Similarity of Neural Network Representations Revisited

1 May 2019

Papers citing "Similarity of Neural Network Representations Revisited"

50 / 834 papers shown

Title
FedCC: Robust Federated Learning against Model Poisoning Attacks Hyejun Jeong H. Son Seohu Lee Jayun Hyun T. Chung FedML 61 5 0 20 Feb 2025
Bayesian Comparisons Between Representations Heiko H. Schütt FAtt 170 0 0 20 Feb 2025
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries F. Jonske M. Kim Enrico Nasca J. Evers Johannes Haubold ... F. Nensa Michael Kamp C. Seibold Jan Egger Jens Kleesiek 79 1 0 17 Feb 2025
Parameter Symmetry Breaking and Restoration Determines the Hierarchical Learning in AI Systems Liu Ziyin Yizhou Xu T. Poggio Isaac Chuang 50 4 0 07 Feb 2025
UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation Tao Zhang Jinyong Wen Zhen Chen Kun Ding S. Xiang Chunhong Pan 72 1 0 04 Feb 2025
Discovering Chunks in Neural Embeddings for Interpretability Shuchen Wu Stephan Alaniz Eric Schulz Zeynep Akata 44 0 0 03 Feb 2025
RandLoRA: Full-rank parameter-efficient fine-tuning of large models Paul Albert Frederic Z. Zhang Hemanth Saratchandran Cristian Rodriguez-Opazo Anton van den Hengel Ehsan Abbasnejad 94 0 0 03 Feb 2025
DesCLIP: Robust Continual Adaptation via General Attribute Descriptions for Pretrained Vision-Language Models Chiyuan He Zihuan Qiu Fanman Meng Linfeng Xu Q. Wu H. Li VLM CLL KELM 63 0 0 02 Feb 2025
We're Different, We're the Same: Creative Homogeneity Across LLMs Emily Wenger Yoed Kenett 91 3 0 31 Jan 2025
Dimensions underlying the representational alignment of deep neural networks with humans F. Mahner Lukas Muttenthaler Umut Güçlü M. Hebart 48 4 0 28 Jan 2025
How Redundant Is the Transformer Stack in Speech Representation Models? Teresa Dorszewski Albert Kjøller Jacobsen Lenka Tětková Lars Kai Hansen 107 0 0 20 Jan 2025
Merging Feed-Forward Sublayers for Compressed Transformers Neha Verma Kenton W. Murray Kevin Duh AI4CE 50 0 0 10 Jan 2025
Training-free Heterogeneous Model Merging Zhengqi Xu Han Zheng Jie Song Li Sun Mingli Song MoMe 70 1 0 03 Jan 2025
Measuring Error Alignment for Decision-Making Systems Binxia Xu Antonis Bikakis Daniel Onah A. Vlachidis Luke Dickens 41 0 0 03 Jan 2025
Differentiable Optimization of Similarity Scores Between Models and Brains Nathan Cloos Moufan Li Markus Siegel S. Brincat Earl K. Miller Guangyu Robert Yang Christopher J. Cueva 45 6 0 31 Dec 2024
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 94 0 0 30 Dec 2024
MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data V. Saxena Benjamin Bashpole Gijs van Dijck Gerasimos Spanakis 72 0 0 18 Dec 2024
LossLens: Diagnostics for Machine Learning through Loss Landscape Visual Analytics Tiankai Xie Jiaqing Chen Yaoqing Yang Caleb Geniesse Ge Shi ... J. Cava Michael W. Mahoney Talita Perciano Gunther H. Weber Ross Maciejewski 72 0 0 17 Dec 2024
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference Siyuan Wang Dianyi Wang Chengxing Zhou Zejun Li Zhihao Fan Xuanjing Huang Zhongyu Wei VLM 182 0 0 17 Dec 2024
How not to Stitch Representations to Measure Similarity: Task Loss Matching versus Direct Matching András Balogh Márk Jelasity 85 0 0 15 Dec 2024
Pretrained Event Classification Model for High Energy Physics Analysis Joshua Ho Benjamin Ryan Roberts Shuo Han Haichen Wang 89 1 0 14 Dec 2024
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation Jiaming Lv Haoyuan Yang P. Li 74 1 0 11 Dec 2024
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning Weihang Chen Jie Ren Zhiqiang Li Ling Gao Z. Wang AI4CE 120 0 0 10 Dec 2024
MPQ-Diff: Mixed Precision Quantization for Diffusion Models Rocco Manz Maruzzelli Basile Lewandowski Lydia Y. Chen DiffM MQ 98 0 0 28 Nov 2024
Multi-Token Enhancing for Vision Representation Learning Zhong-Yu Li Yu-Song Hu Bo Yin Ming-Ming Cheng 66 1 0 24 Nov 2024
