Identity Mappings in Deep Residual Networks

16 March 2016

Papers citing "Identity Mappings in Deep Residual Networks"

50 / 1,683 papers shown

Title
Vector Quantisation for Robust Segmentation Ainkaran Santhirasekaram Avinash Kori Mathias Winkler A. Rockall Ben Glocker OOD 44 9 0 05 Jul 2022
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models Ainkaran Santhirasekaram Avinash Kori A. Rockall Mathias Winkler Francesca Toni Ben Glocker FAtt 50 4 0 05 Jul 2022
Spatial-Temporal Frequency Forgery Clue for Video Forgery Detection in VIS and NIR Scenario Yukai Wang Chunlei Peng Decheng Liu N. Wang Xinbo Gao 62 15 0 05 Jul 2022
ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion Prediction in Autonomous Driving Application Zhiyu Huang Xiaoyu Mo Chen Lv 34 17 0 02 Jul 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 54 0 0 27 Jun 2022
Compressing Features for Learning with Noisy Labels Yingyi Chen S. Hu Xin Shen C. Ai Johan A. K. Suykens NoLa 29 13 0 27 Jun 2022
Zero Stability Well Predicts Performance of Convolutional Neural Networks Liangming Chen Long Jin Mingsheng Shang MLT 32 8 0 27 Jun 2022
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning Baoyuan Wu Hongrui Chen Ruotong Wang Zihao Zhu Shaokui Wei Danni Yuan Chaoxiao Shen ELM AAML 43 140 0 25 Jun 2022
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets Lily H. Zhang Veronica Tozzo J. Higgins Rajesh Ranganath BDL MoE 24 17 0 23 Jun 2022
Monocular Spherical Depth Estimation with Explicitly Connected Weak Layout Cues N. Zioulis Federico Álvarez D. Zarpalas P. Daras 3DV MDE 34 2 0 22 Jun 2022
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models Liu Zhendong Wenyu Jiang Yan Zhang Chongjun Wang CML 23 0 0 22 Jun 2022
When Does Re-initialization Work? Sheheryar Zaidi Tudor Berariu Hyunjik Kim J. Bornschein Claudia Clopath Yee Whye Teh Razvan Pascanu 48 10 0 20 Jun 2022
Demystifying the Adversarial Robustness of Random Transformation Defenses Chawin Sitawarin Zachary Golan-Strieb David Wagner AAML 25 20 0 18 Jun 2022
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning Javier Antorán David Janz J. Allingham Erik A. Daxberger Riccardo Barbano Eric T. Nalisnick José Miguel Hernández-Lobato UQCV BDL 48 29 0 17 Jun 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification Aliaksandra Shysheya J. Bronskill Massimiliano Patacchiola Sebastian Nowozin Richard Turner 3DH FedML 55 28 0 17 Jun 2022
Realistic One-shot Mesh-based Head Avatars Taras Khakhulin V. Sklyarova Victor Lempitsky Egor Zakharov 3DH 53 97 0 16 Jun 2022
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge Dingcheng Yang Zihao Xiao Wenjian Yu AAML 41 5 0 16 Jun 2022
Switchable Representation Learning Framework with Self-compatibility Shengsen Wu Yan Bai Yihang Lou Xiongkun Linghu Jianzhong He Ling-yu Duan 35 1 0 16 Jun 2022
On Calibrated Model Uncertainty in Deep Learning Biraja Ghoshal A. Tucker UQCV MedIm 30 10 0 15 Jun 2022
Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction Kaifeng Lyu Zhiyuan Li Sanjeev Arora FAtt 54 71 0 14 Jun 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 31 40 0 14 Jun 2022
Scaling ResNets in the Large-depth Regime Pierre Marion Adeline Fermanian Gérard Biau Jean-Philippe Vert 34 16 0 14 Jun 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale Gaoyuan Zhang Songtao Lu Yihua Zhang Xiangyi Chen Pin-Yu Chen Quanfu Fan Lee Martie L. Horesh Min-Fong Hong Sijia Liu OOD 40 12 0 13 Jun 2022
Towards Understanding Sharpness-Aware Minimization Maksym Andriushchenko Nicolas Flammarion AAML 49 135 0 13 Jun 2022
