Similarity of Neural Network Representations Revisited

1 May 2019

Papers citing "Similarity of Neural Network Representations Revisited"

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Title
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients Xinchi Qiu Yan Gao Lorenzo Sani Heng Pan Wanru Zhao Pedro Gusmão Mina Alibeigi Alexandru Iacob Nicholas D. Lane FedML 55 3 0 15 Feb 2024
Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning Yuxiao Wen Arthur Jacot 60 6 0 12 Feb 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning Wei-Cheng Huang Chun-Fu Chen Hsiang Hsu VLM 28 11 0 06 Feb 2024
Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing Jongmin Yu Chen Bene Chi S. Fichera Paolo Paoletti Devansh Mehta Shan Luo 33 1 0 06 Feb 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem Maciej Wolczyk Bartłomiej Cupiał M. Ostaszewski Michal Bortkiewicz Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL 48 13 0 05 Feb 2024
Revisiting the Power of Prompt for Visual Tuning Yuzhu Wang Lechao Cheng Chaowei Fang Dingwen Zhang Manni Duan Meng Wang VLM 56 14 0 04 Feb 2024
Mapping the Multiverse of Latent Representations Jeremy Wayland Corinna Coupette Bastian Alexander Rieck 58 7 0 02 Feb 2024
Benchmarking Spiking Neural Network Learning Methods with Varying Locality Jiaqi Lin Sen Lu Malyaban Bal Abhronil Sengupta 27 2 0 01 Feb 2024
Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Brain Gavin Mischler Yinghao Aaron Li Stephan Bickel A. Mehta N. Mesgarani 30 23 0 31 Jan 2024
What Do Self-Supervised Speech and Speaker Models Learn? New Findings From a Cross Model Layer-Wise Analysis Takanori Ashihara Marc Delcroix Takafumi Moriya Kohei Matsuura Taichi Asami Yusuke Ijima SSL 24 7 0 31 Jan 2024
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing Sheng Li Geng Yuan Yuezhen Dai Youtao Zhang Yanzhi Wang Xulong Tang 31 18 0 30 Jan 2024
EdgeOL: Efficient in-situ Online Learning on Edge Devices Sheng Li Geng Yuan Yawen Wu Yuezhen Dai Chao Wu Alex K. Jones Jingtong Hu Yanzhi Wang Xulong Tang 41 0 0 30 Jan 2024
Toward the Identifiability of Comparative Deep Generative Models Romain Lopez Jan-Christian Huetter Ehsan Hajiramezanali Jonathan Pritchard Aviv Regev 23 2 0 29 Jan 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training Shruthi Gowda Bahram Zonooz Elahe Arani AAML 31 2 0 26 Jan 2024
Looking Right is Sometimes Right: Investigating the Capabilities of Decoder-only LLMs for Sequence Labeling David Dukić Jan Šnajder 24 13 0 25 Jan 2024
Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention Quang-Trung Truong Duc Thanh Nguyen Binh-Son Hua Sai-Kit Yeung VOS 34 1 0 25 Jan 2024
Task structure and nonlinearity jointly determine learned representational geometry Matteo Alleman Jack W. Lindsey Stefano Fusi 38 8 0 24 Jan 2024
Universal Neurons in GPT2 Language Models Wes Gurnee Theo Horsley Zifan Carl Guo Tara Rezaei Kheirkhah Qinyi Sun Will Hathaway Neel Nanda Dimitris Bertsimas MILM 102 37 0 22 Jan 2024
Rethinking Centered Kernel Alignment in Knowledge Distillation Zikai Zhou Yunhang Shen Shitong Shao Linrui Gong Shaohui Lin 24 1 0 22 Jan 2024
Improving Local Training in Federated Learning via Temperature Scaling Kichang Lee Songkuk Kim Jeonggil Ko FedML 35 1 0 18 Jan 2024
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks Jing Wu Mehrtash Harandi 31 14 0 11 Jan 2024
Do Vision and Language Encoders Represent the World Similarly? Mayug Maniparambil Raiymbek Akshulakov Y. A. D. Djilali Sanath Narayan M. Seddik K. Mangalam Noel E. O'Connor VLM 29 11 0 10 Jan 2024
Concept Alignment Sunayana Rane Polyphony J. Bruna Ilia Sucholutsky Christopher Kello Thomas Griffiths CVBM 39 7 0 09 Jan 2024
MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer Haotian Ye Yihong Liu Chunlan Ma Hinrich Schütze 25 1 0 09 Jan 2024
Refining Remote Photoplethysmography Architectures using CKA and Empirical Methods Nathan Vance Patrick Flynn 22 1 0 09 Jan 2024
