21 citations · 37 across the 7 of their papers we have counts for
7 papers
TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity
Shaunak Mishra, Changwei Hu, Manisha Verma +3
Coming up with effective ad text is a time consuming process, and particularly challenging for small businesses with limited advertising experience. When an inexperienced advertise…
Powering COVID-19 community Q&A with Curated Side Information
Manisha Verma, Kapil Thadani, Shaunak Mishra
Community question answering and discussion platforms such as Reddit, Yahoo! answers or Quora provide users the flexibility of asking open ended questions to a large audience, and…
Match Them Up: Visually Explainable Few-shot Image Classification
Bowen Wang, Liangzhi Li, Manisha Verma +3
Few-shot learning (FSL) approaches are usually based on an assumption that the pre-trained knowledge can be obtained from base (seen) categories and can be well transferred to nove…
One word at a time: adversarial attacks on retrieval models
Nisarg Raval, Manisha Verma
Adversarial examples, generated by applying small perturbations to input features, are widely used to fool classifiers and measure their robustness to noisy inputs. However, little…
Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement
Shaunak Mishra, Manisha Verma, Yichao Zhou +2
In the online advertising industry, the process of designing an ad creative (i.e., ad text and image) requires manual labor. Typically, each advertiser launches multiple creatives…
Recommending Themes for Ad Creative Design via Visual-Linguistic Representations
Yichao Zhou, Shaunak Mishra, Manisha Verma +2
There is a perennial need in the online advertising industry to refresh ad creatives, i.e., images and text used for enticing online users towards a brand. Such refreshes are requi…
Clusters in Explanation Space: Inferring disease subtypes from model explanations
Marc-Andre Schulz, Matt Chapman-Rounds, Manisha Verma +2
Identification of disease subtypes and corresponding biomarkers can substantially improve clinical diagnosis and treatment selection. Discovering these subtypes in noisy, high dime…