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Awesome Computer Vision Paper List ⭐ 399

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

Imbalanced Semi Self ⭐ 393

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

Attentionwalk ⭐ 299

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

Fetch Academic Research Papers from different sources

Cost Aggregation Transformers ⭐ 131

Official implementation of CATs

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.

Optimal Sparse Decision Trees

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 Classification"

[NeurIPS 2019] Deep Set Prediction Networks

Orthohash ⭐ 71

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

RayDF in PyTorch (NeurIPS 2023)

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.

Machine Learning Research

Monitors4codegen ⭐ 60

Code and Data artifact for NeurIPS 2023 paper - "Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context". `multispy` is a lsp client library in Python intended to be used to build applications around language servers.

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

Dyffusion ⭐ 58

[NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

Cisip Fire ⭐ 57

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.

Eeg Gcnn ⭐ 56

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.

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

[NeurIPS 2022 Spotlight] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

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

Real3d Ad ⭐ 50

A 3D point cloud anomaly detection dataset and benchmark. Accepted by NeurIPS 2023.

Unconditional Time Series Diffusion ⭐ 37

Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"

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

Contrastive Lift ⭐ 31

Code for "Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion" (NeurIPS 2023 Spotlight)

(NeurIPS 2020) Meta-Consolidation for Continual Learning

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

Icml Nips Iclr Dataset ⭐ 25

Papers, authors and author affiliations from ICML, NeurIPS and ICLR 2006-2023

Rank N Contrast ⭐ 22

[NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression

Saic Unsupervised Landmark Detection Neurips2019 ⭐ 20

Code for paper "Object landmark discovery through unsupervised adaptation"

[NeurIPS2023] PanoGRF: Generalizable Spherical Radiance Fields for Wide-baseline Panoramas(or 360-degree image)

This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help of a corpus of examples. For more details, please read our NeurIPS 2021 paper: 'Explaining Latent Representations with a Corpus of Examples'.

Saddle Longtail ⭐ 13

[NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"

NVFi in PyTorch (NeurIPS 2023)

Official pytorch implementation of "An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild", NeurIPS 2021.

Film Ensemble ⭐ 11

[NeurIPS 2022] FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation

Homomorphic_policy_gradient ⭐ 11

Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022

[NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

Beetl Competition ⭐ 10

Code helper for BEETL competition

Web interface for browsing arXiv papers

Relational Proxies ⭐ 9

Official implementation of "Relational Proxies: Emergent Relationships as Fine-Grained Discriminators", NeurIPS 2022.

Scg Neurips2020 ⭐ 8

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

Gaussiandistillation ⭐ 7

Data-free knowledge distillation using Gaussian noise (NeurIPS paper)

This is the code of NeurIPS'21 paper "Towards Enabling Meta-Learning from Target Models".

The official implementation of the paper "Rethinking Data Augmentation for Tabular Data in Deep Learning"

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