Summary of Domain Adaptation with Cauchy-schwarz Divergence, by Wenzhe Yin et al.
Domain Adaptation with Cauchy-Schwarz Divergenceby Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Liu, Jan-Jakob Sonke,…
Domain Adaptation with Cauchy-Schwarz Divergenceby Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Liu, Jan-Jakob Sonke,…
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learningby Mingqi Yuan, Roger Creus Castanyer, Bo Li, Xin…
Clustering-Based Validation Splits for Model Selection under Domain Shiftby Andrea Napoli, Paul WhiteFirst submitted to…
Forward-Backward Knowledge Distillation for Continual Clusteringby Mohammadreza Sadeghi, Zihan Wang, Narges ArmanfardFirst submitted to arxiv…
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCIby Wei-Bang Jiang,…
SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detectionby Xiangyu Dong, Xingyi Zhang, Yanni Sun, Lei…
Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosisby Ziyan Wang, Mohamed…
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discoveryby Anand Gopalakrishnan, Aleksandar Stanić, Jürgen Schmidhuber, Michael Curtis…
Mixtures of Unsupervised Lexicon Classificationby Peratham WiriyathammabhumFirst submitted to arxiv on: 27 May 2024CategoriesMain: Computation…
Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learningby Adriana Hugessen, Roger Creus Castanyer, Faisal Mohamed, Glen…