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2102.09554
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Delving into Deep Imbalanced Regression
International Conference on Machine Learning (ICML), 2021
18 February 2021
Yuzhe Yang
Kaiwen Zha
Ying-Cong Chen
Hongya Wang
Dina Katabi
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Papers citing
"Delving into Deep Imbalanced Regression"
42 / 42 papers shown
CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs
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Renbo Zhang
Zhengyi Yang
Yunjun Gao
Bin Cao
Jing Fan
194
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0
17 Jun 2025
Mixture Experts with Test-Time Self-Supervised Aggregation for Tabular Imbalanced Regression
Yung-Chien Wang
Kuang-Da Wang
Wei-Yao Wang
Wen-Chih Peng
MoE
276
0
0
08 Jun 2025
Model-agnostic Mitigation Strategies of Data Imbalance for Regression
Jelke Wibbeke
Sebastian Rohjans
Andreas Rauh
269
1
0
02 Jun 2025
The When and How of Target Variable Transformations
International Symposium on Intelligent Data Analysis (IDA), 2025
Loren Nuyts
Jesse Davis
292
3
0
29 Apr 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
Neural Information Processing Systems (NeurIPS), 2025
C. Kim
Sangwoo Moon
Jihwan Moon
Dongyeon Woo
Gunhee Kim
NoLa
475
1
0
25 Feb 2025
Tokenized SAEs: Disentangling SAE Reconstructions
Thomas Dooms
Daniel Wilhelm
687
0
0
24 Feb 2025
Improving Deep Regression with Tightness
International Conference on Learning Representations (ICLR), 2025
Shihao Zhang
Yuguang Yan
Angela Yao
OOD
559
0
0
13 Feb 2025
PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation
Ziyan Wang
Sizhe Wei
Xiaoming Huo
Hao Wang
DiffM
610
1
0
12 Feb 2025
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint
International Conference on Learning Representations (ICLR), 2024
Guangkun Nie
Gongzheng Tang
Shenda Hong
496
4
0
20 Nov 2024
TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-tail Trajectory Prediction
Junrui Zhang
Mozhgan Pourkeshavarz
Amir Rasouli
442
12
0
18 Apr 2024
Global 4D Ionospheric STEC Prediction based on DeepONet for GNSS Rays
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Dijia Cai
Zenghui Shi
Haiyang Fu
Huan Liu
Hongyi Qian
Yun Sui
Feng Xu
Ya-Qiu Jin
194
5
0
12 Mar 2024
Imbalance in Regression Datasets
Daniel Kowatsch
Nicolas Müller
Kilian Tscharke
Philip Sperl
Konstantin Botinger
178
3
0
19 Feb 2024
Gradient Aligned Regression via Pairwise Losses
Dixian Zhu
Tianbao Yang
Livnat Jerby-Arnon
504
2
0
08 Feb 2024
Are we making much progress? Revisiting chemical reaction yield prediction from an imbalanced regression perspective
The Web Conference (WWW), 2024
Yihong Ma
Xiaobao Huang
B. Nan
Nuno Moniz
Xiangliang Zhang
Olaf Wiest
Nitesh Chawla
252
11
0
06 Feb 2024
QAFE-Net: Quality Assessment of Facial Expressions with Landmark Heatmaps
Shuchao Duan
Amirhossein Dadashzadeh
Alan Whone
Majid Mirmehdi
CVBM
421
2
0
01 Dec 2023
High-resolution Population Maps Derived from Sentinel-1 and Sentinel-2
Remote Sensing of Environment (RSE), 2023
Nando Metzger
Rodrigo Caye Daudt
D. Tuia
Konrad Schindler
360
15
0
23 Nov 2023
Circuit as Set of Points
Neural Information Processing Systems (NeurIPS), 2023
Jialv Zou
Xinggang Wang
Jiahao Guo
Wenyu Liu
Qian Zhang
Chang Huang
GNN
3DV
3DPC
197
5
0
26 Oct 2023
Fall Prediction for Bipedal Robots: The Standing Phase
IEEE International Conference on Robotics and Automation (ICRA), 2023
M. E. Mungai
Gokul Prabhakaran
J. Grizzle
211
10
0
25 Sep 2023
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes
Tim Bakker
H. V. Hoof
Max Welling
278
2
0
11 Sep 2023
MiVOLO: Multi-input Transformer for Age and Gender Estimation
International Joint Conference on the Analysis of Images, Social Networks and Texts (AIST), 2023
Maksim Kuprashevich
Irina Tolstykh
357
74
0
10 Jul 2023
Score-balanced Loss for Multi-aspect Pronunciation Assessment
Interspeech (Interspeech), 2023
Heejin Do
Yunsu Kim
G. G. Lee
202
9
0
26 May 2023
Testing of Deep Reinforcement Learning Agents with Surrogate Models
ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Matteo Biagiola
Paolo Tonella
350
35
0
22 May 2023
Data Augmentation for Imbalanced Regression
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Samuel Stocksieker
Denys Pommeret
Arthur Charpentier
226
9
0
18 Feb 2023
Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression
AAAI Conference on Artificial Intelligence (AAAI), 2023
Zhiyu Pan
Yinpeng Chen
Jiale Zhang
Hao Lu
Zhiguo Cao
Weicai Zhong
CoGe
232
11
0
17 Feb 2023
Large-Scale Cell-Level Quality of Service Estimation on 5G Networks Using Machine Learning Techniques
M. T. Isyapar
Ufuk Uyan
Mahiye Uluyagmur Öztürk
198
0
0
28 Dec 2022
Rebalanced Zero-shot Learning
IEEE Transactions on Image Processing (IEEE TIP), 2022
Zihan Ye
Guan Yang
Xiaobo Jin
Youfa Liu
Kaizhu Huang
VLM
447
18
0
13 Oct 2022
SimPer: Simple Self-Supervised Learning of Periodic Targets
International Conference on Learning Representations (ICLR), 2022
Yuzhe Yang
Xin Liu
Jiang Wu
Silviu Borac
Dina Katabi
M. Poh
Daniel J. McDuff
347
60
0
06 Oct 2022
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery
Lanqing Li
Li Zeng
Zi-Chao Gao
Shen Yuan
Yatao Bian
...
