Similarity of Neural Network Representations Revisited

1 May 2019

Papers citing "Similarity of Neural Network Representations Revisited"

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Title
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture S. Qutub Neslihan Kose Rafael Rosales Michael Paulitsch Korbinian Hagn Florian Geissler Yang Peng Gereon Hinz Alois C. Knoll 22 3 0 14 Sep 2023
Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning Zhiwu Qing Shiwei Zhang Ziyuan Huang Yingya Zhang Changxin Gao Deli Zhao Nong Sang 37 18 0 14 Sep 2023
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs Angelica Chen Ravid Schwartz-Ziv Kyunghyun Cho Matthew L. Leavitt Naomi Saphra 29 62 0 13 Sep 2023
Hardening RGB-D Object Recognition Systems against Adversarial Patch Attacks Yang Zheng Christian Scano Antonio Emanuele Cinà Xiaoyi Feng Zhaoqiang Xia Xiaoyue Jiang Ambra Demontis Battista Biggio Fabio Roli AAML 36 2 0 13 Sep 2023
Learning From Drift: Federated Learning on Non-IID Data via Drift Regularization Yeachan Kim Bonggun Shin FedML 29 0 0 13 Sep 2023
Exploring Flat Minima for Domain Generalization with Large Learning Rates Jian Zhang Lei Qi Yinghuan Shi Yang Gao 41 2 0 12 Sep 2023
One Wide Feedforward is All You Need Telmo Pires António V. Lopes Yannick Assogba Hendra Setiawan 48 12 0 04 Sep 2023
SOAR: Scene-debiasing Open-set Action Recognition Yuanhao Zhai Ziyi Liu Zhenyu Wu Yi Wu Chunluan Zhou David Doermann Junsong Yuan Gang Hua 24 11 0 03 Sep 2023
Mode Combinability: Exploring Convex Combinations of Permutation Aligned Models Adrián Csiszárik M. Kiss Péter Korösi-Szabó Márton Muntag Gergely Papp D. Varga MoMe 24 1 0 22 Aug 2023
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning Yun-Hin Chan Rui Zhou Running Zhao Zhihan Jiang Edith C.H. Ngai FedML 38 8 0 22 Aug 2023
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting Qidong Huang Xiaoyi Dong DongDong Chen Yinpeng Chen Lu Yuan Gang Hua Weiming Zhang Neng H. Yu AAML 30 9 0 20 Aug 2023
Geometric instability of graph neural networks on large graphs Emily L Morris Haotian Shen Weiling Du Muhammad Hamza Sajjad Borun Shi GNN 39 0 0 19 Aug 2023
Interpretation on Multi-modal Visual Fusion Hao Chen Hao Zhou Yongjian Deng 39 0 0 19 Aug 2023
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning Filip Szatkowski Mateusz Pyla Marcin Przewiȩźlikowski Sebastian Cygert Bartlomiej Twardowski Tomasz Trzciñski CLL 35 10 0 18 Aug 2023
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation Shengcao Cao Mengtian Li James Hays Deva Ramanan Yu-xiong Wang Liangyan Gui VLM 26 11 0 17 Aug 2023
Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models Phillip Rust Anders Søgaard 33 3 0 17 Aug 2023
Towards Personalized Federated Learning via Heterogeneous Model Reassembly Jiaqi Wang Xingyi Yang Suhan Cui Liwei Che Lingjuan Lyu Dongkuan Xu Fenglong Ma FedML 20 45 0 16 Aug 2023
Radio2Text: Streaming Speech Recognition Using mmWave Radio Signals Running Zhao Jiang-Tao Luca Yu Haiying Zhao Edith C.H. Ngai 32 4 0 16 Aug 2023
Lip2Vec: Efficient and Robust Visual Speech Recognition via Latent-to-Latent Visual to Audio Representation Mapping Y. A. D. Djilali Sanath Narayan Haithem Boussaid Ebtesam Almazrouei Merouane Debbah 37 10 0 11 Aug 2023
Which Tokens to Use? Investigating Token Reduction in Vision Transformers Joakim Bruslund Haurum Sergio Escalera Graham W. Taylor T. Moeslund ViT 51 33 0 09 Aug 2023
The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers Yulan Gao Zhaoxiang Hou Che-Sheng Yang Zengxiang Li Han Yu FedML 27 3 0 07 Aug 2023
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives Chuntao Ding Zhichao Lu Shangguang Wang Ran Cheng Vishnu Boddeti MoMe 31 16 0 03 Aug 2023
LGViT: Dynamic Early Exiting for Accelerating Vision Transformer Guanyu Xu Jiawei Hao Li Shen Han Hu Yong Luo Hui Lin J. Shen 35 15 0 01 Aug 2023
