DeepLearning
A collection of research papers, datasets and software on Deep Learning
https://github.com/axruff/DeepLearning
Last synced: 12 days ago
JSON representation
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Reinforcement Learning
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Inverse Reinforcement Learning
- 2021 - Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
- 2020 - The role of artificial intelligence in achieving the Sustainable Development Goals
- 2020 - Reconstructing lost BOLD signal in individual participants using deep machine learning
- 2019 - Deep learning optoacoustic tomography with sparse data
- 2020 - **[Review
- 2020 - Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning.
- 2020 - Automating turbulence modelling by multi-agent reinforcement learning
- 2019 - High-performance medicine: the convergence of human and artificial intelligence
- 2021 - Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
- 2020 - The role of artificial intelligence in achieving the Sustainable Development Goals
- 2019 - High-performance medicine: the convergence of human and artificial intelligence
- 2020 - Reconstructing lost BOLD signal in individual participants using deep machine learning
- 2019 - Deep learning optoacoustic tomography with sparse data
- 2020 - **[Review
- 2020 - Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning.
- 2020 - Automating turbulence modelling by multi-agent reinforcement learning
- 2019 - High-performance medicine: the convergence of human and artificial intelligence
- 2021 - Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
- 2020 - The role of artificial intelligence in achieving the Sustainable Development Goals
- 2019 - High-performance medicine: the convergence of human and artificial intelligence
- 2020 - Reconstructing lost BOLD signal in individual participants using deep machine learning
- 2019 - Deep learning optoacoustic tomography with sparse data
- 2020 - **[Review
- 2020 - Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning.
- 2020 - Automating turbulence modelling by multi-agent reinforcement learning
- Analytics Zoo (Intel): Distributed TensorFlow, PyTorch, Keras and BigDL on Apache Spark & Ray
- 2019 - High-performance medicine: the convergence of human and artificial intelligence
- 2021 - Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
- 2020 - The role of artificial intelligence in achieving the Sustainable Development Goals
- 2019 - High-performance medicine: the convergence of human and artificial intelligence
- 2020 - Reconstructing lost BOLD signal in individual participants using deep machine learning
- 2019 - Deep learning optoacoustic tomography with sparse data
- 2020 - **[Review
- 2020 - Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning.
- 2020 - Automating turbulence modelling by multi-agent reinforcement learning
- 2019 - High-performance medicine: the convergence of human and artificial intelligence
- 2021 - Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
- 2020 - The role of artificial intelligence in achieving the Sustainable Development Goals
- Beyond PASCAL: A Benchmark for 3D Object Detection in the Wild [website
- 2019 - High-performance medicine: the convergence of human and artificial intelligence
- 2020 - Reconstructing lost BOLD signal in individual participants using deep machine learning
- 2019 - Deep learning optoacoustic tomography with sparse data
- 2020 - **[Review
- 2020 - Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning.
- 2020 - Automating turbulence modelling by multi-agent reinforcement learning
- 2019 - High-performance medicine: the convergence of human and artificial intelligence
- 2021 - Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
- 2020 - The role of artificial intelligence in achieving the Sustainable Development Goals
- 2019 - High-performance medicine: the convergence of human and artificial intelligence
- 2020 - Reconstructing lost BOLD signal in individual participants using deep machine learning
- 2019 - Deep learning optoacoustic tomography with sparse data
- 2020 - **[Review
- 2020 - Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning.
- 2020 - Automating turbulence modelling by multi-agent reinforcement learning
- 2019 - High-performance medicine: the convergence of human and artificial intelligence
- 2021 - Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
- 2020 - The role of artificial intelligence in achieving the Sustainable Development Goals
- 2019 - High-performance medicine: the convergence of human and artificial intelligence
- 2020 - Reconstructing lost BOLD signal in individual participants using deep machine learning
- 2019 - Deep learning optoacoustic tomography with sparse data
- 2020 - **[Review
- 2020 - Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning.