Wei Liu
Hongteng Xu
Jia Li
P. Zhao
Pheng-Ann Heng
VLM
231
5
0
16 Sep 2022
Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data
Taha ValizadehAslani
Yiwen Shi
Jing Wang
Ping Ren
Yi Zhang
Meng Hu
Lianggong Zhao
Hualou Liang
262
8
0
22 Jul 2022
Long-Tail Prediction Uncertainty Aware Trajectory Planning for Self-driving Vehicles
Weitao Zhou
Zhong Cao
Yunkang Xu
Nanshan Deng
Xiaoyu Liu
Yunlong Wang
Diange Yang
383
35
0
02 Jul 2022
Model Optimization in Imbalanced Regression
IFIP Working Conference on Database Semantics (IWDS), 2022
Aníbal Silva
Rita P. Ribeiro
Nuno Moniz
235
15
0
20 Jun 2022
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
International Conference on Machine Learning (ICML), 2022
Yu Gong
Greg Mori
Frederick Tung
359
68
0
30 May 2022
WayFAST: Navigation with Predictive Traversability in the Field
IEEE Robotics and Automation Letters (RA-L), 2022
M. V. Gasparino
A. N. Sivakumar
Yixiao Liu
A. E. B. Velasquez
V. A. H. Higuti
J. Rogers
Huy T. Tran
Girish Chowdhary
366
73
0
22 Mar 2022
Enhanced physics-constrained deep neural networks for modeling vanadium redox flow battery
Social Science Research Network (SSRN), 2022
Qizhi He
Yucheng Fu
P. Stinis
A. Tartakovsky
157
24
0
03 Mar 2022
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
Computer Vision and Pattern Recognition (CVPR), 2021
Tianhong Li
Peng Cao
Yuan. Yuan
Lijie Fan
Yuzhe Yang
Rogerio Feris
Piotr Indyk
Dina Katabi
416
254
0
27 Nov 2021
HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
Hugo Yèche
Rita Kuznetsova
M. Zimmermann
Matthias Huser
Xinrui Lyu
M. Faltys
Gunnar Rätsch
499
60
0
16 Nov 2021
Self-supervised Learning is More Robust to Dataset Imbalance
International Conference on Learning Representations (ICLR), 2021
Hong Liu
Jeff Z. HaoChen
Adrien Gaidon
Tengyu Ma
OOD
SSL
286
190
0
11 Oct 2021
Deep Long-Tailed Learning: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yifan Zhang
Bingyi Kang
Bryan Hooi
Shuicheng Yan
Jiashi Feng
VLM
500
829
0
09 Oct 2021
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
International Conference on Learning Representations (ICLR), 2021
Ximei Wang
Xinyang Chen
Jianmin Wang
Mingsheng Long
161
1
0
09 Oct 2021
The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation
PLoS ONE (PLOS ONE), 2021
Nicolas Valenchon
Yann Bouteiller
Hugo R. Jourde
Xavier L'Heureux
Milo Sobral
Emily B. J. Coffey
Giovanni Beltrame
254
23
0
28 Jul 2021
Technical Report for Valence-Arousal Estimation in ABAW2 Challenge
Hongxia Xie
I-Hsuan Li
Ling Lo
Hong-Han Shuai
Wen-Huang Cheng
248
11
0
08 Jul 2021
Deep Extrapolation for Attribute-Enhanced Generation
Alvin Chan
Ali Madani
Ben Krause
Nikhil Naik
279
30
0
07 Jul 2021
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