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Spectrally-normalized margin bounds for neural networks

26 June 2017

Papers citing "Spectrally-normalized margin bounds for neural networks"

50 / 811 papers shown

Title
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning Lorenzo Bonicelli Matteo Boschini Angelo Porrello C. Spampinato Simone Calderara CLL 72 48 0 12 Oct 2022
On the Importance of Gradient Norm in PAC-Bayesian Bounds Itai Gat Yossi Adi Alex Schwing Tamir Hazan BDL 97 6 0 12 Oct 2022
Generalization Properties of Retrieval-based Models Soumya Basu A. S. Rawat Manzil Zaheer 65 6 0 06 Oct 2022
Dynamical systems' based neural networks E. Celledoni Davide Murari B. Owren Carola-Bibiane Schönlieb Ferdia Sherry OOD 131 11 0 05 Oct 2022
Self-Distillation for Further Pre-training of Transformers Seanie Lee Minki Kang Juho Lee Sung Ju Hwang Kenji Kawaguchi 96 8 0 30 Sep 2022
Why neural networks find simple solutions: the many regularizers of geometric complexity Benoit Dherin Michael Munn M. Rosca David Barrett 133 31 0 27 Sep 2022
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL Fengzhuo Zhang Boyi Liu Kaixin Wang Vincent Y. F. Tan Zhuoran Yang Zhaoran Wang OffRL LRM 94 10 0 20 Sep 2022
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks Yunwen Lei Rong Jin Yiming Ying MLT 100 19 0 19 Sep 2022
Generalization Properties of NAS under Activation and Skip Connection Search Zhenyu Zhu Fanghui Liu Grigorios G. Chrysos Volkan Cevher AI4CE 90 17 0 15 Sep 2022
Small Transformers Compute Universal Metric Embeddings Anastasis Kratsios Valentin Debarnot Ivan Dokmanić 126 11 0 14 Sep 2022
Test-Time Adaptation with Principal Component Analysis Thomas Cordier Victor Bouvier Gilles Hénaff C´eline Hudelot TTA 62 1 0 13 Sep 2022
Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy Cuong N.Nguyen L. Ho Vu C. Dinh Tal Hassner Cuong V.Nguyen 64 4 0 13 Sep 2022
Bounding the Rademacher Complexity of Fourier neural operators Taeyoung Kim Myung-joo Kang AI4CE 57 9 0 12 Sep 2022
Generalisation under gradient descent via deterministic PAC-Bayes Eugenio Clerico Tyler Farghly George Deligiannidis Benjamin Guedj Arnaud Doucet 152 4 0 06 Sep 2022
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models Zhaorui Zhang Xiang-Rong Sheng Yujing Zhang Biye Jiang Shuguang Han Hongbo Deng Bo Zheng CML 109 38 0 04 Sep 2022
Model Transparency and Interpretability : Survey and Application to the Insurance Industry Dimitri Delcaillau Antoine Ly Alizé Papp Franck Vermet AI4CE 53 12 0 01 Sep 2022
Super-model ecosystem: A domain-adaptation perspective Fengxiang He Dacheng Tao DiffM 84 1 0 30 Aug 2022
On the Implicit Bias in Deep-Learning Algorithms Gal Vardi FedML AI4CE 101 81 0 26 Aug 2022
Adversarial Bayesian Simulation YueXing Wang Veronika Rovcková GAN BDL 100 5 0 25 Aug 2022
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification Quanshi Zhang Xu Cheng Yilan Chen Zhefan Rao 56 36 0 18 Aug 2022
On the generalization of learning algorithms that do not converge N. Chandramoorthy Andreas Loukas Khashayar Gatmiry Stefanie Jegelka MLT 91 11 0 16 Aug 2022
Neural-Rendezvous: Provably Robust Guidance and Control to Encounter Interstellar Objects Hiroyasu Tsukamoto Soon-Jo Chung Benjamin P. S. Donitz M. Ingham D. Mages Yashwanth Kumar Nakka BDL 56 1 0 09 Aug 2022
