Generalization in Deep Learning

16 October 2017

Papers citing "Generalization in Deep Learning"

50 / 83 papers shown

Title
Do Sharpness-based Optimizers Improve Generalization in Medical Image Analysis? Mohamed Hassan Aleksandar Vakanski Min Xian AAML MedIm 41 1 0 07 Aug 2024
Information-Theoretic Generalization Bounds for Deep Neural Networks Haiyun He Christina Lee Yu 35 4 0 04 Apr 2024
Investigating Generalization Behaviours of Generative Flow Networks Lazar Atanackovic Emmanuel Bengio AI4CE 30 2 0 07 Feb 2024
Input margins can predict generalization too Coenraad Mouton Marthinus W. Theunissen Marelie Hattingh Davel AAML UQCV AI4CE 23 3 0 29 Aug 2023
Prediction Error-based Classification for Class-Incremental Learning Michal Zajkac Tinne Tuytelaars Gido M. van de Ven CLL 23 8 0 30 May 2023
Road Planning for Slums via Deep Reinforcement Learning Y. Zheng Hongyuan Su Jingtao Ding Depeng Jin Yong Li 9 13 0 22 May 2023
Deep Learning Weight Pruning with RMT-SVD: Increasing Accuracy and Reducing Overfitting Yitzchak Shmalo Jonathan Jenkins Oleksii Krupchytskyi 24 3 0 15 Mar 2023
Revisiting Variable Ordering for Real Quantifier Elimination using Machine Learning John Hester Briland Hitaj Grant Passmore S. Owre N. Shankar Eric Yeh 9 1 0 27 Feb 2023
Effects of Data Geometry in Early Deep Learning Saket Tiwari George Konidaris 74 7 0 29 Dec 2022
Challenging the Universal Representation of Deep Models for 3D Point Cloud Registration David Bojanić Kristijan Bartol J. Forest Stefan Gumhold Tomislav Petković Tomislav Pribanić 3DPC 33 0 0 29 Nov 2022
The Vanishing Decision Boundary Complexity and the Strong First Component Hengshuai Yao UQCV 30 0 0 25 Nov 2022
Higher-order mutual information reveals synergistic sub-networks for multi-neuron importance Kenzo Clauw S. Stramaglia Daniele Marinazzo SSL FAtt 30 6 0 01 Nov 2022
Introducing topography in convolutional neural networks Maxime Poli Emmanuel Dupoux Rachid Riad 23 0 0 28 Oct 2022
Two-level Data Augmentation for Calibrated Multi-view Detection Martin Engilberge Haixin Shi Zhiye Wang Pascal Fua 36 9 0 19 Oct 2022
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness Haotian Ye Xiaoyu Chen Liwei Wang S. Du OffRL 24 6 0 19 Oct 2022
Stability of Accuracy for the Training of DNNs Via the Uniform Doubling Condition Yitzchak Shmalo 23 1 0 16 Oct 2022
Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy Biling Wang M. Dohopolski T. Bai Junjie Wu R. Hannan ... D. Nguyen Mu-Han Lin Robert Timmerman Xinlei Wang Steve B. Jiang 28 2 0 11 Oct 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 31 8 0 06 Oct 2022
Learning-based Design of Luenberger Observers for Autonomous Nonlinear Systems Muhammad Umar B. Niazi Johnson R. Cao Xu-yang Sun Amritam Das Karl H. Johansson OOD 15 22 0 04 Oct 2022
SELTO: Sample-Efficient Learned Topology Optimization Sören Dittmer David Erzmann Henrik Harms Peter Maass 32 2 0 12 Sep 2022
Meet You Halfway: Explaining Deep Learning Mysteries Oriel BenShmuel AAML FedML FAtt OOD 22 0 0 09 Jun 2022
Characterizing the Action-Generalization Gap in Deep Q-Learning Zhi-Hua Zhou Cameron Allen Kavosh Asadi George Konidaris 23 2 0 11 May 2022
