Search results for "Generalization"

Hits ?▲	Authors	Title	Venue	Year	Link
8	Binglin Zhou, Linhao Zhong, Wentao Chen	Improve Cross-Architecture Generalization on Dataset Distillation.	CoRR	2024	DBLP DOI BibTeX RDF
8	Yucheng Li 0001, Yunhao Guo, Frank Guerin, Chenghua Lin	Evaluating Large Language Models for Generalization and Robustness via Data Compression.	CoRR	2024	DBLP DOI BibTeX RDF
8	Yuekun Yao, Alexander Koller	Simple and effective data augmentation for compositional generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Yicheng Li, Weiye Gan, Zuoqiang Shi, Qian Lin	Generalization Error Curves for Analytic Spectral Algorithms under Power-law Decay.	CoRR	2024	DBLP DOI BibTeX RDF
8	Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu	TOOLVERIFIER: Generalization to New Tools via Self-Verification.	CoRR	2024	DBLP DOI BibTeX RDF
8	Anna Kukleva, Fadime Sener, Edoardo Remelli, Bugra Tekin, Eric Sauser, Bernt Schiele, Shugao Ma	X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Yinbin Han, Meisam Razaviyayn, Renyuan Xu	Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Chengzhang Yu, Xianjun Yang, Wenxia Bao, Shaonan Wang, Zhiming Yao	A Self-supervised Pressure Map human keypoint Detection Approch: Optimizing Generalization and Computational Efficiency Across Datasets.	CoRR	2024	DBLP DOI BibTeX RDF
8	Haoxiang Wang 0003, Haozhe Si, Huajie Shao, Han Zhao 0002	Enhancing Compositional Generalization via Compositional Feature Alignment.	CoRR	2024	DBLP DOI BibTeX RDF
8	Paul Viallard, Rémi Emonet, Amaury Habrard, Emilie Morvant, Valentina Zantedeschi	Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures.	CoRR	2024	DBLP DOI BibTeX RDF
8	Zhaorui Tan, Xi Yang 0008, Kaizhu Huang	Rethinking Multi-domain Generalization with A General Learning Objective.	CoRR	2024	DBLP DOI BibTeX RDF
8	Rainer Trauth, Alexander Hobmeier, Johannes Betz	A Reinforcement Learning-Boosted Motion Planning Framework: Comprehensive Generalization Performance in Autonomous Driving.	CoRR	2024	DBLP DOI BibTeX RDF
8	Yating Lin, Glen Chou, Dmitry Berenson	Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds.	CoRR	2024	DBLP DOI BibTeX RDF
8	Niclas Alexander Göring, Florian Hess, Manuel Brenner, Zahra Monfared, Daniel Durstewitz	Out-of-Domain Generalization in Dynamical Systems Reconstruction.	CoRR	2024	DBLP DOI BibTeX RDF
8	Pierce Howell, Max Rudolph, Reza Torbati, Kevin Fu, Harish Ravichandar	Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities.	CoRR	2024	DBLP DOI BibTeX RDF
8	Shruthi Gowda, Bahram Zonooz, Elahe Arani	Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training.	CoRR	2024	DBLP DOI BibTeX RDF
8	Khiem Le-Huy, Long Ho, Cuong Do 0001, Danh Le Phuoc, Kok-Seng Wong	Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Zixuan Zhang, Revanth Gangi Reddy, Kevin Small, Tong Zhang 0001, Heng Ji	Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Michael N. Vrahatis	Generalization of the Apollonius theorem for simplices and related problems.	CoRR	2024	DBLP DOI BibTeX RDF
8	Petros Georgiou, Sharu Theresa Jose, Osvaldo Simeone	Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis.	CoRR	2024	DBLP DOI BibTeX RDF
8	Yihang Chen, Fanghui Liu 0001, Yiping Lu, Grigorios G. Chrysos, Volkan Cevher	Generalization of Scaled Deep ResNets in the Mean-Field Regime.	CoRR	2024	DBLP DOI BibTeX RDF
