Classification with PyTorch.

Active object localization framework incorporating the bio-plausible mechanisms of foveation and saccades for improved and resilient weakly supervised object localization

Matplotlib styles for scientific plotting

Accepted at ICML 2024 Spotlight. This code is the official implementation for the paper, "Memorization Through the Lens of Curvature of Loss Function Around Samples"

Accepted at ICML 2024. This is the offical implementation for the paper "Unveiling Privacy, Memorization, and Input Curvature Links"

This is the offical implementation for the paper "Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning" TMLR 2024

PyTorch original implementation of "Unsupervised Question Decomposition for Question Answering"

[Verifix] - Post-Training Correction to Improve Label Noise Robustness with Verified Samples

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

A PyTorch reimplementation of bottom-up-attention models

Supporting code for ReCEval paper

[TMLR] CoDeC: Communication-Efficient Decentralized Continual Learning

This is a framework built on top of pytorch to make machine learning training and inference tasks easier. Along with that it also enables easy dataset and network instantiations, visualize boundar…

[Label Noise Robustness-PyTorch]- This repository implements different approaches for label noise robustness on WebVision Dataset (real world noisy dataset).

[Deep Unlearning-PyTorch] Class Forgetting as in paper "Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetting"

DUB Sparsity for Crossbars

Convert Caffe models to PyTorch

Strong baseline for visual question answering

Pytorch implementation of VQA using Stacked Attention Networks: Multimodal architecture for image and question input, using CNN and LSTM, with stacked attention layer for improved accuracy (54.82%)…

Bilinear attention networks for visual question answering

A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.

Code for NIPS 2018 paper, "Chain of Reasoning for Visual Question Answering"

Code for NIPS 2018 paper, "Chain of Reasoning for Visual Question Answering"