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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Code for CVPR2021 paper "Learning Salient Boundary Feature for Anchor-free Temporal Action Localization"

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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

Code for EMNLP2021 paper "Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training"

The official PyTorch implementation of Curriculum by Smoothing (NeurIPS 2020, Spotlight).

BESS: Balanced Evolutionary Semi-Stacking for Disease Detection via Partially Labeled Imbalanced Tongue Data

Evaluation toolkit of the informative tracking benchmark comprising 9 scenarios, 180 diverse videos, and new challenges.

DeepLab2: A TensorFlow Library for Deep Labeling

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

Repo for the ACMMM20 submission: "Personalized breath based biometric authentication with wearable multimodality".

Code for CVPR2021 paper "Learning Salient Boundary Feature for Anchor-free Temporal Action Localization"

To prepare an image processing model to classify the type of disaster based on the image dataset

Face recognition. Redefined.

Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"

Official PyTorch implementation of "Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks" (AAAI 2022)

Parallel Latent Tree-Induction for Faster Sequence Encoding

img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation

Python PID Tuner - Makes a model of the System from a Process Reaction Curve and calculates PID Gains

Deepfake Scanner by Deepware.

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

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