Pre-train to Gain: Robust Learning Without Clean Labels
Fuente:
arXiv
Saved in:
| Main Authors: | Szczecina, David, Pellegrino, Nicholas, Fieguth, Paul |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hard Samples, Bad Labels: Robust Loss Functions That Know When to Back Off
by: Pellegrino, Nicholas, et al.
Published: (2025)
by: Pellegrino, Nicholas, et al.
Published: (2025)
Effects of Initialization Biases on Deep Neural Network Training Dynamics
by: Pellegrino, Nicholas, et al.
Published: (2025)
by: Pellegrino, Nicholas, et al.
Published: (2025)
AiGAS-dEVL: An Adaptive Incremental Neural Gas Model for Drifting Data Streams under Extreme Verification Latency
by: Arostegi, Maria, et al.
Published: (2024)
by: Arostegi, Maria, et al.
Published: (2024)
Solar Irradiation Forecasting using Genetic Algorithms
by: Gunasekaran, V., et al.
Published: (2021)
by: Gunasekaran, V., et al.
Published: (2021)
Combining AI Control Systems and Human Decision Support via Robustness and Criticality
by: Woods, Walt, et al.
Published: (2024)
by: Woods, Walt, et al.
Published: (2024)
Composition of Relational Features with an Application to Explaining Black-Box Predictors
by: Srinivasan, Ashwin, et al.
Published: (2022)
by: Srinivasan, Ashwin, et al.
Published: (2022)
Architecture-Induced Recoverability Bias in Differentiable Symbolic Regression
by: Gupta, Chakshu, et al.
Published: (2026)
by: Gupta, Chakshu, et al.
Published: (2026)
Pulse-Driven Neural Architecture: Learnable Oscillatory Dynamics for Robust Continuous-Time Sequence Processing
by: Sharma, Paras
Published: (2026)
by: Sharma, Paras
Published: (2026)
Resource-constrained Amazons chess decision framework integrating large language models and graph attention
by: Qian, Tianhao, et al.
Published: (2026)
by: Qian, Tianhao, et al.
Published: (2026)
Rapid training of Hamiltonian graph networks using random features
by: Rahma, Atamert, et al.
Published: (2025)
by: Rahma, Atamert, et al.
Published: (2025)
Dynamical Alignment: A Principle for Adaptive Neural Computation
by: Chen, Xia
Published: (2025)
by: Chen, Xia
Published: (2025)
AiGAS-dEVL-RC: An Adaptive Growing Neural Gas Model for Recurrently Drifting Unsupervised Data Streams
by: Arostegi, Maria, et al.
Published: (2025)
by: Arostegi, Maria, et al.
Published: (2025)
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
by: Nowotny, Thomas, et al.
Published: (2022)
by: Nowotny, Thomas, et al.
Published: (2022)
Game-Theoretic Gradient Control for Robust Neural Network Training
by: Zaitseva, Maria, et al.
Published: (2025)
by: Zaitseva, Maria, et al.
Published: (2025)
Scalable Nested Optimization for Deep Learning
by: Lorraine, Jonathan
Published: (2024)
by: Lorraine, Jonathan
Published: (2024)
Algorithmic Analysis of Dense Associative Memory: Finite-Size Guarantees and Adversarial Robustness
by: Gaikwad, Madhava
Published: (2026)
by: Gaikwad, Madhava
Published: (2026)
Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks
by: Kunze, Tarek, et al.
Published: (2024)
by: Kunze, Tarek, et al.
Published: (2024)
Breaching the Bottleneck: Evolutionary Transition from Reward-Driven Learning to Reward-Agnostic Domain-Adapted Learning in Neuromodulated Neural Nets
by: Arnold, Solvi, et al.
Published: (2024)
by: Arnold, Solvi, et al.
Published: (2024)
Information flow in multilayer perceptrons: an in-depth analysis
by: Armano, Giuliano
Published: (2025)
by: Armano, Giuliano
Published: (2025)
Alternating Bi-Objective Optimization for Explainable Neuro-Fuzzy Systems
by: Khaled, Qusai, et al.
Published: (2026)
by: Khaled, Qusai, et al.
Published: (2026)
On the Convergence and Stability of Upside-Down Reinforcement Learning, Goal-Conditioned Supervised Learning, and Online Decision Transformers
by: Štrupl, Miroslav, et al.
