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Continual Learning

1895 directly classified papers

Papers per year

Papers

HOUDINI: Lifelong Learning as Program Synthesis NIPS 2018
Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN CVPR 2018
Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting NIPS 2018
Reinforced Continual Learning NIPS 2018
Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine Translation ACL 2018
Differentiable plasticity: training plastic neural networks with backpropagation ICML 2018
Progress & Compress: A scalable framework for continual learning ICML 2018
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning CVPR 2018
Curriculum Learning for Natural Answer Generation IJCAI 2018
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies NIPS 2018
Policy and Value Transfer in Lifelong Reinforcement Learning ICML 2018
State Abstractions for Lifelong Reinforcement Learning ICML 2018
Distributed Weight Consolidation: A Brain Segmentation Case Study NIPS 2018
Generalisation in humans and deep neural networks NIPS 2018
Lifelong Inverse Reinforcement Learning NIPS 2018
Fast Parametric Learning with Activation Memorization ICML 2018
Learning Portable Symbolic Representations IJCAI 2018
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks ICML 2018
Overcoming Catastrophic Forgetting with Hard Attention to the Task ICML 2018
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection COLING 2018
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels IJCAI 2018
Overcoming Catastrophic Forgetting by Incremental Moment Matching NIPS 2017
CORe50: a New Dataset and Benchmark for Continuous Object Recognition CORL 2017
From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion RSS 2017
Lifelong Learning in Costly Feature Spaces ALT 2017