Human Heterogeneity Invariant Stress Sensing
Fuente:
arXiv
Saved in:
| Main Authors: | Xiao, Yi, Sharma, Harshit, Kaur, Sawinder, Bergen-Cico, Dessa, Salekin, Asif |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CRoP: Context-wise Robust Static Human-Sensing Personalization
by: Kaur, Sawinder, et al.
Published: (2024)
by: Kaur, Sawinder, et al.
Published: (2024)
CurvFed: Curvature-Aligned Federated Learning for Fairness without Demographics
by: Sharma, Harshit, et al.
Published: (2024)
by: Sharma, Harshit, et al.
Published: (2024)
Ethical Fairness in Ubiquitous Health Sensing without Known Attributes
by: Roy, Shaily, et al.
Published: (2026)
by: Roy, Shaily, et al.
Published: (2026)
UnIT: Scalable Unstructured Inference-Time Pruning for MAC-efficient Neural Inference on MCUs
by: Neth, Ashe, et al.
Published: (2025)
by: Neth, Ashe, et al.
Published: (2025)
MoECollab: Democratizing LLM Development Through Collaborative Mixture of Experts
by: Harshit
Published: (2025)
by: Harshit
Published: (2025)
Accuracy-Constrained CNN Pruning for Efficient and Reliable EEG-Based Seizure Detection
by: K, Mounvik, et al.
Published: (2025)
by: K, Mounvik, et al.
Published: (2025)
FedSCAM (Federated Sharpness-Aware Minimization with Clustered Aggregation and Modulation): Scam-resistant SAM for Robust Federated Optimization in Heterogeneous Environments
by: Rahil, Sameer, et al.
Published: (2025)
by: Rahil, Sameer, et al.
Published: (2025)
HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model
by: Van Katwyk, Peter, et al.
Published: (2025)
by: Van Katwyk, Peter, et al.
Published: (2025)
ARGUS: Adaptive Rotation-Invariant Geometric Unsupervised System
by: Sharma, Anantha
Published: (2026)
by: Sharma, Anantha
Published: (2026)
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
by: Kaur, Jivat Neet, et al.
Published: (2022)
by: Kaur, Jivat Neet, et al.
Published: (2022)
InvarGC: Invariant Granger Causality for Heterogeneous Interventional Time Series under Latent Confounding
by: Zhang, Ziyi, et al.
Published: (2025)
by: Zhang, Ziyi, et al.
Published: (2025)
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks
by: Chakraborty, Biswadeep, et al.
Published: (2024)
by: Chakraborty, Biswadeep, et al.
Published: (2024)
Contrastive Preference Learning: Learning from Human Feedback without RL
by: Hejna, Joey, et al.
Published: (2023)
by: Hejna, Joey, et al.
Published: (2023)
Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals
by: Luo, Yunfei, et al.
Published: (2024)
by: Luo, Yunfei, et al.
Published: (2024)
Dywave: Event-Aligned Dynamic Tokenization for Heterogeneous IoT Sensing Signals
by: Kimura, Tomoyoshi, et al.
Published: (2026)
by: Kimura, Tomoyoshi, et al.
Published: (2026)
iCost: A Novel Instance Complexity Based Cost-Sensitive Learning Framework
by: Newaz, Asif, et al.
Published: (2024)
by: Newaz, Asif, et al.
Published: (2024)
DIB-OD: Preserving the Invariant Core for Robust Heterogeneous Graph Adaptation via Decoupled Information Bottleneck and Online Distillation
by: Yan, Yang, et al.
Published: (2026)
by: Yan, Yang, et al.
Published: (2026)
Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint
by: Kumar, Harshit, et al.
Published: (2024)
by: Kumar, Harshit, et al.
Published: (2024)
Proto Successor Measure: Representing the Behavior Space of an RL Agent
by: Agarwal, Siddhant, et al.
Published: (2024)
by: Agarwal, Siddhant, et al.
Published: (2024)
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts
by: Yang, Jinluan, et al.
Published: (2024)
by: Yang, Jinluan, et al.
Published: (2024)
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
by: Jin, Gaojie, et al.
Published: (2024)
by: Jin, Gaojie, et al.
Published: (2024)
HGEN: Heterogeneous Graph Ensemble Networks
by: Shen, Jiajun, et al.
