neurips topic

[NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows to finetune the explainability maps of Vision Transformers to e...

hila-chefer

The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classif...

12wang3

PyTorch implementation of the descriptor DEAL presented at NeurIPS 2021 "Extracting Deformation-Aware Local Features by Learning to Deform".

verlab

NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.

shlizee

(NeurIPS 2020) Meta-Consolidation for Continual Learning

JosephKJ

Code for paper "Adaptively Aligned Image Captioning via Adaptive Attention Time". NeurIPS 2019

husthuaan

Code for our NeurIPS 2022 paper

kach

NIPS 2018 "Invertibility of Convolutional Generative Networks from Partial Measurements"

fangchangma

This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.

Little-Podi

This repository is a paper digest of Transformer-related approaches in visual tracking tasks.

Little-Podi