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20162023
most citedMachine Learning Methods in Solving the Boolean Satisfiability Problem

26 citations · 77 across the 19 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.CL2021

End-to-End Conversational Search for Online Shopping with Utterance Transfer

Liqiang Xiao, Jun Ma2, Xin Luna Dong +6

Successful conversational search systems can present natural, adaptive and interactive shopping experience for online shopping customers. However, building such systems from scratc…

cs.LG2021★ 2 cited

Enhancing Unsupervised Anomaly Detection with Score-Guided Network

Zongyuan Huang, Baohua Zhang, Guoqiang Hu +3

Anomaly detection plays a crucial role in various real-world applications, including healthcare and finance systems. Owing to the limited number of anomaly labels in these complex…

cs.LG2021★ 1 cited

Dependent Multi-Task Learning with Causal Intervention for Image Captioning

Wenqing Chen, Jidong Tian, Caoyun Fan +2

Recent work for image captioning mainly followed an extract-then-generate paradigm, pre-extracting a sequence of object-based features and then formulating image captioning as a si…

cs.LG2021

Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder

Longyuan Li, Junchi Yan, Haiyang Wang +1

Deep generative models have demonstrated their effectiveness in learning latent representation and modeling complex dependencies of time series. In this paper, we present a Smoothn…

cs.LG2021

Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting

Longyuan Li, Jihai Zhang, Junchi Yan +4

Time-series is ubiquitous across applications, such as transportation, finance and healthcare. Time-series is often influenced by external factors, especially in the form of asynch…

cs.LG2021★ 7 cited

Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting

Longyuan Li, Junchi Yan, Xiaokang Yang +1

Probabilistic time series forecasting involves estimating the distribution of future based on its history, which is essential for risk management in downstream decision-making. We…