continual learning

In- or out-of-distribution detection via dual divergence estimation UAI 2023 Instance and Category Supervision are Alternate Learners for Continual Learning ICCV 2023 Introducing Language Guidance in Prompt-based Continual Learning ICCV 2023 Is Forgetting Less a Good Inductive Bias for Forward Transfer? ICLR 2023 Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference AAAI 2023 Label-Efficient Online Continual Object Detection in Streaming Video ICCV 2023 Label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds ICCV 2023 Learnability and Algorithm for Continual Learning ICML 2023 Learn and Consolidate: Continual Adaptation for Zero-Shot and Multilingual Neural Machine Translation EMNLP 2023 Learn from Yesterday: A Semi-supervised Continual Learning Method for Supervision-Limited Text-to-SQL Task Streams AAAI 2023 Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks ICML 2023 Learning Fast and Slow for Online Time Series Forecasting ICLR 2023 Learning to Learn: How to Continuously Teach Humans and Machines ICCV 2023 Learning to Modulate pre-trained Models in RL NeurIPS 2023 Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation CVPR 2023 Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting ICLR 2023 Leveraging Old Knowledge to Continually Learn New Classes in Medical Images AAAI 2023 Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs AAAI 2023 Lifelong Person Re-identification via Knowledge Refreshing and Consolidation AAAI 2023 Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation EMNLP 2023 Lifelong Variational Autoencoder via Online Adversarial Expansion Strategy AAAI 2023 Loss Decoupling for Task-Agnostic Continual Learning NeurIPS 2023 Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning ICCV 2023 Memory-Based Dual Gaussian Processes for Sequential Learning ICML 2023 Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning JMLR 2023