Methods › General › Regularization › Dropout › Papers, page 274

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 274 of 275: papers 27,301 to 27,400 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.

• Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
  15 Sep 2016 · 140 repositories · arXiv:1609.04802
  Syntology 55 ran (of which 0 constructed an object rather than computing a result; 45 with no instrument failure: 3 honoured, 3 violated, 39 with no contract checked; 10 where Syntology's instrument failed) · 17 unverified (of 72 harvested samples) · 14 pointer-only (licence)
• Understanding Convolutional Neural Networks with A Mathematical Model
  14 Sep 2016 · 1 repository · arXiv:1609.04112
• VIPLFaceNet: An Open Source Deep Face Recognition SDK
  13 Sep 2016 · 0 repositories · arXiv:1609.03892
• Ternary Neural Networks for Resource-Efficient AI Applications
  1 Sep 2016 · 0 repositories · arXiv:1609.00222
• Densely Connected Convolutional Networks
  25 Aug 2016 · 146 repositories · arXiv:1608.06993
  Syntology community repositories only · 48 ran (of which 0 constructed an object rather than computing a result; 32 with no instrument failure: 1 honoured, 0 violated, 31 with no contract checked; 16 where Syntology's instrument failed) · 23 unverified (of 71 harvested samples) · 8 pointer-only (licence)
• How Image Degradations Affect Deep CNN-based Face Recognition?
  18 Aug 2016 · 0 repositories · arXiv:1608.05246
• Dynamic Network Surgery for Efficient DNNs
  16 Aug 2016 · 3 repositories · arXiv:1608.04493
• Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure
  15 Aug 2016 · 1 repository · arXiv:1608.04337
• Faster CNNs with Direct Sparse Convolutions and Guided Pruning
  4 Aug 2016 · 1 repository · arXiv:1608.01409
• Horn: A System for Parallel Training and Regularizing of Large-Scale Neural Networks
  2 Aug 2016 · 0 repositories · arXiv:1608.00781
• 25 years of CNNs: Can we compare to human abstraction capabilities?
  28 Jul 2016 · 0 repositories · arXiv:1607.08366
• Improved Deep Learning of Object Category using Pose Information
  20 Jul 2016 · 0 repositories · arXiv:1607.05836
• Learning to Recognize Objects by Retaining other Factors of Variation
  20 Jul 2016 · 0 repositories · arXiv:1607.05851
• Collaborative Layer-wise Discriminative Learning in Deep Neural Networks
  19 Jul 2016 · 0 repositories · arXiv:1607.05440
• Bag of Attributes for Video Event Retrieval
  18 Jul 2016 · 0 repositories · arXiv:1607.05208
• DSD: Dense-Sparse-Dense Training for Deep Neural Networks
  15 Jul 2016 · 2 repositories · arXiv:1607.04381
• Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging
  13 Jul 2016 · 2 repositories · arXiv:1607.03681
• Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling
  11 Jul 2016 · 1 repository · arXiv:1607.02857
• Intra-layer Nonuniform Quantization for Deep Convolutional Neural Network
  10 Jul 2016 · 0 repositories · arXiv:1607.02720
• Adjusting for Dropout Variance in Batch Normalization and Weight Initialization
  8 Jul 2016 · 1 repository · arXiv:1607.02488
• Fast Predictive Image Registration
  8 Jul 2016 · 0 repositories · arXiv:1607.02504
• NIST: An Image Classification Network to Image Semantic Retrieval
  2 Jul 2016 · 0 repositories · arXiv:1607.00464
• A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition
  22 Jun 2016 · 0 repositories · arXiv:1606.06871
• DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients
  20 Jun 2016 · 13 repositories · arXiv:1606.06160
  Syntology community repositories only · 8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 1 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified (of 13 harvested samples) · 1 pointer-only (licence)
• Predicting Student Dropout in Higher Education
  20 Jun 2016 · 0 repositories · arXiv:1606.06364
• cltorch: a Hardware-Agnostic Backend for the Torch Deep Neural Network Library, Based on OpenCL
  15 Jun 2016 · 0 repositories · arXiv:1606.04884
• Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning
  14 Jun 2016 · 0 repositories · arXiv:1606.04586
• Systematic evaluation of CNN advances on the ImageNet
  7 Jun 2016 · 1 repository · arXiv:1606.02228
• DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
  2 Jun 2016 · 47 repositories · arXiv:1606.00915
  Syntology 43 ran (of which 12 constructed an object rather than computing a result; 39 with no instrument failure: 1 honoured, 0 violated, 38 with no contract checked; 4 where Syntology's instrument failed) · 20 unverified (of 63 harvested samples) · 18 pointer-only (licence)
• Adversarial Feature Learning
  31 May 2016 · 10 repositories · arXiv:1605.09782
  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)
• Going Deeper for Multilingual Visual Sentiment Detection
  30 May 2016 · 0 repositories · arXiv:1605.09211
• Parametric Exponential Linear Unit for Deep Convolutional Neural Networks
  30 May 2016 · 0 repositories · arXiv:1605.09332
• Theano-MPI: a Theano-based Distributed Training Framework
