Pytorch version of VidLanKD: Improving Language Understanding viaVideo-Distilled Knowledge Transfer

Related tags

Deep LearningVidLanKD
Overview

VidLanKD

Implementation of VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer by Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal.

Setup

# Create python environment (optional)
conda create -n vidlankd python=3.7

# Install python dependencies
pip install -r requirements.txt

To speed up the training, we use mixed precision with Apex.

git clone https://github.com/NVIDIA/apex
cd apex
pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./

Dataset Preparation

Text Dataset

We provide scripts to obtain datasets "wiki103" and "wiki".

Wiki103, a seleted subset of English Wikipedia.

bash data/wiki103/get_data_cased.bash

English Wikipedia. The scripts are modified from XLM.

bash data/wiki/get_data_cased.bash en

Video Dataset

Howto100m where you can download official captions and videos features.

Video Features Extraction Code

To be updated.

  • We extracted our 2D-level video features with ResNet152 from torchvision.
  • We extracted our 3D-level video features with 3D-RexNext.

Downstream tasks

GLUE dataset

Download dataset

python download_glue_data.py --data_dir data/glue --tasks all

Training

Teacher model pre-training

# bash scripts/small_vlm_howto100m.bash $GPUS #teacher_SNAP_PATH
bash scripts/small_vlm_howto100m.bash 0,1,2,3 howto100m_bert_small_vokenhinge
# bash scripts/base_vlm_howto100m.bash $GPUS #teacher_SNAP_PATH
bash scripts/base_vlm_howto100m.bash 0,1,2,3 howto100m_bert_base_vokenhinge

Knowledge transfer to student model

# bash scripts/small_vlm_wiki103.bash $GPUS #teacher_SNAP_PATH #student_SNAP_PATH
bash scripts/small_vlm_wiki103.bash 0,1,2,3 howto100m_bert_small_vokenhinge/checkpoint-epoch0019 wiki103_bert_small_vokenmmd
# bash scripts/base_vlm_wiki.bash $GPUS #teacher_SNAP_PATH #student_SNAP_PATH
bash scripts/base_vlm_wiki.bash 0,1,2,3 howto100m_bert_base_vokenhinge/checkpoint-epoch0019 wiki_bert_base_vokenmmd

Finetuning on GLUE tasks

# bash scripts/run_glue_at_epoch.bash $GPUS $NumTrainEpochs $SNAP_PATH                        
bash scripts/run_glue_at_epoch.bash 0,1,2,3 3 snap/vlm/wiki103_bert_small_vokenmmd/checkpoint-epoch0019                  

Acknowledgements

Part of the code is built based on vokenization, huggingface transformers, and facebook faiss.

Owner
Zineng Tang
Zineng Tang
[ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.

[ICLR 2021] RAPID: A Simple Approach for Exploration in Reinforcement Learning This is the Tensorflow implementation of ICLR 2021 paper Rank the Episo

Daochen Zha 48 Nov 21, 2022
Real-CUGAN - Real Cascade U-Nets for Anime Image Super Resolution

Real Cascade U-Nets for Anime Image Super Resolution 中文 | English 🔥 Real-CUGAN

tarsin 111 Dec 28, 2022
[CVPR-2021] UnrealPerson: An adaptive pipeline for costless person re-identification

UnrealPerson: An Adaptive Pipeline for Costless Person Re-identification In our paper (arxiv), we propose a novel pipeline, UnrealPerson, that decreas

ZhangTianyu 70 Oct 10, 2022
This is the code of using DQN to play Sekiro .

Update for using DQN to play sekiro 2021.2.2(English Version) This is the code of using DQN to play Sekiro . I am very glad to tell that I have writen

144 Dec 25, 2022
CowHerd is a partially-observed reinforcement learning environment

CowHerd is a partially-observed reinforcement learning environment, where the player walks around an area and is rewarded for milking cows. The cows try to escape and the player can place fences to h

Danijar Hafner 6 Mar 06, 2022
Joint Learning of 3D Shape Retrieval and Deformation, CVPR 2021

Joint Learning of 3D Shape Retrieval and Deformation Joint Learning of 3D Shape Retrieval and Deformation Mikaela Angelina Uy, Vladimir G. Kim, Minhyu

Mikaela Uy 38 Oct 18, 2022
Companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsura et al.

META-RS This is the companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsu

Bosch Research 7 Dec 09, 2022
PyTorch implementation for COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction (CVPR 2021)

Completer: Incomplete Multi-view Clustering via Contrastive Prediction This repo contains the code and data of the following paper accepted by CVPR 20

XLearning Group 72 Dec 07, 2022
Exploiting a Zoo of Checkpoints for Unseen Tasks

Exploiting a Zoo of Checkpoints for Unseen Tasks This repo includes code to reproduce all results in the above Neurips paper, authored by Jiaji Huang,

Baidu Research 8 Sep 06, 2022
Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"

README The code is based on the ILswiss. To run the code, use python run_experiment.py --nosrun -e your YAML file -g gpu id Generally, run_experim

ApexRL 12 Mar 19, 2022
Reimplementation of the paper `Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? (ACL2020)`

Human Attention for Text Classification Re-implementation of the paper Human Attention Maps for Text Classification: Do Humans and Neural Networks Foc

Shunsuke KITADA 15 Dec 13, 2021
[AAAI 2022] Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation

A paper Introduction This is an official release of the paper Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation wit

Jiacheng Wang 14 Dec 08, 2022
Codebase for the Summary Loop paper at ACL2020

Summary Loop This repository contains the code for ACL2020 paper: The Summary Loop: Learning to Write Abstractive Summaries Without Examples. Training

Canny Lab @ The University of California, Berkeley 44 Nov 04, 2022
This code is an unofficial implementation of HiFiSinger.

HiFiSinger This code is an unofficial implementation of HiFiSinger. The algorithm is based on the following papers: Chen, J., Tan, X., Luan, J., Qin,

Heejo You 87 Dec 23, 2022
[ICCV2021] 3DVG-Transformer: Relation Modeling for Visual Grounding on Point Clouds

3DVG-Transformer This repository is for the ICCV 2021 paper "3DVG-Transformer: Relation Modeling for Visual Grounding on Point Clouds" Our method "3DV

22 Dec 11, 2022
Tech Resources for Academic Communities

Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.

Microsoft 2.5k Jan 04, 2023
Tensorboard for pytorch (and chainer, mxnet, numpy, ...)

tensorboardX Write TensorBoard events with simple function call. The current release (v2.3) is tested on anaconda3, with PyTorch 1.8.1 / torchvision 0

Tzu-Wei Huang 7.5k Dec 28, 2022
DeLiGAN - This project is an implementation of the Generative Adversarial Network

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Net

Video Analytics Lab -- IISc 110 Sep 13, 2022
Official implementation of "Robust channel-wise illumination estimation"

This repository provides the official implementation of "Robust channel-wise illumination estimation." accepted in BMVC (2021).

Firas Laakom 4 Nov 08, 2022
Code for the USENIX 2017 paper: kAFL: Hardware-Assisted Feedback Fuzzing for OS Kernels

kAFL: Hardware-Assisted Feedback Fuzzing for OS Kernels Blazing fast x86-64 VM kernel fuzzing framework with performant VM reloads for Linux, MacOS an

Chair for Sys­tems Se­cu­ri­ty 541 Nov 27, 2022