:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Haoyang, Kuang, Yufei, Wang, Jie, Li, Xijun, Zhang, Yongdong, Wu, Feng
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2310.14161
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MILP-StuDio: MILP Instance Generation via Block Structure Decomposition
by: Liu, Haoyang, et al.
Published: (2024)

A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability
by: Geng, Zijie, et al.
Published: (2023)

Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics
by: Liu, Hongyu, et al.
Published: (2024)

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

Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
by: Liu, Haoyang, et al.
Published: (2025)

On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
by: Liu, Chen, et al.
Published: (2021)

Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives
by: Liu, Wei, et al.
Published: (2026)

Out-of-Distribution Generalized Dynamic Graph Neural Network with Disentangled Intervention and Invariance Promotion
by: Zhang, Zeyang, et al.
Published: (2023)

Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver
by: Zhou, Changliang, et al.
Published: (2024)

Accelerating PDE Data Generation via Differential Operator Action in Solution Space
by: Dong, Huanshuo, et al.
Published: (2024)

GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver
by: Oganov, Aleksandr, et al.
Published: (2025)

Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming
by: Wang, Jie, et al.
Published: (2024)

AROID: Improving Adversarial Robustness Through Online Instance-Wise Data Augmentation
by: Li, Lin, et al.
Published: (2023)

Deep EEG Super-Resolution: Upsampling EEG Spatial Resolution with Generative Adversarial Networks
by: Corley, Isaac, et al.
Published: (2025)

Automated Optimization Modeling via a Localizable Error-Driven Perspective
by: Liu, Weiting, et al.
Published: (2026)

AGRAG: Advanced Graph-based Retrieval-Augmented Generation for LLMs
by: Wang, Yubo, et al.
Published: (2025)

Adversarial Learning for Neural PDE Solvers with Sparse Data
by: Gong, Yunpeng, et al.
Published: (2024)

Inverse Evolution Data Augmentation for Neural PDE Solvers
by: Liu, Chaoyu, et al.
Published: (2025)

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization
by: Zhang, Zuyu, et al.
Published: (2025)

AXIL: Exact Instance Attribution for Gradient Boosting
by: Geertsema, Paul, et al.
Published: (2023)

Distributed Learning with Adversarial Gradient Perturbations
by: Sangsiri, Nawapon, et al.
Published: (2026)

Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
by: Liu, Haoyang, et al.
Published: (2024)

Exact Instance Compression for Convex Empirical Risk Minimization via Color Refinement
by: Zhu, Bryan, et al.
Published: (2026)

GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning
by: Yu, Chuanyue, et al.
Published: (2025)

Data Augmentation for Continual RL via Adversarial Gradient Episodic Memory
by: Wu, Sihao, et al.
Published: (2024)

Learning Causal Transition Matrix for Instance-dependent Label Noise
by: Li, Jiahui, et al.
Published: (2024)

Distributionally Generative Augmentation for Fair Facial Attribute Classification
by: Zhang, Fengda, et al.
Published: (2024)

Medusa: Cross-Modal Transferable Adversarial Attacks on Multimodal Medical Retrieval-Augmented Generation
by: Shang, Yingjia, et al.
Published: (2025)

Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
by: Liu, Bowen, et al.
Published: (2024)

Unifying Adversarial Perturbation for Graph Neural Networks
by: Yang, Jinluan, et al.
Published: (2025)

Towards Adversarially Robust Dataset Distillation by Curvature Regularization
by: Xue, Eric, et al.
Published: (2024)

GORAG: Graph-based Online Retrieval Augmented Generation for Dynamic Few-shot Social Media Text Classification
by: Wang, Yubo, et al.
Published: (2025)

Are Your Generated Instances Truly Useful? GenBench-MILP: A Benchmark Suite for MILP Instance Generation
by: Luo, Yidong, et al.
Published: (2025)

OmniPrism: Learning Disentangled Visual Concept for Image Generation
by: Li, Yangyang, et al.
Published: (2024)

Alleviating Structural Distribution Shift in Graph Anomaly Detection
by: Gao, Yuan, et al.
Published: (2024)

Attention-stacked Generative Adversarial Network (AS-GAN)-empowered Sensor Data Augmentation for Online Monitoring of Manufacturing System
by: Li, Yuxuan, et al.
Published: (2023)

Instance-Adaptive Online Multicalibration
by: Huang, Zhiming, et al.
Published: (2026)

Defending Jailbreak Prompts via In-Context Adversarial Game
by: Zhou, Yujun, et al.
Published: (2024)

Adversarial Label Invariant Graph Data Augmentations for Out-of-Distribution Generalization
by: Zhang, Simon, et al.
Published: (2026)

Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation
by: Jia, Chengxing, et al.
Published: (2024)