Similarity of Neural Network Representations Revisited

1 May 2019

Papers citing "Similarity of Neural Network Representations Revisited"

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Title
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 26 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
Duality of Bures and Shape Distances with Implications for Comparing Neural Representations Sarah E. Harvey Brett W. Larsen Alex H. Williams 90 11 0 19 Nov 2023
Depth Insight -- Contribution of Different Features to Indoor Single-image Depth Estimation Yihong Wu Yuwen Heng Mahesan Niranjan Hansung Kim MDE 23 1 0 16 Nov 2023
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning Meenakshi Khosla Alex H. Williams 17 12 0 16 Nov 2023
R-Spin: Efficient Speaker and Noise-invariant Representation Learning with Acoustic Pieces Heng-Jui Chang James R. Glass 38 3 0 15 Nov 2023
Probing clustering in neural network representations Thao Nguyen Simon Kornblith 32 1 0 14 Nov 2023
On original and latent space connectivity in deep neural networks Boyang Gu Anastasia Borovykh GNN 3DPC 32 1 0 12 Nov 2023
From Charts to Atlas: Merging Latent Spaces into One Donato Crisostomi Irene Cannistraci Luca Moschella Pietro Barbiero Marco Ciccone Pietro Lio Emanuele Rodolà 37 3 0 11 Nov 2023
DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency Azhar Shaikh Michael Cochez Denis Diachkov Michiel de Rijcke Sahar Yousefi 35 0 0 09 Nov 2023
Hardware Aware Evolutionary Neural Architecture Search using Representation Similarity Metric Nilotpal Sinha Abd El Rahman Shabayek Anis Kacem Peyman Rostami Carl Shneider Djamila Aouada 46 4 0 07 Nov 2023
MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters Chau Pham Piotr Teterwak Soren Nelson Bryan A. Plummer 17 3 0 07 Nov 2023
GIST: Generated Inputs Sets Transferability in Deep Learning Florian Tambon Foutse Khomh G. Antoniol AAML 37 1 0 01 Nov 2023
Latent Space Translation via Semantic Alignment Valentino Maiorca Luca Moschella Antonio Norelli Marco Fumero Francesco Locatello Emanuele Rodolà 29 21 0 01 Nov 2023
On consequences of finetuning on data with highly discriminative features Wojciech Masarczyk Tomasz Trzciñski M. Ostaszewski 35 0 0 30 Oct 2023
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation Zhiwei Hao Jianyuan Guo Kai Han Yehui Tang Han Hu Yunhe Wang Chang Xu 46 59 0 30 Oct 2023
Successfully Applying Lottery Ticket Hypothesis to Diffusion Model Chao Jiang Bo Hui Bohan Liu Da Yan DiffM 43 14 0 28 Oct 2023
Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition Shuoyuan Wang Jindong Wang Huajun Xi Bob Zhang Lei Zhang Hongxin Wei TTA 29 12 0 28 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David Evans AAML 36 6 0 26 Oct 2023
Invariance Measures for Neural Networks F. Quiroga J. Torrents-Barrena Laura Lanzarini Domenec Puig-Valls 22 4 0 26 Oct 2023
Understanding the Effects of Projectors in Knowledge Distillation Yudong Chen Sen Wang Jiajun Liu Xuwei Xu Frank de Hoog Brano Kusy Zi Huang 26 0 0 26 Oct 2023
A Joint Matrix Factorization Analysis of Multilingual Representations Zheng Zhao Yftah Ziser Bonnie Webber Shay B. Cohen 32 2 0 24 Oct 2023
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model Kaiyan Zhang Ning Ding Biqing Qi Xuekai Zhu Xinwei Long Bowen Zhou 46 4 0 24 Oct 2023
The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks Xiaoyi Chen Siyuan Tang Rui Zhu Shijun Yan Lei Jin Zihao Wang Liya Su Zhikun Zhang Xiaofeng Wang Haixu Tang AAML PILM 24 17 0 24 Oct 2023
Understanding the Inner Workings of Language Models Through Representation Dissimilarity Davis Brown Charles Godfrey N. Konz Jonathan Tu Henry Kvinge 37 7 0 23 Oct 2023
