Cover Image

A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kulbach, Cedric, Cazzonelli, Lucas, Ngo, Hoang-Anh, Le-Nguyen, Minh-Huong, Bifet, Albert
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Online Learning of Decision Trees with Thompson Sampling
by: Chaouki, Ayman, et al.
Published: (2024)

CodeSCAN: ScreenCast ANalysis for Video Programming Tutorials
by: Naumann, Alexander, et al.
Published: (2024)

Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning
by: Sun, Yibin, et al.
Published: (2025)

Online Isolation Forest
by: Leveni, Filippo, et al.
Published: (2025)

Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO*
by: Chaouki, Ayman, et al.
Published: (2024)

Variable-Agnostic Causal Exploration for Reinforcement Learning
by: Nguyen, Minh Hoang, et al.
Published: (2024)

A data-driven approach to linking design features with manufacturing process data for sustainable product development
by: Li, Jiahang, et al.
Published: (2025)

Retrospective Feature Estimation for Continual Learning
by: Nguyen, Nghia D., et al.
Published: (2024)

Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning
by: Tran, Quyen, et al.
Published: (2024)

Reviving Error Correction in Modern Deep Time-Series Forecasting
by: Nguyen, Minh Hoang, et al.
Published: (2026)

Bridging Deep Learning and Integer Linear Programming: A Predictive-to-Prescriptive Framework for Supply Chain Analytics
by: Nghiep, Khai Banh, et al.
Published: (2026)

BELLA: Black box model Explanations by Local Linear Approximations
by: Radulovic, Nedeljko, et al.
Published: (2023)

VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation
by: Nguyen, Minh-Anh, et al.
Published: (2025)

Mixture of Experts Meets Prompt-Based Continual Learning
by: Le, Minh, et al.
Published: (2024)

ARES: Anomaly Recognition Model For Edge Streams
by: Mungari, Simone, et al.
Published: (2025)

Metacognitive Sensitivity for Test-Time Dynamic Model Selection
by: Trinh, Le Tuan Minh, et al.
Published: (2025)

SoK: Behind the Accuracy of Complex Human Activity Recognition Using Deep Learning
by: Nguyen, Duc-Anh, et al.
Published: (2024)

Rethinking Deep Alignment Through The Lens Of Incomplete Learning
by: Bach, Thong, et al.
Published: (2025)

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting
by: Nguyen, Huu Hiep, et al.
Published: (2026)

FIBER: A Differentially Private Optimizer with Filter-Aware Innovation Bias Correction
by: Dm, Duc, et al.
Published: (2026)

Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
by: Hoang, Tai, et al.
Published: (2025)

LEAF: A Robust Expert-Based Framework for Few-Shot Continual Event Detection
by: Dao, Bao-Ngoc, et al.
Published: (2025)

One-Prompt Strikes Back: Sparse Mixture of Experts for Prompt-based Continual Learning
by: Le, Minh, et al.
Published: (2025)

GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Imaging Studies
by: Nguyen, Minh, et al.
Published: (2022)

Quantum Re-Uploading for Calorimetry: Optimized Architectures with Extended Expressivity
by: Cassé, Léa, et al.
Published: (2024)

Policy Gradient with Adaptive Entropy Annealing for Continual Fine-Tuning
by: Zhang, Yaqian, et al.
Published: (2026)

Beyond Forgetting: Machine Unlearning Elicits Controllable Side Behaviors and Capabilities
by: Dang, Tien, et al.
Published: (2026)

High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
by: Ngo, Lam, et al.
Published: (2024)

N-EIoU-YOLOv9: A Signal-Aware Bounding Box Regression Loss for Lightweight Mobile Detection of Rice Leaf Diseases
by: Duc, Dung Ta Nguyen, et al.
Published: (2026)

Revisit Visual Prompt Tuning: The Expressiveness of Prompt Experts
by: Le, Minh, et al.
Published: (2025)

Q-ShiftDP: A Differentially Private Parameter-Shift Rule for Quantum Machine Learning
by: Ngo, Hoang M., et al.
Published: (2026)

Empowering Contrastive Federated Sequential Recommendation with LLMs
by: Nguyen, Thi Minh Chau, et al.
Published: (2026)

An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning
by: Tran, Quyen, et al.
Published: (2022)

A Framework for Controllable Multi-objective Learning with Annealed Stein Variational Hypernetworks
by: Nguyen, Minh-Duc, et al.
Published: (2025)

A Probabilistic Framework for Adapting to Changing and Recurring Concepts in Data Streams
by: Halstead, Ben, et al.
Published: (2024)

Hybrid Cross-domain Robust Reinforcement Learning
by: Van, Linh Le Pham, et al.
Published: (2025)

Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach
by: Elliker, Clément, et al.
Published: (2025)

High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces
by: Nguyen, Quoc-Anh Hoang, et al.
Published: (2024)

Efficient Bilevel Optimization for Meta Label Correction in Noisy Label Learning
by: Nguyen, Ba Hoang Anh, et al.
Published: (2026)

Real-Time Energy Pricing in New Zealand: An Evolving Stream Analysis
by: Sun, Yibin, et al.
Published: (2024)