  26 May 2016 · 1 repository · arXiv:1605.08325
• EventNet Version 1.1 Technical Report
  24 May 2016 · 0 repositories · arXiv:1605.07289
• FractalNet: Ultra-Deep Neural Networks without Residuals
  24 May 2016 · 4 repositories · arXiv:1605.07648
  Syntology 4 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; 4 where Syntology's instrument failed) · 2 unverified (of 6 harvested samples) · 1 pointer-only (licence)
• Self Paced Deep Learning for Weakly Supervised Object Detection
  24 May 2016 · 1 repository · arXiv:1605.07651
• Wide Residual Networks
  23 May 2016 · 72 repositories · arXiv:1605.07146
  Syntology official (archive's flag): 3 ran · 66 ran (of which 31 constructed an object rather than computing a result; 48 with no instrument failure: 0 honoured, 0 violated, 48 with no contract checked; 18 where Syntology's instrument failed) · 30 unverified (of 96 harvested samples) · 50 pointer-only (licence)
• Fully Convolutional Networks for Semantic Segmentation
  20 May 2016 · 37 repositories · arXiv:1605.06211
• Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks
  20 May 2016 · 2 repositories · arXiv:1605.06402
• A Theoretical Analysis of Deep Neural Networks for Texture Classification
  9 May 2016 · 0 repositories · arXiv:1605.02699
• Adversarial Diversity and Hard Positive Generation
  5 May 2016 · 0 repositories · arXiv:1605.01775
• An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments
  3 May 2016 · 0 repositories · arXiv:1605.01116
• DisturbLabel: Regularizing CNN on the Loss Layer
  30 Apr 2016 · 2 repositories · arXiv:1605.00055
• Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification
  26 Apr 2016 · 1 repository · arXiv:1604.07528
• Dependency Parsing with LSTMs: An Empirical Evaluation
  22 Apr 2016 · 0 repositories · arXiv:1604.06529
• Refining Architectures of Deep Convolutional Neural Networks
  22 Apr 2016 · 0 repositories · arXiv:1604.06832
• High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks
  15 Apr 2016 · 0 repositories · arXiv:1604.04339
• Hardware-oriented Approximation of Convolutional Neural Networks
  11 Apr 2016 · 1 repository · arXiv:1604.03168
• T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
  9 Apr 2016 · 1 repository · arXiv:1604.02532
  Syntology official (archive's flag): 1 ran · 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) · 0 unverified (of 1 harvested sample)
• A MultiPath Network for Object Detection
  7 Apr 2016 · 1 repository · arXiv:1604.02135
• Deep Online Convex Optimization with Gated Games
  7 Apr 2016 · 0 repositories · arXiv:1604.01952
• Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
  30 Mar 2016 · 9 repositories · arXiv:1603.09246
  Syntology 10 ran (of which 6 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified (of 13 harvested samples) · 7 pointer-only (licence)
• Instance-sensitive Fully Convolutional Networks
  29 Mar 2016 · 0 repositories · arXiv:1603.08678
• Learning to Refine Object Segments
  29 Mar 2016 · 2 repositories · arXiv:1603.08695
• Data Augmentation via Levy Processes
  21 Mar 2016 · 1 repository · arXiv:1603.06340
• Accelerating Deep Neural Network Training with Inconsistent Stochastic Gradient Descent
  17 Mar 2016 · 0 repositories · arXiv:1603.05544
• Recurrent Dropout without Memory Loss
  16 Mar 2016 · 2 repositories · arXiv:1603.05118
• Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
  16 Mar 2016 · 2 repositories · arXiv:1603.05201
• XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
  16 Mar 2016 · 20 repositories · arXiv:1603.05279
  Syntology 16 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 7 where Syntology's instrument failed) · 2 unverified (of 18 harvested samples) · 3 pointer-only (licence)
• vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design
  25 Feb 2016 · 4 repositories · arXiv:1602.08124
• SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
  24 Feb 2016 · 59 repositories · arXiv:1602.07360
  Syntology community repositories only · 4 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; 4 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples) · 2 pointer-only (licence)
• Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
  23 Feb 2016 · 87 repositories · arXiv:1602.07261
  Syntology 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)
• RandomOut: Using a convolutional gradient norm to rescue convolutional filters
  18 Feb 2016 · 1 repository · arXiv:1602.05931
• Surprising properties of dropout in deep networks
  14 Feb 2016 · 0 repositories · arXiv:1602.04484
• Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms
  7 Feb 2016 · 0 repositories · arXiv:1602.02389
• Improved Dropout for Shallow and Deep Learning
  6 Feb 2016 · 0 repositories · arXiv:1602.02220
• Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
  2 Feb 2016 · 1 repository · arXiv:1602.00991
• Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation
  29 Jan 2016 · 0 repositories · arXiv:1601.07977
• Factors in Finetuning Deep Model for object detection
