Methods › General › Regularization › Dropout › Papers, page 275

Dropout

Papers archive 2025-07-28

archive papers tagged: 27,472 · with a code link: 12,129 · where Syntology ran a sample: 3,620 (3,044 with a run with no instrument failure, 576 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (3,620 of 27,472 tagged: 3,044 with a run with no instrument failure, 576 where every run was a failure of Syntology's instrument)

Page 275 of 275: papers 27,401 to 27,472 of 27,472, newest first by the archive's date (ties by slug), in archive order.

Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.

• Improving Back-Propagation by Adding an Adversarial Gradient
  14 Oct 2015 · 1 repository · arXiv:1510.04189
• Where Is My Puppy? Retrieving Lost Dogs by Facial Features
  9 Oct 2015 · 0 repositories · arXiv:1510.02781
• Efficient Object Detection for High Resolution Images
  5 Oct 2015 · 0 repositories · arXiv:1510.01257
• Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
  1 Oct 2015 · 15 repositories · arXiv:1510.00149
  Syntology 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 4 harvested samples) · 1 pointer-only (licence)
• Fast Algorithms for Convolutional Neural Networks
  30 Sep 2015 · 5 repositories · arXiv:1509.09308
  Syntology 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
• Very Deep Multilingual Convolutional Neural Networks for LVCSR
  29 Sep 2015 · 0 repositories · arXiv:1509.08967
• Feature Evaluation of Deep Convolutional Neural Networks for Object Recognition and Detection
  25 Sep 2015 · 0 repositories · arXiv:1509.07627
• Tensorizing Neural Networks
  22 Sep 2015 · 4 repositories · arXiv:1509.06569
  Syntology community repositories only · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Parallel Dither and Dropout for Regularising Deep Neural Networks
  28 Aug 2015 · 0 repositories · arXiv:1508.07130
• Dither is Better than Dropout for Regularising Deep Neural Networks
  19 Aug 2015 · 0 repositories · arXiv:1508.04826
• Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path
  15 Aug 2015 · 0 repositories · arXiv:1508.03720
• Bayesian Dropout
  12 Aug 2015 · 0 repositories · arXiv:1508.02905
• Dropout Training for SVMs with Data Augmentation
  10 Aug 2015 · 0 repositories · arXiv:1508.02268
• Land Use Classification in Remote Sensing Images by Convolutional Neural Networks
  1 Aug 2015 · 0 repositories · arXiv:1508.00092
• A Visual Embedding for the Unsupervised Extraction of Abstract Semantics
  31 Jul 2015 · 0 repositories · arXiv:1507.08818
• Flip-Rotate-Pooling Convolution and Split Dropout on Convolution Neural Networks for Image Classification
  31 Jul 2015 · 0 repositories · arXiv:1507.08754
• Data-free parameter pruning for Deep Neural Networks
  22 Jul 2015 · 0 repositories · arXiv:1507.06149
• Fast Adaptive Weight Noise
  19 Jul 2015 · 0 repositories · arXiv:1507.05331
• Batch Normalization: Accelerating Deep Network Training byReducing Internal Covariate Shift
  7 Jul 2015 · 0 repositories
• Dropout as data augmentation
  29 Jun 2015 · 0 repositories · arXiv:1506.08700
• Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
  18 Jun 2015 · 1 repository · arXiv:1506.05751
• Deep Convolutional Networks on Graph-Structured Data
  16 Jun 2015 · 3 repositories · arXiv:1506.05163
  Syntology 7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 7 harvested samples)
• Spectral Representations for Convolutional Neural Networks
  11 Jun 2015 · 0 repositories · arXiv:1506.03767
• Convergence rates for pretraining and dropout: Guiding learning parameters using network structure
  10 Jun 2015 · 0 repositories · arXiv:1506.03412
• Teaching Machines to Read and Comprehend
  10 Jun 2015 · 12 repositories · arXiv:1506.03340
  Syntology community repositories only · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 2 harvested samples)
