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This repository is created to access knowledge of various AI ML research papers on a single source.
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- Winner-take-all autoencoders
- A roadmap towards machine intelligence
- Is the brain a good model for machine intelligence?
- Concrete problems in ai safety
- An analysis of single-layer networks in unsupervised feature learning
- Viola jones robust real-time object detection
- Example-based photometric stereo: shape reconstruction with general, varying brdfs
- Mask r-cnn
- AutoAugment: Learning Augmentation Policies from Data (2018)
- Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm (2017)
- Neural Machine Translation and Sequence-to-sequence Models: A Tutorial (2017)
- Deep voice: real-time neural text-to-speech (2017)
- Dropout: a simple way to prevent neural networks from overfitting (2014)
- A Unifying Review of Linear Gaussian Models (1998)
- Gaussian processes for big data
- Adversarial Patch
- A few useful things to know about machine learning
- The high-interest credit card of technical debt
- Neural Ordinary Differential Equations (2018)
- Learning without forgetting
- Neural turing machine
- Densely connected convolutional networks
- Overcoming catastrophic forgetting in neural networks
- Pathnet: evolution channels gradient descent in super neural networks
- Evolution strategies as a scalable alternative to reinforcement learning (2017)
- InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
- MichiGAN: sampling from disentangled representations of single-cell data using generative adversarial networks(2021)
- A comprehensive survey and analysis of generative models in machine learninG(2020)
- Pros and Cons of GAN Evaluation Measures: New Developments
- Attention Is All You Need
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding