Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Palit, Sanchar, Banerjee, Biplab, Chaudhuri, Subhasis |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Local-Global Context-Aware and Structure-Preserving Image Super-Resolution
by: Palit, Sanchar, et al.
Published: (2025)
by: Palit, Sanchar, et al.
Published: (2025)
A Fusion of Variational Distribution Priors and Saliency Map Replay for Continual 3D Reconstruction
by: Palit, Sanchar, et al.
Published: (2023)
by: Palit, Sanchar, et al.
Published: (2023)
ArcGate: Adaptive Arctangent Gated Activation
by: Bhattacharya, Avik, et al.
Published: (2026)
by: Bhattacharya, Avik, et al.
Published: (2026)
CLIPoint3D: Language-Grounded Few-Shot Unsupervised 3D Point Cloud Domain Adaptation
by: Singha, Mainak, et al.
Published: (2026)
by: Singha, Mainak, et al.
Published: (2026)
Hardware-Friendly Diffusion Models with Fixed-Size Reusable Structures for On-Device Image Generation
by: Palit, Sanchar, et al.
Published: (2024)
by: Palit, Sanchar, et al.
Published: (2024)
FOCUS: Bridging Fine-Grained Recognition and Open-World Discovery across Domains
by: Rathore, Vaibhav, et al.
Published: (2026)
by: Rathore, Vaibhav, et al.
Published: (2026)
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation
by: Paul, Richard D., et al.
Published: (2024)
by: Paul, Richard D., et al.
Published: (2024)
Learning Conditional Invariances through Non-Commutativity
by: Chaudhuri, Abhra, et al.
Published: (2024)
by: Chaudhuri, Abhra, et al.
Published: (2024)
Parameter Efficient Continual Learning with Dynamic Low-Rank Adaptation
by: Bhat, Prashant Shivaram, et al.
Published: (2025)
by: Bhat, Prashant Shivaram, et al.
Published: (2025)
Incremental Online Learning of Randomized Neural Network with Forward Regularization
by: Wang, Junda, et al.
Published: (2024)
by: Wang, Junda, et al.
Published: (2024)
CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation
by: Muralidhara, Shishir, et al.
Published: (2025)
by: Muralidhara, Shishir, et al.
Published: (2025)
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
by: Pham, Cuong, et al.
Published: (2024)
by: Pham, Cuong, et al.
Published: (2024)
Revisiting Neural Networks for Continual Learning: An Architectural Perspective
by: Lu, Aojun, et al.
Published: (2024)
by: Lu, Aojun, et al.
Published: (2024)
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
by: Zhao, Linglan, et al.
Published: (2024)
by: Zhao, Linglan, et al.
Published: (2024)
Forget Less, Retain More: A Lightweight Regularizer for Rehearsal-Based Continual Learning
by: Alssum, Lama, et al.
Published: (2025)
by: Alssum, Lama, et al.
Published: (2025)
Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation
by: Ly, Son Thai, et al.
Published: (2024)
by: Ly, Son Thai, et al.
Published: (2024)
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks
by: Zhang, Haimin, et al.
Published: (2024)
by: Zhang, Haimin, et al.
Published: (2024)
Improved Regularization and Robustness for Fine-tuning in Neural Networks
by: Li, Dongyue, et al.
Published: (2021)
by: Li, Dongyue, et al.
Published: (2021)
Detecting Car Speed using Object Detection and Depth Estimation: A Deep Learning Framework
by: Dasgupta, Subhasis, et al.
Published: (2024)
by: Dasgupta, Subhasis, et al.
Published: (2024)
Adversarial Examples Detection with Bayesian Neural Network
by: Li, Yao, et al.
Published: (2021)
by: Li, Yao, et al.
Published: (2021)
Meta-Learned Adaptive Optimization for Robust Human Mesh Recovery with Uncertainty-Aware Parameter Updates
by: Mandal, Shaurjya, et al.
Published: (2026)
by: Mandal, Shaurjya, et al.
Published: (2026)
Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update
by: Li, Qing, et al.
Published: (2025)
by: Li, Qing, et al.
