4 papers · 1 filter
MANGO: Meta-Adaptive Network Gradient Optimization for Online Continual Learning
Ankita Awasthi, Marco Apolinario, Kaushik Roy
In Online Continual Learning (OCL), a neural network sequentially learns from a non-stationary data stream in a single-pass with access only to a limited memory replay buffer. This…
Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning
Arani Roy, Marco P. Apolinario, Shristi Das Biswas +1
Training deep neural networks (DNNs) with backpropagation (BP) achieves state-of-the-art accuracy but requires global error propagation and full parameterization, leading to substa…
LANCE: Low Rank Activation Compression for Efficient On-Device Continual Learning
Marco Paul E. Apolinario, Kaushik Roy
On-device learning is essential for personalization, privacy, and long-term adaptation in resource-constrained environments. Achieving this requires efficient learning, both fine-t…
CODE-CL: Conceptor-Based Gradient Projection for Deep Continual Learning
Marco Paul E. Apolinario, Sakshi Choudhary, Kaushik Roy
Continual learning (CL) - the ability to progressively acquire and integrate new concepts - is essential to intelligent systems to adapt to dynamic environments. However, deep neur…