Pinned Repositories
academic-kickstart
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
AVA-dataset-downloader
You may need these scripts to download AVA images from website.
bert_score
BERT score for text generation
BottleSum
Classification-of-digits-MNIST-
CNN-VIS
datasheet-for-dataset-template
Template for datasheet for datasets
illustration2vec
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.
Label-embeddings-in-image-classification
Convolutional Neural Networks (CNNs) are being widely used for various tasks in Computer Vision. We focus on the task of image classification particularly using CNNs with more focus on the relation or similarity between class labels. The similarity between labels is judged using label word embeddings and incorporated into the loss layer. We propose that shallower networks be learnt with more complex and structured losses, in order to gain from shorter training time and equivalent complexity. We train two variants of CNNs with multiple architectures , all limited to a maximum of ten convolution layers to obtain an accuracy of 93.27% on the Fashion-MNIST dataset and 86.40% on the CIFAR 10 dataset. We further probe the adversarial robustness of the model as well the classspecific behavior by visualizing the class confusion matrix.We also show some preliminary results towards extending a trained variant to zero-shot learning.
pyAudioAnalysis
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
Aparna-B's Repositories
Aparna-B/pyAudioAnalysis
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
Aparna-B/academic-kickstart
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
Aparna-B/AVA-dataset-downloader
You may need these scripts to download AVA images from website.
Aparna-B/bert_score
BERT score for text generation
Aparna-B/BottleSum
Aparna-B/Classification-of-digits-MNIST-
Aparna-B/CNN-VIS
Aparna-B/datasheet-for-dataset-template
Template for datasheet for datasets
Aparna-B/illustration2vec
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.
Aparna-B/Label-embeddings-in-image-classification
Convolutional Neural Networks (CNNs) are being widely used for various tasks in Computer Vision. We focus on the task of image classification particularly using CNNs with more focus on the relation or similarity between class labels. The similarity between labels is judged using label word embeddings and incorporated into the loss layer. We propose that shallower networks be learnt with more complex and structured losses, in order to gain from shorter training time and equivalent complexity. We train two variants of CNNs with multiple architectures , all limited to a maximum of ten convolution layers to obtain an accuracy of 93.27% on the Fashion-MNIST dataset and 86.40% on the CIFAR 10 dataset. We further probe the adversarial robustness of the model as well the classspecific behavior by visualizing the class confusion matrix.We also show some preliminary results towards extending a trained variant to zero-shot learning.
Aparna-B/deform_conv_pytorch
PyTorch Implementation of Deformable Convolution
Aparna-B/DeformableConv
Aparna-B/diachronic-sense-modeling
Aparna-B/FairRankingRelevance
An examination of the role of relevance in fair exposure-based ranking
Aparna-B/German-Credit-classification
Aparna-B/HurtfulWords
Quantifying biases in BERT embeddings pretrained on MIMIC-III clinical notes
Aparna-B/JudgingNorms
An examination of data labeling practices for normative applications.
Aparna-B/lcifr
Learning Certified Individually Fair Representations
Aparna-B/lime-experiments
Code for all experiments.
Aparna-B/machine-learning-scripts
Collection of scripts and tools related to machine learning
Aparna-B/model-card-template
Template for model cards
Aparna-B/NeuroNER
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
Aparna-B/pvd_steganography
Python Implementation of Pixel Value Differencing based Steganography (LSB) - PNG Cover Images
Aparna-B/pygcn
Graph Convolutional Networks in PyTorch
Aparna-B/pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
Aparna-B/pytorch-yolo2
Convert https://pjreddie.com/darknet/yolo/ into pytorch
Aparna-B/researcher
A jekyll based resume template
Aparna-B/transformer_rankers
A library to conduct ranking experiments with transformers.