On Rademacher Complexity-based Generalization Bounds for Deep Learning Lan V. Truong MLT 114 13 0 08 Aug 2022
Formal Algorithms for Transformers Mary Phuong Marcus Hutter 62 75 0 19 Jul 2022
On the Study of Sample Complexity for Polynomial Neural Networks Chao Pan Chuanyi Zhang CVBM 56 1 0 18 Jul 2022
HyperInvariances: Amortizing Invariance Learning Ruchika Chavhan Henry Gouk Jan Stuhmer Timothy M. Hospedales 25 0 0 17 Jul 2022
Lipschitz Continuity Retained Binary Neural Network Yuzhang Shang Dan Xu Bin Duan Ziliang Zong Liqiang Nie Yan Yan 84 19 0 13 Jul 2022
Predicting Out-of-Domain Generalization with Neighborhood Invariance Nathan Ng Neha Hulkund Kyunghyun Cho Marzyeh Ghassemi OOD 52 5 0 05 Jul 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 89 11 0 04 Jul 2022
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity Jianyi Yang Shaolei Ren 78 3 0 02 Jul 2022
Bridging Mean-Field Games and Normalizing Flows with Trajectory Regularization Han Huang Jiajia Yu Jie Chen Rongjie Lai AI4CE 68 18 0 30 Jun 2022
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift Christina Baek Yiding Jiang Aditi Raghunathan Zico Kolter 108 88 0 27 Jun 2022
Neural Moving Horizon Estimation for Robust Flight Control Bingheng Wang Zhengtian Ma Shupeng Lai Lin Zhao 94 23 0 21 Jun 2022
When Does Re-initialization Work? Sheheryar Zaidi Tudor Berariu Hyunjik Kim J. Bornschein Claudia Clopath Yee Whye Teh Razvan Pascanu 68 11 0 20 Jun 2022
On the Role of Generalization in Transferability of Adversarial Examples Yilin Wang Farzan Farnia AAML 83 11 0 18 Jun 2022
Methods for Estimating and Improving Robustness of Language Models Michal Stefánik 57 3 0 16 Jun 2022
Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence Margalit Glasgow Colin Wei Mary Wootters Tengyu Ma 94 5 0 16 Jun 2022
Benefits of Additive Noise in Composing Classes with Bounded Capacity A. F. Pour H. Ashtiani 66 3 0 14 Jun 2022
Toward Student-Oriented Teacher Network Training For Knowledge Distillation Chengyu Dong Liyuan Liu Jingbo Shang 74 7 0 14 Jun 2022
Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning S. Shrestha Xiao Fu Mingyi Hong 25 14 0 11 Jun 2022
Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion Chengli Tan Jiang Zhang Junmin Liu 78 1 0 09 Jun 2022
Generalization Error Bounds for Deep Neural Networks Trained by SGD Mingze Wang Chao Ma 33 14 0 07 Jun 2022
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees Haotian Ju Dongyue Li Hongyang R. Zhang 126 30 0 06 Jun 2022
An Optimal Transport Approach to Personalized Federated Learning Farzan Farnia Amirhossein Reisizadeh Ramtin Pedarsani Ali Jadbabaie OT OOD FedML 100 14 0 06 Jun 2022
On the Generalization of Wasserstein Robust Federated Learning Tung Nguyen Tuan Dung Nguyen Long Tan Le Canh T. Dinh N. H. Tran OOD FedML 92 6 0 03 Jun 2022
VC Theoretical Explanation of Double Descent Eng Hock Lee V. Cherkassky 57 3 0 31 May 2022
Long-Tailed Learning Requires Feature Learning T. Laurent J. V. Brecht Xavier Bresson VLM 69 1 0 29 May 2022
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior Jun Yu Li Xu Luo Jian Li 80 4 0 27 May 2022
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently Haoyuan Sun Kwangjun Ahn Christos Thrampoulidis Navid Azizan OOD 58 22 0 25 May 2022
Towards Size-Independent Generalization Bounds for Deep Operator Nets Pulkit Gopalani Sayar Karmakar Dibyakanti Kumar Anirbit Mukherjee AI4CE 66 5 0 23 May 2022