Beyond Noisy-TVs: Noise-Robust Exploration Via Learning Progress Monitoring
Fuente:
arXiv
Saved in:
| Main Authors: | Hou, Zhibo, An, Zhiyu, Du, Wan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Open Problems in Differentiable Social Choice: Learning Mechanisms, Decisions, and Alignment
by: An, Zhiyu, et al.
Published: (2026)
by: An, Zhiyu, et al.
Published: (2026)
How to Stay Curious while Avoiding Noisy TVs using Aleatoric Uncertainty Estimation
by: Mavor-Parker, Augustine N., et al.
Published: (2021)
by: Mavor-Parker, Augustine N., et al.
Published: (2021)
Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC Control
by: An, Zhiyu, et al.
Published: (2024)
by: An, Zhiyu, et al.
Published: (2024)
Enhancing Model Interpretability with Local Attribution over Global Exploration
by: Zhu, Zhiyu, et al.
Published: (2024)
by: Zhu, Zhiyu, et al.
Published: (2024)
Representational Homomorphism Predicts and Improves Compositional Generalization In Transformer Language Model
by: An, Zhiyu, et al.
Published: (2026)
by: An, Zhiyu, et al.
Published: (2026)
Disentangling Uncertainties by Learning Compressed Data Representation
by: An, Zhiyu, et al.
Published: (2025)
by: An, Zhiyu, et al.
Published: (2025)
ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability
by: Zhu, Zhiyu, et al.
Published: (2025)
by: Zhu, Zhiyu, et al.
Published: (2025)
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN
by: Zhang, Jiayu, et al.
Published: (2025)
by: Zhang, Jiayu, et al.
Published: (2025)
Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning
by: Staats, Max, et al.
Published: (2023)
by: Staats, Max, et al.
Published: (2023)
Learning Robust Reward Machines from Noisy Labels
by: Parac, Roko, et al.
Published: (2024)
by: Parac, Roko, et al.
Published: (2024)
Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor
by: Liu, Siyuan, et al.
Published: (2025)
by: Liu, Siyuan, et al.
Published: (2025)
Optimal Look-back Horizon for Time Series Forecasting in Federated Learning
by: Tang, Dahao, et al.
Published: (2025)
by: Tang, Dahao, et al.
Published: (2025)
Noisy-Pair Robust Representation Alignment for Positive-Unlabeled Learning
by: Zhao, Hengwei, et al.
Published: (2025)
by: Zhao, Hengwei, et al.
Published: (2025)
Can LLMs Learn to Reason Robustly under Noisy Supervision?
by: Yang, Shenzhi, et al.
Published: (2026)
by: Yang, Shenzhi, et al.
Published: (2026)
Noise-corrected GRPO: From Noisy Rewards to Unbiased Gradients
by: Mansouri, Omar El, et al.
Published: (2025)
by: Mansouri, Omar El, et al.
Published: (2025)
Label-free Monitoring of Self-Supervised Learning Progress
by: Xu, Isaac, et al.
Published: (2024)
by: Xu, Isaac, et al.
Published: (2024)
ETTRL: Balancing Exploration and Exploitation in LLM Test-Time Reinforcement Learning Via Entropy Mechanism
by: Liu, Jia, et al.
Published: (2025)
by: Liu, Jia, et al.
Published: (2025)
Progressive Generalization Augmentation with Deeply Coupled RND-PPO and Domain-Prioritized Noise Injection for Robust Crop Management Reinforcement Learning
by: Yang, Wu
Published: (2026)
by: Yang, Wu
Published: (2026)
Robust Learning on Noisy Graphs via Latent Space Constraints with External Knowledge
by: Gu, Chunhui, et al.
Published: (2025)
by: Gu, Chunhui, et al.
Published: (2025)
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences
by: Cheng, Jie, et al.
Published: (2024)
by: Cheng, Jie, et al.
Published: (2024)
Enhancing Noise Robustness of Parkinson's Disease Telemonitoring via Contrastive Feature Augmentation
by: Tang, Ziming, et al.
