Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1906.07413
Cited By
v1
v2 (latest)
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Neural Information Processing Systems (NeurIPS), 2019
18 June 2019
Kaidi Cao
Colin Wei
Adrien Gaidon
Nikos Arechiga
Tengyu Ma
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss"
50 / 879 papers shown
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification
Zhiwei Zhang
186
1
0
30 Aug 2024
VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition
Zaiwei Zhang
Gregory P. Meyer
Zhichao Lu
Ashish Shrivastava
Avinash Ravichandran
Eric M. Wolff
VLM
266
5
0
29 Aug 2024
Improving Diffusion-based Data Augmentation with Inversion Spherical Interpolation
Computer Vision and Pattern Recognition (CVPR), 2024
Yanghao Wang
Long Chen
DiffM
316
0
0
29 Aug 2024
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning
ACM Multimedia (MM), 2024
Lei Liu
Li Liu
Yawen Cui
CLL
222
1
0
27 Aug 2024
HABD: a houma alliance book ancient handwritten character recognition database
Xiaoyu Yuan
Xiaohua Huang
Zibo Zhang
Yabo Sun
76
0
0
26 Aug 2024
An Embedding is Worth a Thousand Noisy Labels
Francesco Di Salvo
Sebastian Doerrich
Ines Rieger
Christian Ledig
NoLa
325
1
0
26 Aug 2024
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond
Minghao Liu
Zonglin Di
Jiaheng Wei
Zhongruo Wang
Hengxiang Zhang
...
Haobo Wang
Lei Feng
Yongfeng Zhang
James Davis
Yang Liu
232
18
0
21 Aug 2024
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning
Dong Geun Shin
Hye Won Chung
OODD
349
3
0
20 Aug 2024
MSDiagnosis: An EMR-based Dataset for Clinical Multi-Step Diagnosis
Ruihui Hou
Shencheng Chen
Yongqi Fan
Lifeng Zhu
Jing Sun
Jingping Liu
Tong Ruan
306
0
0
19 Aug 2024
Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit Adjustment
European Conference on Computer Vision (ECCV), 2024
Zhanzhong Pang
Fadime Sener
Shrinivas Ramasubramanian
Angela Yao
209
5
0
19 Aug 2024
On the KL-Divergence-based Robust Satisficing Model
Haojie Yan
Minglong Zhou
Jiayi Guo
214
2
0
17 Aug 2024
Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image Classification
ACM Multimedia (MM), 2024
Jiexuan Yan
Sheng Huang
Nankun Mu
Luwen Huangfu
Bo Liu
VLM
214
8
0
15 Aug 2024
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Shunxin Guo
Hongsong Wang
Shuxia Lin
Zhiqiang Kou
Xin Geng
FedML
347
7
0
15 Aug 2024
All-around Neural Collapse for Imbalanced Classification
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Enhao Zhang
Chaohua Li
Chuanxing Geng
Songcan Chen
AI4CE
324
2
0
14 Aug 2024
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail
AAAI Conference on Artificial Intelligence (AAAI), 2024
Yina He
Lei Peng
Yongcun Zhang
Juanjuan Weng
Shaozi Li
Shaozi Li
OODD
356
3
0
13 Aug 2024
PRECISe : Prototype-Reservation for Explainable Classification under Imbalanced and Scarce-Data Settings
Machine Learning in Health Care (MLHC), 2024
Vaibhav Ganatra
Drishti Goel
191
0
0
11 Aug 2024
Learning from Noisy Labels for Long-tailed Data via Optimal Transport
International Conference on Neural Information Processing (ICONIP), 2024
Mengting Li
Chuang Zhu
227
0
0
07 Aug 2024
Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical Image Classification and Confidence Calibration
Xiaoqing Zhang
Qiushi Nie
Zunjie Xiao
Jilu Zhao
Xiao Wu
Pengxin Guo
Runzhi Li
Jin Liu
Yanjie Wei
Yi-Lun Pan
257
0
0
06 Aug 2024
Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning
Fengling Lv
Xinyi Shang
Yang Zhou
Yiqun Zhang
Mengke Li
Yang Lu
FedML
267
1
0
04 Aug 2024
A Systematic Review on Long-Tailed Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Chongsheng Zhang
G. Almpanidis
Gaojuan Fan
Binquan Deng
Yanbo Zhang
Ji Liu
Aouaidjia Kamel
Paolo Soda
Joao Gama
406
24
0
01 Aug 2024
LADDER: Language Driven Slice Discovery and Error Rectification
Shantanu Ghosh
Rayan Syed
Chenyu Wang
Clare B. Poynton
Kayhan Batmanghelich
220
1
0
31 Jul 2024
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering
Preslav Nakov
Tairan Wang
Taicheng Guo
Kehan Guo
Juexiao Zhou
Haoyang Li
Mingchen Zhuge
Jürgen Schmidhuber
Xin Gao
Xiangliang Zhang
264
6
0
24 Jul 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