Deep learning of quantum entanglement from incomplete measurements Dominik Koutný L. Ginés M. Moczała-Dusanowska Sven Höfling Christian Schneider Ana Predojevic M. Ježek 14 27 0 03 May 2022
Online Deep Learning from Doubly-Streaming Data H. Lian John Scovil Atwood Bo-Jian Hou Jian Wu Yi He 21 10 0 25 Apr 2022
Random matrix analysis of deep neural network weight matrices M. Thamm Max Staats B. Rosenow 29 12 0 28 Mar 2022
Small Batch Sizes Improve Training of Low-Resource Neural MT Àlex R. Atrio Andrei Popescu-Belis 29 6 0 20 Mar 2022
Trajectory Test-Train Overlap in Next-Location Prediction Datasets Massimiliano Luca Luca Pappalardo Bruno Lepri Gianni Barlacchi 22 5 0 07 Mar 2022
Can deep neural networks learn process model structure? An assessment framework and analysis Jari Peeperkorn S. vanden Broucke Jochen De Weerdt 24 7 0 24 Feb 2022
The no-free-lunch theorems of supervised learning T. Sterkenburg Peter Grünwald FedML 24 56 0 09 Feb 2022
Non-Vacuous Generalisation Bounds for Shallow Neural Networks Felix Biggs Benjamin Guedj BDL 30 26 0 03 Feb 2022
On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons Fangshuo Liao Anastasios Kyrillidis 38 16 0 05 Dec 2021
On the Effectiveness of Neural Ensembles for Image Classification with Small Datasets Lorenzo Brigato Luca Iocchi UQCV 27 0 0 29 Nov 2021
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo Lukas Koestler Nan Yang Niclas Zeller Daniel Cremers MDE 69 68 0 14 Nov 2021
Interpretive Blindness Nicholas M. Asher Julie Hunter 16 0 0 19 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 355 0 04 Oct 2021
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning Haiyun He Hanshu Yan Vincent Y. F. Tan 34 11 0 03 Oct 2021
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks Haekyu Park Nilaksh Das Rahul Duggal Austin P. Wright Omar Shaikh Fred Hohman Duen Horng Chau HAI 19 25 0 29 Aug 2021
Deep Learning Through the Lens of Example Difficulty R. Baldock Hartmut Maennel Behnam Neyshabur 47 156 0 17 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 42 24 0 11 Jun 2021
Learning distinct features helps, provably Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj MLT 36 6 0 10 Jun 2021
The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation Q. Du Yiqi Gu Haizhao Yang Chao Zhou 26 20 0 21 Mar 2021
Is it enough to optimize CNN architectures on ImageNet? Lukas Tuggener Jürgen Schmidhuber Thilo Stadelmann 25 23 0 16 Mar 2021
Neuron Coverage-Guided Domain Generalization Chris Xing Tian Haoliang Li Xiaofei Xie Yang Liu Shiqi Wang 23 35 0 27 Feb 2021
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting Hongxin Wei Lei Feng R. Wang Bo An NoLa 22 6 0 09 Dec 2020
Towards Domain-Agnostic Contrastive Learning Vikas Verma Minh-Thang Luong Kenji Kawaguchi Hieu H. Pham Quoc V. Le SSL 15 115 0 09 Nov 2020
Generalized Negative Correlation Learning for Deep Ensembling Sebastian Buschjäger Lukas Pfahler K. Morik FedML BDL UQCV 9 17 0 05 Nov 2020
An Algorithm for Learning Smaller Representations of Models With Scarce Data Adrian de Wynter 46 2 0 15 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
A Close Look at Deep Learning with Small Data Lorenzo Brigato Luca Iocchi 24 139 0 28 Mar 2020
Uncertainty Quantification for Sparse Deep Learning Yuexi Wang Veronika Rockova BDL UQCV 31 31 0 26 Feb 2020