DIRA: Dynamic Domain Incremental Regularised Adaptation
Fuente:
arXiv
Saved in:
| Main Authors: | Ghobrial, Abanoub, Zheng, Xuan, Hond, Darryl, Asgari, Hamid, Eder, Kerstin |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On Self-Supervised Dynamic Incremental Regularised Adaptation
by: Ghobrial, Abanoub, et al.
Published: (2023)
by: Ghobrial, Abanoub, et al.
Published: (2023)
Detecting Stimuli with Novel Temporal Patterns to Accelerate Functional Coverage Closure
by: Zheng, Xuan, et al.
Published: (2024)
by: Zheng, Xuan, et al.
Published: (2024)
From Pixels to CSI: Distilling Latent Dynamics For Efficient Wireless Resource Management
by: Chaaya, Charbel Bou, et al.
Published: (2025)
by: Chaaya, Charbel Bou, et al.
Published: (2025)
Semantic Communication and Control Co-Design for Multi-Objective Distinct Dynamics
by: Girgis, Abanoub M., et al.
Published: (2024)
by: Girgis, Abanoub M., et al.
Published: (2024)
Learning Latent Wireless Dynamics from Channel State Information
by: Chaaya, Charbel Bou, et al.
Published: (2024)
by: Chaaya, Charbel Bou, et al.
Published: (2024)
One-Class Domain Adaptation via Meta-Learning
by: Holly, Stephanie, et al.
Published: (2025)
by: Holly, Stephanie, et al.
Published: (2025)
Review of Machine Learning for Micro-Electronic Design Verification
by: Bennett, Christopher, et al.
Published: (2025)
by: Bennett, Christopher, et al.
Published: (2025)
Neural Collapse Dynamics: Depth, Activation, Regularisation, and Feature Norm Threshold
by: Rupa, Anamika Paul
Published: (2026)
by: Rupa, Anamika Paul
Published: (2026)
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare
by: Li, Chia-Hao, et al.
Published: (2024)
by: Li, Chia-Hao, et al.
Published: (2024)
Monte Carlo Functional Regularisation for Continual Learning
by: Hao, Pengcheng, et al.
Published: (2025)
by: Hao, Pengcheng, et al.
Published: (2025)
Approximate Equivariance via Projection-based Regularisation
by: Berndt, Torben, et al.
Published: (2026)
by: Berndt, Torben, et al.
Published: (2026)
Regularising NARX models with multi-task learning
by: Bee, Sarah, et al.
Published: (2025)
by: Bee, Sarah, et al.
Published: (2025)
Temporal Smoothness Regularisers for Neural Link Predictors
by: Dileo, Manuel, et al.
Published: (2023)
by: Dileo, Manuel, et al.
Published: (2023)
Enhancing Continuous Domain Adaptation with Multi-Path Transfer Curriculum
by: Liu, Hanbing, et al.
Published: (2024)
by: Liu, Hanbing, et al.
Published: (2024)
Partial Identifiability for Domain Adaptation
by: Kong, Lingjing, et al.
Published: (2023)
by: Kong, Lingjing, et al.
Published: (2023)
Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networks
by: Girgis, Abanoub M., et al.
Published: (2024)
by: Girgis, Abanoub M., et al.
Published: (2024)
Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning
by: Hosseinkhan-Boucher, Rémy, et al.
Published: (2025)
by: Hosseinkhan-Boucher, Rémy, et al.
Published: (2025)
Canonical Regularisation of Wide Feature-Learning Neural Networks
by: Whittle, George, et al.
Published: (2026)
by: Whittle, George, et al.
Published: (2026)
Function-Space Empirical Bayes Regularisation with Student's t Priors
by: Hao, Pengcheng, et al.
Published: (2026)
by: Hao, Pengcheng, et al.
Published: (2026)
Regularized Multi-output Gaussian Convolution Process with Domain Adaptation
by: Xinming, Wang, et al.
Published: (2024)
by: Xinming, Wang, et al.
Published: (2024)
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
by: Jeeveswaran, Kishaan, et al.
Published: (2024)
by: Jeeveswaran, Kishaan, et al.
