Saved in:
| Main Author: | Keslaki, Ben |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.19734 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AYLA: Amplifying Gradient Sensitivity via Loss Transformation in Non-Convex Optimization
by: Keslaki, Ben
Published: (2025)
by: Keslaki, Ben
Published: (2025)
DRIFT: Drift-Resilient Invariant-Feature Transformer for DGA Detection
by: Lee, Chaeyoung, et al.
Published: (2026)
by: Lee, Chaeyoung, et al.
Published: (2026)
DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense
by: Guesmi, Amira, et al.
Published: (2025)
by: Guesmi, Amira, et al.
Published: (2025)
Prioritizing Informative Features and Examples for Deep Learning from Noisy Data
by: Park, Dongmin
Published: (2024)
by: Park, Dongmin
Published: (2024)
DRIFT-Net: A Spectral--Coupled Neural Operator for PDEs Learning
by: Li, Jiayi, et al.
Published: (2025)
by: Li, Jiayi, et al.
Published: (2025)
DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts
by: Sun, Guiquan, et al.
Published: (2026)
by: Sun, Guiquan, et al.
Published: (2026)
Feature Selection as Deep Sequential Generative Learning
by: Ying, Wangyang, et al.
Published: (2024)
by: Ying, Wangyang, et al.
Published: (2024)
Echoes Before Collapse: Deep Learning Detection of Flickering in Complex Systems
by: Maghsoodlo, Yazdan Babazadeh, et al.
Published: (2025)
by: Maghsoodlo, Yazdan Babazadeh, et al.
Published: (2025)
Two-Stage Feature Generation with Transformer and Reinforcement Learning
by: Gao, Wanfu, et al.
Published: (2025)
by: Gao, Wanfu, et al.
Published: (2025)
GOALPlace: Begin with the End in Mind
by: Agnesina, Anthony, et al.
Published: (2024)
by: Agnesina, Anthony, et al.
Published: (2024)
In-Context Deep Learning via Transformer Models
by: Wu, Weimin, et al.
Published: (2024)
by: Wu, Weimin, et al.
Published: (2024)
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation
by: Wu, Xinghao, et al.
Published: (2024)
by: Wu, Xinghao, et al.
Published: (2024)
Deep Feature Learning for Wireless Spectrum Data
by: Milosheski, Ljupcho, et al.
Published: (2023)
by: Milosheski, Ljupcho, et al.
Published: (2023)
Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems
by: Chen, Justin Chih-Yao, et al.
Published: (2026)
by: Chen, Justin Chih-Yao, et al.
Published: (2026)
Position-Agnostic Pre-Projection for Transformer Attention: Nonlinear Feature Construction and Content Skip Before Q/K/V
by: Shinde, Chirag
Published: (2026)
by: Shinde, Chirag
Published: (2026)
Machine Learning Algorithm for Noise Reduction and Disease-Causing Gene Feature Extraction in Gene Sequencing Data
by: Si, Weichen, et al.
Published: (2025)
by: Si, Weichen, et al.
Published: (2025)
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features
by: Helbling, Alec, et al.
Published: (2025)
by: Helbling, Alec, et al.
Published: (2025)
An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning
by: Toscano-Durán, Víctor, et al.
Published: (2024)
by: Toscano-Durán, Víctor, et al.
Published: (2024)
ElastiFormer: Learned Redundancy Reduction in Transformer via Self-Distillation
by: Liu, Junzhang, et al.
Published: (2024)
by: Liu, Junzhang, et al.
Published: (2024)
On the Reduction of Variance and Overestimation of Deep Q-Learning
by: Sabry, Mohammed, et al.
Published: (2019)
by: Sabry, Mohammed, et al.
Published: (2019)
Breaking Data Symmetry is Needed For Generalization in Feature Learning Kernels
by: Bernal, Marcel Tomàs, et al.
Published: (2026)
by: Bernal, Marcel Tomàs, et al.
