The group will be meeting nearly every Friday during 2019 from 1:30-2:30PM EST in GHC 6721.
- Continual Learning in Neural Networks
- Continual Lifelong Learning with Neural Networks: A Review
- Lifelong Machine Learning
- What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated
- Pseudo-recurrent Connectionist Networks: An Approach to the 'Sensitivity-Stability' Dilemma
- Hippocampal and neocortical contributions to memory: Advances in the complementary learning systems framework
- Short-term plasticity as cause–effect hypothesis testing in distal reward learning
- A bio-inspired incremental learning architecture for applied perceptual problems
- Universal Value Function Approximators
- Hindsight Experience Replay
- DHER: Hindsight Experience Replay for Dynamic Goals
- THE KANERVA MACHINE:A GENERATIVE DISTRIBUTED MEMORY
- Evolutionary Architecture Search For Deep Multitask Networks
- Latent Multi-task Architecture Learning
- Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning
- Catastrophic Forgetting, Rehearsal, and Pseudorehearsal
- Continual Learning Through Synaptic Intelligence
- Overcoming catastrophic forgetting in neural networks
- Neurogenesis Deep Learning
- Reinforced Continual Learning
- Continual Reinforcement Learning with Complex Synapses
- Lifelong Learning with Dynamically Expandable Networks
- Continual Learning with Deep Generative Replay
- Gradient Episodic Memory for Continual Learning
- Learning without Forgetting
- An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
- Less-forgetting Learning in Deep Neural Networks
- An Empirical Study of Example Forgetting during Deep Neural Network Learning
- Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals
- Curiosity-driven Exploration by Self-supervised Prediction