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Learning Fast Sample Re-weighting Without Reward Data

Learning Fast Sample Re-weighting Without Reward Data

7 September 2021
Zizhao Zhang
Tomas Pfister
ArXivPDFHTML

Papers citing "Learning Fast Sample Re-weighting Without Reward Data"

14 / 14 papers shown
Title
MONICA: Benchmarking on Long-tailed Medical Image Classification
MONICA: Benchmarking on Long-tailed Medical Image Classification
Lie Ju
Siyuan Yan
Yukun Zhou
Yang Nan
Xiaodan Xing
Peibo Duan
Zongyuan Ge
54
0
0
02 Oct 2024
Improving Multi-label Recognition using Class Co-Occurrence
  Probabilities
Improving Multi-label Recognition using Class Co-Occurrence Probabilities
Samyak Rawlekar
Shubhang Bhatnagar
Vishnuvardhan Pogunulu Srinivasulu
Narendra Ahuja
VLM
32
5
0
24 Apr 2024
Stochastic Re-weighted Gradient Descent via Distributionally Robust
  Optimization
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization
Ramnath Kumar
Kushal Majmundar
Dheeraj M. Nagaraj
A. Suggala
ODL
24
6
0
15 Jun 2023
Instance-dependent Noisy-label Learning with Graphical Model Based
  Noise-rate Estimation
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
NoLa
28
1
0
31 May 2023
Predicting and Enhancing the Fairness of DNNs with the Curvature of
  Perceptual Manifolds
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds
Yanbiao Ma
Licheng Jiao
F. Liu
Maoji Wen
Lingling Li
Wenping Ma
Shuyuan Yang
Xu Liu
Puhua Chen
32
5
0
22 Mar 2023
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced
  Loss
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss
Lefan Zhang
Zhang-Hao Tian
Wujun Zhou
W. Wang
NoLa
19
2
0
20 Nov 2022
A Survey on Causal Representation Learning and Future Work for Medical
  Image Analysis
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis
Chang-Tien Lu
OOD
BDL
CML
MedIm
26
0
0
28 Oct 2022
Learning Temporal Resolution in Spectrogram for Audio Classification
Learning Temporal Resolution in Spectrogram for Audio Classification
Haohe Liu
Xubo Liu
Qiuqiang Kong
Wenwu Wang
Mark D. Plumbley
34
7
0
04 Oct 2022
Online Meta-Learning for Model Update Aggregation in Federated Learning
  for Click-Through Rate Prediction
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction
Xianghang Liu
Bartlomiej Twardowski
Tri Kurniawan Wijaya
FedML
21
1
0
30 Aug 2022
Personalizing Intervened Network for Long-tailed Sequential User
  Behavior Modeling
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling
Zheqi Lv
Feng Wang
Shengyu Zhang
Kun Kuang
Hongxia Yang
Fei Wu
26
8
0
19 Aug 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label
  Meta-learning
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
D. Hoang
Cuong C. Nguyen
Cuong Nguyen anh Belagiannis Vasileios
G. Carneiro
13
2
0
17 Aug 2022
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
250
656
0
23 Mar 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
174
639
0
19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
308
11,681
0
09 Mar 2017
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