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training Jeya Maria Jose Valanarasu Yucheng Tang Dong Yang Ziyue Xu Can Zhao ... Vishal M. Patel Bennett Landman Daguang Xu Yufan He V. Nath MedIm 25 13 0 31 Jul 2023
Subspace Distillation for Continual Learning Kaushik Roy Christian Simon Peyman Moghadam Mehrtash Harandi CLL 11 10 0 31 Jul 2023
CLIP-KD: An Empirical Study of CLIP Model Distillation Chuanguang Yang Zhulin An Libo Huang Junyu Bi Xinqiang Yu Hansheng Yang Boyu Diao Yongjun Xu VLM 29 27 0 24 Jul 2023
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series Aniruddh Raghu P. Chandak Ridwan Alam John Guttag Collin M. Stultz AI4TS 25 13 0 20 Jul 2023
Diffusion Models Beat GANs on Image Classification Soumik Mukhopadhyay M. Gwilliam Vatsal Agarwal Namitha Padmanabhan A. Swaminathan Srinidhi Hegde Dinesh Manocha Abhinav Shrivastava DiffM 37 45 1 17 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 39 49 0 16 Jul 2023
Revisiting Implicit Models: Sparsity Trade-offs Capability in Weight-tied Model for Vision Tasks Haobo Song Soumajit Majumder Tao R. Lin VLM 38 0 0 16 Jul 2023
Learning Sparse Neural Networks with Identity Layers Mingjian Ni Guangyao Chen Xiawu Zheng Peixi Peng Liuliang Yuan Yonghong Tian 19 0 0 14 Jul 2023
Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks Sriprabha Ramanarayanan Arun Palla Keerthi Ram M. Sivaprakasam 18 10 0 13 Jul 2023
What Happens During Finetuning of Vision Transformers: An Invariance Based Investigation Gabriele Merlin Vedant Nanda Ruchit Rawal Mariya Toneva 28 3 0 12 Jul 2023
Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency Tassilo Wald Constantin Ulrich Fabian Isensee David Zimmerer Gregor Koehler Michael Baumgartner Klaus H. Maier-Hein OOD 28 1 0 05 Jul 2023
Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency Md Abdul Kadir G. Addluri Daniel Sonntag FAtt 27 1 0 05 Jul 2023
What Do Self-Supervised Speech Models Know About Words? Ankita Pasad C. Chien Shane Settle Karen Livescu SSL 46 26 0 30 Jun 2023
Accelerating Molecular Graph Neural Networks via Knowledge Distillation Filip Ekstrom Kelvinius D. Georgiev Artur P. Toshev Johannes Gasteiger 41 7 0 26 Jun 2023
FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation Jingwen Guo Hong Liu Shitong Sun Tianyu Guo Hao Fei Chenyang Si 41 3 0 19 Jun 2023
ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers Ioannis Romanelis Vlassis Fotis Konstantinos Moustakas Adrian Munteanu ViT 3DPC 28 4 0 19 Jun 2023
Partial Hypernetworks for Continual Learning Hamed Hemati Vincenzo Lomonaco D. Bacciu Damian Borth CLL 24 7 0 19 Jun 2023
Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis Andrew Hryniowski Alexander Wong 23 0 0 16 Jun 2023
Rosetta Neurons: Mining the Common Units in a Model Zoo Amil Dravid Yossi Gandelsman Alexei A. Efros Assaf Shocher 25 27 0 15 Jun 2023
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation Zhanke Zhou Chenyu Zhou Xuan Li Jiangchao Yao Quanming Yao Bo Han AAML 42 17 0 15 Jun 2023
Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning Nikhil Vyas Depen Morwani Rosie Zhao Gal Kaplun Sham Kakade Boaz Barak MLT 20 4 0 14 Jun 2023
Understanding the Benefits of Image Augmentations Matthew Iceland Christopher Kanan 37 1 0 09 Jun 2023
On the Joint Interaction of Models, Data, and Features Yiding Jiang Christina Baek J. Zico Kolter FedML 28 4 0 07 Jun 2023
Improving neural network representations using human similarity judgments Lukas Muttenthaler Lorenz Linhardt Jonas Dippel Robert A. Vandermeulen Katherine L. Hermann Andrew Kyle Lampinen Simon Kornblith 50 31 0 07 Jun 2023
Evaluating The Robustness of Self-Supervised Representations to Background/Foreground Removal Xavier F. Cadet Ranya Aloufi A. Miranville S. Ahmadi-Abhari Hamed Haddadi 29 0 0 02 Jun 2023
DistilXLSR: A Light Weight Cross-Lingual Speech Representation Model Haoyu Wang Siyuan Wang Weiqiang Zhang Jinfeng Bai 45 2 0 02 Jun 2023
Examining the Causal Effect of First Names on Language Models: The Case of Social Commonsense Reasoning Sullam Jeoung Jana Diesner H. Kilicoglu LRM 16 5 0 01 Jun 2023