8	Nan Gao, Jia Li 0044, Huaibo Huang, Zhi Zeng, Ke Shang, Shuwu Zhang, Ran He 0001	DiffMAC: Diffusion Manifold Hallucination Correction for High Generalization Blind Face Restoration.	CoRR	2024	DBLP DOI BibTeX RDF
8	Vaggos Chatziafratis, Ishani Karmarkar, Ellen Vitercik	From Large to Small Datasets: Size Generalization for Clustering Algorithm Selection.	CoRR	2024	DBLP DOI BibTeX RDF
8	Adnan Khan, Mai A. Shaaban, Muhammad Haris Khan	Improving Pseudo-labelling and Enhancing Robustness for Semi-Supervised Domain Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Gianmarco Guglielmo, Andrea Montessori, Jean-Michel Tucny, Michele La Rocca 0002, Pietro Prestininzi	Can physical information aid the generalization ability of Neural Networks for hydraulic modeling?	CoRR	2024	DBLP DOI BibTeX RDF
8	Mainak Singha, Ankit Jha, Shirsha Bose, Ashwin Nair, Moloud Abdar, Biplab Banerjee	Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Qin Tian, Wenjun Wang, Chen Zhao, Minglai Shao, Wang Zhang, Dong Li	Graphs Generalization under Distribution Shifts.	CoRR	2024	DBLP DOI BibTeX RDF
8	Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu	Invariant Test-Time Adaptation for Vision-Language Model Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Guang Lin, Chao Li, Jianhai Zhang, Toshihisa Tanaka, Qibin Zhao	Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Vijay Kag, Birupaksha Pal	A novel framework for generalization of deep hidden physics models.	CoRR	2024	DBLP DOI BibTeX RDF
8	Yongchao Zhou, Uri Alon 0002, Xinyun Chen, Xuezhi Wang 0002, Rishabh Agarwal, Denny Zhou	Transformers Can Achieve Length Generalization But Not Robustly.	CoRR	2024	DBLP DOI BibTeX RDF
8	Mikel De Iturrate Reyzabal, Mingcong Chen, Wei Huang, Sébastien Ourselin, Hongbin Liu 0001	DaFoEs: Mixing Datasets towards the generalization of vision-state deep-learning Force Estimation in Minimally Invasive Robotic Surgery.	CoRR	2024	DBLP DOI BibTeX RDF
8	Kecheng Chen, Elena Gal, Hong Yan, Haoliang Li	Domain Generalization with Small Data.	CoRR	2024	DBLP DOI BibTeX RDF
8	Zehao Xiao, Jiayi Shen, Mohammad Mahdi Derakhshani, Shengcai Liao, Cees G. M. Snoek	Any-Shift Prompting for Generalization over Distributions.	CoRR	2024	DBLP DOI BibTeX RDF
8	Tianyi Qiu, Fanzhi Zeng, Jiaming Ji, Dong Yan, Kaile Wang, Jiayi Zhou, Han Yang, Josef Dai, Xuehai Pan, Yaodong Yang 0001	Rethinking Information Structures in RLHF: Reward Generalization from a Graph Theory Perspective.	CoRR	2024	DBLP DOI BibTeX RDF
8	Lazar Atanackovic, Emmanuel Bengio	Investigating Generalization Behaviours of Generative Flow Networks.	CoRR	2024	DBLP DOI BibTeX RDF
8	Noam Ben-Moshe, Kenta Tsutsui, Shany Biton, Leif Sörnmo, Joachim A. Behar	RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG.	CoRR	2024	DBLP DOI BibTeX RDF
8	Zhimin Zhang 0008, Xiang Gao, Wei Hu 0003	InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Carter Lyons, Raghu G. Raj, Margaret Cheney	On Generalization Bounds for Deep Compound Gaussian Neural Networks.	CoRR	2024	DBLP DOI BibTeX RDF
8	Kenneth C. Enevoldsen, Emil Trenckner Jessen, Rebekah Baglini	DANSK and DaCy 2.6.0: Domain Generalization of Danish Named Entity Recognition.	CoRR	2024	DBLP DOI BibTeX RDF
8	Amrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu 0001	EAGLE: A Domain Generalization Framework for AI-generated Text Detection.	CoRR	2024	DBLP DOI BibTeX RDF
