Machine Learning Collection

A Source Repository for Machine Learning related Articles/Notebooks. I occasionally add papers that I have read and liked for future reference.

Articles

General

• Allen Turing: Can Machines Think ? (1950)
• Calculus

Optimization

• Adam Optimizer

• Population Based Optimization (Hyperparameter Optimization)

Normalization

• Batch Normalization

Pre-training

• Exploring the Limits of Large Scale Pre-training

Feature Engineering

• LIME : Interpretable Machine Learning Explaining the Predictions of Any Classifier

Unsupervised Learning

• Unsupervised Speech Recognition Facebook AI (May 2021)

Contrastive Learning

• Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition

RNN

• Debiasing Word Embeddings
• Massive Exploration of Neural Machines Translation Architectures
• RNNs for Language Recognition

CNN

• A Neural Algorithm of Artistic Style (Neural Style Transfer 2015)
• Visualizing and Understanding Convolutional Networks (2013)
• FaceNet: A Unified Embedding for Face Recognition and Clustering (2015)
• Faster R-CNN ( Region Proposal Networks 2016)
• Fast R-CNN ( Region Proposal Networks 2015)
• R-CNN ( Region Proposal Networks 2013)
• YOLO9000: Better, Faster, Stronger (2016)
• YOLO You Only Looked Once (Unified, Real Time Object Detection 2015)
• OverFeat: Integrated Recognition, Localization and Detection using CNN (2014)
• Going Deeper with Convolutions (Inception Convolutions 2014)
• Network in Network (1x1 Convolutions 2013)
• ImageNet Classification with Deep Convolutional Neural Networks (Alex Krizhevsky 2012)
• Gradient Based Learning Applied to Document Recognition (LeeCun 1998) (Read especially Chapter II and III)
• Densely Connected Convolutional Networks

NLP

• XLM-R Unsupervised Cross-lingual Representation Learning (2020)
• BLEU: a Method for Automatic Evaluation of Machine Translation (2002)
• Deep Visual Semantic Alingments for Generating Image Descriptions (2015)
• Show and Tell - A Neural Image Caption Generator (2014)
• Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN 2014)
• Learning phrase representations using RNN encoder-decoder for statistical machine translation (2014)
• Sequence to sequence learning with neural networks (2014)
• Attention Is All You Need (Transformers 2017)

RL

• DeepMind: A Generalist Agent
• DeepMind: Reward is Enough (June 2021)
• DeepMind: AtariGames (2013)
• Cooperative and Competitive Multiagent Learning
• Mutiagent Dep Rinforcement Larning
• Large-Scale Study of Curiosity-Driven Learning
• OpenAI: Hide and Seek (2020)
• OpenAI: Solving Rubiks Cube with a Robot Hand (2019)
• DeepMind: Progressive Neural Networks (2016)
• Simulation-Based Reinforcement Learning for Real-World Autonomous Driving (2020)
• The Uncertainty Bellman Equation and Exploration (2018)
• Continuous - Discrete Action Space Comparison
• Reinforcement Learning: an Overview (2000)
• Sutton's Famous Book: Introduction_to_Reinforcement_Learning

Domain Specific

Ocean Engineering

• Machine Learning Models for ship main engine Fuel Oil Consumption: A Comparative Study (2019)
• Vessels fuel consumption forecast (2017)

Medical Diagnosis

• U-Net for Biomedical Image Segmentation
• Dermatologist-level classification of skin cancer with deep neural networks
• Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy
• Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer
• Chest X-ray Database and Benchmarks on Weakly-Supervised Classification