Adaptive Learning

Adaptive learning focuses on developing algorithms and models that can dynamically adjust their behavior based on incoming data or changing environments, aiming to improve efficiency and performance in various tasks. Current research emphasizes techniques like multi-mentor distillation, federated learning with parameter-efficient adaptors, and the integration of explainable AI for enhanced interpretability and robustness. These advancements are impacting diverse fields, including personalized education, efficient resource utilization in edge computing, and improved accuracy in applications such as image processing and bioacoustic event detection.

Papers

June 1, 2023

Last Switch Dependent Bandits with Monotone Payoff Functions
Ayoub Foussoul, Vineet Goyal, Orestis Papadigenopoulos, Assaf Zeevi
Non Stationary Sublinear Regret Adaptive Learning Optimal Arm Monotone Profit

May 10, 2023

Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning
Jean Vassoyan, Jill-Jênn Vie, Pirmin Lemberger
Reinforcement Learning Graph Neural Network Adaptive Learning Sequential Recommender System Personalized Learning Scalable Learning Student Simulation

May 8, 2023

Adaptive Learning Path Navigation Based on Knowledge Tracing and Reinforcement Learning
Jyun-Yi Chen, Saeed Saeedvand, I-Wei Lai
Reinforcement Learning Knowledge Tracing Adaptive Learning Learning Path

April 11, 2023

April 4, 2023

Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems
Ivica Kičić, Pantelis R. Vlachas, Georgios Arampatzis, Michail Chatzimanolakis, Leonidas Guibas, Petros Koumoutsakos
Adaptive Learning Complex System Multiscale System Effective Dynamic Online Modeling Dynamical Regime Predictive Simulation

March 7, 2023

ERUDITE: Human-in-the-Loop IoT for an Adaptive Personalized Learning System
Mojtaba Taherisadr, Mohammad Abdullah Al Faruque, Salma Elmalaki
Human in the Loop Adaptive Learning Brain Signal Human Learning Wearable Brain Computer Interface

February 20, 2023

Adaptive Sparse Gaussian Process
Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Manel Martínez-Ramón
Adaptive Learning Posterior Predictive Sparse Gaussian Process Sparse Variational Gaussian Process

February 15, 2023

Improved Online Conformal Prediction via Strongly Adaptive Online Learning
Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai
Regret Minimization Adaptive Learning Adaptive Regret Online Conformal Prediction

January 26, 2023

Time-sensitive Learning for Heterogeneous Federated Edge Intelligence
Yong Xiao, Xiaohan Zhang, Guangming Shi, Marwan Krunz, Diep N. Nguyen, Dinh Thai Hoang
Edge Computing Adaptive Learning Edge Intelligence Edge Server

December 22, 2022

Fixed-budget online adaptive learning for physics-informed neural networks. Towards parameterized problem inference
Thi Nguyen Khoa Nguyen, Thibault Dairay, Raphaël Meunier, Christophe Millet, Mathilde Mougeot
Neural Network Physic Informed Neural Network Adaptive Learning Numerical Solver Collocation Point Fixed Budget Adaptive Finite Element Method

October 13, 2022

Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes
Yi-Xuan Sun, Wei Wang
Distribution Detection Distribution Data Unlabeled Data Adaptive Learning Best View Unseen Test Distribution Sample Reconstruction

September 8, 2022

Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep Neuroevolution
Eyal Segal, Moshe Sipper
Reinforcement Learning Genetic Algorithm Evolutionary Computation Adaptive Learning Novelty Search Item Combination Deep Neuroevolution

August 25, 2022

Adaptive Learning for Service Monitoring Data
Farzana Anowar, Samira Sadaoui, Hardik Dalal
Adaptive Learning Adaptive Classification Model Monitoring

August 5, 2022

Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy Images
Marawan Elbatel, Christina Bornberg, Manasi Kattel, Enrique Almar, Claudio Marrocco, Alessandro Bria
Object Detection Model Microscopy Image Adaptive Learning Annotated Training Data Supervised Correction

July 24, 2022

AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable Basis Expansion for Multiphase Flow Problems
Yating Wang, Wing Tat Leung, Guang Lin
Sparsity Increase Adaptive Learning Sparse Representation Multiphase Flow Sparse Solution Adaptive Sparsity Basis Expansion

July 19, 2022

Adaptive Learning for the Resource-Constrained Classification Problem
Danit Shifman Abukasis, Izack Cohen, Xiaochen Xian, Kejun Huang, Gonen Singer
Adaptive Learning Classification Problem Misclassification Cost

July 18, 2022

Towards a General Pre-training Framework for Adaptive Learning in MOOCs
Qingyang Zhong, Jifan Yu, Zheyuan Zhang, Yiming Mao, Yuquan Wang, Yankai Lin, Lei Hou, Juanzi Li, Jie Tang
Strong Generalization New Framework Adaptive Learning Sequential Learning General Text Massive Open Online Course Heterogeneous Learning Adaptive System

July 11, 2022

Deep neural network based adaptive learning for switched systems
Junjie He, Zhihang Xu, Qifeng Liao
Deep Neural Network System Description DNN Framework DNN Model Adaptive Learning Unknown Nonlinear System

July 8, 2022

Computationally Identifying Funneling and Focusing Questions in Classroom Discourse
Sterling Alic, Dorottya Demszky, Zid Mancenido, Jing Liu, Heather Hill, Dan Jurafsky
Adaptive Learning Selective Focus Instruction Quality Information Funnel Classroom Discourse

Adaptive Learning

Papers

Last Switch Dependent Bandits with Monotone Payoff Functions

Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning

Adaptive Learning Path Navigation Based on Knowledge Tracing and Reinforcement Learning

DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification

Reinforcement Learning Tutor Better Supported Lower Performers in a Math Task

Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems

ERUDITE: Human-in-the-Loop IoT for an Adaptive Personalized Learning System

Adaptive Sparse Gaussian Process

Improved Online Conformal Prediction via Strongly Adaptive Online Learning

Time-sensitive Learning for Heterogeneous Federated Edge Intelligence

Fixed-budget online adaptive learning for physics-informed neural networks. Towards parameterized problem inference

Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes

Adaptive Combination of a Genetic Algorithm and Novelty Search for Deep Neuroevolution

Adaptive Learning for Service Monitoring Data

Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy Images

AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable Basis Expansion for Multiphase Flow Problems

Adaptive Learning for the Resource-Constrained Classification Problem

Towards a General Pre-training Framework for Adaptive Learning in MOOCs

Deep neural network based adaptive learning for switched systems

Computationally Identifying Funneling and Focusing Questions in Classroom Discourse