Cover Image

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Guanghui, Fang, Xin, Cheng, Feng, Wang, Lei, Chen, Wenzhong, Yuan, Chunfeng, Huang, Yihua
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Simple and Efficient Partial Graph Adversarial Attack: A New Perspective
by: Zhu, Guanghui, et al.
Published: (2023)

HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks
by: Zhu, Guanghui, et al.
Published: (2023)

DelvePO: Direction-Guided Self-Evolving Framework for Flexible Prompt Optimization
by: Tao, Tao, et al.
Published: (2025)

SA-GNAS: Seed Architecture Expansion for Efficient Large-scale Graph Neural Architecture Search
by: Zhu, Guanghui, et al.
Published: (2024)

Uncovering Latent Communication Patterns in Brain Networks via Adaptive Flow Routing
by: Huang, Tianhao, et al.
Published: (2026)

Wavelet Enhanced Adaptive Frequency Filter for Sequential Recommendation
by: Xu, Huayang, et al.
Published: (2025)

Speed-up of Vision Transformer Models by Attention-aware Token Filtering
by: Naruko, Takahiro, et al.
Published: (2025)

Online Causal Kalman Filtering for Stable and Effective Policy Optimization
by: He, Shuo, et al.
Published: (2026)

FastLGS: Speeding up Language Embedded Gaussians with Feature Grid Mapping
by: Ji, Yuzhou, et al.
Published: (2024)

Stable at Any Speed: Speed-Driven Multi-Object Tracking with Learnable Kalman Filtering
by: Gong, Yan, et al.
Published: (2025)

Distributed Fractional Bayesian Learning for Adaptive Optimization
by: Yang, Yaqun, et al.
Published: (2024)

Leveraging Quantum Machine Learning Generalization to Significantly Speed-up Quantum Compilation
by: Kukliansky, Alon, et al.
Published: (2024)

An Attention-Based Denoising Framework for Personality Detection in Social Media Texts
by: Lin, Lei, et al.
Published: (2023)

SAFT: Sensitivity-Aware Filtering and Transmission for Adaptive 3D Point Cloud Communication over Wireless Channels
by: Mekki, Huda Adam Sirag, et al.
Published: (2026)

Highly Efficient Waveform Design and Hybrid Duplex for Joint Communication and Sensing
by: Ma, Yihua, et al.
Published: (2022)

Learning Velocity and Acceleration: Self-Supervised Motion Consistency for Pedestrian Trajectory Prediction
by: Huang, Yizhou, et al.
Published: (2025)

PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs
by: Yu, Tongzhou, et al.
Published: (2025)

ASPIRE: Make Spectral Graph Collaborative Filtering Great Again via Adaptive Filter Learning
by: He, Yunhang, et al.
Published: (2026)

FastBUS: A Fast Bayesian Framework for Unified Weakly-Supervised Learning
by: Wang, Ziquan, et al.
Published: (2026)

Automatic Modulation Classification via Green Machine Learning
by: Yu, Chee-An, et al.
Published: (2026)

A Pairwise DomMix Attentive Adversarial Network for Unsupervised Domain Adaptive Object Detection
by: Shao, Jie, et al.
Published: (2024)

Interpretable Operator Learning for Inverse Problems via Adaptive Spectral Filtering: Convergence and Discretization Invariance
by: Dong, Hang-Cheng, et al.
Published: (2026)

StereoPilot: Learning Unified and Efficient Stereo Conversion via Generative Priors
by: Shen, Guibao, et al.
Published: (2025)

Domain Adaptive Safety Filters via Deep Operator Learning
by: Manda, Lakshmideepakreddy, et al.
Published: (2024)

OTFDM: A Novel 2D Modulation Waveform Modeling Dot-product Doubly-selective Channel
by: Ma, Yihua, et al.
Published: (2023)

LiF‐Rich Solid Electrolyte Interfaces Guarantee the Cycle Stability of Metal‐Organic Frameworks for Lithium Storage
by: Chunfeng Meng, et al.
Published: (2024)

Blind Hyperspectral and Multispectral Images Fusion: A Unified Tensor Fusion Framework from Coupled Inverse Problem Perspective
by: Gao, Ying, et al.
Published: (2026)

State Estimation Using Particle Filtering in Adaptive Machine Learning Methods: Integrating Q-Learning and NEAT Algorithms with Noisy Radar Measurements
by: Song, Wonjin, et al.
Published: (2025)

Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark
by: Cheng, Yihua, et al.
Published: (2021)

The Final Layer Holds the Key: A Unified and Efficient GNN Calibration Framework
by: Huang, Jincheng, et al.
Published: (2025)

OmniISR: A Unified Framework for Centralized and Federated Learning via Intermediate Supervision and Regularization
by: Kou, Wei-Bin, et al.
Published: (2026)

Q‐Learning Based Adaptive Kalman Filtering With Adaptive Window Length
by: Kun Tang, et al.
Published: (2024)

Degradation-Aware Adaptive Context Gating for Unified Image Restoration
by: He, Lei, et al.
Published: (2026)

Scalable Hyperparameter-Divergent Ensemble Training with Automatic Learning Rate Exploration for Large Models
by: Cheng, Hailing, et al.
Published: (2026)

Non-convex Pose Graph Optimization in SLAM via Proximal Linearized Riemannian ADMM
by: Chen, Xin, et al.
Published: (2024)

Balancing Accuracy and Speed: A Multi-Fidelity Ensemble Kalman Filter with a Machine Learning Surrogate Model
by: van der Voort, Jeffrey, et al.
Published: (2025)

DKFNet: Differentiable Kalman Filter for Field Inversion and Machine Learning
by: Wu, Yuan, et al.
Published: (2025)

Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering
by: Wu, Yihong, et al.
Published: (2024)

Towards Unified and Adaptive Cross-Domain Collaborative Filtering via Graph Signal Processing
by: Lee, Jeongeun, et al.
Published: (2024)

Cash‐Out Puzzle and Long‐Term Care Insurance: Welfare of the Elderly
by: Xiaoyan Lei, et al.
Published: (2025)