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Yahoo Research
- Mountain View, CA, USA
- dmhyun.github.io
- @DongminHyun1
- in/dmhyun
- https://scholar.google.com/citations?user=UkmiMawAAAAJ
Stars
Bootstrapped Unsupervised Sentence Representation Learning (ACL 2021)
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
The official source code for "MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement", accepted at CIKM2023
Repository for EMNLP 2022 Paper: Towards a Unified Multi-Dimensional Evaluator for Text Generation
BARTScore: Evaluating Generated Text as Text Generation
Code for paper "G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment"
Official implementation of the NeurIPS 2022 paper "A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization"
The official source code for Similarity Preserving Adversarial Graph Contrastive Learning (SP-AGCL) at KDD 2023.
The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.
The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"
The official source code for "Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning", accepted at Bioinformatics (Volume 39, June 2023) and 2023 ICML workshop on Com…
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".
Official PyTorch implementation Source code for MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation, accepted at SIGIR 2023
The offical source code for [2023 NeurIPS] " Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer"
[EMNLP 2022] Official Pytorch implementation for "Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation"
Paper List for Recommend-system PreTrained Models
A Unified Library for Parameter-Efficient and Modular Transfer Learning
A curated list of awesome papers on dataset distillation and related applications.
Out-of-category document identification using target-category names as weak supervision
The official source code for "LTE4G: Long-Tail Experts for Graph Neural Networks" paper, accepted at CIKM 2022.
The official source code for "Relational Self-Supervised Learning on Graphs"
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).