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20102026
most citedVariational Autoencoder for Deep Learning of Images, Labels and Captions

371 citations · 1.3k across the 68 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

stat.ML2023

Improving Event Time Prediction by Learning to Partition the Event Time Space

Jimmy Hickey, Ricardo Henao, Daniel Wojdyla +2

Recently developed survival analysis methods improve upon existing approaches by predicting the probability of event occurrence in each of a number pre-specified (discrete) time in…

cs.CL2023★ 4 cited

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding

Junda Wu, Tong Yu, Rui Wang +6

Soft prompt tuning achieves superior performances across a wide range of few-shot tasks. However, the performances of prompt tuning can be highly sensitive to the initialization of…

cs.LG2023★ 4 cited

An Effective Meaningful Way to Evaluate Survival Models

Shi-ang Qi, Neeraj Kumar, Mahtab Farrokh +5

One straightforward metric to evaluate a survival prediction model is based on the Mean Absolute Error (MAE) -- the average of the absolute difference between the time predicted by…

cs.CV2023★ 3 cited

Mitigating Test-Time Bias for Fair Image Retrieval

Fanjie Kong, Shuai Yuan, Weituo Hao +1

We address the challenge of generating fair and unbiased image retrieval results given neutral textual queries (with no explicit gender or race connotations), while maintaining the…

cs.CL2023★ 1 cited

Open World Classification with Adaptive Negative Samples

Ke Bai, Guoyin Wang, Jiwei Li +5

Open world classification is a task in natural language processing with key practical relevance and impact. Since the open or {\em unknown} category data only manifests in the infe…

cs.CL2023★ 2 cited

Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling

Rui Wang, Pengyu Cheng, Ricardo Henao

Pretrained language models (PLMs), such as GPT2, have achieved remarkable empirical performance in text generation tasks. However, pretrained on large-scale natural language corpor…

cs.LG2023★ 12 cited

Neural Insights for Digital Marketing Content Design

Fanjie Kong, Yuan Li, Houssam Nassif +3

In digital marketing, experimenting with new website content is one of the key levers to improve customer engagement. However, creating successful marketing content is a manual and…