Representation Learning of Multivariate Time Series using a Transformer Framework
- George Zerveas
- Srideepika Jayaraman
- et al.
- 2021
- KDD 2021
Conference paper
Publications
27 results at KDD 2021
NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
- Enyan Dai
- Charu Aggarwal
- et al.
- 2021
- KDD 2021
Conference paperGraph Adversarial Attack via Rewiring
- Yao Ma
- Suhang Wang
- et al.
- 2021
- KDD 2021
Conference paperOut-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning
- Hannah Kim
- Girmaw Abebe Tadesse
- et al.
- 2021
- KDD 2021
Workshop paperSimilar Cases Recommendation using Legal Knowledge Graphs
- Jaspreet Singh Dhani
- Ruchika Bhatt
- et al.
- 2021
- KDD 2021
Workshop paperRisk Analytics for Renewal of Purchase Orders
- Shubhi Asthana
- Pawan Chowdhary
- et al.
- 2021
- KDD 2021
Workshop paperDetection Masking for Improved OCR on Noisy Documents
- Daniel Rotman
- Ophir Azulai
- et al.
- 2021
- KDD 2021
Workshop paperShort Text Clustering in Continuous Time Using Stacked Dirichlet-Hawkes Process with Inverse Cluster Frequency Prior
- 2021
- KDD 2021
Workshop paperLeveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case
- Shruthi Chari
- Prithwish Chakraborty
- et al.
- 2021
- KDD 2021
Workshop paperWorkshop on Document Intelligence
- Douglas Burdick
- Dave Lewis
- et al.
- 2021
- KDD 2021
Workshop