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Essentially No Barriers in Neural Network Energy Landscape

2 March 2018

Papers citing "Essentially No Barriers in Neural Network Energy Landscape"

50 / 295 papers shown

Title
Hidden Breakthroughs in Language Model Training Sara Kangaslahti Elan Rosenfeld Naomi Saphra 28 0 0 18 Jun 2025
Symmetry in Neural Network Parameter Spaces Bo Zhao Robin Walters Rose Yu 27 0 0 16 Jun 2025
Circumventing Backdoor Space via Weight Symmetry Jie Peng Hongwei Yang Jing Zhao Hengji Dong Hui He Weizhe Zhang Haoyu He AAML 17 0 0 09 Jun 2025
Walking the Weight Manifold: a Topological Approach to Conditioning Inspired by Neuromodulation Ari S. Benjamin Kyle Daruwalla Christian Pehle Anthony M. Zador 55 0 0 29 May 2025
Understanding Mode Connectivity via Parameter Space Symmetry B. Zhao Nima Dehmamy Robin Walters Rose Yu 236 8 0 29 May 2025
Decom-Renorm-Merge: Model Merging on the Right Space Improves Multitasking Yuatyong Chaichana Thanapat Trachu Peerat Limkonchotiwat Konpat Preechakul Tirasan Khandhawit Ekapol Chuangsuwanich MoMe 82 0 0 29 May 2025
SGD as Free Energy Minimization: A Thermodynamic View on Neural Network Training Ildus Sadrtdinov Ivan Klimov E. Lobacheva Dmitry Vetrov 35 0 0 29 May 2025
Update Your Transformer to the Latest Release: Re-Basin of Task Vectors Filippo Rinaldi Giacomo Capitani Lorenzo Bonicelli Donato Crisostomi Federico Bolelli E. Ficarra Emanuele Rodolà Simone Calderara Angelo Porrello 26 0 0 28 May 2025
Benignity of loss landscape with weight decay requires both large overparametrization and initialization Etienne Boursier Matthew Bowditch Matthias Englert R. Lazic 56 0 0 28 May 2025
Semantic Aware Linear Transfer by Recycling Pre-trained Language Models for Cross-lingual Transfer Seungyoon Lee Seongtae Hong Hyeonseok Moon Heuiseok Lim KELM 90 0 0 16 May 2025
Low-Loss Space in Neural Networks is Continuous and Fully Connected Yongding Tian Zaid Al-Ars Maksim Kitsak P. Hofstee 3DPC 116 1 0 05 May 2025
Towards Quantifying the Hessian Structure of Neural Networks Zhaorui Dong Yushun Zhang Zhi-Quan Luo Jianfeng Yao Ruoyu Sun 77 1 0 05 May 2025
Dynamic Fisher-weighted Model Merging via Bayesian Optimization Sanwoo Lee Jiahao Liu Qifan Wang Jiadong Wang Xunliang Cai Yunfang Wu MoMe 464 1 0 26 Apr 2025
A Combinatorial Theory of Dropout: Subnetworks, Graph Geometry, and Generalization Sahil Rajesh Dhayalkar 130 1 0 20 Apr 2025
Understanding Machine Unlearning Through the Lens of Mode Connectivity Jiali Cheng Hadi Amiri MU 458 1 0 08 Apr 2025
Finding Stable Subnetworks at Initialization with Dataset Distillation Luke McDermott Rahul Parhi DD 87 0 0 23 Mar 2025
Analyzing the Role of Permutation Invariance in Linear Mode Connectivity Keyao Zhan Puheng Li Lei Wu MoMe 113 0 0 13 Mar 2025
SplatPose: Geometry-Aware 6-DoF Pose Estimation from Single RGB Image via 3D Gaussian Splatting Linqi Yang Xiongwei Zhao Qihao Sun Ke Wang Ao Chen Peng Kang 3DGS 138 6 0 07 Mar 2025
Paths and Ambient Spaces in Neural Loss Landscapes Daniel Dold Julius Kobialka Nicolai Palm Emanuel Sommer David Rügamer Oliver Durr AI4CE 126 0 0 05 Mar 2025
Deep Learning is Not So Mysterious or Different Andrew Gordon Wilson 101 6 0 03 Mar 2025
Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think Jie Tian Xiaoye Qu Zhenyi Lu Xiaoye Qu Sichen Liu Yu Cheng DiffM VGen 81 4 0 02 Mar 2025
Low-Rank and Sparse Model Merging for Multi-Lingual Speech Recognition and Translation Qiuming Zhao Guangzhi Sun Chao Zhang MoMe VLM 457 1 0 24 Feb 2025
Rethinking Spiking Neural Networks from an Ensemble Learning Perspective Lin Zuo Yongqi Ding Mengmeng Jing Pei He Hanpu Deng 100 3 0 20 Feb 2025
High-dimensional manifold of solutions in neural networks: insights from statistical physics Enrico M. Malatesta 114 4 0 20 Feb 2025
