Minimum Description Length and Generalization Guarantees for Representation Learningby Milad Sefidgaran, Abdellatif Zaidi, Piotr KrasnowskiFirst…
Discovering interpretable models of scientific image data with deep learningby Christopher J. Soelistyo, Alan R.…
Continuous Tensor Relaxation for Finding Diverse Solutions in Combinatorial Optimization Problemsby Yuma Ichikawa, Hiroaki IwashitaFirst…
Scalable and Efficient Temporal Graph Representation Learning via Forward Recent Samplingby Yuhong Luo, Pan LiFirst…
L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencodersby Ruikang Ouyang, Andrew Elliott, Stratis Limnios,…
A Probabilistic Model Behind Self-Supervised Learningby Alice Bizeul, Bernhard Schölkopf, Carl AllenFirst submitted to arxiv…
Graph Domain Adaptation: Challenges, Progress and Prospectsby Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu,…
Self-Supervised Contrastive Pre-Training for Multivariate Point Processesby Xiao Shou, Dharmashankar Subramanian, Debarun Bhattacharjya, Tian Gao,…
Are Synthetic Time-series Data Really not as Good as Real Data?by Fanzhe Fu, Junru Chen,…
Graph Transformers without Positional Encodingsby Ayush GargFirst submitted to arxiv on: 31 Jan 2024CategoriesMain: Machine…