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

Last update: Nov 22, 2022

Related tags

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

UMT is a unified and flexible framework which can handle different input modality combinations, and output video moment retrieval and/or highlight detection results.

Unified Multi-modal Transformers This repository maintains the official implementation of the paper UMT: Unified Multi-modal Transformers for Joint Vi

84 Jan 04, 2023

OCR Streamlit App is used to extract text from images using python's easyocr, pytorch and streamlit packages

OCR-Streamlit-App OCR Streamlit App is used to extract text from images using python's easyocr, pytorch and streamlit packages OCR app gets an image a

5 Apr 05, 2022

"Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices", official implementation

Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices This repository contains the official PyTorch implemen

21 Oct 18, 2022

PyTorch Code for NeurIPS 2021 paper Anti-Backdoor Learning: Training Clean Models on Poisoned Data.

Anti-Backdoor Learning PyTorch Code for NeurIPS 2021 paper Anti-Backdoor Learning: Training Clean Models on Poisoned Data. The Anti-Backdoor Learning

51 Dec 07, 2022

Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction

Welcome to Barlow Barlow is a tool for identifying the failure modes for a given neural network. To achieve this, Barlow first creates a group of imag

33 Dec 05, 2022

Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021

ATISS: Autoregressive Transformers for Indoor Scene Synthesis This repository contains the code that accompanies our paper ATISS: Autoregressive Trans

138 Dec 22, 2022

We propose a new method for effective shadow removal by regarding it as an exposure fusion problem.

Auto-exposure fusion for single-image shadow removal We propose a new method for effective shadow removal by regarding it as an exposure fusion proble

146 Dec 31, 2022

A full-fledged version of Pix2Seq

Stable-Pix2Seq A full-fledged version of Pix2Seq What it is. This is a full-fledged version of Pix2Seq. Compared with unofficial-pix2seq, stable-pix2s

205 Dec 27, 2022

PyTorch implementation of our ICCV 2021 paper Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer.

Unsupervised_IEPGAN This is the PyTorch implementation of our ICCV 2021 paper Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer. Ha

25 Oct 26, 2022

Posterior predictive distributions quantify uncertainties ignored by point estimates.

177 Dec 06, 2022

Single Image Super-Resolution (SISR) with SRResNet, EDSR and SRGAN

Single Image Super-Resolution (SISR) with SRResNet, EDSR and SRGAN Introduction Image super-resolution (SR) is the process of recovering high-resoluti

8 Apr 15, 2022

Official implementation of Unfolded Deep Kernel Estimation for Blind Image Super-resolution.

Unfolded Deep Kernel Estimation for Blind Image Super-resolution Hongyi Zheng, Hongwei Yong, Lei Zhang, "Unfolded Deep Kernel Estimation for Blind Ima

15 Dec 26, 2022

A repo for Causal Imitation Learning under Temporally Correlated Noise

CausIL A repo for Causal Imitation Learning under Temporally Correlated Noise. Running Experiments To re-train an expert, run: python experts/train_ex

5 Nov 01, 2022

Camera ready code repo for the NeuRIPS 2021 paper: "Impression learning: Online representation learning with synaptic plasticity".

Impression-Learning-Camera-Ready Camera ready code repo for the NeuRIPS 2021 paper: "Impression learning: Online representation learning with synaptic

2 Feb 09, 2022

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

Related tags

Overview

OD-Rec

Owner

Xin Xia

UMT is a unified and flexible framework which can handle different input modality combinations, and output video moment retrieval and/or highlight detection results.

OCR Streamlit App is used to extract text from images using python's easyocr, pytorch and streamlit packages

"Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices", official implementation

PyTorch Code for NeurIPS 2021 paper Anti-Backdoor Learning: Training Clean Models on Poisoned Data.

Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction

Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021

We propose a new method for effective shadow removal by regarding it as an exposure fusion problem.

A full-fledged version of Pix2Seq

PyTorch implementation of our ICCV 2021 paper Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer.

Posterior predictive distributions quantify uncertainties ignored by point estimates.

Single Image Super-Resolution (SISR) with SRResNet, EDSR and SRGAN

Official implementation of Unfolded Deep Kernel Estimation for Blind Image Super-resolution.

A repo for Causal Imitation Learning under Temporally Correlated Noise

Camera ready code repo for the NeuRIPS 2021 paper: "Impression learning: Online representation learning with synaptic plasticity".

Job-Recommend-Competition - Vectorwise Interpretable Attentions for Multimodal Tabular Data

git《Learning Pairwise Inter-Plane Relations for Piecewise Planar Reconstruction》(ECCV 2020) GitHub:

Phylogeny Partners

Let Python optimize the best stop loss and take profits for your TradingView strategy.

PyTorch implementation of paper "StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement" (ICCV 2021 Oral)

Garbage classification using structure data.