maqqbu / MMSR
The code for NeurIPS 2020 paper: Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion.
☆10Updated 4 years ago
Alternatives and similar repositories for MMSR:
Users that are interested in MMSR are comparing it to the libraries listed below
- ☆20Updated 5 years ago
- A method based on manifold regularization for training adversarially robust neural networks☆9Updated 5 years ago
- ☆12Updated 6 years ago
- Deep Embedded K-means Clustering (DEKM)☆27Updated 4 months ago
- Code for "Generative causal explanations of black-box classifiers"☆34Updated 4 years ago
- This repo contains the implementation of the Wasserstein Barycenter Transport proposed in "Wasserstein Barycenter Transport for Acoustic …☆30Updated 2 years ago
- Neural Topic Model via Optimal Transport, ICLR 2021☆15Updated 4 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 5 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆31Updated 7 months ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆22Updated 5 years ago
- Supervised hierarchical clustering☆10Updated 5 years ago
- Fast embedding-based graph classification with connections to kernels☆12Updated 5 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago
- This is the repository to reproduce the experiments of the IJCAI 2020 paper "Metric Learning in Optimal Transport for Domain Adaptation"☆22Updated 4 years ago
- Crowdsourced datasets including the individual crowd votes.☆39Updated 5 years ago
- Joint distribution optimal transportation for domain adaptation☆102Updated 7 years ago
- ☆43Updated 2 years ago
- ☆22Updated 5 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Updated 4 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- Few Shot Learning on Graphs☆33Updated 2 years ago
- Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift☆37Updated 4 years ago
- Implementation of a state-of-art algorithm from the paper “Learning with Noisy Labels” , which is the first one providing “guarantees for…☆21Updated 7 years ago
- NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"☆17Updated last year
- Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Z…☆44Updated 5 years ago
- Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"☆25Updated last year
- This is a Pytorch implementation of "Deep Low-Rank Subspace Clustering" (CVPRW 2020).☆14Updated 4 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆15Updated 4 years ago
- Code for Invariant Rep. Without Adversaries (NIPS 2018)☆35Updated 5 years ago