Copertina

MANGO: Meta-Adaptive Network Gradient Optimization for Online Continual Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Awasthi, Ankita, Apolinario, Marco, Roy, Kaushik
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LANCE: Low Rank Activation Compression for Efficient On-Device Continual Learning
di: Apolinario, Marco Paul E., et al.
Pubblicazione: (2025)

CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning
di: Apolinario, Marco Paul E., et al.
Pubblicazione: (2024)

LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization
di: Apolinario, Marco Paul E., et al.
Pubblicazione: (2024)

TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks
di: Apolinario, Marco Paul E., et al.
Pubblicazione: (2025)

GradientSpace: Unsupervised Data Clustering for Improved Instruction Tuning
di: Sridharan, Shrihari, et al.
Pubblicazione: (2025)

S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
di: Apolinario, Marco Paul E., et al.
Pubblicazione: (2023)

Distribution-aware Online Continual Learning for Urban Spatio-Temporal Forecasting
di: Wang, Chengxin, et al.
Pubblicazione: (2024)

Adaptive Online Learning with LSTM Networks for Energy Price Prediction
di: Salihoglu, Salih, et al.
Pubblicazione: (2025)

Sequential Policy Gradient for Adaptive Hyperparameter Optimization
di: Li, Zheng, et al.
Pubblicazione: (2025)

Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks
di: Li, Jinhao, et al.
Pubblicazione: (2026)

Natural Gradient Descent for Online Continual Learning
di: Khawand, Joe, et al.
Pubblicazione: (2026)

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

MATE-Pred: Multimodal Attention-based TCR-Epitope interaction Predictor
di: Goffinet, Etienne, et al.
Pubblicazione: (2023)

Leveraging GANs For Active Appearance Models Optimized Model Fitting
di: Awasthi, Anurag
Pubblicazione: (2025)

Revisiting the Initial Steps in Adaptive Gradient Descent Optimization
di: Abuduweili, Abulikemu, et al.
Pubblicazione: (2024)

Deep Unlearning: Fast and Efficient Gradient-free Approach to Class Forgetting
di: Kodge, Sangamesh, et al.
Pubblicazione: (2023)

GradMetaNet: An Equivariant Architecture for Learning on Gradients
di: Gelberg, Yoav, et al.
Pubblicazione: (2025)

Meta-Learning Adaptive Loss Functions
di: Raymond, Christian, et al.
Pubblicazione: (2023)

Gradient-Free Continual Learning in Spiking Neural Networks via Inter-Spike Interval Regularization
di: Roy, Samrendra, et al.
Pubblicazione: (2026)

Continuous-Time Analysis of Adaptive Optimization and Normalization
di: Gould, Rhys, et al.
Pubblicazione: (2024)

A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning
di: Feng, Xidong, et al.
Pubblicazione: (2021)

ROAD: Adaptive Data Mixing for Offline-to-Online Reinforcement Learning via Bi-Level Optimization
di: Yang, Letian, et al.
Pubblicazione: (2026)

Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers
di: Yan, Kai, et al.
Pubblicazione: (2024)

Gradient Correction in Federated Learning with Adaptive Optimization
di: Chen, Evan, et al.
Pubblicazione: (2025)

Adaptively Learning to Select-Rank in Online Platforms
di: Wang, Jingyuan, et al.
Pubblicazione: (2024)

Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent
di: Hoppmann, Björn, et al.
Pubblicazione: (2026)

Elastic Multi-Gradient Descent for Parallel Continual Learning
di: Lyu, Fan, et al.
Pubblicazione: (2024)

An Effective Dynamic Gradient Calibration Method for Continual Learning
di: Lin, Weichen, et al.
Pubblicazione: (2024)

MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices
di: Li, Sijia, et al.
Pubblicazione: (2025)

Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
di: Zhang, Zhenshuo, et al.
Pubblicazione: (2025)

Meta-Learning Objectives for Preference Optimization
di: Alfano, Carlo, et al.
Pubblicazione: (2024)

TopoPrune: Robust Data Pruning via Unified Latent Space Topology
di: Roy, Arjun, et al.
Pubblicazione: (2026)

Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective
di: Wang, Quanziang, et al.
Pubblicazione: (2024)

On the Convergence of Continual Learning with Adaptive Methods
di: Han, Seungyub, et al.
Pubblicazione: (2024)

Dynamic Meta-Learning for Adaptive XGBoost-Neural Ensembles
di: Sedek, Arthur
Pubblicazione: (2025)

Enhancing Deep Learning with Optimized Gradient Descent: Bridging Numerical Methods and Neural Network Training
di: Ma, Yuhan, et al.
Pubblicazione: (2024)

LogicTree: Structured Proof Exploration for Coherent and Rigorous Logical Reasoning with Large Language Models
di: He, Kang, et al.
Pubblicazione: (2025)

Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal
di: Sedova, Anastasiia, et al.
Pubblicazione: (2023)

Mitigating Gradient Overlap in Deep Residual Networks with Gradient Normalization for Improved Non-Convex Optimization
di: Yun, Juyoung
Pubblicazione: (2024)

Fisher-Orthogonal Projected Natural Gradient Descent for Continual Learning
di: Garg, Ishir, et al.
Pubblicazione: (2026)