Label Smoothing is a Pragmatic Information Bottleneck
Fuente:
arXiv
Saved in:
| Main Author: | Kudo, Sota |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Step-E: A Differentiable Data Cleaning Framework for Robust Learning with Noisy Labels
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
Neural Velocity for hyperparameter tuning
by: Dalmasso, Gianluca, et al.
Published: (2025)
by: Dalmasso, Gianluca, et al.
Published: (2025)
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)
multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data
by: Loza, Andrew J., et al.
Published: (2025)
by: Loza, Andrew J., et al.
Published: (2025)
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)
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)
DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting
by: Mysore, Naveen
Published: (2026)
by: Mysore, Naveen
Published: (2026)
Scaling Laws in the Tiny Regime: How Small Models Change Their Mistakes
by: Alnemari, Mohammed, et al.
Published: (2026)
by: Alnemari, Mohammed, et al.
Published: (2026)
On Divergence Measures for Training GFlowNets
by: da Silva, Tiago, et al.
Published: (2024)
by: da Silva, Tiago, et al.
Published: (2024)
GraphNNK -- Graph Classification and Interpretability
by: Bolevic, Zeljko, et al.
Published: (2026)
by: Bolevic, Zeljko, et al.
Published: (2026)
Tricks and Plug-ins for Gradient Boosting in Image Classification
by: Fang, Biyi, et al.
Published: (2025)
by: Fang, Biyi, et al.
Published: (2025)
A Comparative Study of Feature Selection in Tsetlin Machines
by: Halenka, Vojtech, et al.
Published: (2025)
by: Halenka, Vojtech, et al.
Published: (2025)
Measuring Intent Comprehension in LLMs
by: Kunievsky, Nadav, et al.
Published: (2025)
by: Kunievsky, Nadav, 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)
Predicting Microbial Interactions Using Graph Neural Networks
by: Gholamzadeh, Elham, et al.
Published: (2025)
by: Gholamzadeh, Elham, 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)
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)
Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization
by: Dai, Yanning, et al.
Published: (2026)
by: Dai, Yanning, et al.
Published: (2026)
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)
Expressivity of Representation Learning on Continuous-Time Dynamic Graphs: An Information-Flow Centric Review
by: Ennadir, Sofiane, et al.
Published: (2024)
by: Ennadir, Sofiane, et al.
Published: (2024)
SigGate-GT: Taming Over-Smoothing in Graph Transformers via Sigmoid-Gated Attention
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
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)
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)
Explicit Dropout: Deterministic Regularization for Transformer Architectures
by: Agrawal, Vidhi, et al.
Published: (2026)
by: Agrawal, Vidhi, et al.
Published: (2026)
Massive Redundancy in Gradient Transport Enables Sparse Online Learning
by: Merin, Aur Shalev
Published: (2026)
by: Merin, Aur Shalev
Published: (2026)
Lightweight Defense Against Adversarial Attacks in Time Series Classification
by: Han, Yi
Published: (2025)
by: Han, Yi
Published: (2025)
Revisiting GAN with Bayes-Optimal Discrimination
by: Naeini, Mohammadreza Tavasoli, et al.
Published: (2025)
by: Naeini, Mohammadreza Tavasoli, et al.
Published: (2025)
PolyGLU: State-Conditional Activation Routing in Transformer Feed-Forward Networks
by: Medeiros, Daniel Nobrega
Published: (2026)
by: Medeiros, Daniel Nobrega
Published: (2026)
On the Equivalence of Regression and Classification
by: Jayadeva, et al.
Published: (2025)
by: Jayadeva, et al.
Published: (2025)
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
by: Liu, Zehao, et al.
Published: (2025)
by: Liu, Zehao, et al.
Published: (2025)
Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach
by: Zhang, Xu, et al.
Published: (2025)
by: Zhang, Xu, et al.
Published: (2025)
Out of Distribution Detection for Efficient Continual Learning in Quality Prediction for Arc Welding
by: Hahn, Yannik, et al.
Published: (2025)
by: Hahn, Yannik, et al.
Published: (2025)
QuIDE: Mastering the Quantized Intelligence Trade-off via Active Optimization
by: Jiang, Xiantao
Published: (2026)
by: Jiang, Xiantao
Published: (2026)
Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations
by: Carrow, Stephen, et al.
Published: (2024)
by: Carrow, Stephen, et al.
Published: (2024)
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection
by: Febrinanto, Falih Gozi, et al.
Published: (2023)
by: Febrinanto, Falih Gozi, et al.
Published: (2023)
JacNet: Learning Functions with Structured Jacobians
by: Lorraine, Jonathan, et al.
Published: (2024)
by: Lorraine, Jonathan, et al.
Published: (2024)
EmbeddedML: A New Optimized and Fast Machine Learning Library
by: Çalışkan, Halil Hüseyin, et al.
Published: (2025)
by: Çalışkan, Halil Hüseyin, 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)
Revisiting Non-separable Binary Classification and its Applications in Anomaly Detection
by: Lau, Matthew, et al.
Published: (2023)
by: Lau, Matthew, et al.
Published: (2023)
Similar Items
-
Hybrid Imbalanced Regression Through Unified Data-Level and Algorithm-Level Balancing
by: Shahbazi, Shermin, et al.
Published: (2026) -
Step-E: A Differentiable Data Cleaning Framework for Robust Learning with Noisy Labels
by: Du, Wenzhang
Published: (2025) -
Neural Velocity for hyperparameter tuning
by: Dalmasso, Gianluca, et al.
Published: (2025) -
CVCM Track Circuits Pre-emptive Failure Diagnostics for Predictive Maintenance Using Deep Neural Networks
by: Mukherjee, Debdeep, et al.
Published: (2025) -
multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data
by: Loza, Andrew J., et al.
Published: (2025)