• Fast ConvNets Using Group-wise Brain Damage
  8 Jun 2015 · 0 repositories · arXiv:1506.02515
• Learning both Weights and Connections for Efficient Neural Networks
  8 Jun 2015 · 8 repositories · arXiv:1506.02626
  Syntology 7 ran (of which 3 constructed an object rather than computing a result; 5 with no instrument failure: 2 honoured, 0 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified (of 8 harvested samples) · 3 pointer-only (licence)
• Variational Dropout and the Local Reparameterization Trick
  8 Jun 2015 · 12 repositories · arXiv:1506.02557
  Syntology 5 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 4 where Syntology's instrument failed) · 1 unverified (of 6 harvested samples) · 5 pointer-only (licence)
• You Only Look Once: Unified, Real-Time Object Detection
  8 Jun 2015 · 144 repositories · arXiv:1506.02640
  Syntology 89 ran (of which 27 constructed an object rather than computing a result; 59 with no instrument failure: 4 honoured, 4 violated, 51 with no contract checked; 30 where Syntology's instrument failed) · 59 unverified (of 148 harvested samples) · 98 pointer-only (licence)
• Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
  6 Jun 2015 · 3 repositories · arXiv:1506.02158
• Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
  6 Jun 2015 · 29 repositories · arXiv:1506.02142
  Syntology 4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 2 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples) · 4 pointer-only (licence)
• Cyclical Learning Rates for Training Neural Networks
  3 Jun 2015 · 53 repositories · arXiv:1506.01186
  Syntology official: no sample here; runs from other or unrecorded repositories · 15 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified (of 17 harvested samples) · 2 pointer-only (licence)
• Understanding deep features with computer-generated imagery
  3 Jun 2015 · 0 repositories · arXiv:1506.01151
• Object Detection by Labeling Superpixels
  1 Jun 2015 · 0 repositories
• The IBM 2015 English Conversational Telephone Speech Recognition System
  21 May 2015 · 0 repositories · arXiv:1505.05899
• Weight Uncertainty in Neural Networks
  20 May 2015 · 38 repositories · arXiv:1505.05424
  Syntology 12 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 4 honoured, 1 violated, 0 with no contract checked; 7 where Syntology's instrument failed) · 3 unverified (of 15 harvested samples) · 7 pointer-only (licence)
• High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature Maps
  19 May 2015 · 1 repository · arXiv:1505.04925
• Learning Deconvolution Network for Semantic Segmentation
  17 May 2015 · 5 repositories · arXiv:1505.04366
  Syntology 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 2 harvested samples) · 2 pointer-only (licence)
• Discontinuous Piecewise Polynomial Neural Networks
  15 May 2015 · 1 repository · arXiv:1505.04211
• PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions
  30 Apr 2015 · 2 repositories · arXiv:1504.08362
• Exploiting Local Features from Deep Networks for Image Retrieval
  20 Apr 2015 · 0 repositories · arXiv:1504.05133
• Training Binary Multilayer Neural Networks for Image Classification using Expectation Backpropagation
  12 Mar 2015 · 1 repository · arXiv:1503.03562
• An Improved Image Mosaicing Algorithm for Damaged Documents
  7 Mar 2015 · 0 repositories · arXiv:1503.02136
• To Drop or Not to Drop: Robustness, Consistency and Differential Privacy Properties of Dropout
  6 Mar 2015 · 0 repositories · arXiv:1503.02031
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
  11 Feb 2015 · 70 repositories · arXiv:1502.03167
  Syntology 19 ran (of which 5 constructed an object rather than computing a result; 14 with no instrument failure: 0 honoured, 0 violated, 14 with no contract checked; 5 where Syntology's instrument failed) · 2 unverified (of 21 harvested samples) · 5 pointer-only (licence)
