Convolutional Neural Networks Analyzed via Convolutional Sparse Coding

27 July 2016

Papers citing "Convolutional Neural Networks Analyzed via Convolutional Sparse Coding"

50 / 120 papers shown

Title
Hyperspherical Energy Transformer with Recurrent Depth Yunzhe Hu Difan Zou Dong Xu 31 0 0 17 Feb 2025
SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition Alaa Nfissi W. Bouachir Nizar Bouguila Brian Mishara 57 0 0 01 Feb 2025
Efficient Reinforcement Learning for Optimal Control with Natural Images Peter N. Loxley 59 0 0 12 Dec 2024
l0-Regularized Sparse Coding-based Interpretable Network for Multi-Modal Image Fusion Gargi Panda Soumitra Kundu Saumik Bhattacharya Aurobinda Routray 18 0 0 07 Nov 2024
Convergence Analysis for Deep Sparse Coding via Convolutional Neural Networks Jianfei Li Han Feng Ding-Xuan Zhou 19 0 0 10 Aug 2024
Pivotal Auto-Encoder via Self-Normalizing ReLU Nelson Goldenstein Jeremias Sulam Yaniv Romano 24 2 0 23 Jun 2024
IB-AdCSCNet:Adaptive Convolutional Sparse Coding Network Driven by Information Bottleneck He Zou Mengén Qin Yu Song Xiaohui Yang 23 0 0 23 May 2024
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models Song Mei 3DV AI4CE DiffM 21 11 0 29 Apr 2024
Large Convolutional Model Tuning via Filter Subspace Wei Chen Zichen Miao Qiang Qiu 43 3 0 01 Mar 2024
Medical Image Segmentation via Sparse Coding Decoder Long Zeng Kaigui Wu MedIm 6 3 0 17 Oct 2023
Signature Activation: A Sparse Signal View for Holistic Saliency José Roberto Tello-Ayala A. Fahed Weiwei Pan E. Pomerantsev P. Ellinor Anthony Philippakis Finale Doshi-Velez MedIm FAtt 6 0 0 20 Sep 2023
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models Song Mei Yuchen Wu DiffM 13 26 0 20 Sep 2023
A signal processing interpretation of noise-reduction convolutional neural networks Luis A. Zavala-Mondragón Peter H. N. de With Fons van der Sommen 14 0 0 25 Jul 2023
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression Yihao Xue S. Joshi Eric Gan Pin-Yu Chen Baharan Mirzasoleiman SSL 15 22 0 25 May 2023
Reverse Engineering Self-Supervised Learning Ido Ben-Shaul Ravid Shwartz-Ziv Tomer Galanti S. Dekel Yann LeCun SSL 8 34 0 24 May 2023
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings Yihao Xue Ali Payani Yu Yang Baharan Mirzasoleiman VLM 13 4 0 23 May 2023
CQnet: convex-geometric interpretation and constraining neural-network trajectories B. Peters 13 0 0 09 Feb 2023
Revisiting Sparse Convolutional Model for Visual Recognition Xili Dai Mingyang Li Pengyuan Zhai Shengbang Tong Xingjian Gao Shao-Lun Huang Zhihui Zhu Chong You Y. Ma FAtt 18 14 0 24 Oct 2022
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers Zong-xiao Li Chong You Srinadh Bhojanapalli Daliang Li A. S. Rawat ... Kenneth Q Ye Felix Chern Felix X. Yu Ruiqi Guo Surinder Kumar MoE 13 61 0 12 Oct 2022
Toward an Over-parameterized Direct-Fit Model of Visual Perception X. Li 10 0 0 07 Oct 2022
Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets Deborah Pereg M. Villiger B. Bouma Polina Golland 17 3 0 28 Sep 2022
A convolutional plane wave model for sound field reconstruction Manuel Hahmann Efren Fernandez-Grande 15 6 0 24 Aug 2022
Neural Implicit Dictionary via Mixture-of-Expert Training Peihao Wang Zhiwen Fan Tianlong Chen Zhangyang Wang 6 12 0 08 Jul 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective Zepeng Zhang Ziping Zhao AI4CE 14 4 0 09 Jun 2022
Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness Dávid Szeghy Mahmoud Aslan Á. Fóthi Balázs Mészáros Z. '. Milacski András Lőrincz AAML 8 0 0 05 May 2022
