Learning Mechanism

Learning mechanisms, encompassing how systems acquire and utilize knowledge, are a central focus in artificial intelligence and neuroscience research. Current investigations explore diverse approaches, including modular models that learn reusable components, reinforcement learning frameworks for optimizing complex systems, and analyses of different reasoning types in language models. These studies aim to improve the efficiency, interpretability, and robustness of learning systems, with implications for advancing AI capabilities and providing insights into biological learning processes. Ultimately, understanding learning mechanisms is crucial for building more effective and adaptable AI and for deepening our understanding of the human brain.

Papers

October 26, 2024

Mechanism learning: Reverse causal inference in the presence of multiple unknown confounding through front-door causal bootstrapping
Jianqiao Mao, Max A. Little
Machine Learning Causal Inference Speech Presence Causal Machine Learning Causal Variable Learning Mechanism

October 13, 2024

EEG-based AI-BCI Wheelchair Advancement: A Brain-Computer Interfacing Wheelchair System Using Machine Learning Mechanism with Right and Left Voluntary Hand Movement
Biplov Paneru, Bishwash Paneru, Khem Narayan Poudyal
Brain Computer Interface Hand Motion Learning Mechanism Autonomous Wheelchair

April 23, 2024

Compete and Compose: Learning Independent Mechanisms for Modular World Models
Anson Lei, Frederik Nolte, Bernhard Schölkopf, Ingmar Posner
Competition Platform Form Like Document Learning Mechanism Model Mechanism

April 3, 2024

An Incomplete Loop: Instruction Inference, Instruction Following, and In-context Learning in Language Models
Emmy Liu, Graham Neubig, Jacob Andreas
Natural Language Modern Language Model Shot Prompting Deductive Reasoning Learning Mechanism Inductive Task Abductive Learning Instruction Induction

March 7, 2024

A mechanism-driven reinforcement learning framework for shape optimization of airfoils
Jingfeng Wang, Guanghui Hu
Reinforcement Learning Airfoil Design Shape Optimization Learning Mechanism Airfoil Shape Optimization Airfoil Parameterization

November 22, 2023

Learning principle and mathematical realization of the learning mechanism in the brain
Taisuke Katayose
Deep Learning LeArning Abstract Supervised Learning Unsupervised Learning Brain Function General Principle Learning Mechanism Mathematical Discovery

October 12, 2023

TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion
Preetha Vijayan, Prashant Bhat, Elahe Arani, Bahram Zonooz
Continual LEArning Catastrophic Forgetting Anti Forgetting Neuron Activation Learning Mechanism Knowledge Retention Context Gating

August 24, 2023

A Brain-Inspired Sequence Learning Model based on a Logic
Bowen Xu
Sequence of Sequence Logic Reasoning Sequence Prediction Neural Sequence Model Learning Mechanism Sequence Learning

June 8, 2023

Evaluating and Incentivizing Diverse Data Contributions in Collaborative Learning
Baihe Huang, Sai Praneeth Karimireddy, Michael I. Jordan
Multiple Agent Collaborative Learning Field Data Representative Dataset Learning Mechanism Design Problem

March 7, 2023

Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning
Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy, Mahmoud Shoush, Irene Teinemaa
Reinforcement Learning LeArning Abstract Causal Inference Decision Making Business Process Continuous Improvement Learning Mechanism Prescriptive Process Monitoring

February 9, 2023

What are the mechanisms underlying metacognitive learning?
Ruiqi He, Falk Lieder
Functional Mechanism Learning Mechanism Meta Reinforcement Cognitive Strategy Metacognitive Generalization Framework

January 26, 2023

Open Problems in Applied Deep Learning
Maziar Raissi
Open Problem Bi Level Optimization Artificial Intelligence Algorithm Learning Mechanism Inner Optimization

December 16, 2022

Hippocampus-Inspired Cognitive Architecture (HICA) for Operant Conditioning
Deokgun Park, Md Ashaduzzaman Rubel Mondol, SM Mazharul Islam, Aishwarya Pothula
Learning Mechanism Operant Conditioning

October 5, 2022

On the Learning Mechanisms in Physical Reasoning
Shiqian Li, Kewen Wu, Chi Zhang, Yixin Zhu
Dynamic Model Physical Reasoning Dynamic Prediction Learning Mechanism

August 10, 2022

Frequency propagation: Multi-mechanism learning in nonlinear physical networks
Vidyesh Rao Anisetti, A. Kandala, B. Scellier, J. M. Schwarz
Propagation Environment Linear Network Learning Mechanism Semi Active Mechanism

April 19, 2022

Many Episode Learning in a Modular Embodied Agent via End-to-End Interaction
Yuxuan Sun, Ethan Carlson, Rebecca Qian, Kavya Srinet, Arthur Szlam
Machine Learning End to End Learning Mechanism Human Agent Interaction

February 25, 2022

Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach
Shuang Qiu, Boxiang Lyu, Qinglin Meng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan
Markov Decision Process Unknown Environment Reinforcement Learning Approach Mechanism Design Learning Mechanism Reward Free Reinforcement Learning

December 10, 2021

Federated Two-stage Learning with Sign-based Voting
Zichen Ma, Zihan Lu, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui
Federated Learning Federated Setting Voting Method Deeper Model Learning Mechanism Sign Based

November 18, 2021

The Effects of Learning in Morphologically Evolving Robot Systems
Jie Luo, Aart Stuurman, Jakub M. Tomczak, Jacintha Ellers, Agoston E. Eiben
LeArning Abstract Mixed Effect Evolutionary Approach Evolutionary Process Learning Mechanism Scientifically Interesting Morphology Morphological Exemplar