• Efficient batchwise dropout training using submatrices
  9 Feb 2015 · 0 repositories · arXiv:1502.02478
• Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  6 Feb 2015 · 15 repositories · arXiv:1502.01852
  Syntology 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• DeepID3: Face Recognition with Very Deep Neural Networks
  3 Feb 2015 · 9 repositories · arXiv:1502.00873
• A Bayesian encourages dropout
  22 Dec 2014 · 0 repositories · arXiv:1412.7003
• Attention for Fine-Grained Categorization
  22 Dec 2014 · 0 repositories · arXiv:1412.7054
• Learning Compact Convolutional Neural Networks with Nested Dropout
  22 Dec 2014 · 0 repositories · arXiv:1412.7155
• Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
  22 Dec 2014 · 18 repositories · arXiv:1412.7062
  Syntology official: not harvested · 0 ran · 1 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• An Analysis of Unsupervised Pre-training in Light of Recent Advances
  20 Dec 2014 · 2 repositories · arXiv:1412.6597
• Neural Network Regularization via Robust Weight Factorization
  20 Dec 2014 · 0 repositories · arXiv:1412.6630
• Detecting Epileptic Seizures from EEG Data using Neural Networks
  19 Dec 2014 · 0 repositories · arXiv:1412.6502
• DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
  17 Dec 2014 · 0 repositories · arXiv:1412.5661
• Learning with Pseudo-Ensembles
  16 Dec 2014 · 0 repositories · arXiv:1412.4864
• On the Inductive Bias of Dropout
  15 Dec 2014 · 0 repositories · arXiv:1412.4736
• Theano-based Large-Scale Visual Recognition with Multiple GPUs
  7 Dec 2014 · 2 repositories · arXiv:1412.2302
• Memory Bounded Deep Convolutional Networks
  3 Dec 2014 · 0 repositories · arXiv:1412.1442
• General Stochastic Networks for Classification
  1 Dec 2014 · 0 repositories
• Global Belief Recursive Neural Networks
  1 Dec 2014 · 0 repositories
• Fully Convolutional Networks for Semantic Segmentation
  14 Nov 2014 · 51 repositories · arXiv:1411.4038
  Syntology 3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples) · 4 pointer-only (licence)
• Regularizing Recurrent Networks - On Injected Noise and Norm-based Methods
  21 Oct 2014 · 0 repositories · arXiv:1410.5684
• Deep Regression for Face Alignment
  18 Sep 2014 · 0 repositories · arXiv:1409.5230
• Going Deeper with Convolutions
  17 Sep 2014 · 83 repositories · arXiv:1409.4842
  Syntology community repositories only · 34 ran (of which 19 constructed an object rather than computing a result; 30 with no instrument failure: 0 honoured, 0 violated, 30 with no contract checked; 4 where Syntology's instrument failed) · 8 unverified (of 42 harvested samples) · 21 pointer-only (licence)
• Recurrent Neural Network Regularization
  8 Sep 2014 · 21 repositories · arXiv:1409.2329
  Syntology community repositories only · 2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified (of 6 harvested samples) · 6 pointer-only (licence)
• Very Deep Convolutional Networks for Large-Scale Image Recognition
  4 Sep 2014 · 305 repositories · arXiv:1409.1556
  Syntology 81 ran (of which 0 constructed an object rather than computing a result; 71 with no instrument failure: 0 honoured, 0 violated, 71 with no contract checked; 10 where Syntology's instrument failed) · 41 unverified (of 122 harvested samples) · 8 pointer-only (licence)
• Altitude Training: Strong Bounds for Single-Layer Dropout
  11 Jul 2014 · 0 repositories · arXiv:1407.3289
• Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
  18 Jun 2014 · 14 repositories · arXiv:1406.4729
  Syntology 0 ran · 1 unverified (of 1 harvested sample)
• Analyzing noise in autoencoders and deep networks
  6 Jun 2014 · 0 repositories · arXiv:1406.1831
• Dropout: A Simple Way to Prevent Neural Networks from Overfitting
  1 Jun 2014 · 0 repositories