Deep Learning for Classical Japanese Literature

3 December 2018

Papers citing "Deep Learning for Classical Japanese Literature"

45 / 145 papers shown

Title
Learning from Similarity-Confidence Data Yuzhou Cao Lei Feng Yitian Xu Bo An Gang Niu Masashi Sugiyama 27 17 0 13 Feb 2021
When and How Mixup Improves Calibration Linjun Zhang Zhun Deng Kenji Kawaguchi James Zou UQCV 36 67 0 11 Feb 2021
Deep Learning with Label Differential Privacy Badih Ghazi Noah Golowich Ravi Kumar Pasin Manurangsi Chiyuan Zhang 49 147 0 11 Feb 2021
A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks Mateus Roder L. A. Passos L. C. Ribeiro C. R. Pereira João Paulo Papa 19 1 0 17 Jan 2021
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 61 56 0 29 Dec 2020
Feature Space Singularity for Out-of-Distribution Detection Haiwen Huang Zhihan Li Lulu Wang Sishuo Chen Bin Dong Xinyu Zhou OODD 22 65 0 30 Nov 2020
Generalized Variational Continual Learning Noel Loo S. Swaroop Richard Turner BDL CLL 33 58 0 24 Nov 2020
CatFedAvg: Optimising Communication-efficiency and Classification Accuracy in Federated Learning D. Sarkar Sumit Rai Ankur Narang FedML 26 2 0 14 Nov 2020
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? Anna-Kathrin Kopetzki Bertrand Charpentier Daniel Zügner Sandhya Giri Stephan Günnemann 25 45 0 28 Oct 2020
Dataset Dynamics via Gradient Flows in Probability Space David Alvarez-Melis Nicolò Fusi 29 18 0 24 Oct 2020
Classification with Rejection Based on Cost-sensitive Classification Nontawat Charoenphakdee Zhenghang Cui Yivan Zhang Masashi Sugiyama 80 65 0 22 Oct 2020
Principled Interpolation in Normalizing Flows Samuel G. Fadel Sebastian Mair Ricardo da S. Torres Ulf Brefeld 83 3 0 22 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
Pointwise Binary Classification with Pairwise Confidence Comparisons Lei Feng Senlin Shu Nan Lu Bo Han Miao Xu Gang Niu Bo An Masashi Sugiyama 36 22 0 05 Oct 2020
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation Xingchao Peng Yichen Li Kate Saenko 22 32 0 17 Jul 2020
Sequential Explanations with Mental Model-Based Policies A. Yeung Shalmali Joshi Joseph Jay Williams Frank Rudzicz FAtt LRM 36 15 0 17 Jul 2020
Provably Consistent Partial-Label Learning Lei Feng Jiaqi Lv Bo Han Miao Xu Gang Niu Xin Geng Bo An Masashi Sugiyama 33 141 0 17 Jul 2020
Attraction-Repulsion Spectrum in Neighbor Embeddings Jan Niklas Böhm Philipp Berens D. Kobak 34 53 0 17 Jul 2020
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks Meet P. Vadera Adam D. Cobb B. Jalaeian Benjamin M. Marlin BDL UQCV 27 16 0 08 Jul 2020
A One-step Approach to Covariate Shift Adaptation Tianyi Zhang Ikko Yamane Nan Lu Masashi Sugiyama OOD 11 23 0 08 Jul 2020
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts Bertrand Charpentier Daniel Zügner Stephan Günnemann UQCV UD EDL BDL 32 169 0 16 Jun 2020
Depth Uncertainty in Neural Networks Javier Antorán J. Allingham José Miguel Hernández-Lobato UQCV OOD BDL 46 100 0 15 Jun 2020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks Roman Pogodin P. Latham 27 34 0 12 Jun 2020
All your loss are belong to Bayes Christian J. Walder Richard Nock 16 5 0 08 Jun 2020
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks Meet P. Vadera B. Jalaeian Benjamin M. Marlin BDL FedML UQCV 17 20 0 16 May 2020
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations Richard Meyes Constantin Waubert de Puiseau Andres Felipe Posada-Moreno Tobias Meisen AI4CE 30 21 0 02 Apr 2020
TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks Xinyu Liu Xiaoguang Di 27 59 0 22 Mar 2020
Lifelong Learning with Searchable Extension Units Wenjin Wang Yunqing Hu Yin Zhang KELM CLL 13 3 0 19 Mar 2020
Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning Christopher Zach Huu Le 36 4 0 12 Mar 2020
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks Xiangrui Li X. Li Deng Pan D. Zhu 22 19 0 04 Mar 2020
Fast Predictive Uncertainty for Classification with Bayesian Deep Networks Marius Hobbhahn Agustinus Kristiadi Philipp Hennig BDL UQCV 78 32 0 02 Mar 2020
Progressive Identification of True Labels for Partial-Label Learning Jiaqi Lv Miao Xu Lei Feng Gang Niu Xin Geng Masashi Sugiyama 19 177 0 19 Feb 2020
Geometric Dataset Distances via Optimal Transport David Alvarez-Melis Nicolò Fusi OT 88 195 0 07 Feb 2020
Learning with Multiple Complementary Labels Lei Feng Takuo Kaneko Bo Han Gang Niu Bo An Masashi Sugiyama 20 92 0 30 Dec 2019
Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker Nicholas Roberts Vinay Uday Prabhu Matthew McAteer 13 18 0 19 Dec 2019
Insights into Ordinal Embedding Algorithms: A Systematic Evaluation L. C. Vankadara Siavash Haghiri Michael Lohaus Faiz Ul Wahab U. V. Luxburg 18 8 0 03 Dec 2019
KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep Learning Tarin Clanuwat Alex Lamb A. Kitamoto 16 45 0 21 Oct 2019
KerCNNs: biologically inspired lateral connections for classification of corrupted images Noemi Montobbio L. Bonnasse-Gahot G. Citti A. Sarti 24 10 0 18 Oct 2019
Locally adaptive activation functions with slope recovery term for deep and physics-informed neural networks Ameya Dilip Jagtap Kenji Kawaguchi George Karniadakis ODL 29 85 0 25 Sep 2019
Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? Martin Mundt Iuliia Pliushch Sagnik Majumder Visvanathan Ramesh UQCV EDL 23 40 0 26 Aug 2019
The Convolutional Tsetlin Machine Ole-Christoffer Granmo Sondre Glimsdal Lei Jiao M. G. Olsen C. Omlin G. T. Berge 14 80 0 23 May 2019
Interpolation Consistency Training for Semi-Supervised Learning Vikas Verma Kenji Kawaguchi Alex Lamb Arno Solin Arno Solin Yoshua Bengio David Lopez-Paz 39 757 0 09 Mar 2019
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 32 226 0 20 Jan 2019
Limited Gradient Descent: Learning With Noisy Labels Yi Sun Yan Tian Yiping Xu Jianxiang Li NoLa 35 13 0 20 Nov 2018
StackNet: Stacking Parameters for Continual learning Jangho Kim Jeesoo Kim Nojun Kwak CLL 27 6 0 07 Sep 2018