Kai-Chun Liu
Zhihang Fu
Sheng Jin
Chao Chen
Ze Chen
Rongxin Jiang
Fan Zhou
Yao-Shen Chen
Jieping Ye
OODD
206
2
0
23 Jul 2024
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functions
Jiaqi Luo
Yuan Yuan
Shixin Xu
AI4CE
275
19
0
19 Jul 2024
Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks
Thao Hoang
Linh Nguyen
Khoi Do
Duong Nguyen
Viet Dung Nguyen
199
2
0
19 Jul 2024
LTRL: Boosting Long-tail Recognition via Reflective Learning
QiHao Zhao
Yalun Dai
Shen Lin
Wei Hu
Fan Zhang
Jun Liu
273
3
0
17 Jul 2024
Non-parametric regularization for class imbalance federated medical image classification
Jeffry Wicaksana
Zengqiang Yan
Kwang-Ting Cheng
FedML
212
1
0
17 Jul 2024
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition
Jiahang Zhang
Lilang Lin
Jiaying Liu
290
9
0
17 Jul 2024
Learning Confidence Bounds for Classification with Imbalanced Data
European Conference on Artificial Intelligence (ECAI), 2024
Matt Clifford
Jonathan Erskine
Alexander Hepburn
Raúl Santos-Rodríguez
Dario Garcia-Garcia
311
0
0
16 Jul 2024
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer
Tahira Shehzadi
Ifza
Didier Stricker
Muhammad Zeshan Afzal
ViT
364
10
0
11 Jul 2024
Adaptive Parametric Activation: Unifying and Generalising Activation Functions Across Tasks
European Conference on Computer Vision (ECCV), 2024
Konstantinos Panagiotis Alexandridis
Jiankang Deng
A. Nguyen
Shan Luo
302
7
0
11 Jul 2024
Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models
Yuji Zhang
Sha Li
Jiateng Liu
Pengfei Yu
Yi R. Fung
Jing Li
Pengfei Yu
Heng Ji
381
27
0
10 Jul 2024
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning
Giuseppe Serra
Ben Werner
Florian Buettner
424
5
0
10 Jul 2024
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning
Zeju Li
Ying-Qiu Zheng
Chen Chen
Saâd Jbabdi
173
0
0
07 Jul 2024
Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification
S. SreeRamaVamsidhar
Bhargava Satya
Rama Krishna Sai Subrahmanyam Gorthi
209
1
0
06 Jul 2024
Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation
Haolin Pan
Yong Guo
Mianjie Yu
Jian Chen
392
18
0
06 Jul 2024
Personalized federated learning based on feature fusion
Wolong Xing
Zhenkui Shi
Hongyan Peng
Xiantao Hu
Xianxian Li
FedML
221
2
0
24 Jun 2024
An Efficient NAS-based Approach for Handling Imbalanced Datasets
Zhiwei Yao
159
0
0
22 Jun 2024
A General Online Algorithm for Optimizing Complex Performance Metrics
Wojciech Kotłowski
Marek Wydmuch
Erik Schultheis
Rohit Babbar
Krzysztof Dembczyñski
174
1
0
20 Jun 2024
Fair Differentiable Neural Network Architecture Search for Long-Tailed Data with Self-Supervised Learning
Jiaming Yan
193
0
0
19 Jun 2024
Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model
Knowledge Discovery and Data Mining (KDD), 2024
Jiang-Xin Shi
Chi Zhang
Tong Wei
Yu-Feng Li
VLM
177
3
0
18 Jun 2024
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
Tian Liu
Huixin Zhang
Shubham Parashar
Shu Kong
307
2
0
17 Jun 2024
Heterogeneous Learning Rate Scheduling for Neural Architecture Search on Long-Tailed Datasets
Chenxia Tang
217
1
0
11 Jun 2024
Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration
Yuanjie Shi
Subhankar Ghosh
Taha Belkhouja
J. Doppa
Yan Yan
205
10
0
10 Jun 2024
Confidence-aware Contrastive Learning for Selective Classification
International Conference on Machine Learning (ICML), 2024
Yu-Chang Wu
Shen-Huan Lyu
Haopu Shang
Xiangyu Wang
Chao Qian
161
5
0
07 Jun 2024
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition
Sanglee Park
Seung-won Hwang
Jungmin So
239
0
0
04 Jun 2024
LLMs Could Autonomously Learn Without External Supervision
Ke Ji
Junying Chen
Anningzhe Gao
Wenya Xie
Xiang Wan
Benyou Wang
241
5
0
02 Jun 2024
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
Li Lin
Santosh
Xin Eric Wang
Shu Hu
Shu Hu
EGVM
704
28
0
02 Jun 2024
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference
S. Park
Hyuk Kwon
Kwanghoon Sohn
Kibok Lee
OffRL
246
1
0
31 May 2024
IM-Context: In-Context Learning for Imbalanced Regression Tasks
Ismail Nejjar
Faez Ahmed
Olga Fink
245
5
0
28 May 2024
Previous
1
2
3
4
5
...
16
17
18
Next
