Exploring Generalization in Deep Learning

27 June 2017

Srinadh Bhojanapalli

Papers citing "Exploring Generalization in Deep Learning"

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Title
On the Robustness and Generalization of Deep Learning Driven Full Waveform Inversion Chengyuan Deng Youzuo Lin OOD 20 2 0 28 Nov 2021
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks Tolga Birdal Aaron Lou Leonidas J. Guibas Umut cSimcsekli 30 61 0 25 Nov 2021
Subspace Adversarial Training Tao Li Yingwen Wu Sizhe Chen Kun Fang Xiaolin Huang AAML OOD 44 56 0 24 Nov 2021
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry M. Forghani Yizhou Qian Jonghyun Lee Matthew W. Farthing T. Hesser P. Kitanidis Eric F. Darve 19 8 0 23 Nov 2021
Tensor network to learn the wavefunction of data A. Dymarsky K. Pavlenko 21 6 0 15 Nov 2021
Discovering and Explaining the Representation Bottleneck of DNNs Huiqi Deng Qihan Ren Hao Zhang Quanshi Zhang 39 59 0 11 Nov 2021
Efficient estimates of optimal transport via low-dimensional embeddings Patric Fulop V. Danos OT 8 0 0 08 Nov 2021
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily Lun Du Xiaozhou Shi Qiang Fu Xiaojun Ma Hengyu Liu Shi Han Dongmei Zhang 40 105 0 29 Oct 2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization Sihyun Yu Sungsoo Ahn Le Song Jinwoo Shin OffRL 30 31 0 27 Oct 2021
Does the Data Induce Capacity Control in Deep Learning? Rubing Yang Jialin Mao Pratik Chaudhari 35 15 0 27 Oct 2021
In Search of Probeable Generalization Measures Jonathan Jaegerman Khalil Damouni M. M. Ankaralı Konstantinos N. Plataniotis 27 2 0 23 Oct 2021
Conditionally Gaussian PAC-Bayes Eugenio Clerico George Deligiannidis Arnaud Doucet 37 10 0 22 Oct 2021
Behavioral Experiments for Understanding Catastrophic Forgetting Samuel J. Bell Neil D. Lawrence 35 4 0 20 Oct 2021
Interpretive Blindness Nicholas M. Asher Julie Hunter 19 0 0 19 Oct 2021
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks R. Entezari Hanie Sedghi O. Saukh Behnam Neyshabur MoMe 39 217 0 12 Oct 2021
Auditing Robot Learning for Safety and Compliance during Deployment Homanga Bharadhwaj 16 3 0 12 Oct 2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning Danruo Deng Guangyong Chen Jianye Hao Qiong Wang Pheng-Ann Heng CLL AAML 22 76 0 09 Oct 2021
New Insights into Graph Convolutional Networks using Neural Tangent Kernels Mahalakshmi Sabanayagam P. Esser D. Ghoshdastidar 26 6 0 08 Oct 2021
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks Jiawei Du Hanshu Yan Jiashi Feng Qiufeng Wang Liangli Zhen Rick Siow Mong Goh Vincent Y. F. Tan AAML 113 132 0 07 Oct 2021
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting Chengyu Dong Liyuan Liu Jingbo Shang NoLa AAML 56 18 0 07 Oct 2021
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications Ziqiao Wang Yongyi Mao FedML MLT 37 22 0 07 Oct 2021
On Margin Maximization in Linear and ReLU Networks Gal Vardi Ohad Shamir Nathan Srebro 52 28 0 06 Oct 2021
VC dimension of partially quantized neural networks in the overparametrized regime Yutong Wang Clayton D. Scott 25 1 0 06 Oct 2021
Spectral Bias in Practice: The Role of Function Frequency in Generalization Sara Fridovich-Keil Raphael Gontijo-Lopes Rebecca Roelofs 41 28 0 06 Oct 2021
On the Impact of Stable Ranks in Deep Nets B. Georgiev L. Franken Mayukh Mukherjee Georgios Arvanitidis 21 3 0 05 Oct 2021
