Papers with Code 아카이브

Supervised dimensionality reduction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 0
보존된 평가 기록: 0

코드

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

https://github.com/SMART-Research/leaffeatures_paper

공식 코드

Computer-aided Interpretable Features for Leaf Image Classification

https://github.com/ZhenhuaShi/SDSPCAAN

공식 코드

Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction

https://github.com/aitor-martinez-seras/ood_in_object_detection

공식 코드

On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data

https://github.com/bghojogh/Affective-Manifold

공식 코드

Affective Manifolds: Modeling Machine's Mind to Like, Dislike, Enjoy, Suffer, Worry, Fear, and Feel Like A Human

https://github.com/bghojogh/Gravitational-Dimensionality-Reduction

공식 코드

Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General Relativity

https://github.com/blei-lab/causal-text-embeddings

공식 코드

Adapting Text Embeddings for Causal Inference

https://github.com/dannyzx/gaussian-rbfnn

공식 코드

Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks

https://github.com/dannyzx/grbf-nns

공식 코드

Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks

https://github.com/dherrera1911/sqfa

공식 코드

Supervised Quadratic Feature Analysis: Information Geometry Approach for Dimensionality Reduction

https://github.com/edahelsinki/slisemap

공식 코드

SLISEMAP: Supervised dimensionality reduction through local explanations

https://github.com/francescodisalvo05/wann-noisy-labels

공식 코드

An Embedding is Worth a Thousand Noisy Labels

https://github.com/johnnellas/csae

공식 코드

Supervised Dimensionality Reduction and Image Classification Utilizing Convolutional Autoencoders

https://github.com/molnsona/blossom

공식 코드

Scalable semi-supervised dimensionality reduction with GPU-accelerated EmbedSOM

https://github.com/oozdenizci/MMIDimReduction

공식 코드

Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks

https://github.com/passalis/sef

공식 코드

Dimensionality Reduction using Similarity-induced Embeddings

https://github.com/vveitch/causal-text-embeddings-tf2

공식 코드

Adapting Text Embeddings for Causal Inference

https://github.com/ymlasu/camel

공식 코드

Curvature Augmented Manifold Embedding and Learning

https://gitlab.com/polavieja_lab/cnn-lda

공식 코드

Supervised dimensionality reduction by a Linear Discriminant Analysis on pre-trained CNN features

https://github.com/amaiya/causalnlp

Adapting Text Embeddings for Causal Inference

https://github.com/lightonai/supervised-random-projections

SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections

https://github.com/neurodata/LOL

Supervised Dimensionality Reduction for Big Data

https://github.com/neurodata/lollipop

Supervised Dimensionality Reduction for Big Data

https://github.com/rpryzant/causal-bert-pytorch

Adapting Text Embeddings for Causal Inference

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