Topic: neurips-2021 Goto Github
Some thing interesting about neurips-2021
Some thing interesting about neurips-2021
neurips-2021,Interactive Label Cleaning with Example-based Explanations
User: abonte
neurips-2021,Progressive Coordinate Transforms for Monocular 3D Object Detection, NeurIPS 2021
Organization: amazon-science
neurips-2021,Code for the NeurIPS 2021 paper: Fairness in Ranking under Uncertainty
User: ashudeep
neurips-2021,Code, data, and pre-trained models for the paper "Continuous Latent Process Flows" (NeurIPS 2021)
Organization: borealisai
neurips-2021,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.
User: cisiplab
Home Page: https://fast-image-retrieval.readthedocs.io/en/latest/
neurips-2021,Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
User: csdongxian
neurips-2021,Code for "Learning Graph Cellular Automata" (NeurIPS 2021).
User: danielegrattarola
Home Page: https://arxiv.org/abs/2110.14237
neurips-2021,A Collection of Papers and Codes in NeurIPS2022/2021 related to Low-Level Vision
User: darrenpan
neurips-2021,Local explanations with uncertainty 💐!
User: dylan-slack
neurips-2021,This repository contains the official implementation of the NeurIPS'21 paper, ROADMAP: Robust and Decomposable Average Precision for Image Retrieval.
User: elias-ramzi
Home Page: https://arxiv.org/abs/2110.01445
neurips-2021,[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
User: endlesssora
neurips-2021,The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
User: flyingtango
neurips-2021,Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)
User: gcorso
Home Page: https://arxiv.org/abs/2109.09740
neurips-2021,[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
User: hkchengrex
Home Page: https://hkchengrex.com/STCN/
neurips-2021,[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning
User: hologerry
Home Page: https://arxiv.org/abs/2106.02637
neurips-2021,Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)
User: hzhupku
neurips-2021,Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective".
User: jeremy313
neurips-2021,Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)
User: jh-jeong
Home Page: https://arxiv.org/abs/2111.09277
neurips-2021,Unofficial pytorch implementation of the paper "Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding", NeurIPS 2021.
User: jhlew
Home Page: https://arxiv.org/pdf/2106.02795.pdf
neurips-2021,[NeurIPS 2021] ORL: Unsupervised Object-Level Representation Learning from Scene Images
User: jiahao000
neurips-2021,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'.
User: jonathancrabbe
neurips-2021,Code for "Credal Self-Supervised Learning" as published at NeurIPS 2021.
User: julilien
neurips-2021,[NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"
User: kamwoh
neurips-2021,Out-of-distribution detection using the pNML regret. NeurIPS2021
User: kobybibas
neurips-2021,LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results
Organization: learningbydoingcompetition
Home Page: https://learningbydoingcompetition.github.io/
neurips-2021,[NeurIPS 2021] Self-Supervised GANs with Label Augmentation
User: liang-hou
Home Page: https://arxiv.org/abs/2106.08601
neurips-2021,Neural Scene Flow Prior (NeurIPS 2021 spotlight)
User: lilac-lee
Home Page: https://lilac-lee.github.io/Neural_Scene_Flow_Prior
neurips-2021,Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
User: minaghadimiatigh
Home Page: https://minaghadimi.github.io/papers/HBL/index.html
neurips-2021,Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!
User: neerajwagh
neurips-2021,Dynamic causal Bayesian optimisation
User: neildhir
neurips-2021,This is the code of NeurIPS'21 paper "Towards Enabling Meta-Learning from Target Models".
User: njulus
neurips-2021,(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning
User: oveilleux
neurips-2021,Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021
User: rakitinden
neurips-2021,This is the repo for Fast Pure Exploration via Frank-Wolfe (NeurIPS 2021).
User: rctzeng
neurips-2021,[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
Organization: releaunifreiburg
neurips-2021,[NeurIPS 2021] Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
User: rozumden
Home Page: https://github.com/rozumden/ShapeFromBlur
neurips-2021,[NeurIPS 2021] Source code for the paper "Qu-ANTI-zation: Exploiting Neural Network Quantization for Achieving Adversarial Outcomes"
Organization: secure-ai-systems-group
neurips-2021,Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
User: songweige
neurips-2021,Unsupervised Part Discovery from Contrastive Reconstruction (NeurIPS 2021)
User: subhc
Home Page: https://www.robots.ox.ac.uk/~vgg/research/unsup-parts/
neurips-2021,Official implementation of CATs
User: sunghwanhong
neurips-2021,Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight
Organization: syscv
Home Page: https://www.vis.xyz/pub/pcan/
neurips-2021,PyTorch implementation of the descriptor DEAL presented at NeurIPS 2021 "Extracting Deformation-Aware Local Features by Learning to Deform".
Organization: verlab
neurips-2021,Dense Unsupervised Learning for Video Segmentation (NeurIPS*2021)
Organization: visinf
neurips-2021,Learning Graph Models for Retrosynthesis Prediction (NeurIPS 2021)
User: vsomnath
Home Page: https://arxiv.org/abs/2006.07038
neurips-2021,Multi-Scale Representation Learning on Proteins (NeurIPS 2021)
User: vsomnath
Home Page: https://arxiv.org/abs/2204.02337
neurips-2021,Official implementation of the NeurIPS 2021 paper "Panoptic 3D Scene Reconstruction from a Single RGB Image"
User: xheon
Home Page: https://manuel-dahnert.com/research/panoptic-reconstruction
neurips-2021,Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
User: yang-song
neurips-2021,Code of the NeurIPS 2021 paper: Language and Visual Entity Relationship Graph for Agent Navigation
User: yiconghong
neurips-2021,[NeurIPS 2021] Unsupervised Foreground Extraction via Deep Region Competition
User: yupeiyu98
neurips-2021,Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
User: zlin7
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