research
∙
12/18/2019
Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation
Recently, the embedding-based recommendation models (e.g., matrix factor...
share
research
∙
09/25/2019
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning
We propose Dynamically Pruned Message Passing Networks (DPMPN) for large...
research
∙
05/30/2019
Neural Consciousness Flow
The ability of reasoning beyond data fitting is substantial to deep lear...
research
∙
11/01/2018
Modeling Attention Flow on Graphs
Real-world scenarios demand reasoning about process, more than final out...
research
∙
10/22/2018
ShareJIT: JIT Code Cache Sharing across Processes and Its Practical Implementation
Just-in-time (JIT) compilation coupled with code caching are widely used...
research
∙
07/25/2018
Backprop-Q: Generalized Backpropagation for Stochastic Computation Graphs
In real-world scenarios, it is appealing to learn a model carrying out s...
research
∙
06/12/2018
Efficient Characterization of Hidden Processor Memory Hierarchies
A processor's memory hierarchy has a major impact on the performance of ...
research
∙
08/03/2017
