Exploring Generalization in Deep Learning

27 June 2017

Srinadh Bhojanapalli

Papers citing "Exploring Generalization in Deep Learning"

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Title
Understanding Instance-Level Label Noise: Disparate Impacts and Treatments Yang Liu NoLa 8 35 0 10 Feb 2021
Stability of SGD: Tightness Analysis and Improved Bounds Yikai Zhang Wenjia Zhang Sammy Bald Vamsi Pingali Chao Chen Mayank Goswami MLT 27 36 0 10 Feb 2021
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior Tianyu Liu Jie Lu Zheng Yan Guangquan Zhang 24 12 0 07 Feb 2021
Effects of quantum resources on the statistical complexity of quantum circuits Kaifeng Bu D. E. Koh Lu Li Qingxian Luo Yaobo Zhang 22 13 0 05 Feb 2021
Painless step size adaptation for SGD I. Kulikovskikh Tarzan Legović 28 0 0 01 Feb 2021
Deep Learning Generalization and the Convex Hull of Training Sets Roozbeh Yousefzadeh 22 20 0 25 Jan 2021
Leveraging Local Variation in Data: Sampling and Weighting Schemes for Supervised Deep Learning Paul Novello Gaël Poëtte D. Lugato P. Congedo 19 0 0 19 Jan 2021
Phases of learning dynamics in artificial neural networks: with or without mislabeled data Yu Feng Y. Tu 33 2 0 16 Jan 2021
Robustness to Augmentations as a Generalization metric Sumukh K Aithal D. Kashyap Natarajan Subramanyam OOD 11 18 0 16 Jan 2021
On the statistical complexity of quantum circuits Kaifeng Bu D. E. Koh Lu Li Qingxian Luo Yaobo Zhang 53 43 0 15 Jan 2021
A Brief Survey of Associations Between Meta-Learning and General AI Huimin Peng 8 3 0 12 Jan 2021
BN-invariant sharpness regularizes the training model to better generalization Mingyang Yi Huishuai Zhang Wei Chen Zhi-Ming Ma Tie-Yan Liu 33 3 0 08 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 37 2 0 04 Jan 2021
Understanding Decoupled and Early Weight Decay Johan Bjorck Kilian Q. Weinberger Carla P. Gomes 17 26 0 27 Dec 2020
Predicting Generalization in Deep Learning via Metric Learning -- PGDL Shared task Sebastian Mežnar Blaž Škrlj FedML 8 0 0 16 Dec 2020
Study on the Large Batch Size Training of Neural Networks Based on the Second Order Gradient Fengli Gao Huicai Zhong ODL 20 9 0 16 Dec 2020
Grounding Artificial Intelligence in the Origins of Human Behavior Eleni Nisioti Clément Moulin-Frier AI4CE 47 5 0 15 Dec 2020
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning Yiding Jiang Pierre Foret Scott Yak Daniel M. Roy H. Mobahi Gintare Karolina Dziugaite Samy Bengio Suriya Gunasekar Isabelle M Guyon Behnam Neyshabur Google Research OOD 24 55 0 14 Dec 2020
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints X. Li Xiangrui Li Deng Pan D. Zhu AAML 21 17 0 14 Dec 2020
Recent Theoretical Advances in Non-Convex Optimization Marina Danilova Pavel Dvurechensky Alexander Gasnikov Eduard A. Gorbunov Sergey Guminov Dmitry Kamzolov Innokentiy Shibaev 33 77 0 11 Dec 2020
Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization Navid Hashemi Justin Ruths Mahyar Fazlyab 11 22 0 10 Dec 2020
Concept Generalization in Visual Representation Learning Mert Bulent Sariyildiz Yannis Kalantidis Diane Larlus Alahari Karteek SSL 35 50 0 10 Dec 2020
Adversarial Meta-Learning of Gamma-Minimax Estimators That Leverage Prior Knowledge Hongxiang Qiu Alexander Luedtke 17 0 0 10 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting Hongxin Wei Lei Feng R. Wang Bo An NoLa 27 6 0 09 Dec 2020
Implicit Regularization in ReLU Networks with the Square Loss Gal Vardi Ohad Shamir 16 48 0 09 Dec 2020
