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Found 7 papers, 1 papers with code
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory
To understand whether persistent memory is a good fit for GNNRecSys training, we perform an in-depth characterization of GNNRecSys workloads and a comprehensive analysis of their performance on a persistent memory device, namely, Intel Optane.
Extensible Proxy for Efficient NAS
(2) Efficient proxies are not extensible to multi-modality downstream tasks.
Extensible and Efficient Proxy for Neural Architecture Search
We further propose a Discrete Proxy Search (DPS) method to find the optimized training settings for Eproxy with only a handful of benchmarked architectures on the target tasks.
NPS: A Framework for Accurate Program Sampling Using Graph Neural Network
Furthermore, NPS shows higher accuracy and generality than the state-of-the-art GNN approach in code behavior learning, enabling the generation of high-quality execution embeddings.
Image Harmonization with Diffusion Model
In this paper, we present a novel approach for image harmonization by leveraging diffusion models.
AI Agent as Urban Planner: Steering Stakeholder Dynamics in Urban Planning via Consensus-based Multi-Agent Reinforcement Learning
By integrating Multi-Agent Reinforcement Learning, our framework ensures that participatory urban planning decisions are more dynamic and adaptive to evolving community needs and provides a robust platform for automating complex real-world urban planning processes.
xMLP: Revolutionizing Private Inference with Exclusive Square Activation
However, the use of non-linear activations such as ReLU in DNNs can lead to impractically high PI latency in existing PI systems, as ReLU requires the use of costly MPC computations, such as Garbled Circuits.
