Cover Image

Regularizing Neural Network Training via Identity-wise Discriminative Feature Suppression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chapman, Avraham, Liu, Lingqiao
Format:	Preprint
Published:	2022
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization
by: Chapman, Avraham, et al.
Published: (2024)

On Diversity in Discriminative Neural Networks
by: Oubaha, Brahim, et al.
Published: (2024)

Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
by: Yamaguchi, Shin'ya, et al.
Published: (2024)

Accelerating Diffusion Transformers with Token-wise Feature Caching
by: Zou, Chang, et al.
Published: (2024)

Rethinking Token-wise Feature Caching: Accelerating Diffusion Transformers with Dual Feature Caching
by: Zou, Chang, et al.
Published: (2024)

Rethinking Training Dynamics in Scale-wise Autoregressive Generation
by: Zhou, Gengze, et al.
Published: (2025)

Learning Robust Convolutional Neural Networks with Relevant Feature Focusing via Explanations
by: Adachi, Kazuki, et al.
Published: (2022)

General Cyclical Training of Neural Networks
by: Smith, Leslie N.
Published: (2022)

Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion
by: Li, Jiawei, et al.
Published: (2024)

Dynamic Dropout: Leveraging Conway's Game of Life for Neural Networks Regularization
by: Freire-Obregón, David, et al.
Published: (2025)

Towards On-Policy SFT: Distribution Discriminant Theory and its Applications in LLM Training
by: Zhang, Miaosen, et al.
Published: (2026)

Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression
by: Bareeva, Dilyara, et al.
Published: (2024)

Training-Free Restoration of Pruned Neural Networks
by: Lee, Keonho, et al.
Published: (2025)

CSA-Net: Channel-wise Spatially Autocorrelated Attention Networks
by: Nikzad, Nick, et al.
Published: (2024)

The Loupe: A Plug-and-Play Attention Module for Amplifying Discriminative Features in Vision Transformers
by: Sengodan, Naren
Published: (2025)

PerNodeDrop: A Method Balancing Specialized Subnets and Regularization in Deep Neural Networks
by: Omathil, Gelesh G, et al.
Published: (2025)

Training Neural Networks from Scratch with Parallel Low-Rank Adapters
by: Huh, Minyoung, et al.
Published: (2024)

Close-up-GS: Enhancing Close-Up View Synthesis in 3D Gaussian Splatting with Progressive Self-Training
by: Xia, Jiatong, et al.
Published: (2025)

Drone Detection using Deep Neural Networks Trained on Pure Synthetic Data
by: Wisniewski, Mariusz, et al.
Published: (2024)

Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression
by: Qu, Xiaoyi, et al.
Published: (2025)

Quanvolutional Neural Networks for Pneumonia Detection: An Efficient Quantum-Assisted Feature Extraction Paradigm
by: Tanbhir, Gazi, et al.
Published: (2025)

Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models
by: Xia, Shi-Yu, et al.
Published: (2024)

PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization
by: Lahiany, Assaf, et al.
Published: (2025)

Face Identity Unlearning for Retrieval via Embedding Dispersion
by: Zakharov, Mikhail
Published: (2025)

Training Frozen Feature Pyramid DINOv2 for Eyelid Measurements with Infinite Encoding and Orthogonal Regularization
by: Chen, Chun-Hung
Published: (2025)

Efficient Training with Denoised Neural Weights
by: Gong, Yifan, et al.
Published: (2024)

Stress-Aware Resilient Neural Training
by: Shakarami, Ashkan, et al.
Published: (2025)

Fake it till You Make it: Reward Modeling as Discriminative Prediction
by: Liu, Runtao, et al.
Published: (2025)

Controllable Lung Nodule Synthesis via Histogram-Regularized Latent Diffusion Models
by: Kannan, Arunkumar, et al.
Published: (2026)

Unsupervised Active Learning via Natural Feature Progressive Framework
by: Liu, Yuxi, et al.
Published: (2025)

Convolutional Channel-wise Competitive Learning for the Forward-Forward Algorithm
by: Papachristodoulou, Andreas, et al.
Published: (2023)

Class-Discriminative Attention Maps for Vision Transformers
by: Brocki, Lennart, et al.
Published: (2023)

Masked Face Recognition with Generative-to-Discriminative Representations
by: Ge, Shiming, et al.
Published: (2024)

From Radiologist Report to Image Label: Assessing Latent Dirichlet Allocation in Training Neural Networks for Orthopedic Radiograph Classification
by: Olczak, Jakub, et al.
Published: (2024)

Balancing Accuracy and Training Time in Federated Learning for Violence Detection in Surveillance Videos: A Study of Neural Network Architectures
by: Quentin, Pajon, et al.
Published: (2023)

Efficient and Robust Quantization-aware Training via Adaptive Coreset Selection
by: Huang, Xijie, et al.
Published: (2023)

Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets
by: Iordache, Adrian, et al.
Published: (2024)

Denoising Fisher Training For Neural Implicit Samplers
by: Luo, Weijian, et al.
Published: (2024)

Gradient-based Fine-Tuning through Pre-trained Model Regularization
by: Liu, Xuanbo, et al.
Published: (2025)

SONA: Learning Conditional, Unconditional, and Mismatching-Aware Discriminator
by: Takida, Yuhta, et al.
Published: (2025)