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Search results for neurips 2021

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[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight

Deceived ⭐ 148

[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

Cost Aggregation Transformers ⭐ 132

Official implementation of CATs

Dense Ulearn Vos ⭐ 121

Dense Unsupervised Learning for Video Segmentation (NeurIPS*2021)

Panoptic Reconstruction ⭐ 113

Official implementation of the NeurIPS 2021 paper "Panoptic 3D Scene Reconstruction from a Single RGB Image"

Shapefromblur ⭐ 104

[NeurIPS 2021] Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects

Neural_scene_flow_prior ⭐ 95

Neural Scene Flow Prior (NeurIPS 2021 spotlight)

Semiseg Ael ⭐ 87

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning, NeurIPS 2021 (Spotlight)

Orthohash ⭐ 71

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

This repository contains the official implementation of the NeurIPS'21 paper, ROADMAP: Robust and Decomposable Average Precision for Image Retrieval.

Neuroseed ⭐ 64

Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)

Progressive Coordinate Transforms ⭐ 63

Progressive Coordinate Transforms for Monocular 3D Object Detection, NeurIPS 2021

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.

Unsup Parts ⭐ 55

Unsupervised Part Discovery from Contrastive Reconstruction (NeurIPS 2021)

Welltunedsimplenets ⭐ 55

[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

Holoprot ⭐ 37

Multi-Scale Representation Learning on Proteins (NeurIPS 2021)

Score_flow ⭐ 35

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

Code for "Learning Graph Cellular Automata" (NeurIPS 2021).

Anp_backdoor ⭐ 31

Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"

Graphretro ⭐ 29

Learning Graph Models for Retrosynthesis Prediction (NeurIPS 2021)

[NeurIPS 2021] ORL: Unsupervised Object-Level Representation Learning from Scene Images

Pnml_ood_detection ⭐ 23

Out-of-distribution detection using the pNML regret. NeurIPS2021

Dynamic causal Bayesian optimisation

Ssgan La ⭐ 19

[NeurIPS 2021] Self-Supervised GANs with Label Augmentation

Modeling Uncertainty Local Explainability ⭐ 16

Local explanations with uncertainty 💐!

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'.

Eeg Self Supervision ⭐ 15

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!

The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021

Realistic_transductive_few_shot ⭐ 13

(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning

Smoothmix ⭐ 13

Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)

Awesome Neurips2023 Low Level Vision ⭐ 12

A Collection of Papers and Codes in NeurIPS2022/2021 related to Low-Level Vision

Learningbydoing Comp ⭐ 11

LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results

Locally Valid and Discriminative Prediction Intervals for Deep Learning Models

Unsupervised Foreground Extraction via Deep Region Competition (NeurIPS 2021)

Deal_neurips_2021 ⭐ 7

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

Pytorch Recursive Gumbel Max Trick ⭐ 7

Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021

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

Latent Set Prediction ⭐ 5

Official implementation of Set Prediction in the Latent Space (LSP)

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