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Tensor Decomposition

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

https://github.com/yf-li15/DisenHCN

공식 코드

DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction

https://github.com/yifan8/moment_estimation_incomplete_tensor_decomposition

공식 코드

Moment Estimation for Nonparametric Mixture Models Through Implicit Tensor Decomposition

https://github.com/yoshall/DeepLGR

공식 코드

Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics

https://github.com/youlinchen/TCCA

공식 코드

Tensor Canonical Correlation Analysis with Convergence and Statistical Guarantees

https://github.com/yu-zhewen/mixed-td

공식 코드

Mixed-TD: Efficient Neural Network Accelerator with Layer-Specific Tensor Decomposition

https://github.com/yuhao318/atomic_feature_mimicking

공식 코드

Unified Low-rank Compression Framework for Click-through Rate Prediction

https://github.com/zerg-overmind/strivec

공식 코드

Strivec: Sparse Tri-Vector Radiance Fields

https://github.com/zjj20212035/stpca

공식 코드

Sparse Tensor PCA via Tensor Decomposition for Unsupervised Feature Selection

https://gitlab.com/tensors/genten

공식 코드

Streaming Generalized Canonical Polyadic Tensor Decompositions

https://gitlab.com/tgkolda/gaussian_mixture_experiments

공식 코드

Tensor Moments of Gaussian Mixture Models: Theory and Applications

https://gitlab.inria.fr/amarmore/musicntd

공식 코드

Uncovering audio patterns in music with Nonnegative Tucker Decomposition for structural segmentation

https://gitlab.inria.fr/amarmore/nonnegative-factorization

공식 코드

Nonnegative Tucker Decomposition with Beta-divergence for Music Structure Analysis of Audio Signals

https://gitlab.inria.fr/hsebia/swotted

공식 코드

SWoTTeD: An Extension of Tensor Decomposition to Temporal Phenotyping

https://github.com/Aldiom/nn_benchmark

Convolutional neural networks with low-rank regularization

https://github.com/DavorPenzar/tlp

Temporal Link Prediction using Matrix and Tensor Factorizations

https://github.com/Graphiiz/low-rank-factorization

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

https://github.com/Gyiming/MobileSLAM

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

https://github.com/HettyPatel/TRAWL

TRAWL: Tensor Reduced and Approximated Weights for Large Language Models

https://github.com/Jasmine216/Fine-grained-image-classification-Dog-Breeds

Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition

https://github.com/LTH14/FSKD

Few Sample Knowledge Distillation for Efficient Network Compression

https://github.com/MaxenceGiraud/TensorTemporalKG

Tucker decomposition-based Temporal Knowledge Graph Completion

https://github.com/MindSpore-scientific-2/code-8/tree/main/rand_conv-master

Understanding Composition of Word Embeddings via Tensor Decomposition

https://github.com/Oliver-jiang/Tensor-decomposition-pytorch

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

https://github.com/SKorablyov/MaxProblem

When Are Nonconvex Problems Not Scary?

https://github.com/SKorablyov/Pranam

When Are Nonconvex Problems Not Scary?

https://github.com/TJUIRLAB/AAAI19-TSLM

A Generalized Language Model in Tensor Space

https://github.com/ant-research/parameter_inference_efficient_pie

PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning

https://github.com/baoyujing/NET3

Network of Tensor Time Series

https://github.com/bonaldli/WDGTC

Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction

https://github.com/cemuyuk/FiPS

Learning Parameter Sharing with Tensor Decompositions and Sparsity

https://github.com/ddfabbro/CNN_CPD

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

https://github.com/ddfabbro/caffe-cp-decomposition

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

https://github.com/ddfabbro/cp-decomposition

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

https://github.com/facebookresearch/ssl-relation-prediction

Canonical Tensor Decomposition for Knowledge Base Completion

https://github.com/jacobgil/pytorch-tensor-decompositions

Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition

https://github.com/jameschapman19/cca_zoo

Deep Tensor CCA for Multi-view Learning

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