v1v2v3v4 (latest)

Wide Residual Networks

23 May 2016

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown

Title
Directional Pruning of Deep Neural Networks Shih-Kang Chao Zhanyu Wang Yue Xing Guang Cheng ODL 76 33 0 16 Jun 2020
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training Diego Granziol S. Zohren Stephen J. Roberts ODL 148 50 0 16 Jun 2020
Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning Jie An Tao Li Haozhi Huang Li Shen Xuan Wang Yongyi Tang Jinwen Ma Wei Liu Jiebo Luo 3DH 3DPC 93 18 0 16 Jun 2020
CryptoNAS: Private Inference on a ReLU Budget Zahra Ghodsi A. Veldanda Brandon Reagen S. Garg 92 87 0 15 Jun 2020
Feature Space Saturation during Training Mats L. Richter Justin Shenk Wolf Byttner Anders Arpteg Mikael Huss FAtt 62 6 0 15 Jun 2020
Multiscale Deep Equilibrium Models Shaojie Bai V. Koltun J. Zico Kolter BDL 96 212 0 15 Jun 2020
On the training dynamics of deep networks with $L_2$ regularization Aitor Lewkowycz Guy Gur-Ari 113 54 0 15 Jun 2020
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data Zhun Deng Linjun Zhang Amirata Ghorbani James Zou 99 32 0 15 Jun 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 115 103 0 15 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 215 1,648 0 15 Jun 2020
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights Byeongho Heo Sanghyuk Chun Seong Joon Oh Dongyoon Han Sangdoo Yun Gyuwan Kim Youngjung Uh Jung-Woo Ha ODL 380 27 0 15 Jun 2020
GradAug: A New Regularization Method for Deep Neural Networks Taojiannan Yang Sijie Zhu Chong Chen OOD 71 38 0 14 Jun 2020
Meta Approach to Data Augmentation Optimization Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 84 35 0 14 Jun 2020
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks Mojtaba Faramarzi Mohammad Amini Akilesh Badrinaaraayanan Vikas Verma A. Chandar AAML 74 32 0 14 Jun 2020
Generalization by Recognizing Confusion Daniel Chiu Franklyn Wang S. Kominers NoLa 28 0 0 13 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 489 6,871 0 13 Jun 2020
Collegial Ensembles Etai Littwin Ben Myara Sima Sabah J. Susskind Shuangfei Zhai Oren Golan 85 9 0 13 Jun 2020
Adversarial Self-Supervised Contrastive Learning Minseon Kim Jihoon Tack Sung Ju Hwang SSL 96 251 0 13 Jun 2020
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures Jeongun Ryu Jaewoong Shin Haebeom Lee Sung Ju Hwang AAML OOD 50 8 0 13 Jun 2020
Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks Like Hui M. Belkin UQCV AAML VLM 62 172 0 12 Jun 2020
Dynamic Model Pruning with Feedback Tao R. Lin Sebastian U. Stich Luis Barba Daniil Dmitriev Martin Jaggi 165 204 0 12 Jun 2020
Knowledge Distillation Meets Self-Supervision Guodong Xu Ziwei Liu Xiaoxiao Li Chen Change Loy FedML 120 286 0 12 Jun 2020
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation Masahiro Kato Takeshi Teshima 96 36 0 12 Jun 2020
Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks Jonathan Ephrath Lars Ruthotto Eran Treister 52 1 0 11 Jun 2020
Learning to Learn Kernels with Variational Random Features Xiantong Zhen Hao Sun Yingjun Du Jun Xu Yilong Yin Ling Shao Cees G. M. Snoek DRL 72 34 0 11 Jun 2020
On the asymptotics of wide networks with polynomial activations Kyle Aitken Guy Gur-Ari 60 23 0 11 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations Karan Desai Justin Johnson SSL VLM 173 437 0 11 Jun 2020
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond Wenhao Wang Fang Zhao Tianran Ouyang Ling Shao 78 50 0 11 Jun 2020
Hypernetwork-Based Augmentation Chih-Yang Chen Che-Han Chang 61 3 0 11 Jun 2020
Privacy-Aware Activity Classification from First Person Office Videos Partho Ghosh Md. Abrar Istiak Nayeeb Rashid Ahsan Habib Akash Ridwan Abrar Ankan Ghosh Dastider Asif Sushmit Taufiq Hasan PICV 29 2 0 11 Jun 2020
A Probabilistic Model for Discriminative and Neuro-Symbolic Semi-Supervised Learning Carl Allen Ivana Balavzević Timothy M. Hospedales BDL 101 1 0 10 Jun 2020
Deep Dimension Reduction for Supervised Representation Learning Jian Huang Yuling Jiao Xu Liao Jin Liu Zhou Yu DRL 48 16 0 10 Jun 2020
Interferometric Graph Transform: a Deep Unsupervised Graph Representation Edouard Oyallon 110 6 0 10 Jun 2020
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges E. Galván P. Mooney 111 136 0 09 Jun 2020
The Dual Information Bottleneck Zoe Piran Ravid Shwartz-Ziv Naftali Tishby 72 15 0 08 Jun 2020
Passive Batch Injection Training Technique: Boosting Network Performance by Injecting Mini-Batches from a different Data Distribution Pravendra Singh Pratik Mazumder Vinay P. Namboodiri 42 0 0 08 Jun 2020
Deep Goal-Oriented Clustering Yifeng Shi Christopher M. Bender Junier B. Oliva Marc Niethammer 23 0 0 07 Jun 2020
Peer Collaborative Learning for Online Knowledge Distillation Guile Wu S. Gong FedML 74 133 0 07 Jun 2020
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles Zhennan Wang Canqun Xiang Wenbin Zou Chen Xu 100 19 0 06 Jun 2020
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 80 168 0 06 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 160 100 0 05 Jun 2020
Discovering Parametric Activation Functions G. Bingham Risto Miikkulainen ODL 74 73 0 05 Jun 2020
Towards Understanding Fast Adversarial Training Bai Li Shiqi Wang Suman Jana Lawrence Carin AAML 78 50 0 04 Jun 2020
Weight Pruning via Adaptive Sparsity Loss George Retsinas Athena Elafrou G. Goumas Petros Maragos 64 10 0 04 Jun 2020
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images S. Chatterjee Fatima Saad Chompunuch Sarasaen Suhita Ghosh Valerie Krug ... Petia Radeva G. Rose Sebastian Stober Oliver Speck A. Nürnberger 104 26 0 03 Jun 2020
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution Siyuan Qiao Liang-Chieh Chen Alan Yuille ObjD 130 777 0 03 Jun 2020
Consistent Estimators for Learning to Defer to an Expert Hussein Mozannar David Sontag 91 205 0 02 Jun 2020
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization A. Uddin Sirazam Monira Wheemyung Shin TaeChoong Chung Sung-Ho Bae 107 229 0 02 Jun 2020
Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods Kyungmi Lee A. Chandrakasan ELM AAML 69 3 0 01 Jun 2020
A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Xiaojiang Chen Xin Wang AI4CE 147 684 0 01 Jun 2020