donutloop / machine-learning-research-papers

Collection of machine learning research paper references

Machine learning research papers

Collection of machine learning research paper references

LLM (Large language mode)

• Self-Rewarding Language Models

Math

• A Beginner's Guide to the Mathematics of Neural Networks
• Mathematics of Deep Learning
• The Matrix Calculus You Need For Deep Learning
• A guide to convolution arithmetic for deep learning
• Deep Learning: An Introduction for Applied Mathematicians - page 23

Deep learning

• Recent Advances in Deep Learning: An Overview
• Deep learning review
• Understanding deep learning requires rethinking generalization
• Learning the Number of Neurons in Deep Networks
• Lifelong Learning with Dynamically Expandable Networks
• Dropout: a simple way to prevent neural networks from overfitting

GAN

• StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
• Self-Attention Generative Adversarial Networks

Neuro evolution

• Neural Architecture Search with Reinforcement Learning
• Large-Scale Evolution of Image Classifiers
• AutoAugment: Learning Augmentation Policies from Data
• Designing Neural Network Architectures using Reinforcement Learning
• Learning Transferable Architectures for Scalable Image Recognition
• Deep Neuroevolution: Genetic Algorithms are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
• MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks

Gradient descent

• An overview of gradient descent optimization algorithms

Word embedding

• Distributed Representations of Words and Phrases and their Compositionality Efficient Estimation of Word Representations in Vector Space
• Linguistic Regularities in Continuous Space Word Representations
• A Neural Probabilistic Language Model
• Glove
• Efficient Estimation of Word Representations in Vector Space
• Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
• FastText.zip: Compressing text classification models
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

CNN

• Siamese Neural Networks for One-shot Image Recognition
• ImageNet Classification with Deep Convolutional Neural Networks
• Multi-column Deep Neural Networks for Image Classification
• Very Deep Convolutional Networks for Large-Scale Image Recognition
• Rethinking the Inception Architecture for Computer Vision
• Deep residual learning for image recognition
• Network In Network
• Going Deeper with Convolutions
• OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
• You Only Look Once: Unified, Real-Time Object Detection
• FaceNet: A Unified Embedding for Face Recognition and Clustering
• Visualizing and Understanding Convolutional Networks
• A Neural Algorithm of Artistic Style
• Convolutional Sequence to Sequence Learning
• Deformable Convolutional Networks
• Deep Photo Style Transfer
• Wide Residual Networks
• WaveNet: A Generative Model for Raw Audio
• Densely Connected Convolutional Networks
• Resnet in Resnet: Generalizing Residual Architectures

RL

• Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
• RL Overview

GRU

• Gated Feedback Recurrent Neural Networks

RNN

• DRAW: A Recurrent Neural Network For Image Generation
• Playing Atari with Deep Reinforcement Learning
• Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
• Sequence to Sequence Learning with Neural Networks
• Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
• Neural Machine Translation by Jointly Learning to Align and Translate
• SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning

Graph & Neural networks

• Relational inductive biases, deep learning, and graph networks
• Interaction Networks for Learning about Objects,Relations and Physics
• Graph neural networks - Page 7
• Recurrent Relational Networks
• Graph Capsule Convolutional Neural Networks
• Graph Neural Networks for Ranking Web Pages
• Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Neural Module Networks

• Neural Module Networks
• End-To-End Memory Networks
• Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
• Show and Tell: A Neural Image Caption Generator

Memory Networks

• Memory Networks

General Models

• One Model To Learn Them All

Neural Programmer-Interpreters

• Neural Programmer-Interpreters
• Learning Simple Algorithms from Examples
• pix2code: Generating Code from a Graphical User Interface Screenshot
• DeepCoder: Learning to Write Programs
• A deep language model for software code
• Tree-to-tree Neural Networks for Program Translation
• Unsupervised Translation of Programming Languages
• TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
• TransCoder-IR: Code Translation with Compiler Representations

Database

• SageDB: A Learned Database System

Cache

• Feedforward Neural Networks for Caching: Enough or Too Much?

Activations

• Maxout networks

Other

• Event detection in Twitter: A keyword volume approach
• Bagging
• Stack Overflow Considered Harmful? The Impact of Copy&Paste on Android Application Security
• DEXTER: Large-Scale Discovery and Extraction of Product Specifications on the Web

Robotics

• End-to-End Learning of Semantic Grasping

Machine learning (Articles)

• Understanding LSTM Networks
• Conv Nets: A Modular Perspective
• Understanding Convolutions

Machine learning (Books)

• Understanding machine learning theory algorithms