2024 "convolutional neural networks" Papers
17 papers found
A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural Networks
Boqi Li, Weiwei Liu
ICML 2024spotlight
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN
Minsoo Kang, Minkoo Kang, Suhyun Kim
AAAI 2024paperarXiv:2401.13193
7
citations
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
Kirill Vishniakov, Zhiqiang Shen, Zhuang Liu
ICML 2024poster
Entropy Induced Pruning Framework for Convolutional Neural Networks
Yiheng Lu, Ziyu Guan, Yaming Yang et al.
AAAI 2024paperarXiv:2208.06660
6
citations
FedHARM: Harmonizing Model Architectural Diversity in Federated Learning
Anestis Kastellos, Athanasios Psaltis, Charalampos Z Patrikakis et al.
ECCV 2024poster
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model
Umberto Tomasini, Matthieu Wyart
ICML 2024spotlight
Is Kernel Prediction More Powerful than Gating in Convolutional Neural Networks?
Lorenz K. Muller
ICML 2024poster
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning
Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann et al.
AAAI 2024paperarXiv:2312.09783
8
citations
Make RepVGG Greater Again: A Quantization-Aware Approach
Xuesong Nie, Yunfeng Yan, Siyuan Li et al.
AAAI 2024paperarXiv:2212.01593
65
citations
Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks
AAAI 2024paperarXiv:2403.08157
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
Tom Fischer, Pascal Peter, Joachim Weickert et al.
ICML 2024poster
Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective
Yajie Bao, Michael Crawshaw, Mingrui Liu
ICML 2024poster
ResDiff: Combining CNN and Diffusion Model for Image Super-resolution
Shuyao Shang, Zhengyang Shan, Guangxing Liu et al.
AAAI 2024paperarXiv:2303.08714
139
citations
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness
Honghao Chen, Zhang Yurong, xiaokun Feng et al.
ICML 2024poster
Sample-specific Masks for Visual Reprogramming-based Prompting
Chengyi Cai, Zesheng Ye, Lei Feng et al.
ICML 2024spotlight
Targeted Activation Penalties Help CNNs Ignore Spurious Signals
Dekai Zhang, Matt Williams, Francesca Toni
AAAI 2024paperarXiv:2311.12813
3
citations
Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning
Yuxiao Wen, Arthur Jacot
ICML 2024poster