AkiraTOSEI ML_papers issues

AkiraTOSEI / ML_papers

ML_paper_summary(in Japanese)

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Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks

#137 AkiraTOSEI opened 3 years ago
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Distribution Matching for Crowd Counting

#136 AkiraTOSEI opened 3 years ago
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TinyGAN: Distilling BigGAN for Conditional Image Generation

#135 AkiraTOSEI opened 3 years ago
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Imbalanced Image Classification with Complement Cross Entropy

#134 AkiraTOSEI opened 3 years ago
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ExGAN: Adversarial Generation of Extreme Samples

#133 AkiraTOSEI opened 3 years ago
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PRUNING NEURAL NETWORKS AT INITIALIZATION: WHY ARE WE MISSING THE MARK?

#132 AkiraTOSEI opened 3 years ago
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The Origins and Prevalence of Texture Bias in Convolutional Neural Networks

#131 AkiraTOSEI opened 3 years ago
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Kohn-Sham equations as regularizer : building prior knowledge into machine-learned physics

#130 AkiraTOSEI opened 3 years ago
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EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis

#129 AkiraTOSEI opened 3 years ago
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Theory-Inspired Path-Regularized Differential Network Architecture Search

#128 AkiraTOSEI opened 3 years ago
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Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures

#127 AkiraTOSEI opened 3 years ago
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EvolGAN: Evolutionary Generative Adversarial Networks

#126 AkiraTOSEI opened 3 years ago
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It’s Hard For Neural Networks to Learn the Game of Life

#125 AkiraTOSEI opened 3 years ago
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EvolGAN: Evolutionary Generative Adversarial Networks

#124 AkiraTOSEI opened 3 years ago
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YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

#123 AkiraTOSEI opened 3 years ago
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Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection

#122 AkiraTOSEI opened 3 years ago
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A Comparison of Deep Learning Object Detection Models for Satellite Imagery

#121 AkiraTOSEI opened 3 years ago
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Efficient Transformers: A Survey

#120 AkiraTOSEI opened 3 years ago
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Understanding the Role of Individual Units in a Deep Neural Network

#119 AkiraTOSEI opened 3 years ago
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Layered Neural Rendering for Retiming People in Video

#118 AkiraTOSEI opened 3 years ago
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Activate or Not: Learning Customized Activation

#117 AkiraTOSEI opened 3 years ago
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It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

#116 AkiraTOSEI opened 3 years ago
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Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

#115 AkiraTOSEI opened 3 years ago
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Generative Language Modeling for Automated Theorem Proving

#114 AkiraTOSEI opened 3 years ago
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Brain2Word: Decoding Brain Activity for Language Generation

#113 AkiraTOSEI opened 3 years ago
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not-so-BigGAN: Generating High-Fidelity Images on a Small Compute Budget

#112 AkiraTOSEI opened 3 years ago
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InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting

#111 AkiraTOSEI opened 3 years ago
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SpanBERT: Improving Pre-training by Representing and Predicting Spans

#110 AkiraTOSEI opened 3 years ago
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Learning to summarize from human feedback

#109 AkiraTOSEI opened 3 years ago
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A Generic Visualization Approach for Convolutional Neural Networks

#108 AkiraTOSEI opened 3 years ago
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How Do the Hearts of Deep Fakes Beat? Deep Fake Source Detection via Interpreting Residuals with Biological Signals

#107 AkiraTOSEI opened 3 years ago
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Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess

#106 AkiraTOSEI opened 3 years ago
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Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?

#105 AkiraTOSEI opened 3 years ago
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Image2StyleGAN++: How to Edit the Embedded Images?

#104 AkiraTOSEI opened 3 years ago
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Meta Approach to Data Augmentation Optimization

#103 AkiraTOSEI opened 3 years ago
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PatchUp: A Regularization Technique for Convolutional Neural Networks

#102 AkiraTOSEI opened 3 years ago
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PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

#101 AkiraTOSEI opened 3 years ago
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Denoising Diffusion Probabilistic Models

#100 AkiraTOSEI opened 3 years ago
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Rethinking Pre-training and Self-training

#99 AkiraTOSEI opened 3 years ago
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Implicit Neural Representations with Periodic Activation Functions

#98 AkiraTOSEI opened 3 years ago
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

#97 AkiraTOSEI opened 3 years ago
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NEVER GIVE UP: LEARNING DIRECTED EXPLORATION STRATEGIES

#96 AkiraTOSEI opened 3 years ago
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Which is Plagiarism: Fashion Image Retrieval based on Regional Representation for Design Protection

#95 AkiraTOSEI opened 3 years ago
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Learning to Simulate Dynamic Environments with GameGAN

#94 AkiraTOSEI opened 3 years ago
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Self-supervised Knowledge Distillation for Few-shot Learning

#93 AkiraTOSEI opened 3 years ago
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NVAE: A Deep Hierarchical Variational Autoencoder

#92 AkiraTOSEI opened 3 years ago
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Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization

#91 AkiraTOSEI opened 3 years ago
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Multiscale Deep Equilibrium Models

#90 AkiraTOSEI opened 3 years ago
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SYNTHESIZER: Rethinking Self-Attention in Transformer Models

#89 AkiraTOSEI opened 3 years ago
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Big Self-Supervised Models are Strong Semi-Supervised Learners

#88 AkiraTOSEI opened 3 years ago
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