Published: (2024)
TASER: Task-Aware Stein Regularisation for Geometry-Driven Robustness
by: Kozyra, Michał, et al.
Published: (2026)
by: Kozyra, Michał, et al.
Published: (2026)
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines
by: Milsom, Edward, et al.
Published: (2024)
by: Milsom, Edward, et al.
Published: (2024)
Sobolev Space Regularised Pre Density Models
by: Kozdoba, Mark, et al.
Published: (2023)
by: Kozdoba, Mark, et al.
Published: (2023)
DATTA: Domain Diversity Aware Test-Time Adaptation for Dynamic Domain Shift Data Streams
by: Ye, Chuyang, et al.
Published: (2024)
by: Ye, Chuyang, et al.
Published: (2024)
DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving
by: Zheng, Xuran, et al.
Published: (2025)
by: Zheng, Xuran, et al.
Published: (2025)
We Need a More Robust Classifier: Dual Causal Learning Empowers Domain-Incremental Time Series Classification
by: Liu, Zhipeng, et al.
Published: (2026)
by: Liu, Zhipeng, et al.
Published: (2026)
An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
by: Kim, Taeyoung, et al.
Published: (2023)
by: Kim, Taeyoung, et al.
Published: (2023)
A Novel Approach to Regularising 1NN classifier for Improved Generalization
by: Challa, Aditya, et al.
Published: (2024)
by: Challa, Aditya, et al.
Published: (2024)
A Computable Measure of Suboptimality for Entropy-Regularised Variational Objectives
by: Chazal, Clémentine, et al.
Published: (2025)
by: Chazal, Clémentine, et al.
Published: (2025)
Reinforced Domain Selection for Continuous Domain Adaptation
by: Liu, Hanbing, et al.
Published: (2025)
by: Liu, Hanbing, et al.
Published: (2025)
Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
by: Wu, Runqing, et al.
Published: (2025)
by: Wu, Runqing, et al.
Published: (2025)
Misam: Using ML in Dataflow Selection of Sparse-Sparse Matrix Multiplication
by: Yadav, Sanjali, et al.
Published: (2024)
by: Yadav, Sanjali, et al.
Published: (2024)
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods
by: Follain, Bertille, et al.
Published: (2024)
by: Follain, Bertille, et al.
Published: (2024)
Proxy Methods for Domain Adaptation
by: Tsai, Katherine, et al.
Published: (2024)
by: Tsai, Katherine, et al.
Published: (2024)
Consistency Regularised Gradient Flows for Inverse Problems
by: Spagnoletti, Alessio, et al.
Published: (2026)
by: Spagnoletti, Alessio, et al.
Published: (2026)
Generalizing to New Dynamical Systems via Frequency Domain Adaptation
by: Qin, Tiexin, et al.
Published: (2025)
by: Qin, Tiexin, et al.
Published: (2025)
Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions
by: Furqon, Muhammad Tanzil, et al.
Published: (2024)
by: Furqon, Muhammad Tanzil, et al.
Published: (2024)
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
by: Lee, Daehee, et al.
Published: (2024)
by: Lee, Daehee, et al.
Published: (2024)
Enhanced Denoising and Convergent Regularisation Using Tweedie Scaling
by: Khelifa, Naïl, et al.
Published: (2025)
by: Khelifa, Naïl, et al.
Published: (2025)
Similar Items
-
On Self-Supervised Dynamic Incremental Regularised Adaptation
by: Ghobrial, Abanoub, et al.
Published: (2023) -
Detecting Stimuli with Novel Temporal Patterns to Accelerate Functional Coverage Closure
by: Zheng, Xuan, et al.
Published: (2024) -
From Pixels to CSI: Distilling Latent Dynamics For Efficient Wireless Resource Management
by: Chaaya, Charbel Bou, et al.
Published: (2025) -
Semantic Communication and Control Co-Design for Multi-Objective Distinct Dynamics
by: Girgis, Abanoub M., et al.
Published: (2024) -
Learning Latent Wireless Dynamics from Channel State Information
by: Chaaya, Charbel Bou, et al.
Published: (2024)