Similarity of Neural Network Representations Revisited

1 May 2019

Papers citing "Similarity of Neural Network Representations Revisited"

50 / 835 papers shown

Title
Continual Learning with Neuron Activation Importance Sohee Kim Seungkyu Lee CLL 16 2 0 27 Jul 2021
Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization Chiyuan Zhang M. Raghu Jon M. Kleinberg Samy Bengio OOD 32 30 0 27 Jul 2021
Taxonomizing local versus global structure in neural network loss landscapes Yaoqing Yang Liam Hodgkinson Ryan Theisen Joe Zou Joseph E. Gonzalez Kannan Ramchandran Michael W. Mahoney 40 36 0 23 Jul 2021
A Channel Coding Benchmark for Meta-Learning Rui Li Ondrej Bohdal Rajesh K. Mishra Hyeji Kim Da Li Nicholas D. Lane Timothy M. Hospedales 31 9 0 15 Jul 2021
Layer-wise Analysis of a Self-supervised Speech Representation Model Ankita Pasad Ju-Chieh Chou Karen Livescu SSL 26 288 0 10 Jul 2021
EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli Classification Subhranil Bagchi Deepti R. Bathula ViT 26 10 0 08 Jul 2021
Subspace Clustering Based Analysis of Neural Networks Uday Singh Saini Pravallika Devineni Evangelos E. Papalexakis GNN 14 1 0 02 Jul 2021
Disentangling Transfer and Interference in Multi-Domain Learning Yipeng Zhang Tyler L. Hayes Christopher Kanan 48 3 0 02 Jul 2021
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework Zhen Huang Xu Shen Jun Xing Tongliang Liu Xinmei Tian Houqiang Li Bing Deng Jianqiang Huang Xiansheng Hua 28 27 0 01 Jul 2021
Federated Noisy Client Learning Huazhu Fu Li Li Bo Han Chengzhong Xu Ling Shao FedML 28 26 0 24 Jun 2021
ImageNet Pre-training also Transfers Non-Robustness Jiaming Zhang Jitao Sang Qiaomin Yi Yunfan Yang Huiwen Dong Jian Yu 45 1 0 21 Jun 2021
Joining datasets via data augmentation in the label space for neural networks Jake Zhao Mingfeng Ou Linji Xue Yunkai Cui Sai Wu Gang Chen 18 2 0 17 Jun 2021
Simon Says: Evaluating and Mitigating Bias in Pruned Neural Networks with Knowledge Distillation Cody Blakeney Nathaniel Huish Yan Yan Ziliang Zong 15 18 0 15 Jun 2021
Canonical Face Embeddings David G. McNeely-White Benjamin Sattelberg Nathaniel Blanchard Ross Beveridge CVBM 32 7 0 15 Jun 2021
Revisiting Model Stitching to Compare Neural Representations Yamini Bansal Preetum Nakkiran Boaz Barak FedML 44 105 0 14 Jun 2021
HistoTransfer: Understanding Transfer Learning for Histopathology Yash Sharma L. Ehsan Sana Syed Donald E. Brown MedIm 29 21 0 13 Jun 2021
LENAS: Learning-based Neural Architecture Search and Ensemble for 3D Radiotherapy Dose Prediction Yi Lin Yanfei Liu Hao-tao Chen Xin Yang Kai Ma Yefeng Zheng Kwang-Ting Cheng 3DV 26 4 0 12 Jun 2021
ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection Yuanchun Li Ziqi Zhang Bingyan Liu Ziyue Yang Yunxin Liu 13 53 0 11 Jun 2021
Does Knowledge Distillation Really Work? Samuel Stanton Pavel Izmailov Polina Kirichenko Alexander A. Alemi A. Wilson FedML 24 215 0 10 Jun 2021
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses Richard Antonello Javier S. Turek Vy A. Vo Alexander G. Huth 28 37 0 09 Jun 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data Mi Luo Fei Chen Dapeng Hu Yifan Zhang Jian Liang Jiashi Feng FedML 39 328 0 09 Jun 2021
FEAR: A Simple Lightweight Method to Rank Architectures Debadeepta Dey Shital C. Shah Sébastien Bubeck OOD 30 4 0 07 Jun 2021
Refiner: Refining Self-attention for Vision Transformers Daquan Zhou Yujun Shi Bingyi Kang Weihao Yu Zihang Jiang Yuan Li Xiaojie Jin Qibin Hou Jiashi Feng ViT 29 59 0 07 Jun 2021
Topological Measurement of Deep Neural Networks Using Persistent Homology Satoru Watanabe Hayato Yamana 21 16 0 06 Jun 2021
