홈 › Papers

RuCLIP -- new models and experiments: a technical report

2022-02-22 · Alex Shonenkov, Andrey Kuznetsov, Denis Dimitrov, Tatyana Shavrina, Daniil Chesakov, Anastasia Maltseva, Alena Fenogenova, Igor Pavlov, Anton Emelyanov, Sergey Markov, Daria Bakshandaeva, Vera Shybaeva, Andrey Chertok

In the report we propose six new implementations of ruCLIP model trained on our 240M pairs. The accuracy results are compared with original CLIP model with Ru-En translation (OPUS-MT) on 16 datasets from different domains. Our best implementations outperform CLIP + OPUS-MT solution on most of the datasets in few-show and zero-shot tasks. In the report we briefly describe the implementations and concentrate on the conducted experiments. Inference execution time comparison is also presented in the report.

📄 PDF Abstract BibTeX arXiv:2202.10784

Code (1)

OML-Team/open-metric-learning pytorch

Tasks

Translation

Methods 이 논문이 사용한 방법론

CLIP Contrastive Language-Image Pre-training (CLIP), consisting of a simplified version of ConVIRT trained from scratch, is an efficient method of image representation learning…

Spectral Toolkit of Algorithms for Graphs: Technical Report (2)

2024-06-06 · Peter Macgregor, He Sun

Spectral Toolkit of Algorithms for Graphs (STAG) is an open-source library for efficient graph algorithms. This technical report presents the newly implemented component on locality sensitive hashing, kernel density esti…

Clustering Density Estimation

Technical Report: Temporal Aggregate Representations

2021-06-06 · Fadime Sener, Dibyadip Chatterjee, Angela Yao

This technical report extends our work presented in [9] with more experiments. In [9], we tackle long-term video understanding, which requires reasoning from current and past or future observations and raises several fun…

Action Anticipation Action Recognition Video Understanding

Technical report: Improving the properties of molecules generated by LIMO

2024-07-20 · Vineet Thumuluri, Peter Eckmann, Michael K. Gilson, Rose Yu

This technical report investigates variants of the Latent Inceptionism on Molecules (LIMO) framework to improve the properties of generated molecules. We conduct ablative studies of molecular representation, decoder mode…

Decoder molecular representation

'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Science Journalism

2023-10-23 · Ronald Cardenas, Bingsheng Yao, Dakuo Wang, Yufang Hou

Science journalism refers to the task of reporting technical findings of a scientific paper as a less technical news article to the general public audience. We aim to design an automated system to support this real-world…

Duplicate Bug Report Detection With a Combination of Information Retrieval and Topic Modeling

2013-04-08 · 27th IEEE/ACM International Conference on Automated Software Engineering 2013 4 · Anh Tuan Nguyen, Tung Thanh Nguyen, Tien N. Nguyen, David Lo 외

Detecting duplicate bug reports helps reduce triaging efforts and save time for developers in fixing the same issues. Among several automated detection approaches, text-based information retrieval (IR) approaches have be…

Descriptive Information Retrieval Retrieval