Saved in:
| Main Authors: | Wang, Yichen, Wang, Jie, Wang, Fulin, Li, Xiang, Yin, Hao, Raj, Bhiksha |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.18520 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On Catastrophic Inheritance of Large Foundation Models
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints
by: Wu, Yuxuan, et al.
Published: (2024)
by: Wu, Yuxuan, et al.
Published: (2024)
A General Framework for Learning from Weak Supervision
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
CAARMA: Class Augmentation with Adversarial Mixup Regularization
by: Baali, Massa, et al.
Published: (2025)
by: Baali, Massa, et al.
Published: (2025)
Improving Membership Inference in ASR Model Auditing with Perturbed Loss Features
by: Teixeira, Francisco, et al.
Published: (2024)
by: Teixeira, Francisco, et al.
Published: (2024)
Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis
by: Liu, Zhe, et al.
Published: (2024)
by: Liu, Zhe, et al.
Published: (2024)
Gated Graph Attention Networks with Learnable Temperature
by: Ma, Zhongtian, et al.
Published: (2026)
by: Ma, Zhongtian, et al.
Published: (2026)
Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks
by: Wang, Chaojie, et al.
Published: (2024)
by: Wang, Chaojie, et al.
Published: (2024)
Masked Autoencoders Are Effective Tokenizers for Diffusion Models
by: Chen, Hao, et al.
Published: (2025)
by: Chen, Hao, et al.
Published: (2025)
WhisperRT -- Turning Whisper into a Causal Streaming Model
by: Krichli, Tomer, et al.
Published: (2025)
by: Krichli, Tomer, et al.
Published: (2025)
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
Slight Corruption in Pre-training Data Makes Better Diffusion Models
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
Knowledge Graph Construction in Power Distribution Networks
by: Li, Xiang, et al.
Published: (2023)
by: Li, Xiang, et al.
Published: (2023)
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
by: Li, Jiate, et al.
Published: (2025)
by: Li, Jiate, et al.
Published: (2025)
Navigating Spatial Inequities in Freight Truck Crash Severity via Counterfactual Inference in Los Angeles
by: Wang, Yichen, et al.
Published: (2024)
by: Wang, Yichen, et al.
Published: (2024)
Heterophily-Aware Graph Attention Network
by: Wang, Junfu, et al.
Published: (2023)
by: Wang, Junfu, et al.
Published: (2023)
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
by: Chen, Hao, et al.
Published: (2022)
by: Chen, Hao, et al.
Published: (2022)
RelUNet: Relative Channel Fusion U-Net for Multichannel Speech Enhancement
by: Aldarmaki, Ibrahim, et al.
Published: (2024)
by: Aldarmaki, Ibrahim, et al.
Published: (2024)
Tessellated Linear Model for Age Prediction from Voice
by: Alharthi, Dareen, et al.
Published: (2025)
by: Alharthi, Dareen, et al.
Published: (2025)
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs
by: He, Shuqi, et al.
Published: (2024)
by: He, Shuqi, et al.
Published: (2024)
AMCEN: An Attention Masking-based Contrastive Event Network for Two-stage Temporal Knowledge Graph Reasoning
by: Yang, Jing, et al.
Published: (2024)
by: Yang, Jing, et al.
Published: (2024)
Cross-Attention Graph Neural Networks for Inferring Gene Regulatory Networks with Skewed Degree Distribution
by: Xiong, Jiaqi, et al.
Published: (2024)
by: Xiong, Jiaqi, et al.
Published: (2024)
Detecting Credit Card Fraud via Heterogeneous Graph Neural Networks with Graph Attention
by: Sha, Qiuwu, et al.
Published: (2025)
by: Sha, Qiuwu, et al.
Published: (2025)
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models
by: Xu, Jingyao, et al.
Published: (2024)
by: Xu, Jingyao, et al.
Published: (2024)
Impact of Noisy Supervision in Foundation Model Learning
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
Attentional Graph Neural Network Is All You Need for Robust Massive Network Localization
by: Yan, Wenzhong, et al.
Published: (2023)
by: Yan, Wenzhong, et al.
Published: (2023)
HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness
by: Zhao, Zeyuan, et al.
Published: (2023)
by: Zhao, Zeyuan, et al.
Published: (2023)
Perturbation-based Graph Active Learning for Weakly-Supervised Belief Representation Learning
by: Sun, Dachun, et al.
Published: (2024)
by: Sun, Dachun, et al.
Published: (2024)
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks
by: Zhao, Zhehan, et al.
Published: (2024)
by: Zhao, Zhehan, et al.
Published: (2024)
Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
by: Jin, Hong, et al.
Published: (2025)
by: Jin, Hong, et al.
Published: (2025)
PSP: Pre-Training and Structure Prompt Tuning for Graph Neural Networks
by: Ge, Qingqing, et al.
Published: (2023)
by: Ge, Qingqing, et al.
Published: (2023)
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
by: Chen, Hao, et al.
Published: (2023)
by: Chen, Hao, et al.
Published: (2023)
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
by: Chen, Hao, et al.
Published: (2023)
by: Chen, Hao, et al.
Published: (2023)
Graph Triple Attention Network: A Decoupled Perspective
by: Wang, Xiaotang, et al.
Published: (2024)
by: Wang, Xiaotang, et al.
Published: (2024)
Graph Neural Network Enhanced Sequential Recommendation Method for Cross-Platform Ad Campaign
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Preserving Node-level Privacy in Graph Neural Networks
by: Xiang, Zihang, et al.
Published: (2023)
by: Xiang, Zihang, et al.
Published: (2023)
GADPN: Graph Adaptive Denoising and Perturbation Networks via Singular Value Decomposition
by: Deng, Hao, et al.
Published: (2026)
by: Deng, Hao, et al.
Published: (2026)
Boolean Product Graph Neural Networks
by: Wang, Ziyan, et al.
Published: (2024)
by: Wang, Ziyan, et al.
Published: (2024)
GRExplainer: A Universal Explanation Method for Temporal Graph Neural Networks
by: Li, Xuyan, et al.
Published: (2025)
by: Li, Xuyan, et al.
Published: (2025)
Feature-based Graph Attention Networks Improve Online Continual Learning
by: Sim, Adjovi, et al.
Published: (2025)
by: Sim, Adjovi, et al.
Published: (2025)
Similar Items
-
On Catastrophic Inheritance of Large Foundation Models
by: Chen, Hao, et al.
Published: (2024) -
Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints
by: Wu, Yuxuan, et al.
Published: (2024) -
A General Framework for Learning from Weak Supervision
by: Chen, Hao, et al.
Published: (2024) -
CAARMA: Class Augmentation with Adversarial Mixup Regularization
by: Baali, Massa, et al.
Published: (2025) -
Improving Membership Inference in ASR Model Auditing with Perturbed Loss Features
by: Teixeira, Francisco, et al.
Published: (2024)