Layer assignment is seldom picked out as an independent research topic i...
Recently, the embedding-based recommendation models (e.g., matrix
factor...
The live streaming is more challenging than on-demand streaming, because...
Systems that can associate images with their spoken audio captions are a...
Most existing work on adversarial data generation focuses on English. Fo...
Cooperative game is a critical research area in multi-agent reinforcemen...
Cooperative game is a critical research area in multi-agent reinforcemen...
Existing paraphrase identification datasets lack sentence pairs that hav...
Shift operation is an efficient alternative over depthwise separable
con...
Recently, neural models for information retrieval are becoming increasin...
Neuron pruning is an efficient method to compress the network into a sli...
Real-world scenarios demand reasoning about process, more than final out...
We address fine-grained multilingual language identification: providing ...
We propose a consistent polynomial-time method for the unseeded node mat...
Localization is a fundamental function in cooperative control of micro
u...
The problem of learning a correspondence relationship between nodes of t...
A key problem in blind image quality assessment (BIQA) is how to effecti...
We introduce a neural method for transfer learning between two (source a...
Traditional syntax models typically leverage part-of-speech (POS) inform...
The estimation of probabilities of network edges from the observed adjac...
Many methods have been proposed for community detection in networks, but...
Community detection is a fundamental problem in network analysis which i...