General Principle

October 13, 2023

Advancing Perception in Artificial Intelligence through Principles of Cognitive Science
Palaash Agrawal, Cheston Tan, Heena Rathore
Artificial Intelligence Artificial Intelligence Research General Principle Cognitive Science

August 18, 2023

A Principle for Global Optimization with Gradients
Nils Müller
Natural Gradient General Principle Global Optimization Covariance Matrix Adaptation Evolution Strategy Non Local Local Minimum

July 26, 2023

Computational Approaches for Traditional Chinese Painting: From the "Six Principles of Painting" Perspective
Wei Zhang, Jian-Wei Zhang, Kam Kwai Wong, Yifang Wang, Yingchaojie Feng, Luwei Wang, Wei Chen
Visual Perspective General Principle Computational Approach Cultural Heritage Artistic Painting Art Style Artistic Creation Chinese Painting
Acceptable risks in Europe's proposed AI Act: Reasonableness and other principles for deciding how much risk management is enough
Henry Fraser, Jose-Miguel Bello y Villarino
High Quality Risk Description General Principle AI Act Defeasible Reasoning Acceptability Judgment

June 29, 2023

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms
Anthony Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirksy, Sören Pirk, Phani Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martín-Martín
Robot Navigation General Principle Robot Behavior Social Navigation State Aware Guideline Social Robot Navigation

June 20, 2023

Principles for Initialization and Architecture Selection in Graph Neural Networks with ReLU Activations
Gage DeZoort, Boris Hanin
Graph Neural Network General Principle New Initialization ReLU Activation Residual Connection

June 8, 2023

Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, René Vidal, Yi Ma
Large Pre Trained Model General Principle Speech Based Age Visual Representation Learning ImageNet 1k Image Clustering

June 2, 2023

Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms
Aneesh Komanduri, Yongkai Wu, Feng Chen, Xintao Wu
LeArning Abstract Disentanglement Capability Disentangled Representation General Principle Latent Causal Causal Variable Causal Disentanglement

May 21, 2023

Pruning Pre-trained Language Models with Principled Importance and Self-regularization
Siyu Ren, Kenny Q. Zhu
Self Supervised Pre Trained Language Model Language Understanding Edge Pruning General Principle Iterative Pruning

May 17, 2023

May 8, 2023

Unjustified Sample Sizes and Generalizations in Explainable AI Research: Principles for More Inclusive User Studies
Uwe Peters, Mary Carman
Strong Generalization Explainable Artificial Intelligence General Principle User Study XAI Research Ethical Framework

April 24, 2023

Topological properties and organizing principles of semantic networks
Gabriel Budel, Ying Jin, Piet Van Mieghem, Maksim Kitsak
Topological Feature General Principle Semantic Relation Semantic Network

March 24, 2023

Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions
Tobias Kalb, Jürgen Beyerer
Deep Neural Network Catastrophic Forgetting Semantic Segmentation Model General Principle Adverse Weather Domain Incremental Learning Incremental Semantic Segmentation

March 15, 2023

Cognitive Semantic Communication Systems Driven by Knowledge Graph: Principle, Implementation, and Performance Evaluation
Fuhui Zhou, Yihao Li, Ming Xu, Lu Yuan, Qihui Wu, Rose Qingyang Hu, Naofal Al-Dhahir
Knowledge Graph Practical Implementation Semantic Communication General Principle Performance Evaluation Semantic Communication System

February 25, 2023

On Bellman's principle of optimality and Reinforcement learning for safety-constrained Markov decision process
Rahul Misra, Rafał Wisniewski, Carsten Skovmose Kallesøe
Reinforcement Learning Safe Reinforcement Learning General Principle Near Optimality Constrained Markov Decision Process Reinforcement Learning Problem Bellman Operator

February 9, 2023

December 30, 2022

Self-organization Preserved Graph Structure Learning with Principle of Relevant Information
Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
Ground Truth Graph Structure General Principle Graph Structure Learning Self Organization Graph Wavelet Relevant Information

December 13, 2022

Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results
Sergey Levine, Dhruv Shah
Robotics Domain NCD Method Recent Advance General Principle eXperience Report Real World Environment Robot Skill Navigation System Real Time Navigation

Papers

Advancing Perception in Artificial Intelligence through Principles of Cognitive Science

A Principle for Global Optimization with Gradients

Computational Approaches for Traditional Chinese Painting: From the "Six Principles of Painting" Perspective

Acceptable risks in Europe's proposed AI Act: Reasonableness and other principles for deciding how much risk management is enough

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms

Principles for Initialization and Architecture Selection in Graph Neural Networks with ReLU Activations

Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models

Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms

Pruning Pre-trained Language Models with Principled Importance and Self-regularization

A Fusion Model: Towards a Virtual, Physical and Cognitive Integration and its Principles

The Principle of Uncertain Maximum Entropy

Unjustified Sample Sizes and Generalizations in Explainable AI Research: Principles for More Inclusive User Studies

Topological properties and organizing principles of semantic networks

Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions

Cognitive Semantic Communication Systems Driven by Knowledge Graph: Principle, Implementation, and Performance Evaluation

On Bellman's principle of optimality and Reinforcement learning for safety-constrained Markov decision process

Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models

Gaze-based intention estimation: principles, methodologies, and applications in HRI

Self-organization Preserved Graph Structure Learning with Principle of Relevant Information

Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results