Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Dingrong, Sapkota, Hitesh, Tao, Zhiqiang, Yu, Qi
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Survey on Neural Architecture Search Based on Reinforcement Learning
by: Shao, Wenzhu
Published: (2024)

Graph Neural Architecture Search with GPT-4
by: Wang, Haishuai, et al.
Published: (2023)

Low-Rank Adapters Meet Neural Architecture Search for LLM Compression
by: Muñoz, J. Pablo, et al.
Published: (2025)

Adversarial Diffusion for Robust Reinforcement Learning
by: Foffano, Daniele, et al.
Published: (2025)

Multi-Objective Neural Architecture Search by Learning Search Space Partitions
by: Zhao, Yiyang, et al.
Published: (2024)

Similarity as Reward Alignment: Robust and Versatile Preference-based Reinforcement Learning
by: Rajaram, Sara, et al.
Published: (2025)

GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks
by: Cui, Canyixing, et al.
Published: (2026)

Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space
by: Liu, Qianmei, et al.
Published: (2024)

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach
by: Fan, Junchao, et al.
Published: (2025)

Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision
by: Zhang, Zeyang, et al.
Published: (2024)

UACER: An Uncertainty-Adaptive Critic Ensemble Framework for Robust Adversarial Reinforcement Learning
by: Wu, Jiaxi, et al.
Published: (2025)

Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks
by: Wang, Jihang, et al.
Published: (2025)

Dynamic Adversarial Reinforcement Learning for Robust Multimodal Large Language Models
by: Bao, Yicheng, et al.
Published: (2026)

NASH: Neural Architecture and Accelerator Search for Multiplication-Reduced Hybrid Models
by: Xu, Yang, et al.
Published: (2024)

Causal-aware Graph Neural Architecture Search under Distribution Shifts
by: Li, Peiwen, et al.
Published: (2024)

In Search for Architectures and Loss Functions in Multi-Objective Reinforcement Learning
by: Terekhov, Mikhail, et al.
Published: (2024)

On the Interaction of Compressibility and Adversarial Robustness
by: Barsbey, Melih, et al.
Published: (2025)

Transferrable Surrogates in Expressive Neural Architecture Search Spaces
by: Qin, Shiwen, et al.
Published: (2025)

Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search
by: Liu, Zhen, et al.
Published: (2026)

Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation
by: Yamabe, Shojiro, et al.
Published: (2024)

Robust Model-Based Reinforcement Learning with an Adversarial Auxiliary Model
by: Herremans, Siemen, et al.
Published: (2024)

Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL)
by: Adde, Nihal Acharya, et al.
Published: (2025)

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

Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits
by: Chen, Weixin, et al.
Published: (2025)

Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
by: Yao, Yihang, et al.
Published: (2023)

Enhancing Adversarial Robustness of Deep Neural Networks Through Supervised Contrastive Learning
by: Wang, Longwei, et al.
Published: (2024)

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
by: Chen, Zhaoliang, et al.
Published: (2024)

Rethinking Plasticity in Deep Reinforcement Learning
by: He, Zhiqiang
Published: (2026)

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

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

Weight-Entanglement Meets Gradient-Based Neural Architecture Search
by: Sukthanker, Rhea Sanjay, et al.
Published: (2023)

Neural Architecture Search: Two Constant Shared Weights Initialisations
by: Gracheva, Ekaterina
Published: (2023)

Agile Reinforcement Learning through Separable Neural Architecture
by: Mostakim, Rajib, et al.
Published: (2026)

Robust off-policy Reinforcement Learning via Soft Constrained Adversary
by: Nakanishi, Kosuke, et al.
Published: (2024)

Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation
by: Chai, Qisen, et al.
Published: (2025)

LLMForge: Multi-Backend Hardware-Aware Neural Architecture Search with Infinite-Head Attention for Edge Language Models
by: Jiang, Xinting, et al.
Published: (2026)

Search-Based Adversarial Estimates for Improving Sample Efficiency in Off-Policy Reinforcement Learning
by: Malato, Federico, et al.
Published: (2025)

PlatformX: An End-to-End Transferable Platform for Energy-Efficient Neural Architecture Search
by: Tu, Xiaolong, et al.
Published: (2025)

A Versatile Graph Learning Approach through LLM-based Agent
by: Wei, Lanning, et al.
Published: (2023)

Kernel-Level Energy-Efficient Neural Architecture Search for Tabular Dataset
by: La, Hoang-Loc, et al.
Published: (2025)