:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shi, Xiupeng, Wong, Yiik Diew, Chai, Chen, Li, Michael Zhi-Feng, Chen, Tianyi, Zeng, Zeng
Format:	Preprint
Published:	2020
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2011.11933
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Explainable AutoML (xAutoML) with adaptive modeling for yield enhancement in semiconductor smart manufacturing
by: Zhai, Weihong, et al.
Published: (2024)

Exploring the Impact of Rainfall on Vehicle Trajectory Patterns and Sideslip Risk: An Empirical Investigation
by: Bo Wang, et al.
Published: (2024)

Damper-B-PINN: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Vehicle State Estimation
by: Zeng, Tianyi, et al.
Published: (2025)

Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts
by: Zeng, E. Zhixuan, et al.
Published: (2024)

SCALEX: Scalable Concept and Latent Exploration for Diffusion Models
by: Zeng, E. Zhixuan, et al.
Published: (2025)

Towards Learnable Anchor for Deep Multi-View Clustering
by: Wang, Bocheng, et al.
Published: (2025)

DeNoise: Learning Robust Graph Representations for Unsupervised Graph-Level Anomaly Detection
by: Chen, Qingfeng, et al.
Published: (2025)

Automatically Adaptive Conformal Risk Control
by: Blot, Vincent, et al.
Published: (2024)

Unsupervised Optimisation of GNNs for Node Clustering
by: Leeney, William, et al.
Published: (2024)

DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing
by: Zhou, Junjie, et al.
Published: (2024)

Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift
by: Chen, Jun, et al.
Published: (2024)

Clustering with Communication: A Variational Framework for Single Cell Representation Learning
by: Qi, Cong, et al.
Published: (2025)

Attention Dispersion in Dynamic Graph Transformers: Diagnosis and a Transferable Fix
by: Zhang, Jinhao, et al.
Published: (2026)

Complementary Learning System Empowers Online Continual Learning of Vehicle Motion Forecasting in Smart Cities
by: Li, Zirui, et al.
Published: (2025)

Learning to Drive by Imitating Surrounding Vehicles
by: Sonmez, Yasin, et al.
Published: (2025)

Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping
by: Yuan, Jinghui, et al.
Published: (2024)

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation
by: Wang, Tianyi, et al.
Published: (2026)

Unsupervised Model Diagnosis
by: Wang, Yinong Oliver, et al.
Published: (2024)

RiskWebWorld: A Realistic Interactive Benchmark for GUI Agents in E-commerce Risk Management
by: Chen, Renqi, et al.
Published: (2026)

PILD: Physics-Informed Learning via Diffusion
by: Zeng, Tianyi, et al.
Published: (2026)

BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs
by: Ma, Tianyi, et al.
Published: (2026)

Automatic Parameter Selection for Non-Redundant Clustering
by: Leiber, Collin, et al.
Published: (2023)

Automatic Unsupervised Ensemble Outlier Model Selection--Extended Version
by: Phan, Hong-Phuc, et al.
Published: (2026)

Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data
by: Zhao, Dandan, et al.
Published: (2025)

Cluster-norm for Unsupervised Probing of Knowledge
by: Laurito, Walter, et al.
Published: (2024)

MarkovScale: Towards Optimal Sequential Scaling at Inference Time
by: Wang, Youkang, et al.
Published: (2026)

Confounded Causal Imitation Learning with Instrumental Variables
by: Zeng, Yan, et al.
Published: (2025)

Local Causal Structure Learning in the Presence of Latent Variables
by: Xie, Feng, et al.
Published: (2024)

BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
by: Zhou, Zikang, et al.
Published: (2024)

A Bayesian Hybrid Parameter-Efficient Fine-Tuning Method for Large Language Models
by: Chai, Yidong, et al.
Published: (2025)

Neural Deconstruction Search for Vehicle Routing Problems
by: Hottung, André, et al.
Published: (2025)

GradientSpace: Unsupervised Data Clustering for Improved Instruction Tuning
by: Sridharan, Shrihari, et al.
Published: (2025)

Refining Filter Global Feature Weighting for Fully-Unsupervised Clustering
by: Galis, Fabian, et al.
Published: (2025)

Martingale Score: An Unsupervised Metric for Bayesian Rationality in LLM Reasoning
by: He, Zhonghao, et al.
Published: (2025)

Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation
by: Jansonnie, Paul, et al.
Published: (2024)

Driving Through Uncertainty: Risk-Averse Control with LLM Commonsense for Autonomous Driving under Perception Deficits
by: Hu, Yuting, et al.
Published: (2025)

Autocorrelation Reintroduces Spectral Bias in KANs for Time Series Forecasting
by: Zeng, Chen, et al.
Published: (2026)

Fusing Driver Perceived and Physical Risk for Safety Critical Scenario Screening in Autonomous Driving
by: Xiong, Chen, et al.
Published: (2026)

Unsupervised Representation Learning - an Invariant Risk Minimization Perspective
by: Norman, Yotam, et al.
Published: (2025)

Testability of Instrumental Variables in Additive Nonlinear, Non-Constant Effects Models
by: Guo, Xichen, et al.
Published: (2024)