Papers with Code 아카이브

General Classification

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평가표

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보존된 평가 기록

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코드

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

https://github.com/Megvii-BaseDetection/DisAlign

공식 코드

Distribution Alignment: A Unified Framework for Long-tail Visual Recognition

https://github.com/MegviiDetection/video_analyst

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SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines

https://github.com/Meituan-AutoML/CPVT

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Conditional Positional Encodings for Vision Transformers

https://github.com/MemoriesJ/KAMG

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Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs

https://github.com/Mewtwo/Targeted-Self-Supervision

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Targeted Self Supervision for Classification on a Small COVID-19 CT Scan Dataset

https://github.com/MichaelAzmy/ambiguous-dbwd

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Matching Entities Across Different Knowledge Graphs with Graph Embeddings

https://github.com/MichealAbaho/Label-Context-Aware-Attention-Model

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Detect and Classify -- Joint Span Detection and Classification for Health Outcomes

https://github.com/MichiganCOG/M-PACT

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M-PACT: An Open Source Platform for Repeatable Activity Classification Research

https://github.com/Microsoft/EdgeML

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DROCC: Deep Robust One-Class Classification

https://github.com/Microsoft/graph-partition-neural-network-samples

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Graph Partition Neural Networks for Semi-Supervised Classification

https://github.com/MihawkHu/DCASE2020_task1

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Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation

https://github.com/MingyeXu/GS-Net

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Geometry Sharing Network for 3D Point Cloud Classification and Segmentation

https://github.com/MohsenFayyaz89/T3D

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Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification

https://github.com/MrShoenel/git-density

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Using Source Code Density to Improve the Accuracy of Automatic Commit Classification into Maintenance Activities

https://github.com/MrtnMndt/Rethinking_CNN_Layerwise_Feature_Amounts

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Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures

https://github.com/MrtnMndt/meta-learning-CODEBRIM

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Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset

https://github.com/MungoMeng/Spiking-Inception

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High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature Learning

https://github.com/MurathanKurfali/multilingual_IDRC

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Zero-shot transfer for implicit discourse relation classification

https://github.com/Museau/Rule-Mining

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Rule-Mining based classification: a benchmark study

https://github.com/Muzammal-Naseer/NRP

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A Self-supervised Approach for Adversarial Robustness

https://github.com/MyWorkShop/Convolutional-Neural-Networks-in-Convolution

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Convolutional Neural Networks In Convolution

https://github.com/MysteryVaibhav/fake_news_semantics

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Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification

https://github.com/N-Almarwani/DCT_Sentence_Embedding

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Efficient Sentence Embedding using Discrete Cosine Transform

https://github.com/NUST-Machine-Intelligence-Laboratory/dmbfgvr

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Data-driven Meta-set Based Fine-Grained Visual Classification

https://github.com/NVIDIA/partialconv

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Partial Convolution based Padding

https://github.com/Nandan91/ULSAM

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ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks

https://github.com/NellyElsayed/GRU-FCN-model-for-univariate-time-series-classification

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Deep Gated Recurrent and Convolutional Network Hybrid Model for Univariate Time Series Classification

https://github.com/Networks-Learning/classification-under-assistance

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Classification Under Human Assistance

https://github.com/Neural-Space/indic-transformers

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Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages

https://github.com/NeuroSyd/Epileptic-Seizure-Classification

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Epileptic Seizure Classification with Symmetric and Hybrid Bilinear Models

https://github.com/Nicholasli1995/VisualizingNDF

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Visualizing the decision-making process in deep neural decision forest

https://github.com/Ninarehm/Fairness

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Statistical Equity: A Fairness Classification Objective

https://github.com/Noahs-ARK/soft_patterns

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SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines

https://github.com/NonvolatileMemory/AAAI_2019_EXAM

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Explicit Interaction Model towards Text Classification

https://github.com/OSU-slatelab/vp-pairwise

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Handling Class Imbalance in Low-Resource Dialogue Systems by Combining Few-Shot Classification and Interpolation

https://github.com/OctoberChang/X-Transformer

공식 코드

Taming Pretrained Transformers for Extreme Multi-label Text Classification

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.