Unveiling Mode Connectivity in Graph Neural Networks Bingheng Li Z. Chen Haoyu Han Shenglai Zeng J. Liu Jiliang Tang 88 1 0 18 Feb 2025
In-Context Parametric Inference: Point or Distribution Estimators? Sarthak Mittal Yoshua Bengio Nikolay Malkin Guillaume Lajoie 130 0 0 17 Feb 2025
Dissecting a Small Artificial Neural Network Xiguang Yang Krish Arora Michael Bachmann 89 0 0 03 Jan 2025
Parameter-Efficient Interventions for Enhanced Model Merging Marcin Osial Daniel Marczak Bartosz Zieliñski MoMe 150 1 0 22 Dec 2024
Non-Uniform Parameter-Wise Model Merging Albert Manuel Orozco Camacho Stefan Horoi Guy Wolf Eugene Belilovsky MoMe FedML 142 0 0 20 Dec 2024
Implicit Neural Compression of Point Clouds Hongning Ruan Yulin Shao Qianqian Yang Liang Zhao Zhaoyang Zhang Dusit Niyato 3DPC 116 1 0 11 Dec 2024
Task Arithmetic Through The Lens Of One-Shot Federated Learning Zhixu Tao I. Mason Sanjeev R. Kulkarni Xavier Boix MoMe FedML 131 7 0 27 Nov 2024
CopRA: A Progressive LoRA Training Strategy Zhan Zhuang Xiequn Wang Yulong Zhang Wei Li Yu Zhang Ying Wei 114 1 0 30 Oct 2024
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging Li Shen Anke Tang Enneng Yang G. Guo Yong Luo Lefei Zhang Xiaochun Cao Di Lin Dacheng Tao MoMe 83 9 0 29 Oct 2024
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs Bowen Liu Haoyang Li Shuning Wang Shuo Nie Shanghang Zhang OODD CML 172 0 0 29 Oct 2024
Model merging with SVD to tie the Knots George Stoica Pratik Ramesh B. Ecsedi Leshem Choshen Judy Hoffman MoMe 99 19 0 25 Oct 2024
In Search of the Successful Interpolation: On the Role of Sharpness in CLIP Generalization Alireza Abdollahpoorrostam 57 0 0 21 Oct 2024
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense Rui Min Zeyu Qin Nevin L. Zhang Li Shen Minhao Cheng AAML 91 4 0 13 Oct 2024
What Matters for Model Merging at Scale? Prateek Yadav Tu Vu Jonathan Lai Alexandra Chronopoulou Manaal Faruqui Joey Tianyi Zhou Tsendsuren Munkhdalai MoMe 107 22 0 04 Oct 2024
Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks Edan Kinderman Itay Hubara Haggai Maron Daniel Soudry MoMe 104 2 0 02 Oct 2024
Input Space Mode Connectivity in Deep Neural Networks Jakub Vrabel Ori Shem-Ur Yaron Oz David Krueger 110 1 0 09 Sep 2024
Weight Scope Alignment: A Frustratingly Easy Method for Model Merging Yichu Xu Xin-Chun Li Le Gan De-Chuan Zhan MoMe 91 0 0 22 Aug 2024
SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models Anke Tang Li Shen Yong Luo Shuai Xie Han Hu Lefei Zhang Di Lin Dacheng Tao MoMe 104 4 0 19 Aug 2024
Enhancing material property prediction with ensemble deep graph convolutional networks Chowdhury Mohammad Abid Rahman Ghadendra B. Bhandari Nasser M. Nasrabadi Aldo H. Romero P. Gyawali AI4CE 84 4 0 26 Jul 2024
Flatness-aware Sequential Learning Generates Resilient Backdoors Hoang Pham The-Anh Ta Anh Tran Khoa D. Doan FedML AAML 76 1 0 20 Jul 2024
Exploring End-to-end Differentiable Neural Charged Particle Tracking -- A Loss Landscape Perspective T. Kortus Ralf Keidel N.R. Gauger 133 0 0 18 Jul 2024
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis Stefan Horoi Albert Manuel Orozco Camacho Eugene Belilovsky Guy Wolf FedML MoMe 58 10 0 07 Jul 2024
Adaptive Stochastic Weight Averaging Caglar Demir Arnab Sharma Axel-Cyrille Ngonga Ngomo MoMe 69 1 0 27 Jun 2024
MD tree: a model-diagnostic tree grown on loss landscape Yefan Zhou Jianlong Chen Qinxue Cao Konstantin Schürholt Yaoqing Yang 102 2 0 24 Jun 2024
Landscaping Linear Mode Connectivity Sidak Pal Singh Linara Adilova Michael Kamp Asja Fischer Bernhard Scholkopf Thomas Hofmann 120 6 0 24 Jun 2024
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging Zhenyi Lu Chenghao Fan Wei Wei Xiaoye Qu Dangyang Chen Yu Cheng MoMe 126 63 0 17 Jun 2024