From the 5 of 51 papers with an AI index.
76 citations
- University of MichiganUS4 papers
- University of WaterlooCA4 papers
- Chalmers University of TechnologySE3 papers
- Google (Switzerland)CH3 papers
- Harvard UniversityUS3 papers
- National Taiwan UniversityTW3 papers
- Perimeter InstituteCA3 papers
- Stanford UniversityUS3 papers
- Tohoku UniversityJP3 papers
- University of AmsterdamNL3 papers
- Aalto UniversityFI2 papers
- Academy of AthensGR2 papers
4 papers · 1 filter
Exposure-Based Reinforcement Learning to Rank
Harrie Oosterhuis, Rolf Jagerman, Zhen Qin +1
Reinforcement learning (RL) methods for learning-to-rank (LTR) can optimize (almost) any ranking goal, e.g., from precision or discounted cumulative gain to fairness-of-exposure or…
What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale
Rameen Mahmood, Tousif Ahmed, Sai Teja Peddinti +1
The growth of IoT devices in shared environments has outpaced our ability to identify them, posing urgent risks to privacy, safety, and accountability. This challenge is especially…
Learning Chern Numbers of Topological Insulators with Gauge Equivariant Neural Networks
Longde Huang, Oleksandr Balabanov, Hampus Linander +3
Equivariant network architectures are a well-established tool for predicting invariant or equivariant quantities. However, almost all learning problems considered in this context f…
Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended
Aditya K Kamath, Arvind Krishnamurthy, Marco Canini +1
Machine learning (ML) training and inference often process data sets far exceeding GPU memory capacity, forcing them to rely on PCIe for on-demand tensor transfers, causing critica…