Brief Introduction

Recent research in machine learning and related fields focuses on developing and refining models for various tasks, including data analysis, image processing, natural language processing, and robotics. Key areas of investigation involve improving model robustness and reliability, exploring novel optimization algorithms (e.g., those inspired by physics or utilizing deep metric learning), and enhancing interpretability through methods like probabilistic law discovery. These advancements aim to improve the efficiency, accuracy, and trustworthiness of machine learning systems, impacting diverse applications from medical imaging and industrial automation to AI safety and sustainable development.

Papers

March 3, 2022

Intrinsically-Motivated Reinforcement Learning: A Brief Introduction
Mingqi Yuan
Reinforcement Learning Intrinsic Reward Intrinsic Motivation Brief Introduction

March 1, 2022

A Brief Overview of Unsupervised Neural Speech Representation Learning
Lasse Borgholt, Jakob Drachmann Havtorn, Joakim Edin, Lars Maaløe, Christian Igel
Speech Data Speech Processing Self Supervised Method Brief Introduction Unsupervised Representation Unsupervised Speech Representation

February 12, 2022

Robust Deep Semi-Supervised Learning: A Brief Introduction
Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li
Semi Supervised Learning Semi Supervised Unlabeled Data Brief Introduction Label Corruption

January 30, 2022

A Brief Overview of Physics-inspired Metaheuristic Optimization Techniques
Soumitri Chattopadhyay, Aritra Marik, Rishav Pramanik
Optimization Problem Metaheuristic Algorithm Physic Based Brief Introduction Metaheuristic Approach Meta Heuristic

December 22, 2021

Machine Learning for Computational Science and Engineering -- a brief introduction and some critical questions
Chennakesava Kadapa
Machine Learning Artificial Intelligence Yes No Question Position Engineering Computational Analysis Brief Introduction

December 7, 2021

Collaborative Learning over Wireless Networks: An Introductory Overview
Emre Ozfatura, Deniz Gunduz, H. Vincent Poor
Machine Learning Model Wireless Network Collaborative Learning Brief Introduction Scalable Algorithm Collaborative Training Time Varying Network