What is the Effect of Importance Weighting in Deep Learning?

8 December 2018

Papers citing "What is the Effect of Importance Weighting in Deep Learning?"

50 / 124 papers shown

Title
Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning Puning Yang Qizhou Wang Zhuo Huang Tongliang Liu Chengqi Zhang Bo Han MU 36 0 0 17 May 2025
Sub-Clustering for Class Distance Recalculation in Long-Tailed Drug Classification Yujia Su Xinjie Li Lionel Z. Wang 46 0 0 07 Apr 2025
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation Zhanzhong Pang Fadime Sener Shrinivas Ramasubramanian Angela Yao 64 1 0 24 Mar 2025
FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups Géraldin Nanfack Eugene Belilovsky 76 0 0 10 Feb 2025
Refining Skewed Perceptions in Vision-Language Models through Visual Representations Haocheng Dai Sarang Joshi VLM 79 0 0 03 Jan 2025
The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations Chenyu You Haocheng Dai Yifei Min Jasjeet Sekhon S. Joshi James S. Duncan 68 3 0 01 Jan 2025
Not All LLM-Generated Data Are Equal: Rethinking Data Weighting in Text Classification Hsun-Yu Kuo Yin-Hsiang Liao Yu-Chieh Chao Wei-Yun Ma Pu-Jen Cheng SyDa 56 3 0 28 Oct 2024
Isolated Causal Effects of Natural Language Victoria Lin Louis-Philippe Morency Eli Ben-Michael CML 41 1 0 18 Oct 2024
In-context Learning in Presence of Spurious Correlations Hrayr Harutyunyan R. Darbinyan Samvel Karapetyan Hrant Khachatrian LRM 59 1 0 04 Oct 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment Naoya Hasegawa Issei Sato 46 0 0 26 Sep 2024
Unsupervised Domain Adaptation Via Data Pruning Andrea Napoli Paul White 36 1 0 18 Sep 2024
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities Yanis Lalou Théo Gnassounou Antoine Collas Antoine de Mathelin Oleksii Kachaiev Ambroise Odonnat Alexandre Gramfort Thomas Moreau Rémi Flamary 87 0 0 16 Jul 2024
Mind the Graph When Balancing Data for Fairness or Robustness Jessica Schrouff Alexis Bellot Amal Rannen-Triki Alan Malek Isabela Albuquerque Arthur Gretton Alexander DÁmour Silvia Chiappa OOD CML 56 1 0 25 Jun 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers Guangtao Zheng Wenqian Ye Aidong Zhang 65 1 0 15 Jun 2024
Language-guided Detection and Mitigation of Unknown Dataset Bias Zaiying Zhao Soichiro Kumano Toshihiko Yamasaki 53 2 0 05 Jun 2024
$How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance$ How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance Hongkang Li Shuai Zhang Yihua Zhang Meng Wang Sijia Liu Pin-Yu Chen 51 4 0 12 Mar 2024
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation Junda Wu Cheng-Chun Chang Tong Yu Zhankui He Jianing Wang Yupeng Hou Julian McAuley LRM RALM 39 20 0 11 Mar 2024
Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models Frederik Kunstner Robin Yadav Alan Milligan Mark Schmidt Alberto Bietti 49 26 0 29 Feb 2024
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning Lan Li Bowen Tao Lu Han De-Chuan Zhan Han-jia Ye SSL 42 4 0 27 Dec 2023
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification Hyenkyun Woo 25 0 0 26 Dec 2023
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization Jixuan Leng Yijiang Li Haohan Wang VLM 37 0 0 26 Nov 2023
Bias Amplification Enhances Minority Group Performance Gaotang Li Jiarui Liu Wei Hu 30 5 0 13 Sep 2023
Unveiling the frontiers of deep learning: innovations shaping diverse domains Shams Forruque Ahmed Md. Sakib Bin Alam Maliha Kabir Shaila Afrin Sabiha Jannat Rafa Aanushka Mehjabin Amir H. Gandomi AI4CE 42 2 0 06 Sep 2023
