FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated…
Convergence Rate Maximization for Split Learning-based Control of EMG Prosthetic Devicesby Matea Marinova, Daniel Denkovski,…
Interpreting Adaptive Gradient Methods by Parameter Scaling for Learning-Rate-Free Optimizationby Min-Kook Suh, Seung-Woo SeoFirst submitted…
SeqNAS: Neural Architecture Search for Event Sequence Classificationby Igor Udovichenko, Egor Shvetsov, Denis Divitsky, Dmitry…
VLLaVO: Mitigating Visual Gap through LLMsby Shuhao Chen, Yulong Zhang, Weisen Jiang, Jiangang Lu, Yu…
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyondby Thanh Nguyen-Tang, Raman AroraFirst…
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learningby Rafael Rafailov, Kyle Hatch, Victor…
Enhancing Context Through Contrastby Kshitij Ambilduke, Aneesh Shetye, Diksha Bagade, Rishika Bhagwatkar, Khurshed Fitter, Prasad…
Attention and Autoencoder Hybrid Model for Unsupervised Online Anomaly Detectionby Seyed Amirhossein Najafi, Mohammad Hassan…
Weakly Augmented Variational Autoencoder in Time Series Anomaly Detectionby Zhangkai Wu, Longbing Cao, Qi Zhang,…