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2011.06220
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Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting
Neural Computation (Neural Comput.), 2020
12 November 2020
Zeke Xie
Fengxiang He
Shaopeng Fu
Issei Sato
Dacheng Tao
Masashi Sugiyama
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Papers citing
"Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting"
25 / 25 papers shown
On-the-fly Modulation for Balanced Multimodal Learning
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Towards Practical Tool Usage for Continually Learning LLMs
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Neural Field Classifiers via Target Encoding and Classification Loss
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182
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02 Mar 2024
Active Neural Mapping
IEEE International Conference on Computer Vision (ICCV), 2023
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30 Aug 2023
S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields
IEEE International Conference on Computer Vision (ICCV), 2023
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Xindi Yang
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14 Aug 2023
Feature Noise Boosts DNN Generalization under Label Noise
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
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03 Aug 2023
On the Overlooked Structure of Stochastic Gradients
Neural Information Processing Systems (NeurIPS), 2022
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Qian-Yuan Tang
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05 Dec 2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels
International Journal of Computer Vision (IJCV), 2022
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Research Trends and Applications of Data Augmentation Algorithms
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Sparse Double Descent: Where Network Pruning Aggravates Overfitting
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17 Jun 2022
Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective
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15 May 2022
Lifelong Ensemble Learning based on Multiple Representations for Few-Shot Object Recognition
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04 May 2022
Goldilocks-curriculum Domain Randomization and Fractal Perlin Noise with Application to Sim2Real Pneumonia Lesion Detection
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189
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29 Apr 2022
Deep learning, stochastic gradient descent and diffusion maps
Journal of Computational Mathematics and Data Science (JCMDS), 2022
Carmina Fjellström
Kaj Nyström
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232
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04 Apr 2022
Balanced Multimodal Learning via On-the-fly Gradient Modulation
Computer Vision and Pattern Recognition (CVPR), 2022
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Yake Wei
Andong Deng
Dong Wang
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29 Mar 2022
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations
International Conference on Learning Representations (ICLR), 2021
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Zhaowei Zhu
Weiran Wang
Tongliang Liu
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Yang Liu
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22 Oct 2021
Review of Kernel Learning for Intra-Hour Solar Forecasting with Infrared Sky Images and Cloud Dynamic Feature Extraction
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On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications
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07 Oct 2021
The Role of Bio-Inspired Modularity in General Learning
Artificial General Intelligence (AGI), 2021
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W. Hahn
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169
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23 Sep 2021
TAG: Task-based Accumulated Gradients for Lifelong learning
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237
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Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
International Conference on Machine Learning (ICML), 2021
Zeke Xie
Li-xin Yuan
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31 Mar 2021
On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective
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Zeke Xie
Zhiqiang Xu
Jingzhao Zhang
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455
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A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
T. Doan
Mehdi Abbana Bennani
Bogdan Mazoure
Guillaume Rabusseau
Pierre Alquier
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457
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Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
Zeke Xie
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29 Jun 2020
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