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Harnessing Hard Mixed Samples with Decoupled Regularizer

Harnessing Hard Mixed Samples with Decoupled Regularizer

21 March 2022
Zicheng Liu
Siyuan Li
Ge Wang
Cheng Tan
Lirong Wu
Stan Z. Li
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Papers citing "Harnessing Hard Mixed Samples with Decoupled Regularizer"

18 / 18 papers shown
Title
SUMix: Mixup with Semantic and Uncertain Information
SUMix: Mixup with Semantic and Uncertain Information
Huafeng Qin
Xin Jin
Hongyu Zhu
Hongchao Liao
M. El-Yacoubi
Xinbo Gao
UQCV
18
5
0
10 Jul 2024
Acoustic Feature Mixup for Balanced Multi-aspect Pronunciation
  Assessment
Acoustic Feature Mixup for Balanced Multi-aspect Pronunciation Assessment
Heejin Do
Wonjun Lee
Gary Geunbae Lee
19
0
0
22 Jun 2024
Short-Long Convolutions Help Hardware-Efficient Linear Attention to
  Focus on Long Sequences
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences
Zicheng Liu
Siyuan Li
Li Wang
Zedong Wang
Yunfan Liu
Stan Z. Li
20
7
0
12 Jun 2024
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein
  Identification
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification
Xin Jin
Hongyu Zhu
M. El-Yacoubi
Hongchao Liao
Huafeng Qin
Yun Jiang
23
6
0
21 May 2024
Enhancing Protein Predictive Models via Proteins Data Augmentation: A
  Benchmark and New Directions
Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions
Rui Sun
Lirong Wu
Haitao Lin
Yufei Huang
Stan Z. Li
12
1
0
01 Mar 2024
Boosting the Power of Small Multimodal Reasoning Models to Match Larger
  Models with Self-Consistency Training
Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training
Cheng Tan
Jingxuan Wei
Zhangyang Gao
Linzhuang Sun
Siyuan Li
Ruifeng Guo
Xihong Yang
Stan Z. Li
LRM
14
7
0
23 Nov 2023
SemiReward: A General Reward Model for Semi-supervised Learning
SemiReward: A General Reward Model for Semi-supervised Learning
Siyuan Li
Weiyang Jin
Zedong Wang
Fang Wu
Zicheng Liu
Cheng Tan
Stan Z. Li
10
9
0
04 Oct 2023
Semi-supervised learning made simple with self-supervised clustering
Semi-supervised learning made simple with self-supervised clustering
Enrico Fini
Pietro Astolfi
Alahari Karteek
Xavier Alameda-Pineda
Julien Mairal
Moin Nabi
Elisa Ricci
SSL
18
24
0
13 Jun 2023
GoogLe2Net: Going Transverse with Convolutions
GoogLe2Net: Going Transverse with Convolutions
Yuanpeng He
9
2
0
01 Jan 2023
SMMix: Self-Motivated Image Mixing for Vision Transformers
SMMix: Self-Motivated Image Mixing for Vision Transformers
Mengzhao Chen
Mingbao Lin
Zhihang Lin
Yu-xin Zhang
Fei Chao
Rongrong Ji
23
10
0
26 Dec 2022
DLME: Deep Local-flatness Manifold Embedding
DLME: Deep Local-flatness Manifold Embedding
Z. Zang
Siyuan Li
Di Wu
Ge Wang
Lei Shang
Baigui Sun
Haoyang Li
Stan Z. Li
11
24
0
07 Jul 2022
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Yidong Wang
Hao Chen
Qiang Heng
Wenxin Hou
Yue Fan
...
Marios Savvides
T. Shinozaki
Bhiksha Raj
Bernt Schiele
Xing Xie
170
251
0
15 May 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
201
848
0
15 Oct 2021
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
196
477
0
01 Oct 2021
Intriguing Properties of Vision Transformers
Intriguing Properties of Vision Transformers
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
ViT
246
512
0
21 May 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Jang-Hyun Kim
Wonho Choo
Hosan Jeong
Hyun Oh Song
195
173
0
05 Feb 2021
Mixup Without Hesitation
Mixup Without Hesitation
Hao Yu
Huanyu Wang
Jianxin Wu
VLM
21
21
0
12 Jan 2021
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,106
0
16 Nov 2016
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