Title
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries Jihwan Bang Hyun-woo Koh Seulki Park Hwanjun Song Jung-Woo Ha Jonghyun Choi CLL 35 39 0 29 Mar 2022
Agreement or Disagreement in Noise-tolerant Mutual Learning? Jiarun Liu Daguang Jiang Yukun Yang Ruirui Li NoLa 23 2 0 29 Mar 2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning Nazmul Karim Mamshad Nayeem Rizve Nazanin Rahnavard Ajmal Mian M. Shah NoLa 42 98 0 28 Mar 2022
An Empirical Study of Memorization in NLP Xiaosen Zheng Jing Jiang TDI 22 24 1 23 Mar 2022
Reducing Flipping Errors in Deep Neural Networks Xiang Deng Yun Xiao Bo Long Zhongfei Zhang AAML 38 4 0 16 Mar 2022
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels Yikai Wang Xinwei Sun Yanwei Fu NoLa 37 23 0 15 Mar 2022
Do Language Models Plagiarize? Jooyoung Lee Thai Le Jinghui Chen Dongwon Lee 41 74 0 15 Mar 2022
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability Ruifei He Shuyang Sun Jihan Yang Song Bai Xiaojuan Qi 37 36 0 10 Mar 2022
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning Weixin Liang Yuhui Zhang Yongchan Kwon Serena Yeung James Zou VLM 52 394 0 03 Mar 2022
Relative distance matters for one-shot landmark detection Qingsong Yao Jianji Wang Yihua Sun Quan Quan Heqin Zhu S. Kevin Zhou 15 6 0 03 Mar 2022
The Spectral Bias of Polynomial Neural Networks Moulik Choraria L. Dadi Grigorios G. Chrysos Julien Mairal V. Cevher 29 18 0 27 Feb 2022
Synergistic Network Learning and Label Correction for Noise-robust Image Classification Chen Gong K. Bin E. Seibel Xin Wang Youbing Yin Qi Song NoLa 35 2 0 27 Feb 2022
Dropout can Simulate Exponential Number of Models for Sample Selection Techniques RD Samsung 31 0 0 26 Feb 2022
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation Luca Sestini Benoit Rosa Elena De Momi G. Ferrigno N. Padoy 32 35 0 16 Feb 2022
Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost A. Khalili A. Bouchachia 19 0 0 12 Feb 2022
Benchmark Assessment for DeepSpeed Optimization Library G. Liang I. Alsmadi 34 3 0 12 Feb 2022
Understanding Rare Spurious Correlations in Neural Networks Yao-Yuan Yang Chi-Ning Chou Kamalika Chaudhuri AAML 34 25 0 10 Feb 2022
The no-free-lunch theorems of supervised learning T. Sterkenburg Peter Grünwald FedML 26 56 0 09 Feb 2022
L2B: Learning to Bootstrap Robust Models for Combating Label Noise Yuyin Zhou Xianhang Li Fengze Liu Qingyue Wei Xuxi Chen Lequan Yu Cihang Xie M. Lungren Lei Xing NoLa 49 3 0 09 Feb 2022
Fortuitous Forgetting in Connectionist Networks Hattie Zhou Ankit Vani Hugo Larochelle Aaron Courville CLL 16 42 0 01 Feb 2022
Do We Need to Penalize Variance of Losses for Learning with Label Noise? Yexiong Lin Yu Yao Yuxuan Du Jun Yu Bo Han Biwei Huang Tongliang Liu NoLa 53 3 0 30 Jan 2022
Overview frequency principle/spectral bias in deep learning Z. Xu Tao Luo Yaoyu Zhang FaML 38 66 0 19 Jan 2022
Contrastive Regularization for Semi-Supervised Learning Doyup Lee Sungwoong Kim Ildoo Kim Yeongjae Cheon Minsu Cho Wook-Shin Han SSL 18 40 0 17 Jan 2022
Robust Contrastive Learning against Noisy Views Ching-Yao Chuang R. Devon Hjelm Xin Eric Wang Vibhav Vineet Neel Joshi Antonio Torralba Stefanie Jegelka Ya-heng Song NoLa 16 68 0 12 Jan 2022
Learning with Label Noise for Image Retrieval by Selecting Interactions Sarah Ibrahimi Arnaud Sors Rafael Sampaio de Rezende S. Clinchant NoLa VLM 27 16 0 20 Dec 2021