Published: (2025)
by: Štrupl, Miroslav, et al.
Published: (2025)
Phase-Coded Memory and Morphological Resonance: A Next-Generation Retrieval-Augmented Generator Architecture
by: Saklakov, Denis V.
Published: (2025)
by: Saklakov, Denis V.
Published: (2025)
Efficient NAS with FaDE on Hierarchical Spaces
by: Neumeyer, Simon, et al.
Published: (2024)
by: Neumeyer, Simon, et al.
Published: (2024)
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
by: Innocenti, Francesco, et al.
Published: (2024)
by: Innocenti, Francesco, et al.
Published: (2024)
$μ$PC: Scaling Predictive Coding to 100+ Layer Networks
by: Innocenti, Francesco, et al.
Published: (2025)
by: Innocenti, Francesco, et al.
Published: (2025)
On the Infinite Width and Depth Limits of Predictive Coding Networks
by: Innocenti, Francesco, et al.
Published: (2026)
by: Innocenti, Francesco, et al.
Published: (2026)
Efficient and Flexible Neural Network Training through Layer-wise Feedback Propagation
by: Weber, Leander, et al.
Published: (2023)
by: Weber, Leander, et al.
Published: (2023)
A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making
by: Subramanian, Chitra, et al.
Published: (2024)
by: Subramanian, Chitra, et al.
Published: (2024)
Combining Trained Models in Reinforcement Learning
by: Patil, Ujjwal, et al.
Published: (2026)
by: Patil, Ujjwal, et al.
Published: (2026)
The Coordinate System Problem in Persistent Structural Memory for Neural Architectures
by: Basu, Abhinaba
Published: (2026)
by: Basu, Abhinaba
Published: (2026)
LAWS: Learning from Actual Workloads Symbolically -- A Self-Certifying Parametrized Cache Architecture for Neural Inference, Robotics, and Edge Deployment
by: Magarshak, Gregory
Published: (2026)
by: Magarshak, Gregory
Published: (2026)
FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision
by: Ma, Jingxiao, et al.
Published: (2025)
by: Ma, Jingxiao, et al.
Published: (2025)
EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
Graph Expansion in Pruned Recurrent Neural Network Layers Preserve Performance
by: Kalra, Suryam Arnav, et al.
Published: (2024)
by: Kalra, Suryam Arnav, et al.
Published: (2024)
Evolved Developmental Artificial Neural Networks for Multitasking with Advanced Activity Dependence
by: Zhang, Yintong, et al.
Published: (2024)
by: Zhang, Yintong, et al.
Published: (2024)
Task-Synchronized Recurrent Neural Networks
by: Lukoševičius, Mantas, et al.
Published: (2022)
by: Lukoševičius, Mantas, et al.
Published: (2022)
Full Domain Analysis in Fluid Dynamics
by: Hagg, Alexander, et al.
Published: (2025)
by: Hagg, Alexander, et al.
Published: (2025)
mlx-snn: Spiking Neural Networks on Apple Silicon via MLX
by: Qin, Jiahao
Published: (2026)
by: Qin, Jiahao
Published: (2026)
Step-E: A Differentiable Data Cleaning Framework for Robust Learning with Noisy Labels
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
Collapse or Preserve: Data-Dependent Temporal Aggregation for Spiking Neural Network Acceleration
by: Qin, Jiahao
Published: (2026)
by: Qin, Jiahao
Published: (2026)
Similar Items
-
Hard Samples, Bad Labels: Robust Loss Functions That Know When to Back Off
by: Pellegrino, Nicholas, et al.
Published: (2025) -
Effects of Initialization Biases on Deep Neural Network Training Dynamics
by: Pellegrino, Nicholas, et al.
Published: (2025) -
AiGAS-dEVL: An Adaptive Incremental Neural Gas Model for Drifting Data Streams under Extreme Verification Latency
by: Arostegi, Maria, et al.
Published: (2024) -
Solar Irradiation Forecasting using Genetic Algorithms
by: Gunasekaran, V., et al.
Published: (2021) -
Combining AI Control Systems and Human Decision Support via Robustness and Criticality
by: Woods, Walt, et al.
Published: (2024)