[NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"
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Updated
May 18, 2024 - Python
[NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"
Unofficial pytorch implementation of the paper "Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding", NeurIPS 2021.
[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
Official implementation of the NeurIPS 2021 paper "Panoptic 3D Scene Reconstruction from a Single RGB Image"
Out-of-distribution detection using the pNML regret. NeurIPS2021
Official implementation of CATs
A Collection of Papers and Codes in NeurIPS2022/2021 related to Low-Level Vision
Unsupervised Part Discovery from Contrastive Reconstruction (NeurIPS 2021)
Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)
This is the repo for Fast Pure Exploration via Frank-Wolfe (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.
Local explanations with uncertainty 💐!
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!
Multi-Scale Representation Learning on Proteins (NeurIPS 2021)
Learning Graph Models for Retrosynthesis Prediction (NeurIPS 2021)
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
[NeurIPS 2021] Self-Supervised GANs with Label Augmentation
Neural Scene Flow Prior (NeurIPS 2021 spotlight)
Dynamic causal Bayesian optimisation
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