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning Haiyang Guo Fei Zhu Wenzhuo Liu Xu-Yao Zhang Cheng-Lin Liu CLL 35 6 0 04 Jan 2024
Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data Sofia Yfantidou Dimitris Spathis Marios Constantinides Athena Vakali Daniele Quercia F. Kawsar 55 2 0 03 Jan 2024
LEFL: Low Entropy Client Sampling in Federated Learning Waqwoya Abebe J. P. Muñoz Ali Jannesari FedML 32 0 0 29 Dec 2023
MIM4DD: Mutual Information Maximization for Dataset Distillation Yuzhang Shang Zhihang Yuan Yan Yan DD 43 14 0 27 Dec 2023
Revisiting Knowledge Distillation under Distribution Shift Songming Zhang Ziyu Lyu Xiaofeng Chen 32 1 0 25 Dec 2023
DCFL: Non-IID awareness Data Condensation aided Federated Learning Shaohan Sha YaFeng Sun FedML DD 34 0 0 21 Dec 2023
NodeMixup: Tackling Under-Reaching for Graph Neural Networks Weigang Lu Ziyu Guan Wei Zhao Yaming Yang Long Jin 34 11 0 20 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 49 2 0 19 Dec 2023
Weight-Entanglement Meets Gradient-Based Neural Architecture Search R. Sukthanker Arjun Krishnakumar Mahmoud Safari Frank Hutter 42 3 0 16 Dec 2023
Fragility, Robustness and Antifragility in Deep Learning Chandresh Pravin Ivan Martino Giuseppe Nicosia Varun Ojha 29 0 0 15 Dec 2023
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data Jiangming Shi Shanshan Zheng Xiangbo Yin Yang Lu Yuan Xie Yanyun Qu VLM FedML 52 10 0 14 Dec 2023
The unreasonable effectiveness of AI CADe polyp detectors to generalize to new countries Joel Shor H. Yamano Daisuke Tsurumaru Yotam Intrator Hiroki Kayama ... Kaho Kobayashi Eiji Oki Roman Goldenberg Ehud Rivlin Ichiro Takemasa CML 32 0 0 11 Dec 2023
Exploring Sparsity in Graph Transformers Chuang Liu Yibing Zhan Xueqi Ma Liang Ding Dapeng Tao Jia Wu Wenbin Hu Bo Du 34 6 0 09 Dec 2023
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey Jun Bai Xiaofeng Zhang Chen Li Hanhua Hong Xi Xu Chenghua Lin Wenge Rong 31 10 0 08 Dec 2023
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training Jaehyung Kim Yuning Mao Rui Hou Hanchao Yu Davis Liang Pascale Fung Qifan Wang Fuli Feng Lifu Huang Madian Khabsa AAML 31 2 0 07 Dec 2023
Adapting Newton's Method to Neural Networks through a Summary of Higher-Order Derivatives Pierre Wolinski ODL 29 0 0 06 Dec 2023
Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data M. Olson Shusen Liu Jayaraman J. Thiagarajan B. Kustowski Weng-Keen Wong Rushil Anirudh AI4CE 36 1 0 06 Dec 2023
Towards Measuring Representational Similarity of Large Language Models Max Klabunde Mehdi Ben Amor Michael Granitzer Florian Lemmerich 42 2 0 05 Dec 2023
Object Detector Differences when using Synthetic and Real Training Data Martin Georg Ljungqvist Otto Nordander Markus Skans Arvid Mildner Tony J. Liu P. Nugues 3DPC 30 7 0 01 Dec 2023
MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting Linfeng Du Ji Xin Alex Labach S. Zuberi M. Volkovs Rahul G. Krishnan AI4TS 27 0 0 30 Nov 2023
Towards out-of-distribution generalization in large-scale astronomical surveys: robust networks learn similar representations Yash Gondhalekar Sultan Hassan Naomi Saphra S. Andrianomena OOD 35 1 0 29 Nov 2023
Do text-free diffusion models learn discriminative visual representations? Soumik Mukhopadhyay M. Gwilliam Yosuke Yamaguchi Vatsal Agarwal Namitha Padmanabhan Archana Swaminathan Dinesh Manocha Abhinav Shrivastava DiffM 37 12 1 29 Nov 2023
PEAN: A Diffusion-Based Prior-Enhanced Attention Network for Scene Text Image Super-Resolution Zuoyan Zhao Hui Xue Pengfei Fang Shipeng Zhu DiffM 23 4 0 29 Nov 2023
AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems Ruixuan Liu Ming Hu Zeke Xia Jun Xia Peng Zhang Yihao Huang Yang Liu Mingsong Chen FedML 35 6 0 23 Nov 2023
Revisiting Supervision for Continual Representation Learning Daniel Marczak Sebastian Cygert Tomasz Trzciñski Bartlomiej Twardowski SSL CLL 32 0 0 22 Nov 2023