Image de couverture de livre

Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ngnawe, Jonas, Njifon, Marianne Abemgnigni, Heek, Jonathan, Dauphin, Yann
Format:	Preprint
Publié:	2023
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
par: Ngnawé, Jonas, et autres
Publié: (2024)

Block Graph Neural Networks for tumor heterogeneity prediction
par: Njifon, Marianne Abémgnigni, et autres
Publié: (2025)

Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Epsilon-Scheduling
par: Ngnawé, Jonas, et autres
Publié: (2025)

A Layer Selection Approach to Test Time Adaptation
par: Sahoo, Sabyasachi, et autres
Publié: (2024)

Variance-Covariance Regularization Improves Representation Learning
par: Zhu, Jiachen, et autres
Publié: (2023)

Multistep Distillation of Diffusion Models via Moment Matching
par: Salimans, Tim, et autres
Publié: (2024)

Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts
par: Crabbé, Jonathan, et autres
Publié: (2023)

FastDINOv2: Frequency Based Curriculum Learning Improves Robustness and Training Speed
par: Zhang, Jiaqi, et autres
Publié: (2025)

Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness
par: Fakorede, Olukorede, et autres
Publié: (2024)

TRACER: Persistent Regularization for Robust Multimodal Finetuning
par: Asadollahzadeh, Hesam, et autres
Publié: (2026)

Are Bias Mitigation Techniques for Deep Learning Effective?
par: Shrestha, Robik, et autres
Publié: (2021)

SemiOccam: A Robust Semi-Supervised Image Recognition Network Using Sparse Labels
par: Yann, Rui, et autres
Publié: (2025)

Improving GFlowNets for Text-to-Image Diffusion Alignment
par: Zhang, Dinghuai, et autres
Publié: (2024)

DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation
par: Kavak, Emre, et autres
Publié: (2025)

Identifying Bias in Deep Neural Networks Using Image Transforms
par: Erukude, Sai Teja, et autres
Publié: (2024)

SugarcaneNet: An Optimized Ensemble of LASSO-Regularized Pre-trained Models for Accurate Disease Classification
par: Talukder, Md. Simul Hasan, et autres
Publié: (2024)

Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods
par: Novello, Paul, et autres
Publié: (2024)

ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback
par: Li, Ming, et autres
Publié: (2024)

Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization
par: Nguyen, Dang, et autres
Publié: (2024)

Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
par: Yamaguchi, Shin'ya, et autres
Publié: (2024)

Improving Deep Regression with Tightness
par: Zhang, Shihao, et autres
Publié: (2025)

Promoting Shape Bias in CNNs: Frequency-Based and Contrastive Regularization for Corruption Robustness
par: Ranabhat, Robin Narsingh, et autres
Publié: (2025)

Multistep Consistency Models
par: Heek, Jonathan, et autres
Publié: (2024)

Model Integrity when Unlearning with T2I Diffusion Models
par: Schioppa, Andrea, et autres
Publié: (2024)

ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
par: Zhang, Chenshuang, et autres
Publié: (2024)

Provably Robust Conformal Prediction with Improved Efficiency
par: Yan, Ge, et autres
Publié: (2024)

MelNet: A Real-Time Deep Learning Algorithm for Object Detection
par: Azadvatan, Yashar, et autres
Publié: (2024)

Scaling Up Deep Clustering Methods Beyond ImageNet-1K
par: Adaloglou, Nikolas, et autres
Publié: (2024)

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
par: To, Minh Nguyen Nhat, et autres
Publié: (2025)

PerNodeDrop: A Method Balancing Specialized Subnets and Regularization in Deep Neural Networks
par: Omathil, Gelesh G, et autres
Publié: (2025)

A Short Note on Evaluating RepNet for Temporal Repetition Counting in Videos
par: Dwibedi, Debidatta, et autres
Publié: (2024)

Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where
par: Chin, Zhi-Yi, et autres
Publié: (2023)

Reimplementation of Learning to Reweight Examples for Robust Deep Learning
par: Patil, Parth, et autres
Publié: (2024)

EntProp: High Entropy Propagation for Improving Accuracy and Robustness
par: Enomoto, Shohei
Publié: (2024)

Improved Diffusion-based Generative Model with Better Adversarial Robustness
par: Wang, Zekun, et autres
Publié: (2025)

Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations
par: Brogan, Joel, et autres
Publié: (2024)

Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion
par: Hoogeboom, Emiel, et autres
Publié: (2024)

Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
par: Guimard, Quentin, et autres
Publié: (2025)

A Deep U-Net Framework for Flood Hazard Mapping Using Hydraulic Simulations of the Wupper Catchment
par: Lammers, Christian, et autres
Publié: (2026)

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
par: Balestriero, Randall, et autres
Publié: (2025)