Contrastvae: Contrastive variational autoencoder for sequential recommendation

Y Wang, H Zhang, Z Liu, L Yang, PS Yu - Proceedings of the 31st ACM …, 2022 - dl.acm.org
Aiming at exploiting the rich information in user behaviour sequences, sequential
recommendation has been widely adopted in real-world recommender systems. However …

Position: Bayesian deep learning is needed in the age of large-scale AI

T Papamarkou, M Skoularidou, K Palla… - ar** contrastive learning
J Cui, W Huang, Y Wang… - … Conference on Machine …, 2023 - proceedings.mlr.press
Contrastive learning has shown outstanding performances in both supervised and
unsupervised learning, and has recently been introduced to solve weakly supervised …

Self-supervised representation learning for trip recommendation

Q Gao, W Wang, K Zhang, X Yang, C Miao… - Knowledge-Based Systems, 2022 - Elsevier
Trip recommendation is a significant and engaging location-based service that can help new
tourists make more customized travel plans. It often attempts to suggest a sequence of points …

Gesture2Vec: Clustering gestures using representation learning methods for co-speech gesture generation

PJ Yazdian, M Chen, A Lim - 2022 IEEE/RSJ International …, 2022 - ieeexplore.ieee.org
Co-speech gestures are a principal component in conveying messages and enhancing
interaction experiences between humans and critical ingredients in human-agent …

Spiking generative adversarial networks with a neural network discriminator: Local training, bayesian models, and continual meta-learning

B Rosenfeld, O Simeone… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Neuromorphic data carries information in spatio-temporal patterns encoded by spikes.
Accordingly, a central problem in neuromorphic computing is training spiking neural …

PesViT: a deep learning approach for detecting misuse of pesticides on farm

LQ Thao, ND Thien, NC Bach, DD Cuong… - The Journal of …, 2023 - Springer
Agricultural production utilizes pesticides as a crucial factor in protecting crops to
supplement the food supply amidst today's increasing demand. Owing to significant financial …