Foundation Model's Embedded Representations May Detect Distribution Shift Max Vargas Adam Tsou A. Engel Tony Chiang 36 1 0 20 Oct 2023
FairBranch: Fairness Conflict Correction on Task-group Branches for Fair Multi-Task Learning Arjun Roy C. Koutlis Symeon Papadopoulos Eirini Ntoutsi 30 0 0 20 Oct 2023
Rethinking the Construction of Effective Metrics for Understanding the Mechanisms of Pretrained Language Models You Li Jinhui Yin Yuming Lin 29 0 0 19 Oct 2023
Getting aligned on representational alignment Ilia Sucholutsky Lukas Muttenthaler Adrian Weller Andi Peng Andreea Bobu ... Thomas Unterthiner Andrew Kyle Lampinen Klaus-Robert Muller M. Toneva Thomas Griffiths 66 76 0 18 Oct 2023
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport Quentin Bouniot I. Redko Anton Mallasto Charlotte Laclau Karol Arndt Oliver Struckmeier Markus Heinonen Ville Kyrki Samuel Kaski 64 2 0 17 Oct 2023
Causality and Independence Enhancement for Biased Node Classification Guoxin Chen Yongqing Wang Fangda Guo Qinglang Guo Jiangli Shao Huawei Shen Xueqi Cheng CML AI4CE OOD 42 14 0 14 Oct 2023
Denoising Task Routing for Diffusion Models Byeongjun Park Sangmin Woo Hyojun Go Jin-Young Kim Changick Kim DiffM 27 18 0 11 Oct 2023
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting Yong Liu Tengge Hu Haoran Zhang Haixu Wu Shiyu Wang Lintao Ma Mingsheng Long AI4TS 24 447 0 10 Oct 2023
Grokking as the Transition from Lazy to Rich Training Dynamics Tanishq Kumar Blake Bordelon Samuel Gershman Cengiz Pehlevan 35 31 0 09 Oct 2023
Estimating Shape Distances on Neural Representations with Limited Samples Dean A. Pospisil Brett W. Larsen Sarah E. Harvey Alex H. Williams 36 2 0 09 Oct 2023
MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth Estimation Muhammad Osama Khan Junbang Liang Chun-Kai Wang Shan Yang Yu Lou MDE 49 4 0 06 Oct 2023
TRAM: Bridging Trust Regions and Sharpness Aware Minimization Tom Sherborne Naomi Saphra Pradeep Dasigi Hao Peng 32 4 0 05 Oct 2023
Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication Zhe Zhao Qingyun Liu Huan Gui Bang An Lichan Hong Ed H. Chi 31 1 0 04 Oct 2023
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication Irene Cannistraci Luca Moschella Marco Fumero Valentino Maiorca Emanuele Rodolà 43 12 0 02 Oct 2023
OceanBench: The Sea Surface Height Edition J. E. Johnson Q. Febvre Anastasia Gorbunova Sammy Metref M. Ballarotta Julien Le Sommer Ronan Fablet 38 2 0 27 Sep 2023
DONNAv2 -- Lightweight Neural Architecture Search for Vision tasks Sweta Priyadarshi Tianyu Jiang Hsin-Pai Cheng S. Rama Krishna Viswanath Ganapathy C. Patel 49 0 0 26 Sep 2023
Neuro-Visualizer: An Auto-encoder-based Loss Landscape Visualization Method Mohannad Elhamod Anuj Karpatne 26 1 0 26 Sep 2023
ReMasker: Imputing Tabular Data with Masked Autoencoding Tianyu Du Luca Melis Ting Wang 19 15 0 25 Sep 2023
Understanding Calibration of Deep Neural Networks for Medical Image Classification A. Sambyal Usma Niyaz N. C. Krishnan Deepti R. Bathula 17 7 0 22 Sep 2023
A Spectral Theory of Neural Prediction and Alignment Abdulkadir Canatar J. Feather Albert J. Wakhloo SueYeon Chung OOD 30 14 0 22 Sep 2023
Fed-LSAE: Thwarting Poisoning Attacks against Federated Cyber Threat Detection System via Autoencoder-based Latent Space Inspection Tran Duc Luong Vuong Minh Tien N. H. Quyen Do Thi Thu Hien Phan The Duy V. Pham AAML 18 1 0 20 Sep 2023
Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer Learning Mohammad Javad Darvishi Bayazi M. S. Ghaemi Timothée Lesort Md Rifat Arefin Jocelyn Faubert Irina Rish 30 11 0 19 Sep 2023
Two-Step Knowledge Distillation for Tiny Speech Enhancement Rayan Daod Nathoo M. Kegler Marko Stamenovic 19 4 0 15 Sep 2023