neurips

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

Official implementation of CATs

[NeurIPS 2019] Deep Set Prediction Networks

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

Machine Learning Research

Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"

Official implementation of NeurIPS 2021 paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"

Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)

This is the code repo of our NeurIPS2019 work that proposes novel passport-based DNN ownership verification schemes, i.e. we embed passport layer into various deep learning architectures (e.g. AlexNet, ResNet) for Intellectual Property Right (IPR) protection.

Complete download for papers in various top conferences

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

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification".

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

Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

(NeurIPS 2020) Meta-Consolidation for Continual Learning

Code for paper "Object landmark discovery through unsupervised adaptation"

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

Papers, authors and author affiliations from ICML, NeurIPS and ICLR 2006-2021

Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity".