Importance Aware

"Importance Aware" research focuses on identifying and leveraging the relative significance of different factors within complex systems, aiming to improve efficiency, accuracy, and decision-making. Current research explores this across diverse fields, employing techniques like attention mechanisms in transformers and GNNs, adaptive decision-making algorithms for robotics, and importance sampling in optimization and reinforcement learning. This work has significant implications for various applications, from optimizing resource allocation in large-scale systems (e.g., port networks) to enhancing the reliability and explainability of machine learning models in critical domains like healthcare and climate modeling.

Papers

September 27, 2023

Machine Learning Based Analytics for the Significance of Gait Analysis in Monitoring and Managing Lower Extremity Injuries
Mostafa Rezapour, Rachel B. Seymour, Stephen H. Sims, Madhav A. Karunakar, Nahir Habet, Metin Nafi Gurcan
Importance Aware Expert Driven Monitoring Gait Analysis Lower Limb Gait Parameter Machine Driven

September 26, 2023

The Importance of Multimodal Emotion Conditioning and Affect Consistency for Embodied Conversational Agents
Che-Jui Chang, Samuel S. Sohn, Sen Zhang, Rajath Jayashankar, Muhammad Usman, Mubbasir Kapadia
Strong Consistency Importance Aware Multimodal Behavior Modality Discrepancy Embodied Conversational Agent Multimodal Conditioning

September 23, 2023

Importance of negative sampling in weak label learning
Ankit Shah, Fuyu Tang, Zelin Ye, Rita Singh, Bhiksha Raj
Importance Aware Negative Sampling Weak Label Negative Example

September 6, 2023

Getting too personal(ized): The importance of feature choice in online adaptive algorithms
ZhaoBin Li, Luna Yee, Nathaniel Sauerberg, Irene Sakson, Joseph Jay Williams, Anna N. Rafferty
Multi Armed Bandit Importance Aware Bandit Algorithm Personalized Model Scalable Personalization Feature Preference

September 1, 2023

Sherlock Holmes Doesn't Play Dice: The significance of Evidence Theory for the Social and Life Sciences
V. L. Raju Chinthalapati, Guido Fioretti
Importance Aware Information Theory Information Fusion Dempster Shafer Theory Belief Function Improved Box Dice Evidence Theory

August 14, 2023

On the Importance of Spatial Relations for Few-shot Action Recognition
Yilun Zhang, Yuqian Fu, Xingjun Ma, Lizhe Qi, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang
Importance Aware Video Representation Video Recognition Spatial Relation Shot Action Recognition

July 19, 2023

The importance of feature preprocessing for differentially private linear optimization
Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon
Differential Privacy Importance Aware Content Based Feature Private Stochastic Private Model Private Optimization

July 18, 2023

QMNet: Importance-Aware Message Exchange for Decentralized Multi-Agent Reinforcement Learning
Xiufeng Huang, Sheng Zhou
Multi Agent Reinforcement Learning Importance Aware Priority Driven Scheduling Enhancement

July 12, 2023

On the Importance of Denoising when Learning to Compress Images
Benoit Brummer, Christophe De Vleeschouwer
Denoising Process Image Compression Importance Aware Image Pair Compressed Model Image Noise Post Compression Bitstream

July 6, 2023

Spherical CNN for Medical Imaging Applications: Importance of Equivariance in image reconstruction and denoising
Amirreza Hashemi, Yuemeng Feng, Hamid Sabet
Image Reconstruction Importance Aware Inter Part Equivariance Equivariant Network Spherical Convolutional Neural Network Medical Imaging Application

June 29, 2023

The Importance of Robust Features in Mitigating Catastrophic Forgetting
Hikmat Khan, Nidhal C. Bouaynaya, Ghulam Rasool
Continual LEArning Adversarial Robustness Catastrophic Forgetting Importance Aware Robust Dataset

June 18, 2023

The Importance of Human-Labeled Data in the Era of LLMs
Yang Liu
Large Language Model Machine Learning Model Supervised Learning Importance Aware New Era Human Labeled Human Labelling

June 9, 2023

On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning
Hojoon Lee, Koanho Lee, Dongyoon Hwang, Hyunho Lee, Byungkun Lee, Jaegul Choo
Reinforcement Learning Representation Learning Latent Representation Importance Aware Unsupervised Representation Learning Latent Manifold Feature Decorrelation Representation Collapse Predictive Representation

June 8, 2023

June 2, 2023

May 27, 2023

On the Importance of Backbone to the Adversarial Robustness of Object Detectors
Xiao Li, Hang Chen, Xiaolin Hu
Adversarial Attack Adversarial Robustness Object Detector Importance Aware Deep Learning Based Object Robust Object Detection Numerous Cutting Edge Backbone

May 24, 2023

Machine Unlearning: its nature, scope, and importance for a "delete culture"
Luciano Floridi
Machine Learning Machine Learning Model Machine Unlearning Importance Aware Landscape Image Scope Sensitive Digital Age Long Form Deletion

Importance Aware

Papers

Machine Learning Based Analytics for the Significance of Gait Analysis in Monitoring and Managing Lower Extremity Injuries

The Importance of Multimodal Emotion Conditioning and Affect Consistency for Embodied Conversational Agents

Importance of negative sampling in weak label learning

Getting too personal(ized): The importance of feature choice in online adaptive algorithms

Sherlock Holmes Doesn't Play Dice: The significance of Evidence Theory for the Social and Life Sciences

On the Importance of Spatial Relations for Few-shot Action Recognition

The importance of feature preprocessing for differentially private linear optimization

QMNet: Importance-Aware Message Exchange for Decentralized Multi-Agent Reinforcement Learning

On the Importance of Denoising when Learning to Compress Images

Spherical CNN for Medical Imaging Applications: Importance of Equivariance in image reconstruction and denoising

The Importance of Robust Features in Mitigating Catastrophic Forgetting

The Importance of Human-Labeled Data in the Era of LLMs

On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning

On the Importance of Exploration for Generalization in Reinforcement Learning

The Importance of Time in Causal Algorithmic Recourse

Towards Source-free Domain Adaptive Semantic Segmentation via Importance-aware and Prototype-contrast Learning

Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables

Assessing the Importance of Frequency versus Compositionality for Subword-based Tokenization in NMT

On the Importance of Backbone to the Adversarial Robustness of Object Detectors

Machine Unlearning: its nature, scope, and importance for a "delete culture"