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Found 5 papers, 1 papers with code
Molecular design method based on novel molecular representation and variational auto-encoder
Based on the traditional VAE, a novel neural network model is presented, with the latest molecular representation, SELFIES, to improve the effect of generating new molecules.
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification
On top of that, the performance of Tip-Adapter can be further boosted to be state-of-the-art on ImageNet by fine-tuning the cache model for 10$\times$ fewer epochs than existing methods, which is both effective and efficient.
AI Matrix - Synthetic Benchmarks for DNN
In this work, a synthetic benchmarks framework is firstly proposed to address the above drawbacks of AI benchmarks.
CSI-based Outdoor Localization for Massive MIMO: Experiments with a Learning Approach
We report on experimental results on the use of a learning-based approach to infer the location of a mobile user of a cellular network within a cell, for a 5G-type Massive multiple input, multiple output (MIMO) system.
Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources
The quality of web sources has been traditionally evaluated using exogenous signals such as the hyperlink structure of the graph.
