Feedback is important: response-aware feedback mechanism for background based conversation

Last update: Sep 29, 2022

Related tags

Deep Learning RFM

Overview

RFM

The code for the paper: "Feedback is important: response-aware feedback mechanism for background based conversation."

Requirements

python 3.7
pytorch 1.7.0

Datasets

Download the raw data version of Holl-E, and put the raw data files (train_data.json, dev_data.json and test_data.json）in the directory /dataset/raw_data.
Then, run the preprocessing script:

python Prepare_holl.py

Download the glove.6B.300d.txt and put it in /dataset/oracle and /dataset/mixed.

Run training, validation, and testing

To train or test your model, run:

python -m torch.distributed.launch --nproc_per_node=num_GPU Run_RFM.py --mode='train/test'

Addition

More descriptions will be released in a few days...

Owner

Jiatao Chen

GitHub Repository

Generative Art Using Neural Visual Grammars and Dual Encoders

Generative Art Using Neural Visual Grammars and Dual Encoders Arnheim 1 The original algorithm from the paper Generative Art Using Neural Visual Gramm

231 Jan 05, 2023

AAAI-22 paper: SimSR: Simple Distance-based State Representationfor Deep Reinforcement Learning

SimSR Code and dataset for the paper SimSR: Simple Distance-based State Representationfor Deep Reinforcement Learning (AAAI-22). Requirements We assum

7 Dec 19, 2022

Research - dataset and code for 2016 paper Learning a Driving Simulator

the people's comma the paper Learning a Driving Simulator the comma.ai driving dataset 7 and a quarter hours of largely highway driving. Enough to tra

4.1k Jan 02, 2023

A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.

torchsynth The fastest synth in the universe. Introduction torchsynth is based upon traditional modular synthesis written in pytorch. It is GPU-option

229 Jan 02, 2023

Official code for paper "Demystifying Local Vision Transformer: Sparse Connectivity, Weight Sharing, and Dynamic Weight"

Demysitifing Local Vision Transformer, arxiv This is the official PyTorch implementation of our paper. We simply replace local self attention by (dyna

138 Dec 28, 2022

A program that can analyze videos according to the weights you select

MaskMonitor A program that can analyze videos according to the weights you select 下載訓練完的 weight檔案執行 MaskDetection.py 內部可更改輸入來源(鏡頭, 影片, 圖片) 以及輸出條件(人

1 Nov 07, 2021

【Arxiv】Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution

SANet Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution Dependencies numpy==1.18.5 scikit_image==0.16.2 torchvision==0.8.1 to

36 Jan 05, 2023

FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective

FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective Official implementation of "FL-WBC: Enhan

26 Nov 28, 2022

PyG (PyTorch Geometric) - A library built upon PyTorch to easily write and train Graph Neural Networks (GNNs)

PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.

16.5k Jan 08, 2023

Retrieval.pytorch - The code we used in [2020 DIGIX]

2 Feb 07, 2022

All-in-one Docker container that allows a user to explore Nautobot in a lab environment.

Nautobot Lab This container is not for production use! Nautobot Lab is an all-in-one Docker container that allows a user to quickly get an instance of

29 Sep 16, 2022

On the adaptation of recurrent neural networks for system identification

On the adaptation of recurrent neural networks for system identification This repository contains the Python code to reproduce the results of the pape

3 Jan 13, 2022

Generating Radiology Reports via Memory-driven Transformer

R2Gen This is the implementation of Generating Radiology Reports via Memory-driven Transformer at EMNLP-2020. Citations If you use or extend our work,

101 Dec 13, 2022

A universal framework for learning timestamp-level representations of time series

TS2Vec This repository contains the official implementation for the paper Learning Timestamp-Level Representations for Time Series with Hierarchical C

284 Dec 30, 2022

MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift

MemStream Implementation of MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift . Siddharth Bhatia, Arjit Jain, Shivi

61 Dec 02, 2022

FluxTraining.jl gives you an endlessly extensible training loop for deep learning

A flexible neural net training library inspired by fast.ai

86 Dec 31, 2022

Implementation of the federated dual coordinate descent (FedDCD) method.

FedDCD.jl Implementation of the federated dual coordinate descent (FedDCD) method. Installation To install, just call Pkg.add("https://github.com/Zhen

6 Sep 21, 2022

Code for Active Learning at The ImageNet Scale.

Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP.

47 Dec 12, 2022

Age and Gender prediction using Keras

cnn_age_gender Age and Gender prediction using Keras Dataset example : Description : UTKFace dataset is a large-scale face dataset with long age span

58 May 03, 2022

Tools for robust generative diffeomorphic slice to volume reconstruction

RGDSVR Tools for Robust Generative Diffeomorphic Slice to Volume Reconstructions (RGDSVR) This repository provides tools to implement the methods in t

0 Oct 29, 2021