Solving Inverse Problems for Spectral Energy Distributions with Deep Generative Networks Agapi Rissaki Orestis Pavlou Dimitris Fotakis V. P. Lesta A. Efstathiou GAN 18 0 0 09 Dec 2020
On 1/n neural representation and robustness Josue Nassar Piotr A. Sokól SueYeon Chung K. Harris Il Memming Park AAML OOD 24 23 0 08 Dec 2020
Generalization bounds for deep learning Guillermo Valle Pérez A. Louis BDL 13 44 0 07 Dec 2020
Why Unsupervised Deep Networks Generalize Anita de Mello Koch E. Koch R. Koch OOD 16 8 0 07 Dec 2020
Adaptive Deep Learning for Entity Resolution by Risk Analysis Zhaoqiang Chen Qun Chen Youcef Nafa Tianyi Duan Wei Pan Lijun Zhang Zhanhuai Li 11 8 0 07 Dec 2020
Characterization of Excess Risk for Locally Strongly Convex Population Risk Mingyang Yi Ruoyu Wang Zhi-Ming Ma 14 2 0 04 Dec 2020
Ranking Neural Checkpoints Yandong Li Xuhui Jia Ruoxin Sang Yukun Zhu Bradley Green Liqiang Wang Boqing Gong FedML ELM UQCV 35 47 0 23 Nov 2020
Variational Laplace for Bayesian neural networks Ali Unlu Laurence Aitchison UQCV BDL 6 0 0 20 Nov 2020
Robot Gaining Accurate Pouring Skills through Self-Supervised Learning and Generalization Yongqiang Huang Juan Wilches Yu Sun SSL 25 22 0 19 Nov 2020
Combining Self-Supervised and Supervised Learning with Noisy Labels Yongqi Zhang Hui Zhang Quanming Yao Jun Wan NoLa SSL 13 0 0 16 Nov 2020
Chaos and Complexity from Quantum Neural Network: A study with Diffusion Metric in Machine Learning S. Choudhury Ankan Dutta Debisree Ray 22 21 0 16 Nov 2020
A Random Matrix Theory Approach to Damping in Deep Learning Diego Granziol Nicholas P. Baskerville AI4CE ODL 29 2 0 15 Nov 2020
Neural Abstract Reasoner Victor Kolev B. Georgiev Svetlin Penkov NAI 15 10 0 12 Nov 2020
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian Jack Parker-Holder Luke Metz Cinjon Resnick Hengyuan Hu Adam Lerer Alistair Letcher A. Peysakhovich Aldo Pacchiano Jakob N. Foerster 8 24 0 12 Nov 2020
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting Zeke Xie Fengxiang He Shaopeng Fu Issei Sato Dacheng Tao Masashi Sugiyama 21 60 0 12 Nov 2020
SALR: Sharpness-aware Learning Rate Scheduler for Improved Generalization Xubo Yue Maher Nouiehed Raed Al Kontar ODL 22 4 0 10 Nov 2020
Geometry Perspective Of Estimating Learning Capability Of Neural Networks Ankan Dutta Arnab Rakshit 6 1 0 03 Nov 2020
The power of quantum neural networks Amira Abbas David Sutter Christa Zoufal Aurelien Lucchi Alessio Figalli Stefan Woerner 33 726 0 30 Oct 2020
Understanding the Failure Modes of Out-of-Distribution Generalization Vaishnavh Nagarajan Anders Andreassen Behnam Neyshabur OOD OODD 19 176 0 29 Oct 2020
Compressive Sensing and Neural Networks from a Statistical Learning Perspective Arash Behboodi Holger Rauhut Ekkehard Schnoor 6 18 0 29 Oct 2020
Examining the causal structures of deep neural networks using information theory Simon Mattsson Eric J. Michaud Erik P. Hoel 14 9 0 26 Oct 2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks Hao Tang Zhiao Huang Jiayuan Gu Bao-Liang Lu Hao Su AI4CE 25 9 0 26 Oct 2020
Train simultaneously, generalize better: Stability of gradient-based minimax learners Farzan Farnia Asuman Ozdaglar 31 47 0 23 Oct 2020
Deep Learning is Singular, and That's Good Daniel Murfet Susan Wei Biwei Huang Hui Li Jesse Gell-Redman T. Quella UQCV 24 26 0 22 Oct 2020
Layer-wise Characterization of Latent Information Leakage in Federated Learning Fan Mo Anastasia Borovykh Mohammad Malekzadeh Hamed Haddadi Soteris Demetriou FedML 14 31 0 17 Oct 2020