Robustness and Generalization

13 May 2010

Papers citing "Robustness and Generalization"

50 / 87 papers shown

Title
Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes Navdeep Kumar Adarsh Gupta Maxence Mohamed Elfatihi Giorgia Ramponi Kfir Y. Levy Shie Mannor 60 0 0 13 Feb 2025
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation Wei Chen Guo Ye Yakun Wang Zhao Zhang Libang Zhang Daxin Wang Qing Cui Fuzhen Zhuang 95 2 0 17 Jan 2025
Understanding Encoder-Decoder Structures in Machine Learning Using Information Measures Jorge F. Silva Victor Faraggi Camilo Ramírez Álvaro F. Egaña Eduardo Pavez 25 1 0 30 May 2024
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models Josip Jukić Jan Snajder 53 0 0 31 Mar 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures Paul Viallard Rémi Emonet Amaury Habrard Emilie Morvant Valentina Zantedeschi 39 3 0 19 Feb 2024
Group Distributionally Robust Dataset Distillation with Risk Minimization Saeed Vahidian Mingyu Wang Jianyang Gu Vyacheslav Kungurtsev Wei Jiang Yiran Chen OOD DD 43 6 0 07 Feb 2024
Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges Peifeng Gao Qianqian Xu Yibo Yang Peisong Wen Huiyang Shao Zhiyong Yang Guohao Li Qingming Huang AAML 31 3 0 12 Oct 2023
AMPLIFY:Attention-based Mixup for Performance Improvement and Label Smoothing in Transformer Leixin Yang Yu Xiang 31 0 0 22 Sep 2023
RecRec: Algorithmic Recourse for Recommender Systems Sahil Verma Ashudeep Singh Varich Boonsanong John P. Dickerson Chirag Shah 35 1 0 28 Aug 2023
Layer-wise Linear Mode Connectivity Linara Adilova Maksym Andriushchenko Michael Kamp Asja Fischer Martin Jaggi FedML FAtt MoMe 43 15 0 13 Jul 2023
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion Yige Yuan Bingbing Xu Bo Lin Liang Hou Fei Sun Huawei Shen Xueqi Cheng DiffM 31 4 0 25 May 2023
Policy Gradient for Rectangular Robust Markov Decision Processes Navdeep Kumar E. Derman M. Geist Kfir Y. Levy Shie Mannor 26 20 0 31 Jan 2023
Stretched and measured neural predictions of complex network dynamics V. Vasiliauskaite Nino Antulov-Fantulin 38 1 0 12 Jan 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 48 23 0 29 Dec 2022
Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks Yanhua Liu Xitong Zhang I. Tsvankin Youzuo Lin 17 1 0 08 Dec 2022
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network Iordanis Fostiropoulos Laurent Itti 45 1 0 26 Nov 2022
Renewing Iterative Self-labeling Domain Adaptation with Application to the Spine Motion Prediction Gecheng Chen Yu Zhou Xudong Zhang Rui Tuo 27 1 0 14 Nov 2022
On the Algorithmic Stability and Generalization of Adaptive Optimization Methods Han Nguyen Hai Pham Sashank J. Reddi Barnabas Poczos ODL AI4CE 27 2 0 08 Nov 2022
MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation Zeming Dong Qiang Hu Yuejun Guo Maxime Cordy Mike Papadakis Zhenya Zhang Yves Le Traon Jianjun Zhao 38 8 0 06 Oct 2022
Deep Metric Learning with Chance Constraints Y. Z. Gürbüz Ogul Can A. Aydin Alatan 29 2 0 19 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo Li Ding Zhao 79 45 0 16 Sep 2022
Annealing Optimization for Progressive Learning with Stochastic Approximation Christos N. Mavridis John S. Baras 28 10 0 06 Sep 2022
On the generalization of learning algorithms that do not converge N. Chandramoorthy Andreas Loukas Khashayar Gatmiry Stefanie Jegelka MLT 23 11 0 16 Aug 2022
AI Augmented Edge and Fog Computing: Trends and Challenges Shreshth Tuli Fatemeh Mirhakimi Samodha Pallewatta Syed Zawad G. Casale B. Javadi Feng Yan Rajkumar Buyya N. Jennings 29 56 0 01 Aug 2022
Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders Jiahao Qi Z. Gong Xingyue Liu Kangcheng Bin Chen Chen Yongqiang Li Wei Xue Yu Zhang P. Zhong AAML 42 6 0 16 Jul 2022
