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Found 11 papers, 4 papers with code
Efficient LLM inference solution on Intel GPU
A customized Scaled-Dot-Product-Attention kernel is designed to match our fusion policy based on the segment KV cache solution.
EIC Physics from An All-Silicon Tracking Detector
The proposed electron-ion collider has a rich physics program to study the internal structure of protons and heavy nuclei.
Nuclear Experiment Nuclear Theory
Numerical simulation of hot accretion flows (IV): effects of black hole spin and magnetic field strength on the wind and the comparison between wind and jet properties
One interesting finding, among others, is that even in the case of very rapidly spinning black hole where the jet is supposed to be the strongest, the momentum flux of jet is smaller than that of wind, while the total energy flux of jet is larger than that of wind by at most a factor of 10.
High Energy Astrophysical Phenomena
From haloes to galaxies -- II. The fundamental relations in star formation and quenching
We show the integrated $M_{\rm H_2}$-SFR, SFR-$M_*$ and $M_{\rm H_2}$-$M_*$ relation can be simply transformed from the $\mu$-sSFR, SFE-$\mu$ and SFE-sSFR relation, respectively.
Astrophysics of Galaxies
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation
However, most meta-learning based recommendation approaches adopt model-agnostic meta-learning for parameter initialization, where the global sharing parameter may lead the model into local optima for some users.
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective
A significant remaining challenge for existing recommender systems is that users may not trust the recommender systems for either lack of explanation or inaccurate recommendation results.
Video Compression Coding via Colorization: A Generative Adversarial Network (GAN)-Based Approach
Under the limited storage, computing and network bandwidth resources, the video compression coding technology plays an important role for visual communication.
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns
Cross-domain recommendation has long been one of the major topics in recommender systems.
Adversarial Variational Embedding for Robust Semi-supervised Learning
However, the latent code learned by the traditional VAE is not exclusive (repeatable) for a specific input sample, which prevents it from excellent classification performance.
Adversarial Collaborative Auto-encoder for Top-N Recommendation
In this work, to address the above issue, we propose a general adversial training framework for neural network-based recommendation models, which improves both the model robustness and the overall performance.
Cloud Radiative Effect Study Using Sky Camera
weather reporting, climate forecasting, and solar energy generation.
