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General Classification

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하위 태스크

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평가표

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보존된 평가 기록

19

코드

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

https://github.com/crowdflowTUe/stampnet

Categorical Reparameterization with Gumbel-Softmax

https://github.com/crystina-z/CEDR_tpu

CEDR: Contextualized Embeddings for Document Ranking

https://github.com/cryu854/ArbitraryStyle

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/cryu854/ArbitraryStyle-tfjs

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/cs-chan/Artwork-Synthesis

Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature

https://github.com/csebuetnlp/xl-sum

Bag of Tricks for Efficient Text Classification

https://github.com/csliuwei/Emotion_MI

MINE: Mutual Information Neural Estimation

https://github.com/csmiler/tf-faster-rcnn-cpu

An Implementation of Faster RCNN with Study for Region Sampling

https://github.com/cstorm125/thai2fit

Universal Language Model Fine-tuning for Text Classification

https://github.com/csyanbin/MAML-Pytorch-Multi-GPUs

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

https://github.com/csyanbin/TPN

Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning

https://github.com/ctuning/ck-mxnet

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

https://github.com/cuge1995/PointCutMix

PointCutMix: Regularization Strategy for Point Cloud Classification

https://github.com/cuguilke/Treelogy

Treelogy: A Novel Tree Classifier Utilizing Deep and Hand-crafted Representations

https://github.com/currentsapi/extractnet

Bag of Tricks for Efficient Text Classification

https://github.com/currentsapi/fastlangid

Bag of Tricks for Efficient Text Classification

https://github.com/currentslab/extractnet

Bag of Tricks for Efficient Text Classification

https://github.com/cvcode18/imbalanced_learning

Deep Imbalanced Attribute Classification using Visual Attention Aggregation

https://github.com/cvjena/cs_parts

Classification-Specific Parts for Improving Fine-Grained Visual Categorization

https://github.com/cvl-umass/ssl-evaluation

A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification

https://github.com/cvondrick/soundnet

SoundNet: Learning Sound Representations from Unlabeled Video

https://github.com/cybermonic/cage-4-submission

Semi-Supervised Classification with Graph Convolutional Networks

https://github.com/cyctrung/DPnet

Is Heuristic Sampling Necessary in Training Deep Object Detectors?

https://github.com/cyh1112/GraphNormalization

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

https://github.com/cylo/uni10-lamps

Supervised Learning with Quantum-Inspired Tensor Networks

https://github.com/cyprienruffino/CTCModel

CTCModel: a Keras Model for Connectionist Temporal Classification

https://github.com/cyrille-feu/Discrete-Wavelet-Transform-Features-in-the-Prediction-of-Epileptic-Seizures

A Novel Use of Discrete Wavelet Transform Features in the Prediction of Epileptic Seizures from EEG Data

https://github.com/cyvius96/prototypical-network-pytorch

Prototypical Networks for Few-shot Learning

https://github.com/czgdp1807/bayesiandl

Weight Uncertainty in Neural Networks

https://github.com/d3m-research-group/odtlearn

Strong Optimal Classification Trees

https://github.com/da-moon/classifiers-monorepo

A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data

https://github.com/dailab/maxi-xai-lib

Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives

https://github.com/daim-cell/Rat_project

Explainable AI for Classification using Probabilistic Logic Inference

https://github.com/daimaohui/ATEC-TASK2-Rank2

GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks

https://github.com/daimonae/Fundus-Image-Classification

Very Deep Convolutional Networks for Large-Scale Image Recognition

https://github.com/daisukelab/sound-clf-pytorch

CNN Architectures for Large-Scale Audio Classification

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