Robust Active Learning (RoAL): Countering Dynamic Adversaries in Active Learning with Elastic Weight Consolidation
Fuente:
arXiv
Guardado en:
| Autores principales: | Fajri, Ricky Maulana, Pei, Yulong, Yin, Lu, Pechenizkiy, Mykola |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
On Adversarial Robustness of Language Models in Transfer Learning
por: Turbal, Bohdan, et al.
Publicado: (2024)
por: Turbal, Bohdan, et al.
Publicado: (2024)
Enhancing Adversarial Training via Reweighting Optimization Trajectory
por: Huang, Tianjin, et al.
Publicado: (2023)
por: Huang, Tianjin, et al.
Publicado: (2023)
EVCL: Elastic Variational Continual Learning with Weight Consolidation
por: Batra, Hunar, et al.
Publicado: (2024)
por: Batra, Hunar, et al.
Publicado: (2024)
Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling
por: Provodin, Danil, et al.
Publicado: (2024)
por: Provodin, Danil, et al.
Publicado: (2024)
Elastic Weight Consolidation for Knowledge Graph Continual Learning: An Empirical Evaluation
por: Jhajj, Gaganpreet, et al.
Publicado: (2025)
por: Jhajj, Gaganpreet, et al.
Publicado: (2025)
Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity
por: Muslimani, Calarina, et al.
Publicado: (2024)
por: Muslimani, Calarina, et al.
Publicado: (2024)
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets
por: Huang, Tianjin, et al.
Publicado: (2022)
por: Huang, Tianjin, et al.
Publicado: (2022)
Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning
por: Weerts, Hilde, et al.
Publicado: (2022)
por: Weerts, Hilde, et al.
Publicado: (2022)
Elastic Weight Consolidation Done Right for Continual Learning
por: Liu, Xuan, et al.
Publicado: (2026)
por: Liu, Xuan, et al.
Publicado: (2026)
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents
por: Tomilin, Tristan, et al.
Publicado: (2025)
por: Tomilin, Tristan, et al.
Publicado: (2025)
One-Shot Federated Learning with Bayesian Pseudocoresets
por: d'Hondt, Tim, et al.
Publicado: (2024)
por: d'Hondt, Tim, et al.
Publicado: (2024)
Investigating Gender Fairness in Machine Learning-driven Personalized Care for Chronic Pain
por: Gajane, Pratik, et al.
Publicado: (2024)
por: Gajane, Pratik, et al.
Publicado: (2024)
Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles
por: Du, Xin, et al.
Publicado: (2021)
por: Du, Xin, et al.
Publicado: (2021)
Rethinking Knowledge Transfer in Learning Using Privileged Information
por: Provodin, Danil, et al.
Publicado: (2024)
por: Provodin, Danil, et al.
Publicado: (2024)
Learning to Actively Learn: A Robust Approach
por: Zhang, Jifan, et al.
Publicado: (2020)
por: Zhang, Jifan, et al.
Publicado: (2020)
Robust Offline Active Learning on Graphs
por: Wu, Yuanchen, et al.
Publicado: (2024)
por: Wu, Yuanchen, et al.
Publicado: (2024)
ModSec-AdvLearn: Countering Adversarial SQL Injections with Robust Machine Learning
por: Floris, Giuseppe, et al.
Publicado: (2023)
por: Floris, Giuseppe, et al.
Publicado: (2023)
Conformalized Exceptional Model Mining: Telling Where Your Model Performs (Not) Well
por: Du, Xin, et al.
Publicado: (2025)
por: Du, Xin, et al.
Publicado: (2025)
A Dual-Agent Adversarial Framework for Robust Generalization in Deep Reinforcement Learning
por: Xie, Zhengpeng, et al.
Publicado: (2025)
por: Xie, Zhengpeng, et al.
Publicado: (2025)
Unique Rashomon Sets for Robust Active Learning
por: Nguyen, Simon, et al.
Publicado: (2025)
por: Nguyen, Simon, et al.
Publicado: (2025)
CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation
por: Aslam, Saba, et al.
Publicado: (2024)
por: Aslam, Saba, et al.
Publicado: (2024)
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers
por: Atashgahi, Zahra, et al.
