Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'

Last update: Nov 22, 2022

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Overview

OD-Rec

Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'

Paper, saved teacher models and Android Studio Project are available at Dropbox: https://www.dropbox.com/sh/g4mgdaezr8uqgic/AABpUxvY3_407D-0UNuEzOAMa?dl=0

Environments: Python 3.7, Pytorch 1.6.0, Android Studio 11.0.11, Pytorch Mobile.

Codes are based on RecBole (https://github.com/RUCAIBox/RecBole) and Pytorch Mobile Demo (https://github.com/pytorch/android-demo-app)

Steps to run models on Android Studio:

(1) Run mobile.py to save pytorch model into Android Studio.

(2) Select virtual device in Android Studio. (Google Pixel 2 API 29)

Owner

Xin Xia

PhD Candidate in The University of Queensland

GitHub Repository

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Codes for SIGIR'22 Paper 'On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation'

Related tags

Overview

OD-Rec

Owner

Xin Xia

Face Detection and Alignment using Multi-task Cascaded Convolutional Networks (MTCNN)

Converting CPT to bert form for use

tree-math: mathematical operations for JAX pytrees

GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021

Using some basic methods to show linkages and transformations of robotic arms

Code for the paper "Asymptotics of ℓ2 Regularized Network Embeddings"

HyperLib: Deep learning in the Hyperbolic space

Adversarial-Information-Bottleneck - Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck (NeurIPS21)

OoD Minimum Anomaly Score GAN - Code for the Paper 'OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary'

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

Convnext-tf - Unofficial tensorflow keras implementation of ConvNeXt

Orthogonal Over-Parameterized Training

The official repository for "Score Transformer: Generating Musical Scores from Note-level Representation" (MMAsia '21)

Graph Analysis From Scratch

TLXZoo - Pre-trained models based on TensorLayerX

Supplementary materials for ISMIR 2021 LBD paper "Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes"

Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity

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