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Found 6 papers, 2 papers with code
Bullion: A Column Store for Machine Learning
The past two decades have witnessed columnar storage revolutionizing data warehousing and analytics.
ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
To capitalize on both of these strengths, we propose ATFNet, an innovative framework that combines a time domain module and a frequency domain module to concurrently capture local and global dependencies in time series data.
NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning
Navigating a nonholonomic robot in a cluttered environment requires extremely accurate perception and locomotion for collision avoidance.
Self-supervised Adaptive Weighting for Cooperative Perception in V2V Communications
The performance of cooperative perception is investigated in different system settings.
Cooperative Perception with Learning-Based V2V communications
A new late fusion scheme is proposed to leverage the robustness of intermediate features.
Callee: Recovering Call Graphs for Binaries with Transfer and Contrastive Learning
Recovering binary programs' call graphs is crucial for inter-procedural analysis tasks and applications based on them. transfer One of the core challenges is recognizing targets of indirect calls (i. e., indirect callees).
