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ff6540c54a847ef9114a332c101f5edc-Paper-Conference.pdf

ff521f7570d6ed23217ba5780753a1f7-Supplemental-Conference.pdf

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning

Neural Information Processing Systems

Utilizing mutual learning can effectively enhance the performance of peer BNNs.

Robust Sleep Staging over Incomplete Multimodal Physiological Signals via Contrastive Imagination Qi Shen

Neural Information Processing Systems

Furthermore, the exploration of temporal context information within PSs is also a serious challenge.

ff4039889b7f89635e9cbd5cefffa0d4-Supplemental-Conference.pdf

ff4039889b7f89635e9cbd5cefffa0d4-Paper-Conference.pdf

Errors-in-variables Fréchet Regression with Low-rank Covariate Approximation

Neural Information Processing Systems

Fréchet regression has emerged as a promising approach for regression analysis involving non-Euclidean response variables.

Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization

Neural Information Processing Systems

Previous works have implicitly studied that FL suffers from the "client-drift" problem, which is caused by the inconsistent optimum across local clients.

Rehearsal Learning for Avoiding Undesired Future

Neural Information Processing Systems

Machine learning (ML) models have been widely used to make predictions.

cac9e747a1d480c78312226959566cef-Paper-Conference.pdf