Published: (2025)
by: Shen, Jiajun, et al.
Published: (2025)
Modular Delta Merging with Orthogonal Constraints: A Scalable Framework for Continual and Reversible Model Composition
by: Khan, Haris, et al.
Published: (2025)
by: Khan, Haris, et al.
Published: (2025)
RubiCap: Rubric-Guided Reinforcement Learning for Dense Image Captioning
by: Huang, Tzu-Heng, et al.
Published: (2026)
by: Huang, Tzu-Heng, et al.
Published: (2026)
MixAtlas: Uncertainty-aware Data Mixture Optimization for Multimodal LLM Midtraining
by: Wen, Bingbing, et al.
Published: (2026)
by: Wen, Bingbing, et al.
Published: (2026)
Human + AI for Accelerating Ad Localization Evaluation
by: Rajgarhia, Harshit, et al.
Published: (2025)
by: Rajgarhia, Harshit, et al.
Published: (2025)
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
by: Xu, Haoran, et al.
Published: (2025)
by: Xu, Haoran, et al.
Published: (2025)
HGATSolver: A Heterogeneous Graph Attention Solver for Fluid-Structure Interaction
by: Zhang, Qin-Yi, et al.
Published: (2026)
by: Zhang, Qin-Yi, et al.
Published: (2026)
Psychophysiology-aided Perceptually Fluent Speech Analysis of Children Who Stutter
by: Xiao, Yi, et al.
Published: (2022)
by: Xiao, Yi, et al.
Published: (2022)
Are Heterogeneous Graph Neural Networks Truly Effective? A Causal Perspective
by: Yang, Xiao, et al.
Published: (2025)
by: Yang, Xiao, et al.
Published: (2025)
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
by: Sikchi, Harshit, et al.
Published: (2023)
by: Sikchi, Harshit, et al.
Published: (2023)
A Dual Approach to Imitation Learning from Observations with Offline Datasets
by: Sikchi, Harshit, et al.
Published: (2024)
by: Sikchi, Harshit, et al.
Published: (2024)
Heterogeneity-Aware Client Sampling for Optimal and Efficient Federated Learning
by: Weng, Shudi, et al.
Published: (2025)
by: Weng, Shudi, et al.
Published: (2025)
Generalizable Multimodal Large Language Model Editing via Invariant Trajectory Learning
by: Su, Jiajie, et al.
Published: (2026)
by: Su, Jiajie, et al.
Published: (2026)
LightSAE: Parameter-Efficient and Heterogeneity-Aware Embedding for IoT Multivariate Time Series Forecasting
by: Ren, Yi, et al.
Published: (2025)
by: Ren, Yi, et al.
Published: (2025)
Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling
by: Shen, Xu, et al.
Published: (2025)
by: Shen, Xu, et al.
Published: (2025)
HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model
by: Wang, Yuling, et al.
Published: (2025)
by: Wang, Yuling, et al.
Published: (2025)
HeteroBA: A Structure-Manipulating Backdoor Attack on Heterogeneous Graphs
by: Gao, Honglin, et al.
Published: (2025)
by: Gao, Honglin, et al.
Published: (2025)
Explainable AI for Securing Healthcare in IoT-Integrated 6G Wireless Networks
by: Kaur, Navneet, et al.
Published: (2025)
by: Kaur, Navneet, et al.
Published: (2025)
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
by: Liu, Zibo, et al.
Published: (2024)
by: Liu, Zibo, et al.
Published: (2024)
Similar Items
-
CRoP: Context-wise Robust Static Human-Sensing Personalization
by: Kaur, Sawinder, et al.
Published: (2024) -
CurvFed: Curvature-Aligned Federated Learning for Fairness without Demographics
by: Sharma, Harshit, et al.
Published: (2024) -
Ethical Fairness in Ubiquitous Health Sensing without Known Attributes
by: Roy, Shaily, et al.
Published: (2026) -
UnIT: Scalable Unstructured Inference-Time Pruning for MAC-efficient Neural Inference on MCUs
by: Neth, Ashe, et al.
Published: (2025) -
MoECollab: Democratizing LLM Development Through Collaborative Mixture of Experts
by: Harshit
Published: (2025)