8	Joe Suzuki, Tianle Yang	Generalization of LiNGAM that allows confounding.	CoRR	2024	DBLP DOI BibTeX RDF
8	Chester Holtz, Yucheng Wang, Chung-Kuan Cheng, Bill Lin 0001	On Robustness and Generalization of ML-Based Congestion Predictors to Valid and Imperceptible Perturbations.	CoRR	2024	DBLP DOI BibTeX RDF
8	Yingshan Chang, Yasi Zhang, Zhiyuan Fang, Yingnian Wu, Yonatan Bisk, Feng Gao	Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation.	CoRR	2024	DBLP DOI BibTeX RDF
8	Paul Gavrikov, Janis Keuper	Can Biases in ImageNet Models Explain Generalization?	CoRR	2024	DBLP DOI BibTeX RDF
8	Qianyu Zhou 0001, Ke-Yue Zhang, Taiping Yao, Xuequan Lu, Shouhong Ding, Lizhuang Ma	Test-Time Domain Generalization for Face Anti-Spoofing.	CoRR	2024	DBLP DOI BibTeX RDF
8	Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi	Learning Invariant Representations of Graph Neural Networks via Cluster Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Jianting Chen, Ling Ding, Yunxiao Yang, Zaiyuan Di, Yang Xiang	Domain Adversarial Active Learning for Domain Generalization Classification.	CoRR	2024	DBLP DOI BibTeX RDF
8	Jitao Sang, Yuhang Wang, Jing Zhang, Yanxu Zhu, Chao Kong, Junhong Ye, Shuyu Wei, Jinlin Xiao	Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning.	CoRR	2024	DBLP DOI BibTeX RDF
8	Yifan Hao, Yong Lin, Difan Zou, Tong Zhang	On the Benefits of Over-parameterization for Out-of-Distribution Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Shouheng Li, Dongwoo Kim 0002, Qing Wang	Generalization of Graph Neural Networks through the Lens of Homomorphism.	CoRR	2024	DBLP DOI BibTeX RDF
8	Yutong Wang, Rishi Sonthalia, Wei Hu	Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Chujie Zhao, Tianren Zhang, Feng Chen 0007	Preserving Silent Features for Domain Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Yinhua Piao, Sangseon Lee, Yijingxiu Lu, Sun Kim	Improving out-of-distribution generalization in graphs via hierarchical semantic environments.	CoRR	2024	DBLP DOI BibTeX RDF
8	Jensen Gao, Annie Xie, Ted Xiao, Chelsea Finn, Dorsa Sadigh	Efficient Data Collection for Robotic Manipulation via Compositional Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Sungjun Han, Sebastian Padó	Towards Understanding the Relationship between In-context Learning and Compositional Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Maksim Velikanov, Maxim Panov, Dmitry Yarotsky	Generalization error of spectral algorithms.	CoRR	2024	DBLP DOI BibTeX RDF
8	Haoran Yang, Yumeng Zhang, Jiaqi Xu, Hongyuan Lu, Pheng-Ann Heng, Wai Lam	Unveiling the Generalization Power of Fine-Tuned Large Language Models.	CoRR	2024	DBLP DOI BibTeX RDF
8	Liu Yang, Stanley J. Osher	PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws.	CoRR	2024	DBLP DOI BibTeX RDF
8	John Fischer, Marko Orescanin, Eric Eckstrand	VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern Recognition.	CoRR	2024	DBLP DOI BibTeX RDF
8	Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong Kim, Il-Chul Moon	Unknown Domain Inconsistency Minimization for Domain Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Tomás Horych, Martin Wessel, Jan Philip Wahle, Terry Ruas, Jerome Waßmuth, André Greiner-Petter, Akiko Aizawa, Bela Gipp, Timo Spinde	MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions.	CoRR	2024	DBLP DOI BibTeX RDF
