Every paper, ordered by impact or potential impact. About SIGMOD 2023
| ID | Paper | Authors | Source | Date |
|---|---|---|---|---|
| 1 | SANTOS: Relationship-based Semantic Table Union Search IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In this work, we introduce the use of semantic relationships between pairs of columns in a table to improve the accuracy of the union search. | Aamod Khatiwada; Grace Fan; Roee Shraga et al. | sigmod | 2023-06-22 |
| 2 | Few-shot Text-to-SQL Translation Using Structure and Content Prompt Learning IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Specifically, when there is limited training data on new datasets, existing few-shot Text-to-SQL techniques, even with carefully designed textual prompts on pre-trained language models (PLMs), tend to be ineffective. In this paper, we present a divide-and-conquer framework to better support few-shot Text-to-SQL translation, which divides Text-to-SQL translation into two stages (or sub-tasks), such that each sub-task is simpler to be tackled. | Zihui Gu; Ju Fan; Nan Tang et al. | sigmod | 2023-06-22 |
| 3 | LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To extend the applicability of ensemble learning, we propose the LightTS framework that compresses large ensembles into lightweight models while ensuring competitive accuracy. | David Campos; Miao Zhang; Bin Yang et al. | sigmod | 2023-06-22 |
| 4 | High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: To speed it up, we propose a randomized algorithm named ADSampling which runs in logarithmic time wrt the dimensionality for the majority of DCOs and succeeds with high probability. | Jianyang Gao; Cheng Long; | sigmod | 2023-06-22 |
| 5 | Efficient Approximate Nearest Neighbor Search in Multi-dimensional Databases IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose a novel τ-monotonic graph (τ- MG) to address the limitations. | Yun Peng; Byron Choi; Tsz Nam Chan et al. | sigmod | 2023-06-22 |
This page lists the papers of SIGMOD 2023, ordered by impact or potential impact.