Code and data accompanying our SVRHM'21 paper.

Last update: Nov 17, 2021

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Deep Learning svrhm21_RNN_explain

Overview

Code and data accompanying our SVRHM'21 paper.

Requires tensorflow 1.13, python 3.7, scikit-learn, and pytorch 1.6.0 to be installed.

Python scripts included:

RNN_gen.py can be used to train the RNNs.
RNN_analyse_reprs_recurrence.py can be used to train linear classifiers for auxiliary variables and category decoding, on the layer activations and recurrent flows
RNN_perturb.py can be used to perform the perturbation analyses.

Two pretrained RNNs can be downloaded from https://osf.io/pf4u5/ to be assessed using the jupyter notebook 'SVRHM21_results.ipynb'. Alternatively, you can train your own RNN and assess it.

Owner

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Code and data accompanying our SVRHM'21 paper.

Related tags

Overview

Owner

COVID-VIT: Classification of Covid-19 from CT chest images based on vision transformer models

General-purpose program synthesiser

Human Pose estimation with TensorFlow framework

Decensoring Hentai with Deep Neural Networks. Formerly named DeepMindBreak.

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

Developed an optimized algorithm which finds the most optimal path between 2 points in a 3D Maze using various AI search techniques like BFS, DFS, UCS, Greedy BFS and A*

MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving

A unified 3D Transformer Pipeline for visual synthesis

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

Python interface for SmartRF Sniffer 2 Firmware

Blind visual quality assessment on 360° Video based on progressive learning

Rotated Box Is Back : Accurate Box Proposal Network for Scene Text Detection

This code is for our paper "VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers"

Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance

Codebase for BMVC 2021 paper "Text Based Person Search with Limited Data"

Implementation of Pooling by Sliced-Wasserstein Embedding (NeurIPS 2021)

Implementation of ICLR 2020 paper "Revisiting Self-Training for Neural Sequence Generation"

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

TextBPN Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection

The ICS Chat System project for NYU Shanghai Fall 2021