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Continual Learning

1895 directly classified papers

Papers per year

Papers

Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima NIPS 2021
On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning NIPS 2021
Posterior Meta-Replay for Continual Learning NIPS 2021
AFEC: Active Forgetting of Negative Transfer in Continual Learning NIPS 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning NIPS 2021
Variational Continual Bayesian Meta-Learning NIPS 2021
Joint Inference for Neural Network Depth and Dropout Regularization NIPS 2021
Continual Learning via Local Module Composition NIPS 2021
Exploring Word Usage Change with Continuously Evolving Embeddings ACL 2021
Preserving Cross-Linguality of Pre-trained Models via Continual Learning IJCNLP 2021
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking IJCNLP 2021
Curriculum Design for Teaching via Demonstrations: Theory and Applications NIPS 2021
Continual Auxiliary Task Learning NIPS 2021
Autonomous Reinforcement Learning via Subgoal Curricula NIPS 2021
Continual World: A Robotic Benchmark For Continual Reinforcement Learning NIPS 2021
Continual Learning for Fake Audio Detection INTERSPEECH 2021
Towards Lifelong Learning of End-to-End ASR INTERSPEECH 2021
BooVAE: Boosting Approach for Continual Learning of VAE NIPS 2021
Robust Continuous On-Device Personalization for Automatic Speech Recognition INTERSPEECH 2021
SynthASR: Unlocking Synthetic Data for Speech Recognition INTERSPEECH 2021
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning NIPS 2021
Mind the Gap: Assessing Temporal Generalization in Neural Language Models NIPS 2021
Gated Linear Networks AAAI 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning NIPS 2021
Unsupervised Model Adaptation for Continual Semantic Segmentation AAAI 2021