Published: (2025)
by: Tang, Ziming, et al.
Published: (2025)
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance
by: Yuan, Bo, et al.
Published: (2025)
by: Yuan, Bo, et al.
Published: (2025)
A Temporally Correlated Latent Exploration for Reinforcement Learning
by: Oh, SuMin, et al.
Published: (2024)
by: Oh, SuMin, et al.
Published: (2024)
On Symmetric Losses for Robust Policy Optimization with Noisy Preferences
by: Nishimori, Soichiro, et al.
Published: (2025)
by: Nishimori, Soichiro, et al.
Published: (2025)
EVGeoQA: Benchmarking LLMs on Dynamic, Multi-Objective Geo-Spatial Exploration
by: Wu, Jianfei, et al.
Published: (2026)
by: Wu, Jianfei, et al.
Published: (2026)
Correcting Noisy Multilabel Predictions: Modeling Label Noise through Latent Space Shifts
by: Huang, Weipeng, et al.
Published: (2025)
by: Huang, Weipeng, et al.
Published: (2025)
Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles
by: Du, Xin, et al.
Published: (2021)
by: Du, Xin, et al.
Published: (2021)
Robust Behavior Cloning Via Global Lipschitz Regularization
by: Wu, Shili, et al.
Published: (2025)
by: Wu, Shili, et al.
Published: (2025)
CleaR: Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning
by: Kim, Yeachan, et al.
Published: (2024)
by: Kim, Yeachan, et al.
Published: (2024)
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks
by: Jin, Zhibo, et al.
Published: (2024)
by: Jin, Zhibo, et al.
Published: (2024)
Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration
by: Zhao, Heyang, et al.
Published: (2025)
by: Zhao, Heyang, et al.
Published: (2025)
Improving Noise Robustness through Abstractions and its Impact on Machine Learning
by: Ibias, Alfredo, et al.
Published: (2024)
by: Ibias, Alfredo, et al.
Published: (2024)
High-dimensional Learning with Noisy Labels
by: Firdoussi, Aymane El, et al.
Published: (2024)
by: Firdoussi, Aymane El, et al.
Published: (2024)
Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data
by: Zhao, Dandan, et al.
Published: (2025)
by: Zhao, Dandan, et al.
Published: (2025)
ALVIN: Active Learning Via INterpolation
by: Korakakis, Michalis, et al.
Published: (2024)
by: Korakakis, Michalis, et al.
Published: (2024)
Contrastive Learning Via Equivariant Representation
by: Song, Sifan, et al.
Published: (2024)
by: Song, Sifan, et al.
Published: (2024)
NCSAM Noise-Compensated Sharpness-Aware Minimization for Noisy Label Learning
by: Xu, Jiayu, et al.
Published: (2026)
by: Xu, Jiayu, et al.
Published: (2026)
FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning
by: Li, Jiaoyang, et al.
Published: (2025)
by: Li, Jiaoyang, et al.
Published: (2025)
Dual Randomized Smoothing: Beyond Global Noise Variance
by: Sun, Chenhao, et al.
Published: (2025)
by: Sun, Chenhao, et al.
Published: (2025)
Learning to Clean: Reinforcement Learning for Noisy Label Correction
by: Heidari, Marzi, et al.
Published: (2025)
by: Heidari, Marzi, et al.
Published: (2025)
Similar Items
-
Open Problems in Differentiable Social Choice: Learning Mechanisms, Decisions, and Alignment
by: An, Zhiyu, et al.
Published: (2026) -
How to Stay Curious while Avoiding Noisy TVs using Aleatoric Uncertainty Estimation
by: Mavor-Parker, Augustine N., et al.
Published: (2021) -
Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC Control
by: An, Zhiyu, et al.
Published: (2024) -
Enhancing Model Interpretability with Local Attribution over Global Exploration
by: Zhu, Zhiyu, et al.
Published: (2024) -
Representational Homomorphism Predicts and Improves Compositional Generalization In Transformer Language Model
by: An, Zhiyu, et al.
Published: (2026)