On the Surprising Effectiveness of Attention Transfer for Vision Transformers Alexander C. Li Yuandong Tian B. Chen Deepak Pathak Xinlei Chen 43 0 0 14 Nov 2024
Measuring similarity between embedding spaces using induced neighborhood graphs Tiago Tavares Fabio Ayres Paris Smaragdis 24 0 0 13 Nov 2024
What Representational Similarity Measures Imply about Decodable Information Sarah E. Harvey David Lipshutz Alex H. Williams 31 1 0 12 Nov 2024
Normalized Space Alignment: A Versatile Metric for Representation Analysis Danish Ebadulla Aditya Gulati Ambuj Singh 141 0 0 07 Nov 2024
Do Mice Grok? Glimpses of Hidden Progress During Overtraining in Sensory Cortex Tanishq Kumar Blake Bordelon C. Pehlevan Venkatesh N. Murthy Samuel Gershman OOD CLL SSL 48 0 0 05 Nov 2024
Collective Model Intelligence Requires Compatible Specialization Jyothish Pari Samy Jelassi Pulkit Agrawal MoMe 48 1 0 04 Nov 2024
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization Junlin He Jinxiao Du Susu Xu Wei Ma 21 0 0 01 Nov 2024
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA David Smerkous Qinxun Bai Fuxin Li BDL 26 0 0 31 Oct 2024
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks Tassilo Wald Constantin Ulrich Gregor Köhler David Zimmerer Stefan Denner Michael Baumgartner Fabian Isensee Priyank Jaini Klaus H. Maier-Hein 43 0 0 30 Oct 2024
Dimensionality-induced information loss of outliers in deep neural networks Kazuki Uematsu Kosuke Haruki Taiji Suzuki Mitsuhiro Kimura Takahiro Takimoto Hideyuki Nakagawa 23 0 0 29 Oct 2024
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers Shaobo Wang Hongxuan Tang Mingyang Wang H. Zhang Xuyang Liu Weiya Li Xuming Hu Linfeng Zhang 17 0 0 29 Oct 2024
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models Zheng Zhao Yftah Ziser Shay B. Cohen 31 0 0 25 Oct 2024
Model merging with SVD to tie the Knots George Stoica Pratik Ramesh B. Ecsedi Leshem Choshen Judy Hoffman MoMe 33 8 0 25 Oct 2024
Identifying Sub-networks in Neural Networks via Functionally Similar Representations Tian Gao Amit Dhurandhar K. Ramamurthy Dennis L. Wei 43 0 0 21 Oct 2024
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis Shiyu Wang Jiawei Li X. Shi Zhou Ye Baichuan Mo Wenze Lin Shengtong Ju Zhixuan Chu Ming Jin AI4TS 38 9 0 21 Oct 2024
Discriminating image representations with principal distortions Jenelle Feather David Lipshutz Sarah E. Harvey Alex H. Williams Eero P. Simoncelli 31 1 0 20 Oct 2024
Tending Towards Stability: Convergence Challenges in Small Language Models Richard Diehl Martinez Pietro Lesci P. Buttery 21 1 0 15 Oct 2024
SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep Models Yuqi Li Yao Lu Zeyu Dong Chuanguang Yang Yihao Chen Jianping Gou 21 2 0 14 Oct 2024
STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation Vamsi Krishna Vasa Wenhui Zhu Xiwen Chen Peijie Qiu Xuanzhao Dong Yalin Wang ViT 25 0 0 13 Oct 2024
A New Perspective to Boost Performance Fairness for Medical Federated Learning Yunlu Yan Lei Zhu Yuexiang Li Xinxing Xu Rick Siow Mong Goh Yong Liu Salman Khan Chun-Mei Feng FedML OOD 34 0 0 12 Oct 2024
On the Adversarial Transferability of Generalized "Skip Connections" Yisen Wang Yichuan Mo Dongxian Wu Mingjie Li Xingjun Ma Zhouchen Lin AAML 28 2 0 11 Oct 2024
Neural Metamorphosis Xingyi Yang Xinchao Wang 31 1 0 10 Oct 2024
BA-Net: Bridge Attention in Deep Neural Networks Ronghui Zhang Runzong Zou Yue Zhao Zirui Zhang Junzhou Chen Yue Cao Chuan Hu Houbing Song 36 0 0 10 Oct 2024
Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures Junxuan Wang Xuyang Ge Wentao Shu Qiong Tang Yunhua Zhou Zhengfu He Xipeng Qiu 29 7 0 09 Oct 2024
Prediction-driven resource provisioning for serverless container runtimes Dimitrios Tomaras Michail Tsenos V. Kalogeraki AI4TS 38 2 0 09 Oct 2024