GPU-Accelerated Machine Learning in Non-Orthogonal Multiple Access Daniel Schäufele Guillermo Marcus Nikolaus Binder Matthias Mehlhose Alexander Keller S. Stańczak 18 1 0 13 Jun 2022
Large-Scale Retrieval for Reinforcement Learning Peter C. Humphreys A. Guez O. Tieleman Laurent Sifre T. Weber Timothy Lillicrap RALM OffRL 45 26 0 10 Jun 2022
Meta Optimal Transport Brandon Amos Samuel N. Cohen Giulia Luise I. Redko OT 62 22 0 10 Jun 2022
ReFace: Real-time Adversarial Attacks on Face Recognition Systems Shehzeen Samarah Hussain Todd P. Huster Chris Mesterharm Paarth Neekhara Kevin R. An Malhar Jere Harshvardhan Digvijay Sikka F. Koushanfar AAML 34 6 0 09 Jun 2022
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics Maya Pavlova Tia Tuinstra Hossein Aboutalebi Andy Zhao Hayden Gunraj Alexander Wong 34 12 0 08 Jun 2022
Adversarial Reprogramming Revisited Matthias Englert R. Lazic AAML 40 9 0 07 Jun 2022
Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data H. Yuan Shing Chan Andrew P. Creagh C. Tong Aidan Acquah David Clifton Aiden Doherty SSL 49 82 0 06 Jun 2022
Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training Guodong Cao Peng Kuang Xiaowei Dong Zhifei Zhang Hengchang Guo Zhan Qin Kui Ren AAML 30 1 0 05 Jun 2022
Entangled Residual Mappings Mathias Lechner Ramin Hasani Z. Babaiee Radu Grosu Daniela Rus T. Henzinger Sepp Hochreiter 24 5 0 02 Jun 2022
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping Junlin Han L. Petersson Hongdong Li Ian Reid 48 9 0 31 May 2022
Few-Shot Unlearning by Model Inversion Youngsik Yoon Jinhwan Nam Hyojeong Yun Jaeho Lee Dongwoo Kim Jungseul Ok MU 42 17 0 31 May 2022
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? Michael E. Sander Pierre Ablin Gabriel Peyré 55 25 0 29 May 2022
Face Morphing: Fooling a Face Recognition System Is Simple! S. Hörmann Tianlin Kong Torben Teepe Fabian Herzog Martin Knoche Gerhard Rigoll AAML CVBM 41 1 0 27 May 2022
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning Zhenting Wang Juan Zhai Shiqing Ma AAML 139 98 0 26 May 2022
COVID-19 Severity Classification on Chest X-ray Images Aditi Sagar Aman Swaraj Karan Verma 44 1 0 25 May 2022
Augmentation-induced Consistency Regularization for Classification Jianguo Wu Shijing Si Jianzong Wang Jing Xiao 26 2 0 25 May 2022
Privacy-Preserving Image Classification Using Vision Transformer Zheng Qi AprilPyone Maungmaung Yuma Kinoshita Hitoshi Kiya ViT 42 19 0 24 May 2022
Squeeze Training for Adversarial Robustness Qizhang Li Yiwen Guo W. Zuo Hao Chen OOD 71 9 0 23 May 2022
Temporally Precise Action Spotting in Soccer Videos Using Dense Detection Anchors J. C. V. Soares Avijit Shah Topojoy Biswas 56 32 0 20 May 2022
How Useful are Gradients for OOD Detection Really? Conor Igoe Youngseog Chung I. Char J. Schneider OODD 52 23 0 20 May 2022
Swapping Semantic Contents for Mixing Images Rémy Sun Clément Masson Gilles Hénaff Nicolas Thome Matthieu Cord 28 2 0 20 May 2022
Towards efficient feature sharing in MIMO architectures Rémy Sun Alexandre Ramé Clément Masson Nicolas Thome Matthieu Cord 78 6 0 20 May 2022
RandoMix: A mixed sample data augmentation method with multiple mixed modes Xiaoliang Liu Furao Shen Jian Zhao Changhai Nie 18 15 0 18 May 2022
Sparse Visual Counterfactual Explanations in Image Space Valentyn Boreiko Maximilian Augustin Francesco Croce Philipp Berens Matthias Hein BDL CML 60 27 0 16 May 2022
Robust Representation via Dynamic Feature Aggregation Haozhe Liu Haoqin Ji Yuexiang Li Nanjun He Haoqian Wu Feng Liu Linlin Shen Yefeng Zheng AAML OOD 51 3 0 16 May 2022
Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks Bum Jun Kim Hyeyeon Choi Hyeonah Jang Dong Gu Lee Wonseok Jeong Sang Woo Kim 28 4 0 15 May 2022