Integral Probability Metrics PAC-Bayes Bounds Ron Amit Baruch Epstein Shay Moran Ron Meir 34 18 0 01 Jul 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 28 57 0 15 Jun 2022
Fast Rate Generalization Error Bounds: Variations on a Theme Xuetong Wu J. Manton U. Aickelin Jingge Zhu 32 7 0 06 May 2022
Tighter Expected Generalization Error Bounds via Convexity of Information Measures Gholamali Aminian Yuheng Bu G. Wornell Miguel R. D. Rodrigues 16 22 0 24 Feb 2022
Properties of Minimizing Entropy Xu Ji Lena Nehale-Ezzine Maksym Korablyov 29 0 0 06 Dec 2021
Block Contextual MDPs for Continual Learning Shagun Sodhani Franziska Meier Joelle Pineau Amy Zhang CLL 43 26 0 13 Oct 2021
Continuous-Time Fitted Value Iteration for Robust Policies M. Lutter Boris Belousov Shie Mannor Dieter Fox Animesh Garg Jan Peters 12 9 0 05 Oct 2021
Trustworthy AI: From Principles to Practices Bo Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 357 0 04 Oct 2021
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture Kaichen Zhou Lanqing Hong Shuailiang Hu Fengwei Zhou Binxin Ru Jiashi Feng Zhenguo Li 62 10 0 13 Sep 2021
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks El Mehdi Achour Franccois Malgouyres Franck Mamalet 21 21 0 12 Aug 2021
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information Gholamali Aminian Yuheng Bu Laura Toni M. Rodrigues G. Wornell 30 4 0 28 Jul 2021
Discrete-Valued Neural Communication Dianbo Liu DianboLiu Alex Lamb Kenji Kawaguchi Anirudh Goyal Chen Sun Michael C. Mozer Yoshua Bengio 26 50 0 06 Jul 2021
Improved OOD Generalization via Adversarial Training and Pre-training Mingyang Yi Lu Hou Jiacheng Sun Lifeng Shang Xin Jiang Qun Liu Zhi-Ming Ma VLM 33 83 0 24 May 2021
Online Deterministic Annealing for Classification and Clustering Christos N. Mavridis John S. Baras ODL 27 17 0 11 Feb 2021
A Comprehensive Evaluation Framework for Deep Model Robustness Jun Guo Wei Bao Jiakai Wang Yuqing Ma Xing Gao Gang Xiao Aishan Liu Zehao Zhao Xianglong Liu Wenjun Wu AAML ELM 38 55 0 24 Jan 2021
Semantically Robust Unpaired Image Translation for Data with Unmatched Semantics Statistics Zhiwei Jia Bodi Yuan Kangkang Wang Hong Wu David Clifford Zhiqiang Yuan Hao Su VLM 44 21 0 09 Dec 2020
Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms Gholamali Aminian Laura Toni M. Rodrigues 22 29 0 23 Oct 2020
A Flatter Loss for Bias Mitigation in Cross-dataset Facial Age Estimation A. Akbari Muhammad Awais Zhenhua Feng Ammarah Farooq J. Kittler CVBM 33 11 0 20 Oct 2020
How Does Mixup Help With Robustness and Generalization? Linjun Zhang Zhun Deng Kenji Kawaguchi Amirata Ghorbani James Zou AAML 47 244 0 09 Oct 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation Sicheng Zhao Xiangyu Yue Shanghang Zhang Bo Li Han Zhao ... Ravi Krishna Joseph E. Gonzalez Alberto L. Sangiovanni-Vincentelli S. Seshia Kurt Keutzer 47 264 0 01 Sep 2020
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification Chen Dan Yuting Wei Pradeep Ravikumar 26 45 0 29 Jun 2020
Calibrated Surrogate Losses for Adversarially Robust Classification Han Bao Clayton Scott Masashi Sugiyama 34 45 0 28 May 2020
A survey on domain adaptation theory: learning bounds and theoretical guarantees I. Redko Emilie Morvant Amaury Habrard M. Sebban Younès Bennani OOD 22 133 0 24 Apr 2020
On the interplay between physical and content priors in deep learning for computational imaging Mo Deng Shuai Li Iksung Kang N. Fang George Barbastathis 39 26 0 14 Apr 2020
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models Lin Chen Yifei Min Mingrui Zhang Amin Karbasi OOD 38 64 0 11 Feb 2020