- 2020 - Automating turbulence modelling by multi-agent reinforcement learning
- 2019 - High-performance medicine: the convergence of human and artificial intelligence
- 2021 - Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
- 2020 - The role of artificial intelligence in achieving the Sustainable Development Goals
- **[ADE20K Dataset
- 2019 - High-performance medicine: the convergence of human and artificial intelligence
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Segmentation
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Logic and Semantics
- 2019 - Panoptic Segmentation
- 2019 - The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation
- 2019 - ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors
- 2019 - Learning to Segment via Cut-and-Paste
- 2019 - YOLACT Real-time Instance Segmentation
- 2021 - Boundary IoU: Improving Object-Centric Image Segmentation Evaluation - iou/)
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Semantic Correspondence
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Logic and Semantics
- 2017 - End-to-end weakly-supervised semantic alignment
- 2019 - SFNet: Learning Object-aware Semantic Correspondence - [[github]](https://github.com/cvlab-yonsei/SFNet)
- 2020 - Deep Semantic Matching with Foreground Detection and Cycle-Consistency
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Semi Supervised
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Logic and Semantics
- 2014 - Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks
- 2017 - Random Erasing Data Augmentation - Erasing)
- 2017 - Smart Augmentation - Learning an Optimal Data Augmentation Strategy
- 2017 - Population Based Training of Neural Networks
- 2018 - **[Survey
- 2018 - Albumentations: fast and flexible image augmentations - [[github]](https://github.com/albu/albumentations) ✅
- 2018 - Data Augmentation by Pairing Samples for Images Classification
- 2018 - **[AutoAugment
- 2019 - **[UDA - [[github]](https://github.com/google-research/uda) ⭕
- 2019 - **[MixMatch
- 2019 - **[RealMix
- 2019 - Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
- 2019 - **[AugMix - research/augmix) ✅
- 2019 - Self-training with **[Noisy Student
- 2020 - Rain rendering for evaluating and improving robustness to bad weather
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Transfer Learning
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Logic and Semantics
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Unsupervised Learning
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Logic and Semantics
- 2015 - Unsupervised Visual Representation Learning by Context Prediction
- 2016 - Colorful Image Colorization
- 2016 - Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
- 2016 - Context Encoders: Feature Learning by Inpainting
- 2018 - Unsupervised Representation Learning by Predicting Image Rotations
- 2019 - Greedy InfoMax for Biologically Plausible Self-Supervised Representation Learning
- 2019 - Unsupervised Learning via Meta-Learning
- 2019 - **[PIRL
- 2019 - Representation Learning with Contrastive Predictive Coding
- 2019 - **[MoCo
- 2020 - **::SURVEY::** Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
- 2020 - **[SimCLR
- 2020 - **[NeurIPS 2020 Workshop
- 2020 - **[BYOL
- 2021 - [POST
- 2021 - Task Fingerprinting for Meta Learning in Biomedical Image Analysis
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Weakly Supervised
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Logic and Semantics
- 2015 - Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
- 2018 - Deep Learning with Mixed Supervision for Brain Tumor Segmentation
- 2019 - Localization with Limited Annotation for Chest X-rays
- 2019 - Doubly Weak Supervision of Deep Learning Models for Head CT
- 2019 - Training Complex Models with Multi-Task Weak Supervision
- 2020 - Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
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Programming Languages
Categories
Reinforcement Learning
313
Models
95
Optimization and Regularisation
21
Unsupervised Learning
16
Analysis and Interpretability
15
Semi Supervised
15
Pruning and Compression
10
Segmentation
6
Weakly Supervised
6
Optical Flow
4
Multitask Learning
3
Semantic Correspondence
3
Mutual Learning
2
Anomaly Detection
2
Instance Segmentation
2
Interactive Segmentation
1
Transfer Learning
1
Sub Categories
Keywords
machine-learning
7
deep-learning
6
pytorch
5
python
3
tensorflow
2
neural-network
2
ai
2
interactive-tools
1
visualizer
1
tensorflow-lite
1
safetensors
1
onnx
1
numpy
1
ml
1
machinelearning
1
keras
1
deeplearning
1
coreml
1
survey
1
reinforcement-learning
1
recommender-system
1
nlp
1
embeddings
1
computer-vision
1
visualization
1
jupyter-notebook
1
interpretability
1
colab
1
transfer-learning
1
synthetic-data
1
style-transfer
1
generative-model
1
domain-adaptation
1
data-science
1
artificial-intelligence
1
resnext
1
resnet
1
pretrained
1
inception
1
imagenet
1
tta
1
test-time-augmentation
1
segmentation
1
pipeline
1
object-detection
1
kaggle
1
jaccard-loss
1
image-segmentation
1
image-processing
1
image-classification
1