Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
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- Type
- preprint
- Published
- 2017-07-10
- Cited by
- 2,765
- References
- 43
- Access
- Open access
- OpenAlex
- https://openalex.org/W2734663976
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6842201
Keywords
Computer science, Deep learning, Artificial intelligence, Representation (politics), Machine learning
References
- Large-Scale Deep Learning on the YFCC100M Dataset
- Unsupervised Visual Representation Learning by Context Prediction
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- The New Data and New Challenges in Multimedia Research
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Distilling the Knowledge in a Neural Network
- NEIL: Extracting Visual Knowledge from Web Data
- Deep Classifiers from Image Tags in the Wild
- Unsupervised Joint Object Discovery and Segmentation in Internet Images
- Unbiased look at dataset bias
- The Pascal Visual Object Classes (VOC) Challenge
- Learning Everything about Anything: Webly-Supervised Visual Concept Learning
- What do 15,000 object categories tell us about classifying and localizing actions?
- Going deeper with convolutions
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- The Unreasonable Effectiveness of Data
- Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach
- ImageNet Large Scale Visual Recognition Challenge
- Webly Supervised Learning of Convolutional Networks
- Semantic contours from inverse detectors
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- Deep Learning is Robust to Massive Label Noise
- Rethinking Atrous Convolution for Semantic Image Segmentation
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- Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking
- Learning to Model the Tail
- A Deep Learning Approach to Estimate Chemically-Treated Collagenous Tissue Nonlinear Anisotropic Stress-Strain Responses from Microscopy Images
- Improving image generative models with human interactions
- Function space analysis of deep learning representation layers
- Rescuing Collective Wisdom when the Average Group Opinion Is Wrong
- Not Merely Memorization in Deep Networks: Universal Fitting and Specific Generalization
- HandSeg: A Dataset for Hand Segmentation from Depth Images
- Deep Census: AUV-Based Scallop Population Monitoring
- Snorkel: Rapid Training Data Creation with Weak Supervision
- Frustum PointNets for 3D Object Detection from RGB-D Data
- Inductive Logic Programming: 29th International Conference, ILP 2019, Plovdiv, Bulgaria, September 3–5, 2019, Proceedings
- Parameter Reference Loss for Unsupervised Domain Adaptation
- MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks
- Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN
- Separating Self-Expression and Visual Content in Hashtag Supervision
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