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

August 1, 2024

WHITE PAPER: A Brief Exploration of Data Exfiltration using GCG Suffixes
Victor Valbuena
xAI Community Prompt Injection Attack Brief Introduction White Paper Data Exfiltration

July 20, 2024

Text Style Transfer: An Introductory Overview
Sourabrata Mukherjee, Ondrej Dušek
Language Generation Human Generated Brief Introduction

June 24, 2024

Data-driven Modeling in Metrology -- A Short Introduction, Current Developments and Future Perspectives
Linda-Sophie Schneider, Patrick Krauss, Nadine Schiering, Christopher Syben, Richard Schielein, Andreas Maier
Measurement System Data Driven Modeling Future Perspective Recent Development Brief Introduction Networked System Model Metrology Data Measurement

June 3, 2024

A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning
Wanyu Bian
Deep Learning Deep Learning Algorithm Optimization Algorithm Optimization Method MRI Reconstruction Brief Introduction Based Optimization

May 14, 2024

A Brief Introduction to Causal Inference in Machine Learning
Kyunghyun Cho
Machine Learning Causal Inference Distribution Generalization Brief Introduction

April 30, 2024

A Primer on the Inner Workings of Transformer-based Language Models
Javier Ferrando, Gabriele Sarti, Arianna Bisazza, Marta R. Costa-jussà
Transformer Based Language Model Brief Introduction Advanced Language Model Different Approach

April 26, 2024

Alice's Adventures in a Differentiable Wonderland -- Volume I, A Tour of the Land
Simone Scardapane
Neural Network Machine Learning Recurrent Neural Network Generative Modeling Land Use Brief Introduction Differentiable WORLD

February 27, 2024

Securing Reliability: A Brief Overview on Enhancing In-Context Learning for Foundation Models
Yunpeng Huang, Yaonan Gu, Jingwei Xu, Zhihong Zhu, Zhaorun Chen, Xiaoxing Ma
Foundation Model Context Learning Brief Introduction AI Ecosystem System Reliability

February 22, 2024

A Quick Introduction to Quantum Machine Learning for Non-Practitioners
Ethan N. Evans, Dominic Byrne, Matthew G. Cook
Quantum Machine Learning Quantum Computing Quantum Hardware Quantum Machine Non Expert Brief Introduction Post Quantum Cryptography

December 7, 2023

A brief introduction to a framework named Multilevel Guidance-Exploration Network
Guoqing Yang, Zhiming Luo, Jianzhe Gao, Yingxin Lai, Kun Yang, Yifan He, Shaozi Li
New Framework Brief Introduction Behavior Representation Hierarchical Exploration Latent Motion Aberrant Behavior

December 1, 2023

Deep Metric Learning for Computer Vision: A Brief Overview
Deen Dayal Mohan, Bhavin Jawade, Srirangaraj Setlur, Venu Govindaraj
Computer Vision Loss Function Cross Entropy Loss Deep Metric Learning Brief Introduction

September 18, 2023

A Concise Overview of Safety Aspects in Human-Robot Interaction
Mazin Hamad, Simone Nertinger, Robin J. Kirschner, Luis Figueredo, Abdeldjallil Naceri, Sami Haddadin
Human Robot Interaction Brief Introduction System Safety Safety Layer Safety Architecture

September 14, 2023

A general Framework for Utilizing Metaheuristic Optimization for Sustainable Unrelated Parallel Machine Scheduling: A concise overview
Absalom E. Ezugwu
Metaheuristic Algorithm General Framework Brief Introduction Machine Scheduling Environmental Constraint Metaheuristic Optimization Algorithm

August 31, 2023

Dynamic Multimodal Locomotion: A Quick Overview of Hardware and Control
Shreyansh Pitroda
Robotics Domain External Control Bipedal Robot Hardware Environment Brief Introduction Multi Modal Locomotion Thruster Assisted

March 29, 2023

Evaluating NLG systems: A brief introduction
Emiel van Miltenburg
Global Evaluation Language Generation Natural Language Generation Brief Introduction NLG System

December 22, 2022

Machine Learning with Probabilistic Law Discovery: A Concise Introduction
Alexander Demin, Denis Ponomaryov
Machine Learning Brief Introduction Probabilistic Rule

November 21, 2022

A Brief Overview of AI Governance for Responsible Machine Learning Systems
Navdeep Gill, Abhishek Mathur, Marcos V. Conde
Artificial Intelligence Artificial Intelligence Governance Artificial Intelligence Technology Brief Introduction Responsible Machine Learning

October 13, 2022

A Concise Introduction to Reinforcement Learning in Robotics
Akash Nagaraj, Mukund Sood, Bhagya M Patil
Reinforcement Learning Robotics Domain Brief Introduction Complex Behavior Future Research

October 6, 2022

Brief Introduction to Contrastive Learning Pretext Tasks for Visual Representation
Zhenyuan Lu
Contrastive Learning Self Supervised Learning Visual Representation Pseudo Labeling Feature Representation Brief Introduction

June 23, 2022

Inductive Conformal Prediction: A Straightforward Introduction with Examples in Python
Martim Sousa
Human Prediction Classification Model Fewer Example Brief Introduction Point Prediction Inductive Conformal