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2s-agcn

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

3d-human-pose-estimation

Important papers about 3D human pose estimation.

a-unifying-framework-for-spectrum-preserving-graph-sparsification-and-coarsening

Python code associated with the paper ``A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)

acf

Attentive collaborative filtering: Multimedia recommendation with item-and component-level attention

am3

Adaptive Cross-Modal Few-shot learning OSS code

appnp

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

as-maml

A meta-learning framework for few-shot graph learning

asap

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

atl-net

The code of "Learning Task-aware Local Representations for Few-shot Learning", IJCAI 2020.

attentive-group-recommendation

Attentive Group Recommendation

awesome-incremental-learning

Awesome Incremental Learning

awesome-knowledge-distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2020)。

awesome-vpn

Free VPN/proxy,server,account,link list.,实时更新免费的代理,科学上网,翻墙,梯子,服务器,客户端,账号

bgnn-aaai

cafm

Code and features for the ACM MM17 paper: "How Personality Affects our Likes: Towards a Better Understanding of Actionable Images"

cag_visdial

capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

cdac-plus

Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement (AAAI2020)

cec-cvpr2021

Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"

chencf.github.io

cmac

The dataset and code for the paper "Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information"

conference-acceptance-rate

Statistics of acceptance rate for the main AI conference

conta

Implementation for NeurIPS oral paper: Causal Intervention for Weakly-Supervised Semantic Segmentation

context-transformer

Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

d-vae

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019

dag-gnn

danmf

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

dbtnet

Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deep_learning_object_detection

A paper list of object detection using deep learning.