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1904.03758
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Meta-Learning with Differentiable Convex Optimization
7 April 2019
Kwonjoon Lee
Subhransu Maji
Avinash Ravichandran
Stefano Soatto
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Papers citing
"Meta-Learning with Differentiable Convex Optimization"
50 / 336 papers shown
Title
Will Multi-modal Data Improves Few-shot Learning?
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Yichun Zhang
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0
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Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings
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Xuesong Yang
Meihao Kong
Lei Wang
Jing Huo
Yang Gao
Jiebo Luo
55
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22 Jul 2021
Neural Fixed-Point Acceleration for Convex Optimization
Shobha Venkataraman
Brandon Amos
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21 Jul 2021
Boosting Few-Shot Classification with View-Learnable Contrastive Learning
Xu Luo
Yuxuan Chen
Liangjiang Wen
Lili Pan
Zenglin Xu
VLM
SSL
107
25
0
20 Jul 2021
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
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
Qing Chen
Jian Zhang
82
5
0
15 Jul 2021
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
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
J. Luis
E. Crawley
B. Cameron
OffRL
77
6
0
07 Jul 2021
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
Hayeon Lee
Eunyoung Hyung
Sung Ju Hwang
95
43
0
02 Jul 2021
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
Han-Jia Ye
Lu Ming
De-Chuan Zhan
Wei-Lun Chao
99
53
0
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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
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
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
Fan Liu
Shuyu Zhao
Xuelong Dai
Bin Xiao
VLM
85
8
0
22 Jun 2021
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
Fangbing Liu
Qing Wang
36
0
0
17 Jun 2021
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
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
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
Rui Lu
Gao Huang
S. Du
83
29
0
15 Jun 2021
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
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
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
97
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0
09 Jun 2021
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
Inyong Koo
Minki Jeong
Changick Kim
WSOL
SSL
43
1
0
25 May 2021
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
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How Fine-Tuning Allows for Effective Meta-Learning
Kurtland Chua
Qi Lei
Jason D. Lee
95
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0
05 May 2021
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
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
Mike Huisman
Aske Plaat
Jan N. van Rijn
60
7
0
21 Apr 2021
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
Sébastien M. R. Arnold
Fei Sha
VLM
95
7
0
15 Apr 2021
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
Su Lu
Han-Jia Ye
De-Chuan Zhan
88
18
0
08 Apr 2021
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
Han-Jia Ye
De-Chuan Zhan
Wei-Lun Chao
65
31
0
05 Apr 2021
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
Gongjie Zhang
Kaiwen Cui
Tzu-Yi Hung
Shijian Lu
63
115
0
28 Mar 2021
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
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
Jun-Hyun Bae
Inchul Choi
Minho Lee
OOD
61
11
0
24 Mar 2021
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
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
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
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
Spencer M. Richards
Navid Azizan
Jean-Jacques E. Slotine
Marco Pavone
86
73
0
07 Mar 2021
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