Task Feasibility

Task feasibility research assesses whether a given task is achievable within the constraints of a system, focusing on identifying limitations and developing strategies for success. Current investigations explore this across diverse domains, including machine unlearning, AI-driven attacks, autonomous programming, and medical image analysis, employing techniques like large language models, neural networks, and optimization algorithms to evaluate performance and identify bottlenecks. These studies are crucial for advancing the responsible development and deployment of AI systems and for optimizing resource allocation in various scientific and engineering applications. The ultimate goal is to improve the reliability and efficiency of complex systems by understanding and addressing inherent limitations.

Papers

June 16, 2023

AI Driven Near Real-time Locational Marginal Pricing Method: A Feasibility and Robustness Study
Naga Venkata Sai Jitin Jami, Juraj Kardoš, Olaf Schenk, Harald Köstler
Artificial Intelligence Task Feasibility Optimal Power Flow Electricity Market Robustness Analysis Energy Market

June 15, 2023

[Experiments & Analysis] Evaluating the Feasibility of Sampling-Based Techniques for Training Multilayer Perceptrons
Sana Ebrahimi, Rishi Advani, Abolfazl Asudeh
Deep Neural Network General Analysis Multi Layer Optical Experiment Task Feasibility Matrix Multiplication Deep Architecture Sampling Based

June 1, 2023

The feasibility of artificial consciousness through the lens of neuroscience
Jaan Aru, Matthew Larkum, James M. Shine
Camera Lens Path Breaking Emergence Task Feasibility Neuroscience Research Human Consciousness Conscious Experience Machine Consciousness

May 30, 2023

Evaluating the feasibility of using Generative Models to generate Chest X-Ray Data
Muhammad Danyal Malik, Danish Humair
Generative Model Image Generation GAN Model C Gan Task Feasibility Synthetic Chest X Ray

May 22, 2023

Feasibility of Transfer Learning: A Mathematical Framework
Haoyang Cao, Haotian Gu, Xin Guo
Domain Adaptation Transfer Learning Task Feasibility Feature Transfer

May 15, 2023

Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility
Supawit Chockchowwat, Zhaoheng Li, Yongjoo Park
Machine Learning Technical Challenge Vision Paper Pytorch Model Task Feasibility Scikit Learn Proof of Concept

May 5, 2023

On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach
Alaa Eddine Chriat, Chuangchuang Sun
Adaptive Importance Control Barrier Function Near Optimality Learning Based Approach Safety Critical Control Task Feasibility Reinforcement Learning Policy Convex Quadratic

April 11, 2023

Understanding Causality with Large Language Models: Feasibility and Opportunities
Cheng Zhang, Stefan Bauer, Paul Bennett, Jiangfeng Gao, Wenbo Gong, Agrin Hilmkil, Joel Jennings, Chao Ma, Tom Minka, Nick Pawlowski, James Vaughan
Large Language Model Emerging Opportunity Causal Pattern Task Feasibility Causal Knowledge Causal Query Causal Interpretation

March 13, 2023

Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems
Islam Debicha, Benjamin Cochez, Tayeb Kenaza, Thibault Debatty, Jean-Michel Dricot, Wim Mees
Machine Learning Adversarial Attack Machine Learning Model Adversarial Example Narrative Review Machine Learning Algorithm Network Intrusion Detection Task Feasibility Adversarial Evasion Attack

March 7, 2023

Exploring the Feasibility of ChatGPT for Event Extraction
Jun Gao, Huan Zhao, Changlong Yu, Ruifeng Xu
Large Language Model Natural Language Processing ChatGPT Generated Conversation Text Summarization Event Extraction Task Feasibility Language Task

February 19, 2023

On Feasibility of Server-side Backdoor Attacks on Split Learning
Behrad Tajalli, Oguzhan Ersoy, Stjepan Picek
Backdoor Attack Split Learning Task Feasibility Inference Attack

February 13, 2023

Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects
Linyi Li, Yuhao Zhang, Luyao Ren, Yingfei Xiong, Tao Xie
Deep Neural Network Deep Learning Architecture DNN Model Task Feasibility System Reliability

January 27, 2023

January 13, 2023

On the feasibility of attacking Thai LPR systems with adversarial examples
Chissanupong Jiamsuchon, Jakapan Suaboot, Norrathep Rattanavipanon
Adversarial Attack Adversarial Example Optical Character Recognition Character Recognition Task Feasibility License Plate

November 5, 2022

Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning
Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Yi Yang
Task Feasibility Context Dependent Compositional Zero Shot Learning Compositional Model Simple Primitive Latent Disentanglement State Object Composition Compositional Embeddings

November 1, 2022

Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges
Enwei Zhu, Yiyang Liu, Ming Jin, Jinpeng Li
Technical Challenge Entity Recognition Named Entity Recognition Task Feasibility Nested Entity Nested Named Entity Recognition Span Based Explicit Supervision

October 19, 2022

On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning
Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu
Reinforcement Learning Model Based Reinforcement Learning Task Feasibility Task Transfer Multi Task Fine Tuning

October 14, 2022

"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility
Himanshu Gupta, Neeraj Varshney, Swaroop Mishra, Kuntal Kumar Pal, Saurabh Arjun Sawant, Kevin Scaria, Siddharth Goyal, Chitta Baral
Question Answering Human Understanding Reasoning Ability NLP Model Multiple Choice Last Decade Task Feasibility

October 6, 2022

Feasibility on Detecting Door Slamming towards Monitoring Early Signs of Domestic Violence
Osian Morgan, Hakan Kayan, Charith Perera
Convolutional Neural Network TinyML Model Task Feasibility Audio Data Early Stage Door Status Domestic Violence

Task Feasibility

Papers

AI Driven Near Real-time Locational Marginal Pricing Method: A Feasibility and Robustness Study

[Experiments & Analysis] Evaluating the Feasibility of Sampling-Based Techniques for Training Multilayer Perceptrons

The feasibility of artificial consciousness through the lens of neuroscience

Evaluating the feasibility of using Generative Models to generate Chest X-Ray Data

Feasibility of Transfer Learning: A Mathematical Framework

Transactional Python for Durable Machine Learning: Vision, Challenges, and Feasibility

On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach

Understanding Causality with Large Language Models: Feasibility and Opportunities

Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems

Exploring the Feasibility of ChatGPT for Event Extraction

On Feasibility of Server-side Backdoor Attacks on Split Learning

Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects

On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease

Feasibility and Transferability of Transfer Learning: A Mathematical Framework

On the feasibility of attacking Thai LPR systems with adversarial examples

Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning

Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges

On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning

"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility

Feasibility on Detecting Door Slamming towards Monitoring Early Signs of Domestic Violence