Siliang Tang

Ad Recommendation for Sponsored Search Engine via Composite Long-Short Term Memory

2016

Search engine logs contain a large amount of users' click-through data that can be leveraged as implicit indicators of relevance. In this paper we address ad recommendation problem that finding and ranking the most relevant …

Hybrid embedding and joint training of stacked encoder for opinion question machine reading comprehension

2020 · Frontiers of Information Technology & Electronic Engineering

Opinion question machine reading comprehension (MRC) requires a machine to answer questions by analyzing corresponding passages. Compared with traditional MRC tasks where the answer to every question is a segment of text in corresponding passages, …

Self-Supervised Class Incremental Learning

2021 · arXiv (Cornell University)

Existing Class Incremental Learning (CIL) methods are based on a supervised classification framework sensitive to data labels. When updating them based on the new class data, they suffer from catastrophic forgetting: the model cannot discern …

Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning

2022 · arXiv (Cornell University)

Novel category discovery aims at adapting models trained on known categories to novel categories. Previous works only focus on the scenario where known and novel categories are of the same granularity. In this paper, we …