Dynamics of specialization in neural modules under resource constraints Gabriel Béna Dan F. M. Goodman 26 0 0 04 Jun 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 31 43 0 03 Jun 2021
On the geometry of generalization and memorization in deep neural networks Cory Stephenson Suchismita Padhy Abhinav Ganesh Yue Hui Hanlin Tang SueYeon Chung TDI AI4CE 24 73 0 30 May 2021
Properties of the After Kernel Philip M. Long 24 29 0 21 May 2021
DirectQE: Direct Pretraining for Machine Translation Quality Estimation Qu Cui Shujian Huang Jiahuan Li Xiang Geng Zaixiang Zheng Guoping Huang Jiajun Chen 29 24 0 15 May 2021
Exploring the Similarity of Representations in Model-Agnostic Meta-Learning Thomas Goerttler Klaus Obermayer 13 4 0 12 May 2021
How Well Does Self-Supervised Pre-Training Perform with Streaming Data? Dapeng Hu Shipeng Yan Qizhengqiu Lu Lanqing Hong Hailin Hu Yifan Zhang Zhenguo Li Xinchao Wang Jiashi Feng 53 28 0 25 Apr 2021
A Framework using Contrastive Learning for Classification with Noisy Labels Madalina Ciortan R. Dupuis Thomas Peel VLM NoLa 21 12 0 19 Apr 2021
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts Song Park Sanghyuk Chun Junbum Cha Bado Lee Hyunjung Shim 44 63 0 02 Apr 2021
Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search Dylan R. Ashley Anssi Kanervisto Brendan Bennett 19 2 0 01 Apr 2021
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness Zhuolin Yang Linyi Li Xiaojun Xu Shiliang Zuo Qiang Chen Benjamin I. P. Rubinstein Pan Zhou Ce Zhang Bo-wen Li AAML 18 53 0 01 Apr 2021
One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking Minghao Chen Houwen Peng Jianlong Fu Haibin Ling 21 19 0 01 Apr 2021
Contrasting Contrastive Self-Supervised Representation Learning Pipelines Klemen Kotar Gabriel Ilharco Ludwig Schmidt Kiana Ehsani Roozbeh Mottaghi SSL 33 45 0 25 Mar 2021
Universal Representation Learning from Multiple Domains for Few-shot Classification Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 30 84 0 25 Mar 2021
A Broad Study on the Transferability of Visual Representations with Contrastive Learning Ashraful Islam Chun-Fu Chen Yikang Shen Leonid Karlinsky Richard J. Radke Rogerio Feris SSL 29 112 0 24 Mar 2021
Nondeterminism and Instability in Neural Network Optimization Cecilia Summers M. Dinneen 22 38 0 08 Mar 2021
Semi-Supervised Federated Peer Learning for Skin Lesion Classification T. Bdair Nassir Navab Shadi Albarqouni FedML 21 12 0 05 Mar 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models Qing Jin Jian Ren Oliver J. Woodford Jiazhuo Wang Geng Yuan Yanzhi Wang Sergey Tulyakov 39 54 0 05 Mar 2021
PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation Reyhan Kevser Keser Aydin Ayanzadeh O. A. Aghdam Çaglar Kilcioglu B. U. Toreyin N. K. Üre 29 6 0 26 Feb 2021
Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation Xiaoyang Qu Jianzong Wang Jing Xiao 18 14 0 23 Feb 2021
The Uncanny Similarity of Recurrence and Depth Avi Schwarzschild Arjun Gupta Amin Ghiasi Micah Goldblum Tom Goldstein 31 10 0 22 Feb 2021
Does the Adam Optimizer Exacerbate Catastrophic Forgetting? Dylan R. Ashley Sina Ghiassian R. Sutton AAML 14 7 0 15 Feb 2021
Semantically-Conditioned Negative Samples for Efficient Contrastive Learning J. Ó. Neill Danushka Bollegala 30 6 0 12 Feb 2021
Learning Student-Friendly Teacher Networks for Knowledge Distillation D. Park Moonsu Cha C. Jeong Daesin Kim Bohyung Han 121 101 0 12 Feb 2021
Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 26 13 0 09 Feb 2021
How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation Ekdeep Singh Lubana Puja Trivedi Danai Koutra Robert P. Dick 35 11 0 04 Feb 2021