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04/03/2023
Guaranteeing the Õ(AGM/OUT) Runtime for Uniform Sampling and OUT Size Estimation over Joins
We propose a new method for estimating the number of answers OUT of a sm...
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11/23/2022
Generalizable Implicit Neural Representations via Instance Pattern Composers
Despite recent advances in implicit neural representations (INRs), it re...
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06/09/2022
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer
Although autoregressive models have achieved promising results on image ...
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03/03/2022
Autoregressive Image Generation using Residual Quantization
For autoregressive (AR) modeling of high-resolution images, vector quant...
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01/17/2022
Contrastive Regularization for Semi-Supervised Learning
Consistency regularization on label predictions becomes a fundamental te...
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07/21/2021
Towards Plug-and-Play Visual Graph Query Interfaces: Data-driven Canned Pattern Selection for Large Networks
Canned patterns (i.e. small subgraph patterns) in visual graph query int...
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04/02/2021
Symmetric Continuous Subgraph Matching with Bidirectional Dynamic Programming
In many real datasets such as social media streams and cyber data source...
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03/25/2021
[Technical Report] Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation
Graph pattern cardinality estimation is the problem of estimating the nu...
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09/21/2020
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering
For stability and reliability of real-world applications, the robustness...
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01/23/2019