HyperNetworks

27 September 2016

Papers citing "HyperNetworks"

50 / 286 papers shown

Title
Involution: Inverting the Inherence of Convolution for Visual Recognition Duo Li Jie Hu Changhu Wang Xiangtai Li Qi She Lei Zhu Tong Zhang Qifeng Chen BDL 17 304 0 10 Mar 2021
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation Stylianos I. Venieris Javier Fernandez-Marques Nicholas D. Lane 22 11 0 09 Mar 2021
Posterior Meta-Replay for Continual Learning Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 51 54 0 01 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 103 27,682 0 26 Feb 2021
Linear Transformers Are Secretly Fast Weight Programmers Imanol Schlag Kazuki Irie Jürgen Schmidhuber 29 224 0 22 Feb 2021
LambdaNetworks: Modeling Long-Range Interactions Without Attention Irwan Bello 269 179 0 17 Feb 2021
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations Winnie Xu Ricky T. Q. Chen Xuechen Li D. Duvenaud BDL UQCV 21 46 0 12 Feb 2021
Phase Retrieval using Expectation Consistent Signal Recovery Algorithm based on Hypernetwork Chang-Jen Wang Chao-Kai Wen Shang-Ho S. Tsai Shi Jin Geoffrey Ye Li 19 5 0 12 Jan 2021
HyperMorph: Amortized Hyperparameter Learning for Image Registration Andrew Hoopes Malte Hoffmann Bruce Fischl John Guttag Adrian V. Dalca 32 128 0 04 Jan 2021
Learning to Generate Task-Specific Adapters from Task Description Qinyuan Ye Xiang Ren 109 29 0 02 Jan 2021
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 51 56 0 29 Dec 2020
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 119 95 0 10 Dec 2020
Meta-Generating Deep Attentive Metric for Few-shot Classification Lei Zhang Fei Zhou Wei Wei Yanning Zhang VLM 39 28 0 03 Dec 2020
Connecting Context-specific Adaptation in Humans to Meta-learning Rachit Dubey Erin Grant Michael Luo Karthik Narasimhan Thomas L. Griffiths 19 4 0 27 Nov 2020
MicroNet: Towards Image Recognition with Extremely Low FLOPs Yunsheng Li Yinpeng Chen Xiyang Dai Dongdong Chen Mengchen Liu Lu Yuan Zicheng Liu Lei Zhang Nuno Vasconcelos 30 25 0 24 Nov 2020
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians Juhan Bae Roger C. Grosse 24 24 0 26 Oct 2020
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence Hao Huang Lingjing Wang Xiang Li Yi Fang 3DPC 23 0 0 21 Oct 2020
RODE: Learning Roles to Decompose Multi-Agent Tasks Tonghan Wang Tarun Gupta Anuj Mahajan Bei Peng Shimon Whiteson Chongjie Zhang OffRL 22 202 0 04 Oct 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 16 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 37 314 0 23 Jul 2020
WeightNet: Revisiting the Design Space of Weight Networks Ningning Ma X. Zhang Jiawei Huang Jian-jun Sun 16 106 0 23 Jul 2020
Hybrid Models for Learning to Branch Prateek Gupta Maxime Gasse Elias Boutros Khalil M. P. Kumar Andrea Lodi Yoshua Bengio GNN 20 122 0 26 Jun 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification F. Wenzel Jasper Snoek Dustin Tran Rodolphe Jenatton UQCV 30 203 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 21 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 21 345 0 18 Jun 2020
Gaussian Gated Linear Networks David Budden Adam H. Marblestone Eren Sezener Tor Lattimore Greg Wayne J. Veness BDL AI4CE 19 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 8 2 0 24 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 40 1,927 0 11 Apr 2020
Domain Balancing: Face Recognition on Long-Tailed Domains Dong Cao Xiangyu Zhu Xingyu Huang Jianzhu Guo Zhen Lei CVBM 21 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 47 768 0 19 Mar 2020
Energy-Based Processes for Exchangeable Data Mengjiao Yang Bo Dai H. Dai Dale Schuurmans 17 12 0 17 Mar 2020
PAC-Bayes meta-learning with implicit task-specific posteriors Cuong C. Nguyen Thanh-Toan Do G. Carneiro BDL 31 7 0 05 Mar 2020
Meta-learning Extractors for Music Source Separation David Samuel Aditya Ganeshan Jason Naradowsky 21 60 0 17 Feb 2020
Hypernetwork approach to generating point clouds P. Spurek Sebastian Winczowski Jacek Tabor M. Zamorski Maciej Ziȩba Tomasz Trzciñski 3DPC 37 34 0 10 Feb 2020
Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters Hesham Mostafa FedML 20 39 0 30 Dec 2019
AutoScale: Learning to Scale for Crowd Counting and Localization Chenfeng Xu Dingkang Liang Yongchao Xu S. Bai Wei Zhan X. Bai M. Tomizuka 24 105 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 34 311 0 10 Dec 2019
Few-shot Video-to-Video Synthesis Ting-Chun Wang Ming-Yu Liu Andrew Tao Guilin Liu Jan Kautz Bryan Catanzaro DiffM VGen 33 367 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 34 204 0 15 Oct 2019
Stochastic Conditional Generative Networks with Basis Decomposition Ze Wang Xiuyuan Cheng Guillermo Sapiro Qiang Qiu GAN 16 18 0 25 Sep 2019
Progressive Transfer Learning Zhengxu Yu Long Wei Zhongming Jin Jianqiang Huang Deng Cai Xiansheng Hua VLM 21 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 30 142 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 22 603 0 12 Jul 2019
Boosting Few-Shot Visual Learning with Self-Supervision Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 17 400 0 12 Jun 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations Vincent Sitzmann Michael Zollhoefer Gordon Wetzstein 3DPC 3DV 62 1,264 0 04 Jun 2019
Adaptive Deep Kernel Learning Prudencio Tossou Basile Dura François Laviolette M. Marchand Alexandre Lacoste 21 29 0 28 May 2019