neurips

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

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)

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

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

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.

[NeurIPS 2019] Deep Set Prediction Networks

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

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

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

(NeurIPS 2020) Meta-Consolidation for Continual Learning

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"

Code for paper "Object landmark discovery through unsupervised adaptation"

Complete download for papers in various top conferences

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.

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

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

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

Code helper for BEETL competition

Statistics, Visualizations and Paper Links of Machine Learning Conferences

Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'

The code repository for Discovering Conflicting Groups in Signed Networks (NeurIPS 2020)

Code for 'Chasing Ghosts: Instruction Following as Bayesian State Tracking' published at NeurIPS 2019

I compiled a list of useful links for NeurIPS 2018 (NIPS 2018)

🐆 A compiler from AI model to RTL (Verilog) accelerator in FPGA hardware with auto design space exploration for *AdderNet*

PyTorch implementation of Targeted Adversarial Perturbations for Monocular Depth Predictions (in NeurIPS 2020)

Proof-of-principle application of Gaussian process modeling to gamma-ray analyses. Code repository associated with the paper https://arxiv.org/abs/2010.10450.

Paper Crawler for downloading academic papers ( ICML, ICLR, NIPS, UAI, ICRA, CoRL, AAAI, IJCAI )