  20 Jan 2016 · 0 repositories · arXiv:1601.05150
• Training Recurrent Neural Networks by Diffusion
  16 Jan 2016 · 0 repositories · arXiv:1601.04114
• Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks
  23 Dec 2015 · 0 repositories · arXiv:1512.07666
• Deep Learning with S-shaped Rectified Linear Activation Units
  22 Dec 2015 · 1 repository · arXiv:1512.07030
• GraphConnect: A Regularization Framework for Neural Networks
  21 Dec 2015 · 0 repositories · arXiv:1512.06757
• Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines
  19 Dec 2015 · 0 repositories · arXiv:1512.06216
• A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
  16 Dec 2015 · 14 repositories · arXiv:1512.05287
  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)
• Blockout: Dynamic Model Selection for Hierarchical Deep Networks
  16 Dec 2015 · 0 repositories · arXiv:1512.05246
• On Deep Representation Learning from Noisy Web Images
  15 Dec 2015 · 0 repositories · arXiv:1512.04785
• Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs
  14 Dec 2015 · 0 repositories · arXiv:1512.04483
• SSD: Single Shot MultiBox Detector
  8 Dec 2015 · 221 repositories · arXiv:1512.02325
  Syntology community repositories only · 93 ran (of which 0 constructed an object rather than computing a result; 79 with no instrument failure: 3 honoured, 1 violated, 75 with no contract checked; 14 where Syntology's instrument failed) · 38 unverified (of 131 harvested samples) · 9 pointer-only (licence)
• Max-Pooling Dropout for Regularization of Convolutional Neural Networks
  4 Dec 2015 · 0 repositories · arXiv:1512.01400
• Rethinking the Inception Architecture for Computer Vision
  2 Dec 2015 · 113 repositories · arXiv:1512.00567
  Syntology 20 ran (of which 0 constructed an object rather than computing a result; 19 with no instrument failure: 1 honoured, 0 violated, 18 with no contract checked; 1 where Syntology's instrument failed) · 6 unverified (of 26 harvested samples) · 5 pointer-only (licence)
• Deep Neural Decision Forests
  1 Dec 2015 · 0 repositories
• Learning both Weights and Connections for Efficient Neural Network
  1 Dec 2015 · 0 repositories
• Towards Dropout Training for Convolutional Neural Networks
  1 Dec 2015 · 0 repositories · arXiv:1512.00242
• Optimization theory of Hebbian/anti-Hebbian networks for PCA and whitening
  30 Nov 2015 · 0 repositories · arXiv:1511.09468
• Gradual DropIn of Layers to Train Very Deep Neural Networks
  22 Nov 2015 · 0 repositories · arXiv:1511.06951
• BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies
  21 Nov 2015 · 1 repository · arXiv:1511.06909
• Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
  20 Nov 2015 · 7 repositories · arXiv:1511.06530
  Syntology 2 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; 1 where Syntology's instrument failed) · 7 unverified (of 9 harvested samples) · 9 pointer-only (licence)
• All you need is a good init
  19 Nov 2015 · 11 repositories · arXiv:1511.06422
  Syntology official: harvested, nothing ran · 10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 9 unverified (of 19 harvested samples) · 2 pointer-only (licence)
• Conditional Computation in Neural Networks for faster models
  19 Nov 2015 · 1 repository · arXiv:1511.06297
• Convolutional neural networks with low-rank regularization
  19 Nov 2015 · 2 repositories · arXiv:1511.06067
  Syntology official (archive's flag): 1 ran · 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)
• Deep Metric Learning via Lifted Structured Feature Embedding
  19 Nov 2015 · 3 repositories · arXiv:1511.06452
• Manifold Regularized Deep Neural Networks using Adversarial Examples
  19 Nov 2015 · 0 repositories · arXiv:1511.06381
• QBDC: Query by dropout committee for training deep supervised architecture
  19 Nov 2015 · 0 repositories · arXiv:1511.06412
• Reducing Overfitting in Deep Networks by Decorrelating Representations
  19 Nov 2015 · 0 repositories · arXiv:1511.06068
• On the interplay of network structure and gradient convergence in deep learning
  17 Nov 2015 · 0 repositories · arXiv:1511.05297
• Basic Level Categorization Facilitates Visual Object Recognition
  12 Nov 2015 · 0 repositories · arXiv:1511.04103
• Batch-normalized Maxout Network in Network
  9 Nov 2015 · 1 repository · arXiv:1511.02583
  Syntology 3 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; 2 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples) · 3 pointer-only (licence)
• Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
  9 Nov 2015 · 21 repositories · arXiv:1511.02680
  Syntology 6 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; 0 where Syntology's instrument failed) · 12 unverified (of 18 harvested samples)
• BinaryConnect: Training Deep Neural Networks with binary weights during propagations
  2 Nov 2015 · 5 repositories · arXiv:1511.00363
  Syntology community repositories only · 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) · 0 unverified (of 3 harvested samples) · 3 pointer-only (licence)