Published: (2025)
Bayesian Multi-Scale Neural Network for Crowd Counting
by: Sagar, Abhinav
Published: (2020)
by: Sagar, Abhinav
Published: (2020)
MultiScale Probability Map guided Index Pooling with Attention-based learning for Road and Building Segmentation
by: Bose, Shirsha, et al.
Published: (2023)
by: Bose, Shirsha, et al.
Published: (2023)
Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networks
by: Zou, Jinping, et al.
Published: (2024)
by: Zou, Jinping, et al.
Published: (2024)
Information Geometry of Evolution of Neural Network Parameters While Training
by: Thiruthummal, Abhiram Anand, et al.
Published: (2024)
by: Thiruthummal, Abhiram Anand, et al.
Published: (2024)
Enhancing Accuracy and Parameter-Efficiency of Neural Representations for Network Parameterization
by: Choi, Hongjun, et al.
Published: (2024)
by: Choi, Hongjun, et al.
Published: (2024)
Bridging GANs and Bayesian Neural Networks via Partial Stochasticity
by: Filippone, Maurizio, et al.
Published: (2025)
by: Filippone, Maurizio, et al.
Published: (2025)
Logit Disagreement: OoD Detection with Bayesian Neural Networks
by: Raina, Kevin
Published: (2025)
by: Raina, Kevin
Published: (2025)
Can Bayesian Neural Networks Explicitly Model Input Uncertainty?
by: Valdenegro-Toro, Matias, et al.
Published: (2025)
by: Valdenegro-Toro, Matias, et al.
Published: (2025)
Automatic Construction of Pattern Classifiers Capable of Continuous Incremental Learning and Unlearning Tasks Based on Compact-Sized Probabilistic Neural Network
by: Hoya, Tetsuya, et al.
Published: (2025)
by: Hoya, Tetsuya, et al.
Published: (2025)
Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinity and Auxiliary Regularization
by: Ding, Xin, et al.
Published: (2025)
by: Ding, Xin, et al.
Published: (2025)
How Weight Resampling and Optimizers Shape the Dynamics of Continual Learning and Forgetting in Neural Networks
by: Frati, Lapo, et al.
Published: (2025)
by: Frati, Lapo, et al.
Published: (2025)
Measuring Déjà vu Memorization Efficiently
by: Kokhlikyan, Narine, et al.
Published: (2025)
by: Kokhlikyan, Narine, et al.
Published: (2025)
Explaining Bayesian Neural Networks
by: Bykov, Kirill, et al.
Published: (2021)
by: Bykov, Kirill, et al.
Published: (2021)
DeNetDM: Debiasing by Network Depth Modulation
by: Sreelatha, Silpa Vadakkeeveetil, et al.
Published: (2024)
by: Sreelatha, Silpa Vadakkeeveetil, et al.
Published: (2024)
Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection
by: Bhatt, Gaurav, et al.
Published: (2024)
by: Bhatt, Gaurav, et al.
Published: (2024)
KAN-CL: Per-Knot Importance Regularization for Continual Learning with Kolmogorov-Arnold Networks
by: Cheon, Minjong
Published: (2026)
by: Cheon, Minjong
Published: (2026)
Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling
by: Faye, Elhadji C., et al.
Published: (2024)
by: Faye, Elhadji C., et al.
Published: (2024)
Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation
by: Reza, Md Kaykobad, et al.
Published: (2023)
by: Reza, Md Kaykobad, et al.
Published: (2023)
Similar Items
-
Local-Global Context-Aware and Structure-Preserving Image Super-Resolution
by: Palit, Sanchar, et al.
Published: (2025) -
A Fusion of Variational Distribution Priors and Saliency Map Replay for Continual 3D Reconstruction
by: Palit, Sanchar, et al.
Published: (2023) -
ArcGate: Adaptive Arctangent Gated Activation
by: Bhattacharya, Avik, et al.
Published: (2026) -
CLIPoint3D: Language-Grounded Few-Shot Unsupervised 3D Point Cloud Domain Adaptation
by: Singha, Mainak, et al.
Published: (2026) -
Hardware-Friendly Diffusion Models with Fixed-Size Reusable Structures for On-Device Image Generation
by: Palit, Sanchar, et al.
Published: (2024)