Exploring the Limits of Large Scale Pre-training Samira Abnar Mostafa Dehghani Behnam Neyshabur Hanie Sedghi AI4CE 60 114 0 05 Oct 2021
Perturbated Gradients Updating within Unit Space for Deep Learning Ching-Hsun Tseng Liu Cheng Shin-Jye Lee Xiaojun Zeng 45 5 0 01 Oct 2021
Robust Generalization of Quadratic Neural Networks via Function Identification Kan Xu Hamsa Bastani Osbert Bastani OOD 34 8 0 22 Sep 2021
When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization? Zheyuan Hu Ameya Dilip Jagtap George Karniadakis Kenji Kawaguchi AI4CE PINN 30 83 0 20 Sep 2021
Neural-IMLS: Self-supervised Implicit Moving Least-Squares Network for Surface Reconstruction Zixiong Wang Pengfei Wang Pengshuai Wang Qiujie Dong Junjie Gao Shuangmin Chen Shiqing Xin Changhe Tu Wenping Wang 38 14 0 09 Sep 2021
Adversarial Parameter Defense by Multi-Step Risk Minimization Zhiyuan Zhang Ruixuan Luo Xuancheng Ren Qi Su Liangyou Li Xu Sun AAML 25 6 0 07 Sep 2021
Excess Capacity and Backdoor Poisoning N. Manoj Avrim Blum SILM AAML 27 23 0 02 Sep 2021
Benchmarking the Robustness of Instance Segmentation Models Said Fahri Altindis Yusuf Dalva Hamza Pehlivan Aysegül Dündar VLM OOD 29 12 0 02 Sep 2021
The Impact of Reinitialization on Generalization in Convolutional Neural Networks Ibrahim M. Alabdulmohsin Hartmut Maennel Daniel Keysers AI4CE 31 20 0 01 Sep 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
Lipschitz Continuity Guided Knowledge Distillation Yuzhang Shang Bin Duan Ziliang Zong Liqiang Nie Yan Yan 17 29 0 29 Aug 2021
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective? Hiroaki Mikami Kenji Fukumizu Shogo Murai Shuji Suzuki Yuta Kikuchi Taiji Suzuki S. Maeda Kohei Hayashi 40 12 0 25 Aug 2021
Ranking Models in Unlabeled New Environments Xiaoxiao Sun Yunzhong Hou Weijian Deng Hongdong Li Liang Zheng OOD 21 9 0 23 Aug 2021
Influence-guided Data Augmentation for Neural Tensor Completion Sejoon Oh Sungchul Kim Ryan A. Rossi Srijan Kumar 28 10 0 23 Aug 2021
Fairness Properties of Face Recognition and Obfuscation Systems Harrison Rosenberg Brian Tang Kassem Fawaz S. Jha PICV 8 14 0 05 Aug 2021
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers Liam Hodgkinson Umut Simsekli Rajiv Khanna Michael W. Mahoney 24 20 0 02 Aug 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering Nairouz Mrabah Mohamed Bouguessa M. Touati Riadh Ksantini 35 62 0 19 Jul 2021
A Theory of PAC Learnability of Partial Concept Classes N. Alon Steve Hanneke R. Holzman Shay Moran 28 50 0 18 Jul 2021
Disparity Between Batches as a Signal for Early Stopping Mahsa Forouzesh Patrick Thiran 39 7 0 14 Jul 2021
Noise Stability Regularization for Improving BERT Fine-tuning Hang Hua Xingjian Li Dejing Dou Chengzhong Xu Jiebo Luo 19 43 0 10 Jul 2021
Activated Gradients for Deep Neural Networks Mei Liu Liangming Chen Xiaohao Du Long Jin Mingsheng Shang ODL AI4CE 35 135 0 09 Jul 2021
On Margins and Derandomisation in PAC-Bayes Felix Biggs Benjamin Guedj 28 20 0 08 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 39 65 0 02 Jul 2021
Assessing Generalization of SGD via Disagreement Yiding Jiang Vaishnavh Nagarajan Christina Baek J. Zico Kolter 67 108 0 25 Jun 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise Hongxin Wei Lue Tao Renchunzi Xie Bo An NoLa 27 83 0 21 Jun 2021