Search Results for author: Tomer Levinboim

Found 8 papers, 1 papers with code

Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning

no code implementations NeurIPS 2021 Nan Ding, Xi Chen, Tomer Levinboim, Sebastian Goodman, Radu Soricut

Despite recent advances in its theoretical understanding, there still remains a significant gap in the ability of existing PAC-Bayesian theories on meta-learning to explain performance improvements in the few-shot learning setting, where the number of training examples in the target tasks is severely limited.

Few-Shot Learning

Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance

no code implementations EMNLP (Eval4NLP) 2020 Xi Chen, Nan Ding, Tomer Levinboim, Radu Soricut

Recent advances in automatic evaluation metrics for text have shown that deep contextualized word representations, such as those generated by BERT encoders, are helpful for designing metrics that correlate well with human judgements.

Text Generation

Reinforcing an Image Caption Generator Using Off-Line Human Feedback

no code implementations21 Nov 2019 Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, Bohyung Han, Radu Soricut

Human ratings are currently the most accurate way to assess the quality of an image captioning model, yet most often the only used outcome of an expensive human rating evaluation is a few overall statistics over the evaluation dataset.

Image Captioning

Quality Estimation for Image Captions Based on Large-scale Human Evaluations

1 code implementation NAACL 2021 Tomer Levinboim, Ashish V. Thapliyal, Piyush Sharma, Radu Soricut

Automatic image captioning has improved significantly over the last few years, but the problem is far from being solved, with state of the art models still often producing low quality captions when used in the wild.

Image Captioning Model Selection

Informative Image Captioning with External Sources of Information

no code implementations ACL 2019 Sanqiang Zhao, Piyush Sharma, Tomer Levinboim, Radu Soricut

An image caption should fluently present the essential information in a given image, including informative, fine-grained entity mentions and the manner in which these entities interact.

Image Captioning

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