Publicado: (2023)
por: Atashgahi, Zahra, et al.
Publicado: (2023)
Domain Adversarial Active Learning for Domain Generalization Classification
por: Chen, Jianting, et al.
Publicado: (2024)
por: Chen, Jianting, et al.
Publicado: (2024)
SMT-Based Active Learning of Weighted Automata
por: Ferreira, Tiago, et al.
Publicado: (2026)
por: Ferreira, Tiago, et al.
Publicado: (2026)
ImitAL: Learned Active Learning Strategy on Synthetic Data
por: Gonsior, Julius, et al.
Publicado: (2022)
por: Gonsior, Julius, et al.
Publicado: (2022)
RANA: Robust Active Learning for Noisy Network Alignment
por: Nan, Yixuan, et al.
Publicado: (2025)
por: Nan, Yixuan, et al.
Publicado: (2025)
Distributionally Robust Active Learning for Gaussian Process Regression
por: Takeno, Shion, et al.
Publicado: (2025)
por: Takeno, Shion, et al.
Publicado: (2025)
Feature Weighting Improves Pool-Based Sequential Active Learning for Regression
por: Wu, Dongrui
Publicado: (2026)
por: Wu, Dongrui
Publicado: (2026)
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning
por: Ahn, Jin-Hyun, et al.
Publicado: (2022)
por: Ahn, Jin-Hyun, et al.
Publicado: (2022)
SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks
por: Formento, Brian, et al.
Publicado: (2024)
por: Formento, Brian, et al.
Publicado: (2024)
Counterfactual Explanations for Time Series Should be Human-Centered and Temporally Coherent in Interventions
por: Chukwu, Emmanuel C., et al.
Publicado: (2025)
por: Chukwu, Emmanuel C., et al.
Publicado: (2025)
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning
por: Magistri, Simone, et al.
Publicado: (2024)
por: Magistri, Simone, et al.
Publicado: (2024)
PromptAL: Sample-Aware Dynamic Soft Prompts for Few-Shot Active Learning
por: Xiang, Hui, et al.
Publicado: (2025)
por: Xiang, Hui, et al.
Publicado: (2025)
Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity
por: Xiao, Qiao, et al.
Publicado: (2025)
por: Xiao, Qiao, et al.
Publicado: (2025)
Cumulative Meta-Learning from Active Learning Queries for Robustness to Spurious Correlations
por: Chew, Kin Whye, et al.
Publicado: (2026)
por: Chew, Kin Whye, et al.
Publicado: (2026)
Generalized Coverage for More Robust Low-Budget Active Learning
por: Bae, Wonho, et al.
Publicado: (2024)
por: Bae, Wonho, et al.
Publicado: (2024)
AutoAL: Automated Active Learning with Differentiable Query Strategy Search
por: Wang, Yifeng, et al.
Publicado: (2024)
por: Wang, Yifeng, et al.
Publicado: (2024)
Geometry-aware Active Learning of Spatiotemporal Dynamic Systems
por: Zhang, Xizhuo, et al.
Publicado: (2025)
por: Zhang, Xizhuo, et al.
Publicado: (2025)
Lifelong Learning with Behavior Consolidation for Vehicle Routing
por: Pei, Jiyuan, et al.
Publicado: (2025)
por: Pei, Jiyuan, et al.
Publicado: (2025)
regAL: Python Package for Active Learning of Regression Problems
por: Surzhikova, Elizaveta, et al.
Publicado: (2024)
por: Surzhikova, Elizaveta, et al.
Publicado: (2024)
Ejemplares similares
-
On Adversarial Robustness of Language Models in Transfer Learning
por: Turbal, Bohdan, et al.
Publicado: (2024) -
Enhancing Adversarial Training via Reweighting Optimization Trajectory
por: Huang, Tianjin, et al.
Publicado: (2023) -
EVCL: Elastic Variational Continual Learning with Weight Consolidation
por: Batra, Hunar, et al.
Publicado: (2024) -
Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling
por: Provodin, Danil, et al.
Publicado: (2024) -
Elastic Weight Consolidation for Knowledge Graph Continual Learning: An Empirical Evaluation
por: Jhajj, Gaganpreet, et al.
Publicado: (2025)