Published: (2026)
Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features
by: Faisal, Aseer Al
Published: (2025)
by: Faisal, Aseer Al
Published: (2025)
Thinking as Emergence: How AI Begins to Think in Response, Resistance, and Relationship
by: Molchanova, Olena, et al.
Published: (2025)
by: Molchanova, Olena, et al.
Published: (2025)
FedSM: Robust Semantics-Guided Feature Mixup for Bias Reduction in Federated Learning with Long-Tail Data
by: Zhang, Jingrui, et al.
Published: (2025)
by: Zhang, Jingrui, et al.
Published: (2025)
Plastic Learning with Deep Fourier Features
by: Lewandowski, Alex, et al.
Published: (2024)
by: Lewandowski, Alex, et al.
Published: (2024)
Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression
by: Shahrokhi, Hooman, et al.
Published: (2025)
by: Shahrokhi, Hooman, et al.
Published: (2025)
Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming
by: Gong, Nanxu, et al.
Published: (2025)
by: Gong, Nanxu, et al.
Published: (2025)
Feature Interaction Aware Automated Data Representation Transformation
by: Azim, Ehtesamul, et al.
Published: (2023)
by: Azim, Ehtesamul, et al.
Published: (2023)
Deep Feature Embedding for Tabular Data
by: Wu, Yuqian, et al.
Published: (2024)
by: Wu, Yuqian, et al.
Published: (2024)
An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction
by: Liang, Yaxin, et al.
Published: (2024)
by: Liang, Yaxin, et al.
Published: (2024)
Deep Random Features for Scalable Interpolation of Spatiotemporal Data
by: Chen, Weibin, et al.
Published: (2024)
by: Chen, Weibin, et al.
Published: (2024)
Combining Hough Transform and Deep Learning Approaches to Reconstruct ECG Signals From Printouts
by: Krones, Felix, et al.
Published: (2024)
by: Krones, Felix, et al.
Published: (2024)
Imputation-free Learning of Tabular Data with Missing Values using Incremental Feature Partitions in Transformer
by: Samad, Manar D., et al.
Published: (2025)
by: Samad, Manar D., et al.
Published: (2025)
Deep Image Segmentation via Discriminant Feature Learning
by: Sztamborski, Adam Dawid, et al.
Published: (2026)
by: Sztamborski, Adam Dawid, et al.
Published: (2026)
Anime Popularity Prediction Before Huge Investments: a Multimodal Approach Using Deep Learning
by: Armenta-Segura, Jesús, et al.
Published: (2024)
by: Armenta-Segura, Jesús, et al.
Published: (2024)
Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness
by: Simson, Jan, et al.
Published: (2025)
by: Simson, Jan, et al.
Published: (2025)
Data-Aware Random Feature Kernel for Transformers
by: Farzam, Amirhossein, et al.
Published: (2026)
by: Farzam, Amirhossein, et al.
Published: (2026)
Dense Feature Learning via Linear Structure Preservation in Medical Data
by: Zhang, Yuanyun, et al.
Published: (2026)
by: Zhang, Yuanyun, et al.
Published: (2026)
BCE vs. CE in Deep Feature Learning
by: Li, Qiufu, et al.
Published: (2025)
by: Li, Qiufu, et al.
Published: (2025)
Generalized Attention Flow: Feature Attribution for Transformer Models via Maximum Flow
by: Azarkhalili, Behrooz, et al.
Published: (2025)
by: Azarkhalili, Behrooz, et al.
Published: (2025)
Similar Items
-
AYLA: Amplifying Gradient Sensitivity via Loss Transformation in Non-Convex Optimization
by: Keslaki, Ben
Published: (2025) -
DRIFT: Drift-Resilient Invariant-Feature Transformer for DGA Detection
by: Lee, Chaeyoung, et al.
Published: (2026) -
DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense
by: Guesmi, Amira, et al.
Published: (2025) -
Prioritizing Informative Features and Examples for Deep Learning from Noisy Data
by: Park, Dongmin
Published: (2024) -
DRIFT-Net: A Spectral--Coupled Neural Operator for PDEs Learning
by: Li, Jiayi, et al.
Published: (2025)