthesis Ting-Chun Wang Ming-Yu Liu Andrew Tao Guilin Liu Jan Kautz Bryan Catanzaro DiffM VGen 51 367 0 28 Oct 2019
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis Xihui Liu Guojun Yin Jing Shao Xiaogang Wang Hongsheng Li 34 205 0 15 Oct 2019
Stochastic Conditional Generative Networks with Basis Decomposition Ze Wang Xiuyuan Cheng Guillermo Sapiro Qiang Qiu GAN 21 18 0 25 Sep 2019
Unconstrained Monotonic Neural Networks Antoine Wehenkel Gilles Louppe TPM 31 146 0 14 Aug 2019
Progressive Transfer Learning Zhengxu Yu Long Wei Zhongming Jin Jianqiang Huang Deng Cai Xiansheng Hua VLM 24 10 0 07 Aug 2019
Subspace Inference for Bayesian Deep Learning Pavel Izmailov Wesley J. Maddox Polina Kirichenko T. Garipov Dmitry Vetrov A. Wilson UQCV BDL 38 142 0 17 Jul 2019
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search Yuhui Xu Lingxi Xie Xiaopeng Zhang Xin Chen Guo-Jun Qi Qi Tian H. Xiong 39 603 0 12 Jul 2019
Boosting Few-Shot Visual Learning with Self-Supervision Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 22 400 0 12 Jun 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations Vincent Sitzmann Michael Zollhoefer Gordon Wetzstein 3DPC 3DV 77 1,266 0 04 Jun 2019
Adaptive Deep Kernel Learning Prudencio Tossou Basile Dura François Laviolette M. Marchand Alexandre Lacoste 27 29 0 28 May 2019
3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization Tsun-Hsuan Wang Hou-Ning Hu Chieh Hubert Lin Yi-Hsuan Tsai Wei-Chen Chiu Min Sun 3DV 24 36 0 05 Apr 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions M. Mackay Paul Vicol Jonathan Lorraine David Duvenaud Roger C. Grosse 27 164 0 07 Mar 2019
Hypernetwork functional image representation Sylwester Klocek Lukasz Maziarka Maciej Wołczyk Jacek Tabor Jakub Nowak Marek Śmieja SupR 3DH 21 90 0 27 Feb 2019
Towards Using Context-Dependent Symbols in CTC Without State-Tying Decision Trees J. Chorowski A. Lancucki Bartosz Kostka Michal Zapotoczny 14 5 0 14 Jan 2019
Stroke-based sketched symbol reconstruction and segmentation Kurmanbek Kaiyrbekov M. Sezgin 19 19 0 10 Jan 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context Zihang Dai Zhilin Yang Yiming Yang J. Carbonell Quoc V. Le Ruslan Salakhutdinov VLM 38 3,674 0 09 Jan 2019
Agent Embeddings: A Latent Representation for Pole-Balancing Networks Oscar Chang Robert Kwiatkowski Siyuan Chen Hod Lipson 24 6 0 12 Nov 2018
Graph HyperNetworks for Neural Architecture Search Chris Zhang Mengye Ren R. Urtasun GNN 19 273 0 12 Oct 2018