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Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
Accompanied repositories for our paper Graph foundation model
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
Collection of papers and resources for data augmentation for NLP.
Methods and evaluation for aligning language models temporally
Offical repository of TwiBot-22 @ NeurIPS 2022, Datasets and Benchmarks Track.
[ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Extracting Cultural Commonsense Knowledge at Scale (WWW 2023)
[Paper][IJCAI2022] Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting
Long Range Arena for Benchmarking Efficient Transformers
Fast and memory-efficient exact attention
A collection of AWESOME things about domian adaptation
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.
EasyLiterature is an open-sourced, Python-based command line tool for automatic literature management.
Image to prompt with BLIP and CLIP
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)