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Meta-Learning with Differentiable Convex Optimization
v1v2 (latest)

Meta-Learning with Differentiable Convex Optimization

7 April 2019
Kwonjoon Lee
Subhransu Maji
Avinash Ravichandran
Stefano Soatto
ArXiv (abs)PDFHTMLGithub (536★)

Papers citing "Meta-Learning with Differentiable Convex Optimization"

50 / 336 papers shown
Title
Will Multi-modal Data Improves Few-shot Learning?
Will Multi-modal Data Improves Few-shot Learning?
Zilun Zhang
Shihao Ma
Yichun Zhang
34
2
0
25 Jul 2021
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings
Wenbin Li
Xuesong Yang
Meihao Kong
Lei Wang
Jing Huo
Yang Gao
Jiebo Luo
55
0
0
22 Jul 2021
Neural Fixed-Point Acceleration for Convex Optimization
Neural Fixed-Point Acceleration for Convex Optimization
Shobha Venkataraman
Brandon Amos
92
14
0
21 Jul 2021
Boosting Few-Shot Classification with View-Learnable Contrastive
  Learning
Boosting Few-Shot Classification with View-Learnable Contrastive Learning
Xu Luo
Yuxuan Chen
Liangjiang Wen
Lili Pan
Zenglin Xu
VLMSSL
107
25
0
20 Jul 2021
Property-Aware Relation Networks for Few-Shot Molecular Property
  Prediction
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Yaqing Wang
Abulikemu Abuduweili
Quanming Yao
Dejing Dou
93
70
0
16 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Xu Luo
Longhui Wei
Liangjiang Wen
Jinrong Yang
Lingxi Xie
Zenglin Xu
Qi Tian
121
89
0
16 Jul 2021
Multi-Level Contrastive Learning for Few-Shot Problems
Multi-Level Contrastive Learning for Few-Shot Problems
Qing Chen
Jian Zhang
82
5
0
15 Jul 2021
FLEX: Unifying Evaluation for Few-Shot NLP
FLEX: Unifying Evaluation for Few-Shot NLP
Jonathan Bragg
Arman Cohan
Kyle Lo
Iz Beltagy
272
108
0
15 Jul 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation
Few-shot Learning with Global Relatedness Decoupled-Distillation
Yuanen Zhou
Yanrong Guo
Shijie Hao
Richang Hong
Zhen junzha
Meng Wang
123
1
0
12 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
77
6
0
07 Jul 2021
Finding Significant Features for Few-Shot Learning using Dimensionality
  Reduction
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction
M. Mendez-Ruiz
Jorge Gonzalez-Zapata
Gilberto Ochoa-Ruiz
Andres Mendez-Vazquez
68
1
0
06 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from
  Datasets
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee
Eunyoung Hyung
Sung Ju Hwang
95
43
0
02 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters
Cross-domain Few-shot Learning with Task-specific Adapters
Weihong Li
Xialei Liu
Hakan Bilen
OOD
104
118
0
01 Jul 2021
Few-Shot Learning with a Strong Teacher
Few-Shot Learning with a Strong Teacher
Han-Jia Ye
Lu Ming
De-Chuan Zhan
Wei-Lun Chao
99
53
0
01 Jul 2021
MAML is a Noisy Contrastive Learner in Classification
MAML is a Noisy Contrastive Learner in Classification
Chia-Hsiang Kao
Wei-Chen Chiu
Pin-Yu Chen
37
17
0
29 Jun 2021
Representation based meta-learning for few-shot spoken intent
  recognition
Representation based meta-learning for few-shot spoken intent recognition
Ashish R. Mittal
Samarth Bharadwaj
Shreya Khare
Saneem A. Chemmengath
Karthik Sankaranarayanan
Brian Kingsbury
62
12
0
29 Jun 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and
  Partial Modality Absent Few-Shot Learning
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning
Yi Zhang
Sheng Huang
Xiao-song Peng
Dan Yang
74
9
0
28 Jun 2021
Long-term Cross Adversarial Training: A Robust Meta-learning Method for
  Few-shot Classification Tasks
Long-term Cross Adversarial Training: A Robust Meta-learning Method for Few-shot Classification Tasks
Fan Liu
Shuyu Zhao
Xuelong Dai
Bin Xiao
VLM
85
8
0
22 Jun 2021
Task Attended Meta-Learning for Few-Shot Learning
Task Attended Meta-Learning for Few-Shot Learning
Aroof Aimen
Sahil Sidheekh
N. C. Krishnan
31
4
0
20 Jun 2021
Episode Adaptive Embedding Networks for Few-shot Learning
Episode Adaptive Embedding Networks for Few-shot Learning
Fangbing Liu
Qing Wang
36
0
0
17 Jun 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient
  Training and Effective Adaptation
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation
Haoxiang Wang
Han Zhao
Yue Liu
112
90
0
16 Jun 2021
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via
  Meta-Learning
HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning
Hayeon Lee
Sewoong Lee
Song Chong
Sung Ju Hwang
79
26
0
16 Jun 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive
  Few-shot Learning
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning
Chaofan CHEN
Xiaoshan Yang
Changsheng Xu
Xuhui Huang
Zhe Ma
79
50
0
16 Jun 2021
On the Power of Multitask Representation Learning in Linear MDP
On the Power of Multitask Representation Learning in Linear MDP
Rui Lu
Gao Huang
S. Du
83
29
0
15 Jun 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with
  Unlabeled Data
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
Ashraful Islam
Chun-Fu Chen
Yikang Shen
Leonid Karlinsky
Rogerio Feris
Richard J. Radke
