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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/microsoft/fnl_paper

공식 코드

Initialization and Regularization of Factorized Neural Layers

https://github.com/mostafaelhoushi/tensor-decompositions

공식 코드

Accelerating Training using Tensor Decomposition

https://github.com/mrsfgl/MBTTDA

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Multi-Branch Tensor Network Structure for Tensor-Train Discriminant Analysis

https://github.com/mruffini/Hierarchical-Methods-of-Moments

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Hierarchical Methods of Moments

https://github.com/osmanmalik/td-als-es

공식 코드

More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees

https://github.com/osmanmalik/tns

공식 코드

Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks

https://github.com/pbaghershahi/TGCN

공식 코드

Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition

https://github.com/pdturney/multislice-projection

공식 코드

Empirical Evaluation of Four Tensor Decomposition Algorithms

https://github.com/pfnet-research/einconv

공식 코드

Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks

https://github.com/ravdeep003/conceptDrift

공식 코드

Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition

https://github.com/rballester/ttpca

공식 코드

Visualization of High-dimensional Scalar Functions Using Principal Parameterizations

https://github.com/risingentropy/pfa

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Tensor Decomposition Based Attention Module for Spiking Neural Networks

https://github.com/rucaibox/mpo

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Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models

https://github.com/rucaibox/mpoe

공식 코드

Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models

https://github.com/runshitang/als-tasd-fast-reliable-cp-decomposition

공식 코드

Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence

https://github.com/sergiorozada12/tensor-mc

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Low-Rank Tensors for Multi-Dimensional Markov Models

https://github.com/shihaoshao-gh/ict-decomposition-and-equivariant-bases

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High-Rank Irreducible Cartesian Tensor Decomposition and Bases of Equivariant Spaces

https://github.com/sienna-wxy/kdgene

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Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction

https://github.com/sjtu-deepvisionlab/flora

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FLoRA: Low-Rank Core Space for N-dimension

https://github.com/sustcsonglin/tn-lcfrs

공식 코드

Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars

https://github.com/szhangtju/The-compression-of-Transformer

공식 코드

A Tensorized Transformer for Language Modeling

https://github.com/tansq/std-net

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STD-NET: Search of Image Steganalytic Deep-learning Architecture via Hierarchical Tensor Decomposition

https://github.com/taozerui/gptd

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Efficient Nonparametric Tensor Decomposition for Binary and Count Data

https://github.com/terra-quantum-public/tqcompressedgpt2

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TQCompressor: improving tensor decomposition methods in neural networks via permutations

https://github.com/tianshuichen/Wavelet-like-Auto-Encoder

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Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks

https://github.com/tnbar/tednet

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Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition

https://github.com/tranhungnghiep/meim-kge

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MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction

https://github.com/twinkle0331/xcompression

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Exploring Extreme Parameter Compression for Pre-trained Language Models

https://github.com/uriamorp/mprod_package

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Dimensionality Reduction of Longitudinal 'Omics Data using Modern Tensor Factorization

https://github.com/weifeng-yang/abpl

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An Accelerated Block Proximal Framework with Adaptive Momentum for Nonconvex and Nonsmooth Optimization

https://github.com/weilvnju/jpltd

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Joint Projection Learning and Tensor Decomposition Based Incomplete Multi-view Clustering

https://github.com/wentao-xu/kge-cl

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KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings

https://github.com/will-consagra/emfda

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Efficient Multidimensional Functional Data Analysis Using Marginal Product Basis Systems

https://github.com/wyn430/CPAC-CNN

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Tensor decomposition to Compress Convolutional Layers in Deep Learning

https://github.com/xiaxin1998/od-rec

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On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation

https://github.com/ycq091044/atd

공식 코드

ATD: Augmenting CP Tensor Decomposition by Self Supervision

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