WSEBP: A Novel Width-depth Synchronous Extension-based Basis Pursuit Algorithm for Multi-Layer Convolutional Sparse Coding Haitong Tang Shuang He Ling-Yan Bian Zhiming Cui Ni-zhuan Wang 8 1 0 28 Mar 2022
On the Implicit Bias Towards Minimal Depth of Deep Neural Networks Tomer Galanti Liane Galanti Ido Ben-Shaul 9 12 0 18 Feb 2022
High Fidelity 3D Reconstructions with Limited Physical Views Mosam Dabhi Chaoyang Wang Kunal Saluja László A. Jeni Ian R. Fasel Simon Lucey 12 4 0 22 Oct 2021
Deep learning based dictionary learning and tomographic image reconstruction Jevgenija Rudzusika Thomas Koehler Ozan Oktem 40 2 0 26 Aug 2021
Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization Difan Zou Yuan Cao Yuanzhi Li Quanquan Gu MLT AI4CE 21 37 0 25 Aug 2021
A Sparse Coding Interpretation of Neural Networks and Theoretical Implications Joshua Bowren FAtt 13 1 0 14 Aug 2021
CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation Haitong Tang Shuang He Mengduo Yang Xia Lu Qin Yu Kaiyue Liu Hongjie Yan Ni-zhuan Wang SSeg 14 7 0 01 Aug 2021
Convolutional Sparse Coding Fast Approximation with Application to Seismic Reflectivity Estimation Deborah Pereg Israel Cohen A. Vassiliou 18 5 0 29 Jun 2021
Learned Interpretable Residual Extragradient ISTA for Sparse Coding Lin Kong Wei Sun Fanhua Shang Yuanyuan Liu Hongying Liu 6 0 0 22 Jun 2021
Sparsity-Probe: Analysis tool for Deep Learning Models Ido Ben-Shaul S. Dekel 8 4 0 14 May 2021
Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series Gabriel Michau Gaetan Frusque Olga Fink AI4TS 12 57 0 03 May 2021
Improved Image Generation via Sparse Modeling Roy Ganz Michael Elad 6 1 0 01 Apr 2021
Neural Response Interpretation through the Lens of Critical Pathways Ashkan Khakzar Soroosh Baselizadeh Saurabh Khanduja Christian Rupprecht Seong Tae Kim Nassir Navab 21 32 0 31 Mar 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 17 183 0 23 Mar 2021
Reframing Neural Networks: Deep Structure in Overcomplete Representations Calvin Murdock George Cazenavette Simon Lucey BDL 28 4 0 10 Mar 2021
Maximal function pooling with applications W. Czaja Weilin Li Yiran Li M. Pekala 12 2 0 01 Mar 2021
A Mathematical Principle of Deep Learning: Learn the Geodesic Curve in the Wasserstein Space Kuo Gai Shihua Zhang 18 6 0 18 Feb 2021
Enhancing efficiency of object recognition in different categorization levels by reinforcement learning in modular spiking neural networks Fatemeh Sharifizadeh M. Ganjtabesh A. Nowzari-Dalini 17 0 0 10 Feb 2021
Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem Matthew J. Colbrook Vegard Antun A. Hansen 52 128 0 20 Jan 2021
Convex Regularization Behind Neural Reconstruction Arda Sahiner Morteza Mardani Batu Mehmet Ozturkler Mert Pilanci John M. Pauly 19 24 0 09 Dec 2020
Tensor Completion via Convolutional Sparse Coding Regularization Zhebin Wu Tianchi Liao Chuan Chen Cong Liu Zibin Zheng Xiongjun Zhang 6 0 0 02 Dec 2020
Architectural Adversarial Robustness: The Case for Deep Pursuit George Cazenavette Calvin Murdock Simon Lucey AAML 18 23 0 29 Nov 2020
Learning Multiscale Convolutional Dictionaries for Image Reconstruction Tianlin Liu Anadi Chaman David Belius Ivan Dokmanić 11 27 0 25 Nov 2020
Discriminative Localized Sparse Representations for Breast Cancer Screening S. Makrogiannis Chelsea E. Harris Keni Zheng 10 0 0 20 Nov 2020
Deep Networks from the Principle of Rate Reduction Kwan Ho Ryan Chan Yaodong Yu Chong You Haozhi Qi John N. Wright Yi-An Ma 6 21 0 27 Oct 2020