rotmanguy / DPCCA
☆10Updated 6 years ago
Related projects: ⓘ
- Canonical Correlation Analysis, Variational CCA☆24Updated 6 years ago
- Implementation of a state-of-art algorithm from the paper “Learning with Noisy Labels” , which is the first one providing “guarantees for…☆22Updated 6 years ago
- ☆13Updated 2 years ago
- Code and data for the paper "Multi-Source Domain Adaptation with Mixture of Experts" (EMNLP 2018)☆62Updated 4 years ago
- Code for the paper: On Symmetric Losses for Learning from Corrupted Labels☆18Updated 5 years ago
- Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Z…☆41Updated 4 years ago
- Code for "Generative causal explanations of black-box classifiers"☆32Updated 3 years ago
- Learning Autoencoders with Relational Regularization☆44Updated 3 years ago
- Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"☆18Updated 3 years ago
- Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)☆63Updated 11 months ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 3 years ago
- The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch☆17Updated 5 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆30Updated last year
- Code Release for `Learning Answer Embeddings for Visual Question Answering`. (CVPR 2018)☆12Updated 5 years ago
- ☆27Updated 6 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆30Updated last year
- Proxy A-Distance algorithm for measuring domain disparity in parallel corpora☆45Updated 2 years ago
- An Empirical Study of Invariant Risk Minimization☆28Updated 4 years ago
- Tensorflow implementation of Invariant Rationalization☆47Updated last year
- Tensorflow (1.0 or 2.0) and Pytorch implementations of the Sinkhorn algorithm [1] for computing the optimal transport (OT) distance betwe…☆18Updated 3 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆111Updated 3 years ago
- Code for NeurIPS 2019 paper "Screening Sinkhorn Algorithm for Regularized Optimal Transport"☆10Updated 4 years ago
- Implementation of Inexact Proximal point method for Optimal Transport☆45Updated 3 years ago
- An implementation of Deep Canonical Correlation Analysis (DCCA) in Keras with tf backend.☆18Updated 6 years ago
- Continual learning using variational prototype replays☆9Updated 3 years ago
- PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction☆31Updated 2 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆26Updated 4 years ago
- Supervised hierarchical clustering☆10Updated 4 years ago
- Project for the Large Scale Optimization course at Skoltech☆22Updated 5 years ago
- A method based on manifold regularization for training adversarially robust neural networks☆9Updated 4 years ago