Aaai Open Source Projects

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

For deep RL and the future of AI.

📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.

TextBoxes: A Fast Text Detector with a Single Deep Neural Network

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

Download papers and supplemental materials from open-access paper website, such as AAAI, AAMAS, AISTATS, COLT, CORL, CVPR, ECCV, ICCV, ICLR, ICML, IJCAI, JMLR, NIPS, RSS, WACV.

[AAAI2021] The code of “Similarity Reasoning and Filtration for Image-Text Matching”

ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction

Motion-Attentive Transition for Zero-Shot Video Object Segmentation (AAAI2020&TIP2021)

Deep Video Frame Interpolation using Cyclic Frame Generation

Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers

[MedIA] Paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"

AAAI20 "CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning"

(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning

[AAAI 2024] NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement. Project Website https://mv-lab.github.io/nilut/

update some video object detection papers (视频目标检测论文和代码整理)

[AAAI 2019] Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation