Meta-learning with differentiable closed-form solvers

21 May 2018

João F. Henriques

Andrea Vedaldi

Papers citing "Meta-learning with differentiable closed-form solvers"

50 / 196 papers shown

Title
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming Parvin Nazari Ahmad Mousavi Davoud Ataee Tarzanagh George Michailidis 41 4 0 08 Nov 2022
Schedule-Robust Online Continual Learning Ruohan Wang Marco Ciccone Giulia Luise A. Yapp Massimiliano Pontil C. Ciliberto CLL 37 4 0 11 Oct 2022
Fast Hierarchical Learning for Few-Shot Object Detection Yihang She Goutam Bhat Martin Danelljan Feng Yu ObjD 29 1 0 10 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps Kuilin Chen Chi-Guhn Lee SSL 40 3 0 07 Oct 2022
On Stability and Generalization of Bilevel Optimization Problem Meng Ding Ming Lei Yunwen Lei Di Wang Jinhui Xu 32 1 0 03 Oct 2022
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning Xiu-Shen Wei Hesheng Xu Faen Zhang Yuxin Peng Wei Zhou 35 14 0 28 Sep 2022
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases James Harrison Luke Metz Jascha Narain Sohl-Dickstein 49 22 0 22 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Yuqing Hu S. Pateux Vincent Gripon 35 15 0 18 Sep 2022
Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification Tianyi Lei Honghui Hu Qiaoyang Luo Dezhong Peng Xu Wang 20 12 0 10 Sep 2022
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition M. Han Yibing Zhan Yong Luo Bo Du Han Hu Yonggang Wen Dacheng Tao 19 6 0 07 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning Ying-Cong Chen J. Hsieh Ming-Ching Chang 24 0 0 03 Sep 2022
Constrained Few-Shot Learning: Human-Like Low Sample Complexity Learning and Non-Episodic Text Classification Jaron Mar Jiamou Liu 35 1 0 17 Aug 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen Ma Zixuan Liu Xue Liu 98 35 0 24 Jul 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning Tao Zhang Wu Huang 24 13 0 24 Jul 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Tianran Ouyang Shengcai Liao Bo Du Ling Shao 40 3 0 14 Jul 2022
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods Davoud Ataee Tarzanagh Parvin Nazari Bojian Hou Li Shen Laura Balzano 49 10 0 06 Jul 2022
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks Shuoguang Yang Xuezhou Zhang Mengdi Wang 40 42 0 22 Jun 2022
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem Ruichen Jiang Nazanin Abolfazli Aryan Mokhtari Erfan Yazdandoost Hamedani 43 21 0 17 Jun 2022
Self-Adaptive Label Augmentation for Semi-supervised Few-shot Classification Xueliang Wang Jianyu Cai Shuiwang Ji Houqiang Li Feng Wu Jie Wang 16 0 0 16 Jun 2022
Rethinking Generalization in Few-Shot Classification Markus Hiller Rongkai Ma Mehrtash Harandi Tom Drummond OCL VLM 32 55 0 15 Jun 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation Markus Hiller Mehrtash Harandi Tom Drummond AI4CE 36 8 0 15 Jun 2022
Faster Optimization-Based Meta-Learning Adaptation Phase K. Khabarlak 19 1 0 13 Jun 2022
Diagnosing Ensemble Few-Shot Classifiers Weikai Yang Xi Ye Xingxing Zhang Lanxi Xiao Jiazhi Xia Zhongyuan Wang Jun Zhu Hanspeter Pfister Shixia Liu 38 16 0 09 Jun 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile Dong Chen Lingfei Wu Siliang Tang Xiao Yun Bo Long Yueting Zhuang VLM NoLa 31 9 0 04 Jun 2022
Will Bilevel Optimizers Benefit from Loops Kaiyi Ji Mingrui Liu Yingbin Liang Lei Ying 45 41 0 27 May 2022
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling Etienne Bennequin Myriam Tami Antoine Toubhans C´eline Hudelot VLM 21 4 0 10 May 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization Davoud Ataee Tarzanagh Mingchen Li Christos Thrampoulidis Samet Oymak FedML 44 73 0 04 May 2022
Flamingo: a Visual Language Model for Few-Shot Learning Jean-Baptiste Alayrac Jeff Donahue Pauline Luc Antoine Miech Iain Barr ... Mikolaj Binkowski Ricardo Barreira Oriol Vinyals Andrew Zisserman Karen Simonyan MLLM VLM 51 3,360 0 29 Apr 2022
It's DONE: Direct ONE-shot learning with quantile weight imprinting Kazufumi Hosoda Keigo Nishida S. Seno Tomohiro Mashita H. Kashioka I. Ohzawa 24 2 0 28 Apr 2022
Control-oriented meta-learning Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 37 24 0 14 Apr 2022
Few-shot Learning with Noisy Labels Kevin J Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 30 47 0 12 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling R. Tao Han Zhang Yutong Zheng Marios Savvides 38 20 0 07 Apr 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 37 59 0 29 Mar 2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation Jiaqi Yang Qi Lei Jason D. Lee S. Du 43 16 0 29 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 35 32 0 25 Mar 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning Haoxiang Wang Yite Wang Ruoyu Sun Bo-wen Li 33 27 0 17 Mar 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning Yang He Weihan Liang Dongyang Zhao Hong-Yu Zhou Weifeng Ge Yizhou Yu Wenqiang Zhang ViT 37 45 0 17 Mar 2022
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding Mohamed Afham Isuru Dissanayake Dinithi Dissanayake Amaya Dharmasiri Kanchana Thilakarathna Ranga Rodrigo 3DPC 16 252 0 01 Mar 2022
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets Tal Shnitzer Mikhail Yurochkin Kristjan Greenewald Justin Solomon 41 6 0 03 Feb 2022
Smoothed Embeddings for Certified Few-Shot Learning Mikhail Aleksandrovich Pautov Olesya Kuznetsova Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets 47 5 0 02 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 78 43 0 01 Feb 2022
A Survey on Visual Transfer Learning using Knowledge Graphs Sebastian Monka Lavdim Halilaj Achim Rettinger 33 23 0 27 Jan 2022
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation Wendi Li Xiao Yang Weiqing Liu Yingce Xia Jiang Bian DiffM AI4TS 28 51 0 11 Jan 2022
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 43 21 0 15 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma Pengfei Fang Tom Drummond Mehrtash Harandi 21 45 0 03 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 46 30 0 01 Dec 2021
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy Junying Huang Fan Chen Keze Wang Liang Lin Dongyu Zhang 31 8 0 08 Nov 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning Fengyuan Yang Ruiping Wang Xilin Chen VLM 39 35 0 08 Nov 2021
Self-Denoising Neural Networks for Few Shot Learning S. Schwarcz Sai Saketh Rambhatla Ramalingam Chellappa 28 1 0 26 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 36 11 0 14 Oct 2021