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Hi there ๐Ÿ‘‹

  • Iโ€™m Kidist, a PhD student in the Information Retrieval Lab (IRLab) at the University of Amsterdam (UvA) supervised by Prof. dr. Maarten de Rijke and Dr. Andrew Yates. My primary research focuses on Generative methods for Information Retrieval. I'm passionate about Generative Modelling, Multi-modal Learning, and Reinforcement Learning.

  • I'm a lifelong learner ๐ŸŒฑ.

    Kidist Google Scholar Kidist Amde Linkdein Kidist Amde Github Kidist StackOverflow Kidist  Instagram

Education and Experience

  • ๐Ÿ”ญ Currently a PhD student at the University of Amsterdam, Netherlands (2023 - Present)
  • ๐Ÿง‘๐Ÿฝโ€๐Ÿ”ฌ๐Ÿงช Data Science Research Intern, NANOVERY, Newcastle upon Tyne, England, United Kingdom (Apr 2022 - Oct 2022)
  • ๐Ÿ‘ฉ๐Ÿฝโ€๐ŸŽ“ M.Sc in Data Science at University of Trento, Italy (2020-2022)
  • ๐Ÿ‘ฉ๐Ÿฝโ€๐ŸŽ“ M.Sc in Machine Intelligence, African Institute for Mathematical Sciences (AIMS-Rwanda) (2019-2020)
  • ๐Ÿ‘ฉ๐Ÿฝโ€๐Ÿซ๐Ÿฅผ Assistant Lecturer, Department of Computer Science, University of Gondar, Ethiopia (2017-2019)
  • ๐Ÿ“š BSc in Computer Science at University of Gondar, Ethiopia (2013-2017)

Volunteer work

Kidist Amde Mekonnen's Projects

acsi icon acsi

Web based system for Amhara Credit and saving institution

adv-kd icon adv-kd

Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion Sampling.

amhric-language-models icon amhric-language-models

Amharic language model and word vectors to aid NLP tasks and advance research for low-resource languages.

balanced-face-dataset icon balanced-face-dataset

Balanced Face Dataset: Guiding StyleGAN to Generate Labeled Synthetic Face Image Dataset for Underrepresented Group

beir icon beir

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

biggan-pytorch icon biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

birth-monitor icon birth-monitor

Big data system for monitoring and estimating, based on tweets, the birth rate in various parts of Europe and its dynamics. Using Twitter APIs + data from Eurostat

dsi-qg icon dsi-qg

The official repository for "Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation", Shengyao Zhuang, Houxing Ren, Linjun Shou, Jian Pei, Ming Gong, Guido Zuccon and Daxin Jiang.

dsi-transformers icon dsi-transformers

A huggingface transformers implementation of "Transformer Memory as a Differentiable Search Index"

genret icon genret

Learning to Tokenize for Generative Retrieval (NeurIPS 2023)

halos icon halos

A library with extensible implementations of DPO, KTO, PPO, and other human-aware loss functions (HALOs).

hashtagnomoretweetanalysis icon hashtagnomoretweetanalysis

Sentiment analysis, Semantic Network and Topic modeling: Case study on analyzing tweets towards African NoMore campaign

image-search-engine icon image-search-engine

The main objective of this project is to create an algorithm able to match the images in a query set with the images in a much larger set called gallery.

image2paragraph-progressive icon image2paragraph-progressive

[A toolbox for fun.] Transform Image into Unique Paragraph with ChatGPT, BLIP2, OFA, GRIT, Segment Anything, ControlNet.

ir_datasets icon ir_datasets

Provides a common interface to many IR ranking datasets.

mindiffusion icon mindiffusion

Self-contained, minimalistic implementation of diffusion models with Pytorch.

pyserini icon pyserini

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

pytrec_eval icon pytrec_eval

pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.

seal icon seal

Search Engines with Autoregressive Language models

space-time-cube-visualization icon space-time-cube-visualization

Studies on Human Behavior - Geovisualization of Spatio-temporal data is a very promising topic, especially for social sciences. It is possible to use a space-time cube to reveal activity, travel patterns of different genders, ethnic subgroups, non-employees, etc. and all the information can be related to urban planning, transportation,location-based services, and many other fields dealing with individual geo-data.In this work, I used the GPS data that describe the movements of 3 subjects and Time diary data , data collected from the 3 subjects through ilog-mobile application..

topic-modeling icon topic-modeling

The goal of this work is to identify consistent topics in time, i.e., set of terms that become frequent together throughout time.

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