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration Yu Wang Jingyang Lin Jingjing Zou Yingwei Pan Ting Yao Tao Mei OODD 39 12 0 15 Dec 2021
Robust Neural Network Classification via Double Regularization Olof Zetterqvist Rebecka Jörnsten J. Jonasson 19 1 0 15 Dec 2021
On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons Fangshuo Liao Anastasios Kyrillidis 59 16 0 05 Dec 2021
Novel Class Discovery in Semantic Segmentation Yuyang Zhao Zhun Zhong N. Sebe G. Lee 35 27 0 03 Dec 2021
Hierarchical Learning to Solve Partial Differential Equations Using Physics-Informed Neural Networks Jihun Han Yoonsang Lee AI4CE 24 10 0 02 Dec 2021
Learning Robust Recommender from Noisy Implicit Feedback Wenjie Wang Fuli Feng Xiangnan He Liqiang Nie Tat-Seng Chua NoLa 25 3 0 02 Dec 2021
Embedding Principle: a hierarchical structure of loss landscape of deep neural networks Tao Luo Yuqing Li Zhongwang Zhang Yaoyu Zhang Z. Xu 29 22 0 30 Nov 2021
Multi-label Iterated Learning for Image Classification with Label Ambiguity Sai Rajeswar Pau Rodríguez López Soumye Singhal David Vazquez Rameswar Panda VLM 28 30 0 23 Nov 2021
Discovering and Explaining the Representation Bottleneck of DNNs Huiqi Deng Qihan Ren Hao Zhang Quanshi Zhang 42 59 0 11 Nov 2021
Natural Adversarial Objects Felix Lau Nishant Subramani Sasha Harrison Aerin Kim E. Branson Rosanne Liu 26 7 0 07 Nov 2021
Meta-learning with an Adaptive Task Scheduler Huaxiu Yao Yu Wang Ying Wei P. Zhao M. Mahdavi Defu Lian Chelsea Finn OOD 38 47 0 26 Oct 2021
Noisy Annotation Refinement for Object Detection Jiafeng Mao Qing Yu Yoko Yamakata Kiyoharu Aizawa NoLa 47 10 0 20 Oct 2021
Mitigating Memorization of Noisy Labels via Regularization between Representations Hao Cheng Zhaowei Zhu Xing Sun Yang Liu NoLa 43 28 0 18 Oct 2021
Clean or Annotate: How to Spend a Limited Data Collection Budget Derek Chen Zhou Yu Samuel R. Bowman 41 13 0 15 Oct 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay C. Kim Jinseo Jeong Sang-chul Moon Gunhee Kim CLL 47 39 0 14 Oct 2021
Which Samples Should be Learned First: Easy or Hard? Xiaoling Zhou Ou Wu 32 17 0 11 Oct 2021
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning Xinghua Zhang Yu Bowen Tingwen Liu Zhenyu Zhang Shuaiyi Nie Mengge Xue Hongbo Xu 16 22 0 09 Oct 2021
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations Sheng Liu Kangning Liu Weicheng Zhu Yiqiu Shen C. Fernandez‐Granda NoLa 29 104 0 07 Oct 2021
Multi-Head ReLU Implicit Neural Representation Networks Arya Aftab Alireza Morsali 42 11 0 07 Oct 2021
Robustness and Reliability When Training With Noisy Labels Amanda Olmin Fredrik Lindsten OOD NoLa 24 14 0 07 Oct 2021
Influence-Balanced Loss for Imbalanced Visual Classification Seulki Park Jongin Lim Younghan Jeon J. Choi CVBM 90 132 0 06 Oct 2021
Trustworthy AI: From Principles to Practices Yue Liu Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 121 357 0 04 Oct 2021
Reduced-Lead ECG Classifier Model Trained with DivideMix and Model Ensemble Hiroshi Seki Takashi Nakano Koshiro Ikeda S. Hirooka Takaaki Kawasaki Mitsutomo Yamada Shumpei Saito T. Yamakawa Shimpei Ogawa 25 3 0 24 Sep 2021
Knowledge Distillation with Noisy Labels for Natural Language Understanding Shivendra Bhardwaj Abbas Ghaddar Ahmad Rashid Khalil Bibi Cheng-huan Li A. Ghodsi Philippe Langlais Mehdi Rezagholizadeh 21 1 0 21 Sep 2021
Assessing the Quality of the Datasets by Identifying Mislabeled Samples Vaibhav Pulastya Gaurav Nuti Yash Kumar Atri Tanmoy Chakraborty NoLa 35 5 0 10 Sep 2021