AHHY#ON (ahhy3on)

ahhy3on

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Company:Seoul National Univ

Location:Seoul

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AHHY#ON's repositories

acl-style-files

Official style files for papers submitted to venues of the Association for Computational Linguistics

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robust-tableqa

Two approaches for robust TableQA: 1) ITR is a general-purpose retrieval-based approach for handling long tables in TableQA transformer models. 2) LI-RAGE is a robust framework for open-domain TableQA which addresses several limitations. (ACL 2023)

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google-research

Google Research

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ELR

Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

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TorchSSL

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

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Few-shot-Classification_BMS

Code for 'Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning'

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swords

The Stanford Word Substitution (Swords) Benchmark

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fixmatch

A simple method to perform semi-supervised learning with limited data.

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LDAM-DRW

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

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Awesome-Text-to-Image

A Survey on Text-to-Image Generation/Synthesis.

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large-scale-lm-tutorials

Large-scale language modeling tutorials with PyTorch

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cli

✨ Create a new production-ready project with backend, frontend and deploy automation by running one CLI command!

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2021S-Samsung

[μ‚Όμ„±] 21λ…„ λŒ€ν•™μƒ S/W μ•Œκ³ λ¦¬μ¦˜ μ—­λŸ‰κ°•ν™” νŠΉκ°•

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ahhy3on

Config files for my GitHub profile.

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awesome-vision-language-pretraining-papers

Recent Advances in Vision and Language PreTrained Models (VL-PTMs)

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Deformable-DETR

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

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fair-mixup

ICLR 2021, Fair Mixup: Fairness via Interpolation

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Clean-Code-in-Python

Clean Code in Python, published by Packt

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bertram

This repository contains the code for "BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Representations".

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Awesome-Few-shot

Awesome Few-shot learning

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cs61a-projects

CS61A Structure and Interpretationof Computer Programs @UC Berkeley

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