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1606.00128
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Self-Paced Learning: an Implicit Regularization Perspective
AAAI Conference on Artificial Intelligence (AAAI), 2016
1 June 2016
Yanbo Fan
Ran He
Jian Liang
Bao-Gang Hu
Re-assign community
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Papers citing
"Self-Paced Learning: an Implicit Regularization Perspective"
26 / 26 papers shown
Prototype-Guided Curriculum Learning for Zero-Shot Learning
Lei Wang
Shiming Chen
Guo-Sen Xie
Ziming Hong
Chaojian Yu
Qinmu Peng
Xinge You
VLM
138
1
0
11 Aug 2025
Adaptively Point-weighting Curriculum Learning
Wensheng Li
Hao Wang
Ruifeng Zhou
Hanting Guan
Chao Zhang
Dacheng Tao
Dacheng Tao
ODL
369
2
0
03 May 2025
Self-Paced Learning Strategy with Easy Sample Prior Based on Confidence for the Flying Bird Object Detection Model Training
Signal, Image and Video Processing (SIVP), 2024
Zi-Wei Sun
Ze-Xi Hua
Heng-Chao Li
Yan Li
313
1
0
09 Dec 2024
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks
Atefe Hassani
I. Rekik
FedML
327
1
0
29 Jul 2024
CBM: Curriculum by Masking
Andrei Jarca
Florinel-Alin Croitoru
Radu Tudor Ionescu
318
5
0
06 Jul 2024
Is Data Valuation Learnable and Interpretable?
Ou Wu
Weiyao Zhu
Mengyang Li
TDI
371
2
0
03 Jun 2024
Data Optimization in Deep Learning: A Survey
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Ou Wu
Rujing Yao
378
8
0
25 Oct 2023
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Skyler Seto
B. Theobald
Federico Danieli
Navdeep Jaitly
Dan Busbridge
TTA
OOD
329
10
0
07 Sep 2023
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction
Knowledge Discovery and Data Mining (KDD), 2023
Zhangchi Zhu
Lu Wang
Lu Wang
Chao Du
Wei Zhang
Hang Dong
Bo Qiao
Qingwei Lin
Saravan Rajmohan
Dongmei Zhang
NoLa
OnRL
257
19
0
01 Aug 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
Ramnath Kumar
Kushal Majmundar
Dheeraj M. Nagaraj
A. Suggala
ODL
486
8
0
15 Jun 2023
Unsupervised Face Morphing Attack Detection via Self-paced Anomaly Detection
Meiling Fang
Fadi Boutros
Naser Damer
CVBM
184
20
0
11 Aug 2022
Learning Rate Curriculum
International Journal of Computer Vision (IJCV), 2022
Florinel-Alin Croitoru
Nicolae-Cătălin Ristea
Radu Tudor Ionescu
Andrii Zadaianchuk
299
31
0
18 May 2022
Differentiated Relevances Embedding for Group-based Referring Expression Comprehension
Fuhai Chen
Xuri Ge
Xiaoshuai Sun
Yue Gao
Jianzhuang Liu
Feiyue Huang
Rongrong Ji
217
0
0
12 Mar 2022
Which Samples Should be Learned First: Easy or Hard?
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Xiaoling Zhou
Ou Wu
302
24
0
11 Oct 2021
Robust Physical-World Attacks on Face Recognition
Xin-Yang Zheng
Yanbo Fan
Baoyuan Wu
Yong Zhang
Jue Wang
Shirui Pan
AAML
CVBM
285
63
0
20 Sep 2021
Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement
Computer Vision and Pattern Recognition (CVPR), 2021
Guang Yu
Siqi Wang
Zhiping Cai
Xinwang Liu
Chuanfu Xu
Cheng-Feng Wu
452
49
0
04 Aug 2021
Source Data-Free Cross-Domain Semantic Segmentation: Align, Teach and Propagate
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yuxi Wang
Jian Liang
Zhaoxiang Zhang
458
18
0
22 Jun 2021
Training With Data Dependent Dynamic Learning Rates
Shreyas Saxena
Nidhi Vyas
D. DeCoste
ODL
146
2
0
27 May 2021
Learning Deep Neural Networks under Agnostic Corrupted Supervision
International Conference on Machine Learning (ICML), 2021
Boyang Liu
Mengying Sun
Ding Wang
P. Tan
Jiayu Zhou
238
7
0
12 Feb 2021
Curriculum Learning: A Survey
International Journal of Computer Vision (IJCV), 2021
Petru Soviany
Radu Tudor Ionescu
Paolo Rota
Andrii Zadaianchuk
ODL
711
528
0
25 Jan 2021
A Survey on Curriculum Learning
Xin Eric Wang
Yudong Chen
Wenwu Zhu
SyDa
422
24
0
25 Oct 2020
Abstract Reasoning with Distracting Features
Neural Information Processing Systems (NeurIPS), 2019
Kecheng Zheng
Zhengjun Zha
Wei Wei
214
80
0
02 Dec 2019
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers
International Joint Conference on Artificial Intelligence (IJCAI), 2018
Xuchao Zhang
Bo Pan
Zhiqian Chen
Chang-Tien Lu
170
3
0
06 Jul 2018
Understanding Self-Paced Learning under Concave Conjugacy Theory
Shiqi Liu
Zilu Ma
Deyu Meng
271
9
0
21 May 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
Lu Jiang
Zhengyuan Zhou
Thomas Leung
Li Li
Li Fei-Fei
NoLa
704
1,644
0
14 Dec 2017
Learning with Average Top-k Loss
Yanbo Fan
Siwei Lyu
Yiming Ying
Bao-Gang Hu
DML
309
115
0
24 May 2017
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