Title
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction Zilin Du Haoxin Li Xu Guo Boyang Li 35 1 0 05 Dec 2023
Overcoming Label Noise for Source-free Unsupervised Video Domain Adaptation A. Dasgupta C. V. Jawahar Karteek Alahari TTA VLM 24 10 0 30 Nov 2023
In Search of a Data Transformation That Accelerates Neural Field Training Junwon Seo Sangyoon Lee Kwang In Kim Jaeho Lee 49 3 0 28 Nov 2023
Learning with Noisy Low-Cost MOS for Image Quality Assessment via Dual-Bias Calibration Lei Wang Qingbo Wu Desen Yuan K. Ngan Hongliang Li Fanman Meng Linfeng Xu 31 5 0 27 Nov 2023
Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in text Isaac Caswell Lisa Wang Isabel Papadimitriou 28 0 0 11 Nov 2023
There's no Data Like Better Data: Using QE Metrics for MT Data Filtering Jan-Thorsten Peter David Vilar Daniel Deutsch Mara Finkelstein Juraj Juraska Markus Freitag 22 17 0 09 Nov 2023
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation Dzung Pham Shreyas Kulkarni Amir Houmansadr 33 0 0 29 Oct 2023
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting Runqi Lin Chaojian Yu Bo Han Tongliang Liu 35 7 0 13 Oct 2023
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery Hengwei Zhao Xinyu Wang Jingtao Li Yanfei Zhong 37 9 0 29 Aug 2023
Uncovering the Hidden Cost of Model Compression Diganta Misra Muawiz Chaudhary Agam Goyal Bharat Runwal Pin-Yu Chen VLM 38 0 0 29 Aug 2023
Channel-Wise Contrastive Learning for Learning with Noisy Labels Hui-Sung Kang Sheng Liu Huaxi Huang Tongliang Liu NoLa 47 0 0 14 Aug 2023
Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes S. Lehmler Muhammad Saif-ur-Rehman Tobias Glasmachers Ioannis Iossifidis 27 0 0 01 Aug 2023
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions Wenjie Xuan Shanshan Zhao Yu Yao Juhua Liu Tongliang Liu Yixin Chen Bo Du Dacheng Tao NoLa 34 6 0 26 Jul 2023
Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiacheng Yao Yikai Zhang Songzhu Zheng Mayank Goswami Prateek Prasanna Chao Chen 41 15 0 21 Jul 2023
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence Xia Huang Kai Fong Ernest Chong 42 2 0 19 Jul 2023
Omnipotent Adversarial Training in the Wild Guanlin Li Kangjie Chen Yuan Xu Han Qiu Tianwei Zhang 29 0 0 14 Jul 2023
Robust Feature Learning Against Noisy Labels Tsung-Ming Tai Yun-Jie Jhang Wen-Jyi Hwang NoLa 23 1 0 10 Jul 2023
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance Shantanu Ghosh Kayhan Batmanghelich 30 0 0 07 Jul 2023
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training Zizheng Yan Yushuang Wu Yipeng Qin Xiaoguang Han Shuguang Cui Guanbin Li 39 1 0 07 Jul 2023
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses G. Buzaglo Niv Haim Gilad Yehudai Gal Vardi Yakir Oz Yaniv Nikankin Michal Irani 34 10 0 04 Jul 2023
Quantifying lottery tickets under label noise: accuracy, calibration, and complexity V. Arora Daniele Irto Sebastian Goldt G. Sanguinetti 38 2 0 21 Jun 2023
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels Chuanyan Hu Shipeng Yan Zhitong Gao Xuming He NoLa 29 4 0 20 Jun 2023
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn OOD 22 5 0 19 Jun 2023
AdaSelection: Accelerating Deep Learning Training through Data Subsampling Minghe Zhang Chaosheng Dong Jinmiao Fu Tianchen Zhou Jia Liang ... Bo Liu Michinari Momma Bryan Wang Yan Gao Yi Sun 35 3 0 19 Jun 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability Jianing Zhu Hengzhuang Li Jiangchao Yao Tongliang Liu Jianliang Xu Bo Han OODD 45 12 0 06 Jun 2023
