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Distributional Robustness Loss for Long-tail Learning

Distributional Robustness Loss for Long-tail Learning

7 April 2021
Dvir Samuel
Gal Chechik
    OOD
ArXivPDFHTML

Papers citing "Distributional Robustness Loss for Long-tail Learning"

24 / 24 papers shown
Title
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification
Sicong Li
Qianqian Xu
Zhiyong Yang
Zitai Wang
L. Zhang
Xiaochun Cao
Q. Huang
67
0
0
03 May 2025
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation
Zhanzhong Pang
Fadime Sener
Shrinivas Ramasubramanian
Angela Yao
56
1
0
24 Mar 2025
Continual Learning: Less Forgetting, More OOD Generalization via
  Adaptive Contrastive Replay
Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay
Hossein Rezaei
Mohammad Sabokrou
CLL
23
0
0
09 Oct 2024
Delving into the Trajectory Long-tail Distribution for Muti-object
  Tracking
Delving into the Trajectory Long-tail Distribution for Muti-object Tracking
Sijia Chen
En Yu
Jinyang Li
Wenbing Tao
DiffM
35
12
0
07 Mar 2024
Supervised Contrastive Representation Learning: Landscape Analysis with
  Unconstrained Features
Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features
Tina Behnia
Christos Thrampoulidis
SSL
31
0
0
29 Feb 2024
Class Uncertainty: A Measure to Mitigate Class Imbalance
Class Uncertainty: A Measure to Mitigate Class Imbalance
Z. S. Baltaci
K. Oksuz
S. Kuzucu
K. Tezoren
B. K. Konar
A. Ozkan
Emre Akbas
Sinan Kalkan
82
2
0
23 Nov 2023
Uncertainty-guided Boundary Learning for Imbalanced Social Event
  Detection
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection
Jiaqian Ren
Hao Peng
Lei Jiang
Zhiwei Liu
Jia Wu
Zhengtao Yu
Phillp S. Yu
23
13
0
30 Oct 2023
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified
  Framework
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework
Mahdiyar Molahasani
Michael A. Greenspan
Ali Etemad
24
2
0
23 Jun 2023
Symmetric Neural-Collapse Representations with Supervised Contrastive
  Loss: The Impact of ReLU and Batching
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
Ganesh Ramachandra Kini
V. Vakilian
Tina Behnia
Jaidev Gill
Christos Thrampoulidis
17
1
0
13 Jun 2023
Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution
  in trained DNNs
Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNs
Mahum Naseer
Muhammad Shafique
AI4CE
8
0
0
29 Mar 2023
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition
Xiu-Shen Wei
Xuhao Sun
Yang Shen
Anqi Xu
Peng Wang
Faen Zhang
36
1
0
07 Feb 2023
Learning Prototype Classifiers for Long-Tailed Recognition
Learning Prototype Classifiers for Long-Tailed Recognition
Saurabh Sharma
Yongqin Xian
Ning Yu
Ambuj K. Singh
22
13
0
01 Feb 2023
Escaping Saddle Points for Effective Generalization on Class-Imbalanced
  Data
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data
Harsh Rangwani
Sumukh K Aithal
Mayank Mishra
R. Venkatesh Babu
31
27
0
28 Dec 2022
Compound Batch Normalization for Long-tailed Image Classification
Compound Batch Normalization for Long-tailed Image Classification
Lechao Cheng
Chaowei Fang
Dingwen Zhang
Guanbin Li
Gang Huang
40
11
0
02 Dec 2022
Inverse Image Frequency for Long-tailed Image Recognition
Inverse Image Frequency for Long-tailed Image Recognition
Konstantinos Panagiotis Alexandridis
Shang Luo
Anh H. Nguyen
Jiankang Deng
S. Zafeiriou
38
9
0
11 Sep 2022
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed
  Recognition
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition
Saptarshi Sinha
Hiroki Ohashi
11
6
0
07 Sep 2022
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap
  Coefficient for Long-tailed Learning
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning
Hualiang Wang
Siming Fu
Xiaoxuan He
Han Fang
Zuozhu Liu
Haoji Hu
30
17
0
22 Aug 2022
Balanced Contrastive Learning for Long-Tailed Visual Recognition
Balanced Contrastive Learning for Long-Tailed Visual Recognition
Jianggang Zhu
Z. Wang
Jingjing Chen
Yi-Ping Phoebe Chen
Yueping Jiang
24
167
0
19 Jul 2022
Balanced Product of Calibrated Experts for Long-Tailed Recognition
Balanced Product of Calibrated Experts for Long-Tailed Recognition
Emanuel Sanchez Aimar
Arvi Jonnarth
M. Felsberg
Marco Kuhlmann
15
22
0
10 Jun 2022
ELM: Embedding and Logit Margins for Long-Tail Learning
ELM: Embedding and Logit Margins for Long-Tail Learning
Wittawat Jitkrittum
A. Menon
A. S. Rawat
Surinder Kumar
29
11
0
27 Apr 2022
Long-Tailed Recognition via Weight Balancing
Long-Tailed Recognition via Weight Balancing
Shaden Alshammari
Yu-xiong Wang
Deva Ramanan
Shu Kong
MQ
17
140
0
27 Mar 2022
Discovering Objects that Can Move
Discovering Objects that Can Move
Zhipeng Bao
P. Tokmakov
Allan Jabri
Yu-xiong Wang
Adrien Gaidon
M. Hebert
OCL
31
43
0
18 Mar 2022
VL-LTR: Learning Class-wise Visual-Linguistic Representation for
  Long-Tailed Visual Recognition
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
Changyao Tian
Wenhai Wang
Xizhou Zhu
Jifeng Dai
Yu Qiao
VLM
30
69
0
26 Nov 2021
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
247
782
0
05 Dec 2019
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