Inductive Bias of Deep Convolutional Networks through Pooling Geometry

22 May 2016

Papers citing "Inductive Bias of Deep Convolutional Networks through Pooling Geometry"

28 / 28 papers shown

Title
A Tensor Decomposition Perspective on Second-order RNNs M. Lizaire Michael Rizvi-Martel Marawan Gamal Abdel Hameed Guillaume Rabusseau 52 0 0 07 Jun 2024
Neural Redshift: Random Networks are not Random Functions Damien Teney A. Nicolicioiu Valentin Hartmann Ehsan Abbasnejad 103 18 0 04 Mar 2024
YOLOPose V2: Understanding and Improving Transformer-based 6D Pose Estimation Arul Selvam Periyasamy Arash A. Amini Vladimir Tsaturyan Sven Behnke ViT 30 16 0 21 Jul 2023
Forecasting through deep learning and modal decomposition in two-phase concentric jets L. Mata Rodrigo Abadía-Heredia Manuel López Martín J. M. Pérez S. L. Clainche 17 8 0 24 Dec 2022
On the Ability of Graph Neural Networks to Model Interactions Between Vertices Noam Razin Tom Verbin Nadav Cohen 23 10 0 29 Nov 2022
Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training Wenliang Dai Zihan Liu Ziwei Ji Dan Su Pascale Fung MLLM VLM 32 62 0 14 Oct 2022
Frequency Dropout: Feature-Level Regularization via Randomized Filtering Mobarakol Islam Ben Glocker OOD 35 6 0 20 Sep 2022
Transformer Vs. MLP-Mixer: Exponential Expressive Gap For NLP Problems D. Navon A. Bronstein MoE 38 0 0 17 Aug 2022
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks Noam Razin Asaf Maman Nadav Cohen 46 29 0 27 Jan 2022
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images Qin Liu Zhenlin Xu Yining Jiao Marc Niethammer ViT MedIm 49 37 0 21 Dec 2021
Learning with convolution and pooling operations in kernel methods Theodor Misiakiewicz Song Mei MLT 15 29 0 16 Nov 2021
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design Yoav Levine Noam Wies Daniel Jannai D. Navon Yedid Hoshen Amnon Shashua AI4CE 35 36 0 09 Oct 2021
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications Yun Cao Jianxin Wu SSL 31 26 0 17 Jun 2021
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention Noam Wies Yoav Levine Daniel Jannai Amnon Shashua 40 20 0 09 May 2021
Rethinking Spatial Dimensions of Vision Transformers Byeongho Heo Sangdoo Yun Dongyoon Han Sanghyuk Chun Junsuk Choe Seong Joon Oh ViT 362 564 0 30 Mar 2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning Vinay Kumar Verma Kevin J Liang Nikhil Mehta Piyush Rai Lawrence Carin CLL 38 76 0 25 Mar 2021
Entangled q-Convolutional Neural Nets V. Anagiannis Miranda C. N. Cheng 16 5 0 06 Mar 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance) Jan Stanczuk Christian Etmann L. Kreusser Carola-Bibiane Schönlieb GAN 16 48 0 02 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 41 108 0 01 Mar 2021
Computational Separation Between Convolutional and Fully-Connected Networks Eran Malach Shai Shalev-Shwartz 24 26 0 03 Oct 2020
Learning from Protein Structure with Geometric Vector Perceptrons Bowen Jing Stephan Eismann Patricia Suriana Raphael J. L. Townshend R. Dror GNN 3DV 25 471 0 03 Sep 2020
The Depth-to-Width Interplay in Self-Attention Yoav Levine Noam Wies Or Sharir Hofit Bata Amnon Shashua 30 45 0 22 Jun 2020
Implicit Regularization in Deep Learning May Not Be Explainable by Norms Noam Razin Nadav Cohen 24 155 0 13 May 2020
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 35 239 0 11 Jun 2019
Learning Relevant Features of Data with Multi-scale Tensor Networks Tayssir Doghri 25 137 0 31 Dec 2017
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives A. Cichocki Anh-Huy Phan Qibin Zhao Namgil Lee Ivan Oseledets Masashi Sugiyama Danilo P. Mandic 26 296 0 30 Aug 2017
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions Nadav Cohen Or Sharir Yoav Levine Ronen Tamari David Yakira Amnon Shashua 17 38 0 05 May 2017
Generalization Error of Invariant Classifiers Jure Sokolić Raja Giryes Guillermo Sapiro M. Rodrigues 13 77 0 14 Oct 2016