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General Classification

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전체 기법전체 데이터셋

하위 태스크

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평가표

11

보존된 평가 기록

19

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/THUDM/GLM

공식 코드

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

https://github.com/TIBHannover/VisE

공식 코드

Ontology-driven Event Type Classification in Images

https://github.com/TUM-LMF/MTLCC

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Convolutional LSTMs for Cloud-Robust Segmentation of Remote Sensing Imagery

https://github.com/Tahedi1/Teacher_Student_Architecture

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Deep interpretable architecture for plant diseases classification

https://github.com/TashinAhmed/CloudsClassification

공식 코드

Classification and understanding of cloud structures via satellite images with EfficientUNet

https://github.com/TeCSAR-UNCC/ATCN

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ATCN: Resource-Efficient Processing of Time Series on Edge

https://github.com/TeaPearce/Bayesian_NN_Ensembles

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Uncertainty in Neural Networks: Approximately Bayesian Ensembling

https://github.com/TevenLeScao/pet

공식 코드

How Many Data Points is a Prompt Worth?

https://github.com/Tharun24/MACH

공식 코드

Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products

https://github.com/TheaperDeng/GNN-Attack-InfMax

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Towards More Practical Adversarial Attacks on Graph Neural Networks

https://github.com/Thinklab-SJTU/CSL_RetinaNet_Tensorflow

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On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited

https://github.com/Thinklab-SJTU/DCL_RetinaNet_Tensorflow

공식 코드

Dense Label Encoding for Boundary Discontinuity Free Rotation Detection

https://github.com/Thinklab-SJTU/ThinkMatch

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Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching

https://github.com/ThomasZiegler/Fashion_Landmark_Detection_and_Category_Classification

공식 코드

Fashion Landmark Detection and Category Classification for Robotics

https://github.com/TianXieUSC/GraphHop

공식 코드

GraphHop: An Enhanced Label Propagation Method for Node Classification

https://github.com/TianshuXie/Cut-Thumbnail

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Cut-Thumbnail: A Novel Data Augmentation for Convolutional Neural Network

https://github.com/TianxiangZhao/GraphSmote

공식 코드

GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks

https://github.com/TigerSense/FUMI

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Multiple Instance Dictionary Learning using Functions of Multiple Instances

https://github.com/Tixierae/WECD

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Word Embeddings for the Construction Domain

https://github.com/TobiasSkovgaardJepsen/relational-fusion-networks

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Graph Convolutional Networks for Road Networks

https://github.com/Tolmez/DivFE

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Classification of Motor Imagery EEG Signals by Using a Divergence Based Convolutional Neural Network

https://github.com/Tolmez/WalshDNN

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Strengthening the Training of Convolutional Neural Networks By Using Walsh Matrix

https://github.com/ToniCreswell/Adversarial-Attack-On-Latent-Space

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LatentPoison - Adversarial Attacks On The Latent Space

https://github.com/ToniCreswell/DAAE_

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Denoising Adversarial Autoencoders

https://github.com/Top-Ranger/text_adversarial_attack

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Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples

https://github.com/Tpap/TNet

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Hard-Attention for Scalable Image Classification

https://github.com/Trusted-AI/AIX360

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Leveraging Latent Features for Local Explanations

https://github.com/Tsingularity/FRN

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Few-Shot Classification with Feature Map Reconstruction Networks

https://github.com/Tsingularity/PoseNorm_Fewshot

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Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition

https://github.com/Tsingularity/youtube-8m

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Hierarchical Deep Recurrent Architecture for Video Understanding

https://github.com/TurkuNLP/Multilingual-register-corpora

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Beyond the English Web: Zero-Shot Cross-Lingual and Lightweight Monolingual Classification of Registers

https://github.com/Tuyki/TT_RNN

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Tensor-Train Recurrent Neural Networks for Video Classification

https://github.com/UBCDingXin/cGAN-based_KD

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Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression

https://github.com/UBS-IB/bayesian_tree

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A Bayesian Decision Tree Algorithm

https://github.com/UCA-Datalab/better_nilm

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NILM as a regression versus classification problem: the importance of thresholding

https://github.com/UCLA-StarAI/LogisticCircuit

공식 코드

Learning Logistic Circuits

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