Dual Compensation Residual Networks for Class Imbalanced Learning Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 30 5 0 25 Aug 2023
Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks Erfan Loghmani MohammadAmin Fazli 18 4 0 13 Aug 2023
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks Emilie Grégoire M. H. Chaudhary Sam Verboven 29 1 0 07 Jun 2023
Rectifying Group Irregularities in Explanations for Distribution Shift Adam Stein Yinjun Wu Eric Wong Mayur Naik 42 1 0 25 May 2023
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels Min-Kook Suh Seung-Woo Seo SSL 46 14 0 02 May 2023
Exploring Vision-Language Models for Imbalanced Learning Yidong Wang Zhuohao Yu Jindong Wang Qiang Heng Haoxing Chen Wei Ye Rui Xie Xingxu Xie Shi-Bo Zhang VLM 46 30 0 04 Apr 2023
Beyond Toxic: Toxicity Detection Datasets are Not Enough for Brand Safety Elizaveta Korotkova Isaac Kwan Yin Chung 20 2 0 27 Mar 2023
Use Perturbations when Learning from Explanations Juyeon Heo Vihari Piratla Matthew Wicker Adrian Weller AAML 40 1 0 11 Mar 2023
Distributionally Robust Optimization with Probabilistic Group Soumya Suvra Ghosal Yixuan Li OOD 24 7 0 10 Mar 2023
When is Importance Weighting Correction Needed for Covariate Shift Adaptation? Davit Gogolashvili Matteo Zecchin Motonobu Kanagawa Marios Kountouris Maurizio Filippone 32 7 0 07 Mar 2023
Pseudo Labels Regularization for Imbalanced Partial-Label Learning Mingyu Xu Zheng Lian 28 1 0 06 Mar 2023
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data Alicia Curth M. Schaar CML 34 3 0 23 Feb 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 47 1 0 22 Feb 2023
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition Xiu-Shen Wei Xuhao Sun Yang Shen Anqi Xu Peng Wang Faen Zhang 38 1 0 07 Feb 2023
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure Xiaoling Zhou Ou Wu Weiyao Zhu Ziyang Liang 44 2 0 12 Jan 2023
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data Harsh Rangwani Sumukh K Aithal Mayank Mishra R. Venkatesh Babu 33 29 0 28 Dec 2022
Improving Zero-Shot Models with Label Distribution Priors Jonathan Kahana Niv Cohen Yedid Hoshen VLM 17 14 0 01 Dec 2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 24 6 0 28 Nov 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang Xuyang Zhao Jun Yao Chun Yuan Weiran Huang 46 20 0 20 Nov 2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee Annie S. Chen Fahim Tajwar Ananya Kumar Huaxiu Yao Percy Liang Chelsea Finn OOD 72 199 0 20 Oct 2022
Importance Weighting Correction of Regularized Least-Squares for Covariate and Target Shifts Davit Gogolashvili OOD 20 1 0 18 Oct 2022
Class-Imbalanced Complementary-Label Learning via Weighted Loss Meng Wei Yong Zhou Zhongnian Li Xinzheng Xu 21 13 0 28 Sep 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning Haobo Wang Mingxuan Xia Yixuan Li Yuren Mao Lei Feng Gang Chen Jiaqi Zhao 51 38 0 21 Sep 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li Yatao Bian P. Zhao Bing Wu Changqing Zhang Jianhua Yao 56 34 0 19 Sep 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 50 7 0 19 Sep 2022
A Class-Aware Representation Refinement Framework for Graph Classification Jiaxing Xu Jinjie Ni Yiping Ke GNN 34 4 0 02 Sep 2022
The Value of Out-of-Distribution Data Ashwin De Silva Rahul Ramesh Carey E. Priebe Pratik Chaudhari Joshua T. Vogelstein OODD 42 11 0 23 Aug 2022