Summary of Position: Bayesian Deep Learning Is Needed in the Age Of Large-scale Ai, by Theodore Papamarkou et al.
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AIby Theodore Papamarkou, Maria…
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AIby Theodore Papamarkou, Maria…
Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replayby Mohammad RostamiFirst submitted to arxiv…
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognitionby Wei Wei, Tom De Schepper,…
Step-size Optimization for Continual Learningby Thomas Degris, Khurram Javed, Arsalan Sharifnassab, Yuxin Liu, Richard SuttonFirst…
etuner: A Redundancy-Aware Framework for Efficient Continual Learning Application on Edge Devicesby Sheng Li, Geng…
Augmenting Replay in World Models for Continual Reinforcement Learningby Luke Yang, Levin Kuhlmann, Gideon KowadloFirst…
Continual Learning with Pre-Trained Models: A Surveyby Da-Wei Zhou, Hai-Long Sun, Jingyi Ning, Han-Jia Ye,…
Sample Weight Estimation Using Meta-Updates for Online Continual Learningby Hamed Hemati, Damian BorthFirst submitted to…
Topology-aware Embedding Memory for Continual Learning on Expanding Networksby Xikun Zhang, Dongjin Song, Yixin Chen,…
Locality Sensitive Sparse Encoding for Learning World Models Onlineby Zichen Liu, Chao Du, Wee Sun…