R-Mixup: Riemannian Mixup for Biological Networks Xuan Kan Zimu Li Hejie Cui Yue Yu Ran Xu Shaojun Yu Zilong Zhang Ying Guo Carl Yang 38 6 0 05 Jun 2023
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 41 1 0 31 May 2023
ReSup: Reliable Label Noise Suppression for Facial Expression Recognition Xiang Zhang Yan Lu Huan Yan Jingyang Huang Yusheng Ji Yu Gu 35 3 0 29 May 2023
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning Jingfeng Zhang Bo Song Haohan Wang Bo Han Tongliang Liu Lei Liu Masashi Sugiyama AAML NoLa 34 14 0 28 May 2023
Mitigating Label Noise through Data Ambiguation Julian Lienen Eyke Hüllermeier NoLa 32 7 0 23 May 2023
How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features Simone Bombari Marco Mondelli AAML 37 4 0 20 May 2023
Token-Level Fitting Issues of Seq2seq Models Guangsheng Bao Zhiyang Teng Yue Zhang 24 0 0 08 May 2023
Do deep neural networks have an inbuilt Occam's razor? Chris Mingard Henry Rees Guillermo Valle Pérez A. Louis UQCV BDL 21 16 0 13 Apr 2023
Noisy Correspondence Learning with Meta Similarity Correction Haocheng Han Kaiyao Miao Qinghua Zheng Minnan Luo 32 28 0 13 Apr 2023
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing M. Hasan Moloud Abdar Abbas Khosravi U. Aickelin Pietro Lio Ibrahim Hossain Ashikur Rahman Saeid Nahavandi 35 4 0 11 Apr 2023
Probing the Purview of Neural Networks via Gradient Analysis Jinsol Lee Charles Lehman Mohit Prabhushankar Ghassan AlRegib 32 7 0 06 Apr 2023
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification Youngwook Kim Jae Myung Kim Ji-Eun Jeong Cordelia Schmid Zeynep Akata Jungwook Lee 27 7 0 04 Apr 2023
HD-GCN:A Hybrid Diffusion Graph Convolutional Network Zhi Yang Kang Li Haitao Gan Zhongwei Huang Ming Shi GNN 34 2 0 31 Mar 2023
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation Nazmul Karim Niluthpol Chowdhury Mithun Abhinav Rajvanshi Han-Pang Chiu S. Samarasekera Nazanin Rahnavard TTA 21 56 0 30 Mar 2023
Dynamics-Aware Loss for Learning with Label Noise Xiu-Chuan Li Xiaobo Xia Fei Zhu Tongliang Liu Xu-Yao Zhang Cheng-Lin Liu NoLa AI4CE 35 6 0 21 Mar 2023
Learn, Unlearn and Relearn: An Online Learning Paradigm for Deep Neural Networks V. Ramkumar Elahe Arani Bahram Zonooz MU OnRL CLL 39 5 0 18 Mar 2023
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 37 3 0 16 Mar 2023
Unifying Grokking and Double Descent Peter W. Battaglia David Raposo Kelsey 40 31 0 10 Mar 2023
Overwriting Pretrained Bias with Finetuning Data Angelina Wang Olga Russakovsky 26 29 0 10 Mar 2023
Improving Audio-Visual Video Parsing with Pseudo Visual Labels Jinxing Zhou Dan Guo Yiran Zhong Meng Wang VLM 39 13 0 04 Mar 2023
Learning time-scales in two-layers neural networks Raphael Berthier Andrea Montanari Kangjie Zhou 38 33 0 28 Feb 2023
Practical Knowledge Distillation: Using DNNs to Beat DNNs Chungman Lee Pavlos Anastasios Apostolopulos Igor L. Markov FedML 27 1 0 23 Feb 2023
Unsupervised Domain Adaptation via Distilled Discriminative Clustering Hui Tang Yaowei Wang Kui Jia OOD 28 43 0 23 Feb 2023
A Comprehensive Survey on Source-free Domain Adaptation Zhiqi Yu Jingjing Li Zhekai Du Lei Zhu H. Shen TTA 34 96 0 23 Feb 2023
Towards Unbounded Machine Unlearning M. Kurmanji Peter Triantafillou Jamie Hayes Eleni Triantafillou MU 28 123 0 20 Feb 2023