AAAI 2022 paper - Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction

Related tags

Deep LearningAT-BMC
Overview

AT-BMC

Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction (AAAI 2022) Paper

Prerequisites

Install packages by referring to pip_reqs.txt

Datasets

  • Movie Reviews (Paper: Pruthi et al. 2020, Weakly- and Semi-supervised Evidence Extraction, Findings of EMNLP)
  • MultiRC (Paper: Khashabi et al. 2018, Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences, NAACL-HLT)

Run

Adv Data Preparation

Please refer to augment_with_mask.py for data preparation. And the data folder contains the final used data.

Training

for seed in `seq 1 1`; do 
    CUDA_VISIBLE_DEVICES=$GPU_ID unbuffer python main.py \
        --data_dir datasets/movie_reviews_with_some_rats_adv \
        --batch_size 4 \
        --learning_rate 2e-5 \
        --max_seq_len 512 \
        --epochs 30 \
        --dataset multi_rc \
        --evaluate_every 10000 \
        --save_extraction_model ${OUTPUT_BASE_DIR}/ \
        --save_prediction_model ${OUTPUT_BASE_DIR}/ \
        --include_label_embedding_features \
        --seed $seed \
        --upper_case \
        --gradient_accumulation_steps 8  | tee -a logs/logs.txt
done;
Owner
Ph.D. student at Harbin Institute of Technology, Shenzhen
Json2Xml tool will help you convert from json COCO format to VOC xml format in Object Detection Problem.

JSON 2 XML All codes assume running from root directory. Please update the sys path at the beginning of the codes before running. Over View Json2Xml t

Nguyễn Trường Lâu 6 Aug 22, 2022
MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data

This repository is the official PyTorch implementation of Meta-Balance. Find the paper on arxiv MetaBalance: High-Performance Neural Networks for Clas

Arpit Bansal 20 Oct 18, 2021
TAPEX: Table Pre-training via Learning a Neural SQL Executor

TAPEX: Table Pre-training via Learning a Neural SQL Executor The official repository which contains the code and pre-trained models for our paper TAPE

Microsoft 157 Dec 28, 2022
A cool little repl-based simulation written in Python

A cool little repl-based simulation written in Python planned to integrate machine-learning into itself to have AI battle to the death before your eye

Em 6 Sep 17, 2022
Finite-temperature variational Monte Carlo calculation of uniform electron gas using neural canonical transformation.

CoulombGas This code implements the neural canonical transformation approach to the thermodynamic properties of uniform electron gas. Building on JAX,

FermiFlow 9 Mar 03, 2022
PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability

PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability PCACE is a new algorithm for ranking neurons in a CNN architecture in order

4 Jan 04, 2022
Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CCT)

Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CCT) Paper, Project Page This repo contains the official implementation of CVPR

Yassine 344 Dec 29, 2022
Code and model benchmarks for "SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology"

NeurIPS 2020 SEVIR Code for paper: SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology Requirement

USAF - MIT Artificial Intelligence Accelerator 46 Dec 15, 2022
1st Solution For ICDAR 2021 Competition on Mathematical Formula Detection

This project releases our 1st place solution on ICDAR 2021 Competition on Mathematical Formula Detection. We implement our solution based on MMDetection, which is an open source object detection tool

yuxzho 94 Dec 25, 2022
HINet: Half Instance Normalization Network for Image Restoration

HINet: Half Instance Normalization Network for Image Restoration Liangyu Chen, Xin Lu, Jie Zhang, Xiaojie Chu, Chengpeng Chen Paper: https://arxiv.org

303 Dec 31, 2022
Measuring Coding Challenge Competence With APPS

Measuring Coding Challenge Competence With APPS This is the repository for Measuring Coding Challenge Competence With APPS by Dan Hendrycks*, Steven B

Dan Hendrycks 218 Dec 27, 2022
RaftMLP: How Much Can Be Done Without Attention and with Less Spatial Locality?

RaftMLP RaftMLP: How Much Can Be Done Without Attention and with Less Spatial Locality? By Yuki Tatsunami and Masato Taki (Rikkyo University) [arxiv]

Okojo 20 Aug 31, 2022
"SOLQ: Segmenting Objects by Learning Queries", SOLQ is an end-to-end instance segmentation framework with Transformer.

SOLQ: Segmenting Objects by Learning Queries This repository is an official implementation of the paper SOLQ: Segmenting Objects by Learning Queries.

MEGVII Research 179 Jan 02, 2023
Api for getting bin info and getting encrypted card details for adyen.

Bin Info And Adyen Cse Enc Python api for getting bin info and getting encrypted

Roldex Stark 8 Dec 30, 2022
[ICCV 2021 Oral] SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer

This repository contains the source code for the paper SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer (ICCV 2021 Oral). The project page is here.

AllenXiang 65 Dec 26, 2022
A faster pytorch implementation of faster r-cnn

A Faster Pytorch Implementation of Faster R-CNN Write at the beginning [05/29/2020] This repo was initaited about two years ago, developed as the firs

Jianwei Yang 7.1k Jan 01, 2023
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021) PyTorch implementation of SnapMix | paper Method Overview Cite

DavidHuang 126 Dec 30, 2022
Iowa Project - My second project done at General Assembly, focused on feature engineering and understanding Linear Regression as a concept

Project 2 - Ames Housing Data and Kaggle Challenge PROBLEM STATEMENT Inferring or Predicting? What's more valuable for a housing model? When creating

Adam Muhammad Klesc 1 Jan 03, 2022
Creating multimodal multitask models

Fusion Brain Challenge The English version of the document can be found here. Обновления 01.11 Мы выкладываем пример данных, аналогичных private test

Sber AI 43 Nov 28, 2022
Oriented Object Detection: Oriented RepPoints + Swin Transformer/ReResNet

Oriented RepPoints for Aerial Object Detection The code for the implementation of “Oriented RepPoints + Swin Transformer/ReResNet”. Introduction Based

96 Dec 13, 2022