viniciusguigo / pytorch_dvib

Related projects ⓘ

Alternatives and complementary repositories for pytorch_dvib

• makezur / VIB_pytorch
  an implementation of Deep Variational Informational Bottleneck in pytorch (https://arxiv.org/pdf/1612.00410.pdf)
  ☆33Updated 6 years ago
• ahujak / IB-IRM
  ☆30Updated 3 years ago
• thuml / Batch-Spectral-Shrinkage
  Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)
  ☆24Updated 2 years ago
• PanZiqiAI / disentangled-information-bottleneck
  ☆29Updated 3 years ago
• GuHongyang / SS-VAE-pytorch
  The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch
  ☆17Updated 5 years ago
• AntreasAntoniou / FewShotContinualLearningDataProvider
  The original code for the data providers and the datasets of the paper "Defining Benchmarks for Continual Few-Shot Learning".
  ☆16Updated 4 years ago
• xdxuyang / ALRDC
  ☆16Updated 4 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆40Updated 4 years ago
• chihhuiho / CLAE
  Implementation of Contrastive Learning with Adversarial Examples
  ☆28Updated 3 years ago
• jamie2017 / LearningWithNoisyLabels
  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
• kevinlyu / Wasserstein-Adversarial-Domain-Adaptation
  Wasserstein Based Domain Adaptation Model
  ☆46Updated 5 years ago
• LARS-research / S2E
  Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020
  ☆21Updated 4 years ago
• txsing / generalize-unseen-domains-PyTorch
  PyTorch Implementation: Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018. Origin Tenso…
  ☆14Updated 4 years ago
• xinshi-chen / l2stop
  Learning To Stop While Learning To Predict
  ☆33Updated 2 years ago
• MGoibert / Label_smoothing
  Code for the paper Adversarial Robustness via Adversarial Label-Smoothing
  ☆12Updated 4 years ago
• wyf0912 / MIXALL
  [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'
  ☆24Updated 4 years ago
• SITE5039 / AdaMixUp
  ☆14Updated 5 years ago
• DMIRLAB-Group / DSR
  The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)
  ☆19Updated 5 years ago
• sungyubkim / DVIB
  A pytorch implementation of DVIB(Deep Variational Information Bottleneck)
  ☆9Updated 5 years ago
• congxin95 / DaFeC
  The code of "Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering", ECML-PKDD 2020.
  ☆21Updated last year
• goldblum / FeatureClustering
  ☆13Updated 4 years ago
• seqam-lab / MTDA-ITA
  Code for Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach
  ☆14Updated 4 years ago
• kkelchte / task_free_continual_learning
  This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.
  ☆13Updated 5 years ago
• arobey1 / mbdg
  ☆35Updated 3 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• takeshi-teshima / few-shot-domain-adaptation-by-causal-mechanism-transfer
  Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)
  ☆40Updated last year
• enyac-group / Renofeation
  ☆19Updated 3 years ago
• jiamings / ml-cpc
  ☆36Updated 4 years ago
• AlanChou / Super-Loss
  PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.
  ☆30Updated 3 years ago
• vkverma01 / EFT
  Class Incremental learning, Task Incremental Learning
  ☆16Updated last year