Copertina

HyperNAS: Enhancing Architecture Representation for NAS Predictor via Hypernetwork

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lv, Jindi, Zhou, Yuhao, Tian, Yuxin, Ye, Qing, Feng, Wentao, Lv, Jiancheng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Deploying Models to Non-participating Clients in Federated Learning without Fine-tuning: A Hypernetwork-based Approach
di: Zhou, Yuhao, et al.
Pubblicazione: (2025)

Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
di: Zhou, Yuhao, et al.
Pubblicazione: (2025)

Multi-Path Collaborative Reasoning via Reinforcement Learning
di: Lv, Jindi, et al.
Pubblicazione: (2025)

E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing
di: Zhou, Yuhao, et al.
Pubblicazione: (2025)

MS$^3$D: A RG Flow-Based Regularization for GAN Training with Limited Data
di: Wang, Jian, et al.
Pubblicazione: (2024)

HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks
di: Przewięźlikowski, M., et al.
Pubblicazione: (2022)

MicroNAS: Zero-Shot Neural Architecture Search for MCUs
di: Qiao, Ye, et al.
Pubblicazione: (2024)

HyperSteer: Activation Steering at Scale with Hypernetworks
di: Sun, Jiuding, et al.
Pubblicazione: (2025)

HyperVLA: Efficient Inference in Vision-Language-Action Models via Hypernetworks
di: Xiong, Zheng, et al.
Pubblicazione: (2025)

HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks
di: Sun, Jiuding, et al.
Pubblicazione: (2025)

HyperMARL: Adaptive Hypernetworks for Multi-Agent RL
di: Tessera, Kale-ab Abebe, et al.
Pubblicazione: (2024)

CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor
di: Ji, Han, et al.
Pubblicazione: (2025)

Universal Hypernetworks for Arbitrary Models
di: Zhou, Xuanfeng
Pubblicazione: (2026)

HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks
di: Szatkowski, Filip, et al.
Pubblicazione: (2022)

GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model
di: Yu, Caiyang, et al.
Pubblicazione: (2023)

SeqNAS: Neural Architecture Search for Event Sequence Classification
di: Udovichenko, Igor, et al.
Pubblicazione: (2024)

Rethinking KV Cache Eviction via a Unified Information-Theoretic Objective
di: Yang, Jiaming, et al.
Pubblicazione: (2026)

FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models
di: Qin, Ruiyang, et al.
Pubblicazione: (2024)

TG-NAS: Generalizable Zero-Cost Proxies with Operator Description Embedding and Graph Learning for Efficient Neural Architecture Search
di: Qiao, Ye, et al.
Pubblicazione: (2024)

HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
di: Książek, Kamil, et al.
Pubblicazione: (2023)

OptiProxy-NAS: Optimization Proxy based End-to-End Neural Architecture Search
di: Lyu, Bo, et al.
Pubblicazione: (2025)

RegimeNAS: Regime-Aware Differentiable Architecture Search With Theoretical Guarantees for Financial Trading
di: Devadiga, Prathamesh, et al.
Pubblicazione: (2025)

Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem
di: Huang, Chen, et al.
Pubblicazione: (2024)

TensorHyper-VQC: A Tensor-Train-Guided Hypernetwork for Robust and Scalable Variational Quantum Computing
di: Qi, Jun, et al.
Pubblicazione: (2025)

Enhancing Noise Robustness of Parkinson's Disease Telemonitoring via Contrastive Feature Augmentation
di: Tang, Ziming, et al.
Pubblicazione: (2025)

FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks
di: Song, Jiarui, et al.
Pubblicazione: (2025)

HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge Representation
di: Hu, Zhiwei, et al.
Pubblicazione: (2024)

Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork
di: Jin, Yonggang, et al.
Pubblicazione: (2023)

MorphNAS: Differentiable Architecture Search for Morphologically-Aware Multilingual NER
di: Devadiga, Prathamesh, et al.
Pubblicazione: (2025)

Prototype Augmented Hypernetworks for Continual Learning
di: De La Fuente, Neil, et al.
Pubblicazione: (2025)

MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets
di: Liao, Peng, et al.
Pubblicazione: (2024)

SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation
di: Termritthikun, Chakkrit, et al.
Pubblicazione: (2024)

Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion
di: Lee, Jaejun, et al.
Pubblicazione: (2026)

DPFNAS: Differential Privacy-Enhanced Federated Neural Architecture Search for 6G Edge Intelligence
di: Lv, Yang, et al.
Pubblicazione: (2025)

SEval-NAS: A Search-Agnostic Evaluation for Neural Architecture Search
di: Mih, Atah Nuh, et al.
Pubblicazione: (2026)

GQWformer: A Quantum-based Transformer for Graph Representation Learning
di: Yu, Lei, et al.
Pubblicazione: (2024)

An Efficient NAS-based Approach for Handling Imbalanced Datasets
di: Yao, Zhiwei
Pubblicazione: (2024)

Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
di: Chung, Chanyoung, et al.
Pubblicazione: (2023)

Fast Unsupervised Deep Outlier Model Selection with Hypernetworks
di: Ding, Xueying, et al.
Pubblicazione: (2023)

Enhance Hyperbolic Representation Learning via Second-order Pooling
di: Song, Kun, et al.
Pubblicazione: (2024)