Pareto Self-Supervised Training for Few-Shot Learning

16 April 2021

Siteng Huang

Papers citing "Pareto Self-Supervised Training for Few-Shot Learning"

33 / 33 papers shown

Title
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts Jinluan Yang Zhengyu Chen Teng Xiao Wenqiao Zhang Yong Lin Kun Kuang 70 2 0 18 Aug 2024
Efficient Continuous Pareto Exploration in Multi-Task Learning Pingchuan Ma Tao Du Wojciech Matusik 25 88 0 29 Jun 2020
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling Xu Yan Chaoda Zheng Zhuguo Li Sheng Wang Shuguang Cui 3DPC 66 548 0 01 Mar 2020
Pareto Multi-Task Learning Xi Lin Hui-Ling Zhen Zhenhua Li Qingfu Zhang Sam Kwong 44 346 0 30 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 83 11,959 0 13 Nov 2019
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 60 169 0 08 Oct 2019
Boosting Few-Shot Visual Learning with Self-Supervision Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 67 402 0 12 Jun 2019
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training Avinash Ravichandran Rahul Bhotika Stefano Soatto 50 169 0 10 May 2019
S4L: Self-Supervised Semi-Supervised Learning Xiaohua Zhai Avital Oliver Alexander Kolesnikov Lucas Beyer SSL VLM 70 790 0 09 May 2019
Meta-Learning with Differentiable Convex Optimization Kwonjoon Lee Subhransu Maji Avinash Ravichandran Stefano Soatto 70 1,266 0 07 Apr 2019
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 26 196 0 27 Mar 2019
Domain Generalization by Solving Jigsaw Puzzles Fabio Maria Carlucci A. DÍnnocente S. Bucci Barbara Caputo Tatiana Tommasi SSL 54 810 0 16 Mar 2019
Revisiting Self-Supervised Visual Representation Learning Alexander Kolesnikov Xiaohua Zhai Lucas Beyer SSL 113 716 0 25 Jan 2019
Multi-Task Learning as Multi-Objective Optimization Ozan Sener V. Koltun 92 1,266 0 10 Oct 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 82 1,310 0 23 May 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 64 924 0 21 May 2018
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 30 1,125 0 25 Apr 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 179 499 0 24 Apr 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 176 3,272 0 21 Mar 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 178 4,035 0 16 Nov 2017
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 147 1,235 0 10 Nov 2017
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 74 4,584 0 26 Oct 2017
Few-Shot Image Recognition by Predicting Parameters from Activations Siyuan Qiao Chenxi Liu Wei Shen Alan Yuille VLM 47 553 0 12 Jun 2017
Unsupervised Learning by Predicting Noise Piotr Bojanowski Armand Joulin OOD SSL 35 295 0 18 Apr 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 179 8,072 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 742 11,793 0 09 Mar 2017
Meta Networks Tsendsuren Munkhdalai Hong-ye Yu GNN AI4CE 71 1,064 0 02 Mar 2017
Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints Daniel Hernández-Lobato Daniel Hernández-Lobato 40 113 0 05 Sep 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 259 7,286 0 13 Jun 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 29 5,277 0 25 Apr 2016
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 128 2,777 0 19 May 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 903 39,383 0 01 Sep 2014
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks Alexey Dosovitskiy Philipp Fischer Jost Tobias Springenberg Martin Riedmiller Thomas Brox OOD SSL 47 1,018 0 26 Jun 2014