8	Sokratis J. Anagnostopoulos, Juan Diego Toscano, Nikolaos Stergiopulos, George Em Karniadakis	Learning in PINNs: Phase transition, total diffusion, and generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu	Resonance RoPE: Improving Context Length Generalization of Large Language Models.	CoRR	2024	DBLP DOI BibTeX RDF
8	Kanyifeechukwu Jane Oguine, Roger D. Soberanis-Mukul, Nathan Drenkow, Mathias Unberath	From Generalization to Precision: Exploring SAM for Tool Segmentation in Surgical Environments.	CoRR	2024	DBLP DOI BibTeX RDF
8	Kai Leng, Zhijie Zhang, Jie Liu 0038, Zeyd Boukhers, Wei Sui, Cong Yang, Zhijun Li	SuperEdge: Towards a Generalization Model for Self-Supervised Edge Detection.	CoRR	2024	DBLP DOI BibTeX RDF
8	Muhammad Farid Adilazuarda, Samuel Cahyawijaya, Alham Fikri Aji, Genta Indra Winata, Ayu Purwarianti	LinguAlchemy: Fusing Typological and Geographical Elements for Unseen Language Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron	Improved Generalization of Weight Space Networks via Augmentations.	CoRR	2024	DBLP DOI BibTeX RDF
8	Nithin Govindarajan, Shivkumar Chandrasekaran	Tree semi-separable matrices: a simultaneous generalization of sequentially and hierarchically semi-separable representations.	CoRR	2024	DBLP DOI BibTeX RDF
8	Mohammad Lashkari, Amin Gheibi	Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Models.	CoRR	2024	DBLP DOI BibTeX RDF
8	Joel Shor, Carson McNeil, Yotam Intrator, Joseph R. Ledsam, Hiro-o Yamano, Daisuke Tsurumaru, Hiroki Kayama, Atsushi Hamabe, Koji Ando, Mitsuhiko Ota, Haruei Ogino, Hiroshi Nakase, Kaho Kobayashi, Masaaki Miyo, Eiji Oki, Ichiro Takemasa, Ehud Rivlin, Roman Goldenberg	Predicting Generalization of AI Colonoscopy Models to Unseen Data.	CoRR	2024	DBLP DOI BibTeX RDF
8	Florian Chen, Felix Weitkämper, Sagar Malhotra	Understanding Domain-Size Generalization in Markov Logic Networks.	CoRR	2024	DBLP DOI BibTeX RDF
8	Noor Ahmed, Anna Kukleva, Bernt Schiele	OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning.	CoRR	2024	DBLP DOI BibTeX RDF
8	Salman Rahman, Lavender Yao Jiang, Saadia Gabriel, Yindalon Aphinyanaphongs, Eric Karl Oermann, Rumi Chunara	Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model.	CoRR	2024	DBLP DOI BibTeX RDF
8	Liang Chen, Yong Zhang, Yibing Song, Zhen Zhang, Lingqiao Liu	A Causal Inspired Early-Branching Structure for Domain Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Arun Kumar 0009, Paul Schrater	KIX: A Metacognitive Generalization Framework.	CoRR	2024	DBLP DOI BibTeX RDF
8	Yuanchen Ju, Kaizhe Hu, Guowei Zhang, Gu Zhang, Mingrun Jiang, Huazhe Xu	Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation.	CoRR	2024	DBLP DOI BibTeX RDF
8	Takuya Ito, Soham Dan, Mattia Rigotti, James Kozloski, Murray Campbell	On the generalization capacity of neural networks during generic multimodal reasoning.	CoRR	2024	DBLP DOI BibTeX RDF
8	Qiwei Peng 0002, Yekun Chai, Xuhong Li 0002	HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Rajeev V. Rikhye, Aaron Loh, Grace Eunhae Hong, Preeti Singh, Margaret Ann Smith, Vijaytha Muralidharan, Doris Wong, Rory Sayres, Michelle Phung, Nicolas Betancourt, Bradley Fong, Rachna Sahasrabudhe, Khoban Nasim, Alec Eschholz, Basil Mustafa, Jan Freyberg, Terry Spitz, Yossi Matias, Gregory S. Corrado, Katherine Chou, Dale R. Webster, Peggy Bui, Yuan Liu, Yun Liu 0013, Justin Ko, Steven Lin	Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings.	CoRR	2024	DBLP DOI BibTeX RDF