133
85
0
14 Jun 2021
Learning to Affiliate: Mutual Centralized Learning for Few-shot
  Classification
Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification
Yang Liu
Weifeng Zhang
Chao Xiang
Tu Zheng
Deng Cai
Xiaofei He
FedML
123
48
0
10 Jun 2021
Tensor feature hallucination for few-shot learning
Tensor feature hallucination for few-shot learning
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
97
23
0
09 Jun 2021
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled
  Images
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
Wentao Chen
Chenyang Si
Wei Wang
Liang Wang
Zilei Wang
Tieniu Tan
SSL
51
10
0
25 May 2021
Improving Few-shot Learning with Weakly-supervised Object Localization
Improving Few-shot Learning with Weakly-supervised Object Localization
Inyong Koo
Minki Jeong
Changick Kim
WSOLSSL
43
1
0
25 May 2021
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer
  Programming Constraints
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
Anselm Paulus
Michal Rolínek
Vít Musil
Brandon Amos
Georg Martius
92
62
0
05 May 2021
How Fine-Tuning Allows for Effective Meta-Learning
How Fine-Tuning Allows for Effective Meta-Learning
Kurtland Chua
Qi Lei
Jason D. Lee
95
50
0
05 May 2021
Subspace Representation Learning for Few-shot Image Classification
Subspace Representation Learning for Few-shot Image Classification
Ting-Yao Hu
Zhi-Qi Cheng
Alexander G. Hauptmann
79
5
0
02 May 2021
Rich Semantics Improve Few-shot Learning
Rich Semantics Improve Few-shot Learning
Mohamed Afham
Salman Khan
Muhammad Haris Khan
Muzammal Naseer
Fahad Shahbaz Khan
VLM
108
24
0
26 Apr 2021
Stateless Neural Meta-Learning using Second-Order Gradients
Stateless Neural Meta-Learning using Second-Order Gradients
Mike Huisman
Aske Plaat
Jan N. van Rijn
60
7
0
21 Apr 2021
Pareto Self-Supervised Training for Few-Shot Learning
Pareto Self-Supervised Training for Few-Shot Learning
Zhengyu Chen
Jixie Ge
Heshen Zhan
Siteng Huang
Donglin Wang
91
119
0
16 Apr 2021
Embedding Adaptation is Still Needed for Few-Shot Learning
Embedding Adaptation is Still Needed for Few-Shot Learning
Sébastien M. R. Arnold
Fei Sha
VLM
95
7
0
15 Apr 2021
Reinforced Attention for Few-Shot Learning and Beyond
Reinforced Attention for Few-Shot Learning and Beyond
Jie Hong
Pengfei Fang
Weihao Li
Tong Zhang
Christian Simon
Mehrtash Harandi
L. Petersson
65
51
0
09 Apr 2021
Few-Shot Action Recognition with Compromised Metric via Optimal
  Transport
Few-Shot Action Recognition with Compromised Metric via Optimal Transport
Su Lu
Han-Jia Ye
De-Chuan Zhan
88
18
0
08 Apr 2021
Streaming Self-Training via Domain-Agnostic Unlabeled Images
Streaming Self-Training via Domain-Agnostic Unlabeled Images
Zhiqiu Lin
Deva Ramanan
Aayush Bansal
LRM
70
5
0
07 Apr 2021
Procrustean Training for Imbalanced Deep Learning
Procrustean Training for Imbalanced Deep Learning
Han-Jia Ye
De-Chuan Zhan
Wei-Lun Chao
65
31
0
05 Apr 2021
Revisiting Local Descriptor for Improved Few-Shot Classification
Revisiting Local Descriptor for Improved Few-Shot Classification
J. He
Richang Hong
Xueliang Liu
Mingliang Xu
Qianru Sun
84
28
0
30 Mar 2021
Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect
  Inspection
Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection
Gongjie Zhang
Kaiwen Cui
Tzu-Yi Hung
Shijian Lu
63
115
0
28 Mar 2021
Few-shot Weakly-Supervised Object Detection via Directional Statistics
Few-shot Weakly-Supervised Object Detection via Directional Statistics
Amirreza Shaban
Amir M. Rahimi
Thalaiyasingam Ajanthan
Byron Boots
Leonid Sigal
WSOD
44
5
0
25 Mar 2021
Learning Dynamic Alignment via Meta-filter for Few-shot Learning
Learning Dynamic Alignment via Meta-filter for Few-shot Learning
C. Xu
Chen Liu
Li Zhang
Chengjie Wang
Jilin Li
Feiyue Huang
Xiangyang Xue
Yanwei Fu
97
105
0
25 Mar 2021
Meta-Learned Invariant Risk Minimization
Meta-Learned Invariant Risk Minimization
Jun-Hyun Bae
Inchul Choi
Minho Lee
OOD
61
11
0
24 Mar 2021
Multi-level Metric Learning for Few-shot Image Recognition
Multi-level Metric Learning for Few-shot Image Recognition
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
70
21
0
21 Mar 2021
Real-Time Visual Object Tracking via Few-Shot Learning
Real-Time Visual Object Tracking via Few-Shot Learning
Jinghao Zhou
Yue Liu
Peng Wang
Peixia Li
Weihao Gan
Wei Wu
Junjie Yan
Wanli Ouyang
62
5
0
18 Mar 2021
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor
  Neural Network
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network
Yang Liu
Tu Zheng
Mingli Song
Deng Cai
Xiaofei He
117
26
0
15 Mar 2021
Multi-Pretext Attention Network for Few-shot Learning with
  Self-supervision
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision
Hainan Li
Renshuai Tao
Jun Li
Haotong Qin
Yifu Ding
Shuo Wang
Xianglong Liu
SSL
64
8
0
10 Mar 2021
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems
Spencer M. Richards
Navid Azizan
Jean-Jacques E. Slotine
Marco Pavone
86
73
0
07 Mar 2021
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