Step-E: A Differentiable Data Cleaning Framework for Robust Learning with Noisy Labels
Fuente:
arXiv
Saved in:
| Main Author: | Du, Wenzhang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Retrieval-Augmented Memory for Online Learning
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
Contract-Driven QoE Auditing for Speech and Singing Services: From MOS Regression to Service Graphs
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
Mitigating Catastrophic Forgetting in Streaming Generative and Predictive Learning via Stateful Replay
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
Label Smoothing is a Pragmatic Information Bottleneck
by: Kudo, Sota
Published: (2025)
by: Kudo, Sota
Published: (2025)
Contract-Governed Training for Earth Observation: Observed Service Agreement Graphs and Coverage-Accuracy Trade-offs
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
CAO: Curvature-Adaptive Optimization via Periodic Low-Rank Hessian Sketching
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios
by: Li, Tianle, et al.
Published: (2025)
by: Li, Tianle, et al.
Published: (2025)
Hybrid Imbalanced Regression Through Unified Data-Level and Algorithm-Level Balancing
by: Shahbazi, Shermin, et al.
Published: (2026)
by: Shahbazi, Shermin, et al.
Published: (2026)
A Comparative Study of Feature Selection in Tsetlin Machines
by: Halenka, Vojtech, et al.
Published: (2025)
by: Halenka, Vojtech, et al.
Published: (2025)
Prediction-space knowledge markets for communication-efficient federated learning on multimedia tasks
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
Tricks and Plug-ins for Gradient Boosting in Image Classification
by: Fang, Biyi, et al.
Published: (2025)
by: Fang, Biyi, et al.
Published: (2025)
Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension
by: Herde, Marek, et al.
Published: (2024)
by: Herde, Marek, et al.
Published: (2024)
Predicting Microbial Interactions Using Graph Neural Networks
by: Gholamzadeh, Elham, et al.
Published: (2025)
by: Gholamzadeh, Elham, et al.
Published: (2025)
EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory
by: K, Prasanth K, et al.
Published: (2025)
by: K, Prasanth K, et al.
Published: (2025)
torchsom: The Reference PyTorch Library for Self-Organizing Maps
by: Berthier, Louis, et al.
Published: (2025)
by: Berthier, Louis, et al.
Published: (2025)
Optimized Gradient Clipping for Noisy Label Learning
by: Ye, Xichen, et al.
Published: (2024)
by: Ye, Xichen, et al.
Published: (2024)
Massive Redundancy in Gradient Transport Enables Sparse Online Learning
by: Merin, Aur Shalev
Published: (2026)
by: Merin, Aur Shalev
Published: (2026)
Neural Velocity for hyperparameter tuning
by: Dalmasso, Gianluca, et al.
Published: (2025)
by: Dalmasso, Gianluca, et al.
Published: (2025)
FDQN: A Flexible Deep Q-Network Framework for Game Automation
by: Gujavarthy, Prabhath Reddy
Published: (2024)
by: Gujavarthy, Prabhath Reddy
Published: (2024)
CVCM Track Circuits Pre-emptive Failure Diagnostics for Predictive Maintenance Using Deep Neural Networks
by: Mukherjee, Debdeep, et al.
Published: (2025)
by: Mukherjee, Debdeep, et al.
Published: (2025)
Optimizing Inference in Transformer-Based Models: A Multi-Method Benchmark
by: Ho, Siu Hang, et al.
Published: (2025)
by: Ho, Siu Hang, et al.
Published: (2025)
Guiding Sparse Neural Networks with Neurobiological Principles to Elicit Biologically Plausible Representations
by: Inoue, Patrick, et al.
Published: (2026)
by: Inoue, Patrick, et al.
Published: (2026)
Explicit Dropout: Deterministic Regularization for Transformer Architectures
by: Agrawal, Vidhi, et al.
Published: (2026)
by: Agrawal, Vidhi, et al.
Published: (2026)
Track Component Failure Detection Using Data Analytics over existing STDS Track Circuit data
by: López, Francisco, et al.
Published: (2025)
by: López, Francisco, et al.
Published: (2025)
Generalizable IoT Traffic Representations for Cross-Network Device Identification
by: Sivanathan, Arunan, et al.
Published: (2026)
by: Sivanathan, Arunan, et al.
Published: (2026)
Scalable, Technology-Agnostic Diagnosis and Predictive Maintenance for Point Machine using Deep Learning
by: Di Santi, Eduardo, et al.
Published: (2025)
by: Di Santi, Eduardo, et al.
Published: (2025)
Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights
by: Abedinia, Aydin, et al.
Published: (2025)
by: Abedinia, Aydin, et al.
Published: (2025)
CellARC: Measuring Intelligence with Cellular Automata
by: Lžičař, Miroslav
Published: (2025)
by: Lžičař, Miroslav
Published: (2025)
On Divergence Measures for Training GFlowNets
by: da Silva, Tiago, et al.
Published: (2024)
by: da Silva, Tiago, et al.
Published: (2024)
AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark
by: Katakam, Raj Kiran Gupta
Published: (2026)
by: Katakam, Raj Kiran Gupta
Published: (2026)
AdaCap: An Adaptive Contrastive Approach for Small-Data Neural Networks
by: Belucci, Bruno, et al.
Published: (2025)
by: Belucci, Bruno, et al.
Published: (2025)
Measuring Intent Comprehension in LLMs
by: Kunievsky, Nadav, et al.
Published: (2025)
by: Kunievsky, Nadav, et al.
Published: (2025)
Structured Contrastive Learning for Interpretable Latent Representations
by: Shen, Zhengyang, et al.
Published: (2025)
by: Shen, Zhengyang, et al.
Published: (2025)
GraphNNK -- Graph Classification and Interpretability
by: Bolevic, Zeljko, et al.
Published: (2026)
by: Bolevic, Zeljko, et al.
Published: (2026)
From Point to probabilistic gradient boosting for claim frequency and severity prediction
by: Chevalier, Dominik, et al.
Published: (2024)
by: Chevalier, Dominik, et al.
Published: (2024)
Automated Detection of Circadian-Dependent Epileptic Biomarkers for Seizure Localization: A Machine Learning and Signal Processing Framework
by: Gashti, Mehdi Zekriyapanah, et al.
Published: (2025)
by: Gashti, Mehdi Zekriyapanah, et al.
Published: (2025)
Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectories
by: Larsen, Olav Finne Praesteng, et al.
Published: (2025)
by: Larsen, Olav Finne Praesteng, et al.
Published: (2025)
The Impact of Data Characteristics on GNN Evaluation for Detecting Fake News
by: Karn, Isha, et al.
Published: (2025)
by: Karn, Isha, et al.
Published: (2025)
City-Conditioned Memory for Multi-City Traffic and Mobility Forecasting
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
by: Hung, Wei, et al.
Published: (2025)
by: Hung, Wei, et al.
Published: (2025)
Similar Items
-
Retrieval-Augmented Memory for Online Learning
by: Du, Wenzhang
Published: (2025) -
Contract-Driven QoE Auditing for Speech and Singing Services: From MOS Regression to Service Graphs
by: Du, Wenzhang
Published: (2025) -
Mitigating Catastrophic Forgetting in Streaming Generative and Predictive Learning via Stateful Replay
by: Du, Wenzhang
Published: (2025) -
Label Smoothing is a Pragmatic Information Bottleneck
by: Kudo, Sota
Published: (2025) -
Contract-Governed Training for Earth Observation: Observed Service Agreement Graphs and Coverage-Accuracy Trade-offs
by: Du, Wenzhang
Published: (2025)