8	Tan Sun, Junhong Lin	PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network.	CoRR	2024	DBLP DOI BibTeX RDF
8	Aleksandr Matsun, Numan Saeed, Fadillah Adamsyah Maani, Mohammad Yaqub	ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Mohammad Javad Hosseini, Andrey Petrov, Alex Fabrikant, Annie Louis	A synthetic data approach for domain generalization of NLI models.	CoRR	2024	DBLP DOI BibTeX RDF
8	Han Yu 0009, Jiashuo Liu, Xingxuan Zhang, Jiayun Wu, Peng Cui 0001	A Survey on Evaluation of Out-of-Distribution Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Baolu Li, Jinlong Li, Xinyu Liu 0009, Runsheng Xu, Zhengzhong Tu, Jiacheng Guo, Xiaopeng Li, Hongkai Yu	V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions.	CoRR	2024	DBLP DOI BibTeX RDF
8	Piush Aggarwal, Jawar Mehrabanian, Weigang Huang, Özge Alaçam, Torsten Zesch	Text or Image? What is More Important in Cross-Domain Generalization Capabilities of Hate Meme Detection Models?	CoRR	2024	DBLP DOI BibTeX RDF
8	Gholamali Aminian, Yixuan He, Gesine Reinert, Lukasz Szpruch, Samuel N. Cohen	Generalization Error of Graph Neural Networks in the Mean-field Regime.	CoRR	2024	DBLP DOI BibTeX RDF
8	Gang Liu, Hongyang Li, Zerui He, Shenjun Zhong	Enhancing Generalization in Medical Visual Question Answering Tasks via Gradient-Guided Model Perturbation.	CoRR	2024	DBLP DOI BibTeX RDF
8	Mohammed Muqeeth, Haokun Liu, Yufan Liu, Colin Raffel	Learning to Route Among Specialized Experts for Zero-Shot Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Ryota Tanaka, Taichi Iki, Kyosuke Nishida, Kuniko Saito, Jun Suzuki	InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions.	CoRR	2024	DBLP DOI BibTeX RDF
8	Yihong Dong, Xue Jiang, Huanyu Liu, Zhi Jin, Ge Li	Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models.	CoRR	2024	DBLP DOI BibTeX RDF
8	Jinha Park, Wonguk Cho, Taesup Kim	Overcoming Data Inequality across Domains with Semi-Supervised Domain Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Zhuoxuan Peng, S.-H. Gary Chan	Single Domain Generalization for Crowd Counting.	CoRR	2024	DBLP DOI BibTeX RDF
8	Daniel Lichy, Hang Su 0005, Abhishek Badki, Jan Kautz, Orazio Gallo	FoVA-Depth: Field-of-View Agnostic Depth Estimation for Cross-Dataset Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Yifei Ming, Haoyue Bai, Julian Katz-Samuels, Yixuan Li 0001	HYPO: Hyperspherical Out-of-Distribution Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Shengzhuang Chen, Jihoon Tack, Yunqiao Yang, Yee Whye Teh, Jonathan Richard Schwarz, Ying Wei 0001	Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts.	CoRR	2024	DBLP DOI BibTeX RDF
8	Mahdi Alehdaghi, Pourya Shamsolmoali, Rafael M. O. Cruz, Eric Granger	Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification.	CoRR	2024	DBLP DOI BibTeX RDF
8	Yuhang Zang, Hanlin Goh, Josh M. Susskind, Chen Huang 0001	Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization.	CoRR	2024	DBLP DOI BibTeX RDF
8	Yinglong Guo, Shaohan Li, Gilad Lerman	The effect of Leaky ReLUs on the training and generalization of overparameterized networks.	CoRR	2024	DBLP DOI BibTeX RDF
8	Marc Bartholet, Taehyeon Kim, Ami Beuret, Se-Young Yun, Joachim M. Buhmann	Non-linear Fusion in Federated Learning: A Hypernetwork Approach to Federated Domain Generalization.	CoRR	2024	DBLP DOI BibTeX RDF