Results 41 to 50 of about 28,537 (309)

Block Contextual MDPs for Continual Learning [PDF]

, 2021
Shagun Sodhani, Franziska Meier, Joëlle Pineau, Amy Zhang   +3 more
openalex   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Energy-Efficient and Timeliness-Aware Continual Learning Management System

Energies, 2023
Continual learning has recently become a primary paradigm for deep neural network models in modern artificial intelligence services, where streaming data patterns frequently and irregularly change over time in dynamic environments.
Dong-Ki Kang
doaj   +1 more source

Flattening Sharpness for Dynamic Gradient Projection Memory Benefits\n Continual Learning [PDF]

, 2021
Danruo Deng, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng‐Ann Heng   +4 more
openalex   +1 more source

Echinoderm‐Inspired Autonomy for Soft‐Legged Robots

Advanced Robotics Research, EarlyView.
Inspired by echinoderms, a modular soft robot achieves autonomous phototaxis without a central controller or explicit communication. Each limb independently adapts its actuation timing through local sensing and short‐term memory. Coordination emerges purely from physical interactions, demonstrating resilience to changes in morphology, environment, and ...
Harmannus A. H. Schomaker, Jelle de Vries, Johannes T. B. overvelde   +2 more
wiley   +1 more source

PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation [PDF]

, 2023
Yilun Liu, Ruihong Qiu, Yanran Tang, Hongzhi Yin, Zi Huang   +4 more
openalex   +1 more source

Eigenvector Continuation with Subspace Learning

Physical Review Letters, 2018
Version to appear in Physical Review Letters, 4 + 6 pages (main + supplemental materials), 1 + 6 figures (main + supplemental materials)
Frame, Dillon, He, Rongzheng, Ipsen, Ilse, Lee, Daniel, Lee, Dean, Rrapaj, Ermal   +5 more
openaire   +4 more sources

Combination Immunotherapy as a Promising Strategy to Overcome Immunotherapy Resistance: From Emergence to Next‐Generation Approaches

Advanced Science, EarlyView.
This review examines emerging combination immunotherapy strategies tailored to distinct tumor microenvironments and highlights next‐generation biomarkers that guide response prediction and treatment personalization. It integrates lessons from unsuccessful trials, addresses toxicity challenges, and outlines approaches for early biomarker discovery and ...
Asmita Pandey, Sudhir Kumar Rai, Li Ma, Lauren Higa, Vedbar Khadka, Hua Yang, Youping Deng   +6 more
wiley   +1 more source

Variance-Covariance Regularization Improves Continual Learning

IEEE Access
In this work, we explore the benefits of Variance-Covariance Regularization in Continual Learning (CL). Neural networks suffer from abrupt performance loss when updated with additional data.
Piotr Hondra, Daniel Marczak, Kamil Deja
doaj   +1 more source

Residual Continual Learning

Proceedings of the AAAI Conference on Artificial Intelligence, 2020
We propose a novel continual learning method called Residual Continual Learning (ResCL). Our method can prevent the catastrophic forgetting phenomenon in sequential learning of multiple tasks, without any source task information except the original network.
Lee, Janghyeon, Joo, Donggyu, Hong, Hyeong Gwon, Kim, Junmo   +3 more
openaire   +3 more sources