[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
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Updated
Jun 5, 2024 - Python
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
[CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".
The source code and pre-trained models for Motion Matters: Neural Motion Transfer for Better Camera Physiological Sensing (WACV 2024, Oral).
Unofficial Pytorch Implementation Of AdversarialAutoAugment(ICLR2020)
[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".
Neural Fuzzy Repair (NFR) is a data augmentation pipeline, which integrates fuzzy matches (i.e. similar translations) into neural machine translation.
[KDD23] Official PyTorch implementation for "Improving Conversational Recommendation Systems via Counterfactual Data Simulation".
Pytorch implementation of the paper: "BMN: Boundary-Matching Network for Temporal Action Proposal Generation", along with three new modules to address overfitting issues found in the baseline model, and their ablation studies.
Augmentation for CV using frequency shortcuts
Computational toolkit for efficient prediction of the thickness of 2D materials
This is an effort to provide different approaches towards human action recognition from video. A method to perform data augmentation on skeletal data so as to achieve a view independent recognition approach is included.
RoBERTa에 LSTM 레이어를 추가하여 Multi label dataset 분류
A light weight CLI for augmenting image datasets for deep learning and ML projects
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