Alternatives and similar repositories for L3Net

Users that are interested in L3Net are comparing it to the libraries listed below

• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆15Updated 4 years ago
• anonymous003784 / Multi-View-Information-Bottleneck
  ☆10Updated 5 years ago
• kreimanlab / VariationalPrototypeReplaysCL
  Continual learning using variational prototype replays
  ☆9Updated 4 years ago
• Jiaolong / ss-da-consistency
  Self-Supervised Domain Adaptation with Consistency Training
  ☆19Updated 4 years ago
• gbup-group / EAN-efficient-attention-network
  The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.
  ☆20Updated last year
• thwjoy / revae-demo
  ☆17Updated 4 years ago
• PaulAlbert31 / ReLaB
  Official repository for Reliable Label Bootstrapping
  ☆19Updated 2 years ago
• bit-ml / DyReg-GNN
  ☆13Updated 3 years ago
• inspire-group / robustness-via-transport
  ☆12Updated 5 years ago
• Lifelong-ML / LASEM
  Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"
  ☆11Updated 3 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆42Updated 4 years ago
• phquang / Bilevel-Continual-Learning
  ☆10Updated 4 years ago
• minicheshire / InResNet
  Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749
  ☆26Updated 4 years ago
• IuliaDuta / RSTG
  ☆39Updated 4 years ago
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆33Updated 5 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• huangleiBuaa / ONI
  PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs
  ☆24Updated 4 years ago
• suamin / LowFER
  LowFER: Low-rank Bilinear Pooling for Link Prediction (ICML 2020)
  ☆13Updated 2 years ago
• ihollywhy / DistillGCN.PyTorch
  Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20
  ☆57Updated 2 years ago
• fmcarlucci / ADAGE
  Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"
  ☆11Updated 5 years ago
• dvornikita / SUR
  Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"
  ☆41Updated 4 years ago
• tianyizhou / DoCL
  Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)
  ☆19Updated 3 years ago
• martinmamql / relative_predictive_coding
  Project page for paper Self-supervised Representation Learning with Relative Predictive Coding
  ☆17Updated 3 years ago
• ds4dm / sparse-gcn
  Sparse graph attention
  ☆17Updated 6 years ago
• mabirck / Maml_Reptile_PyTorch
  Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks" in PyTorch
  ☆9Updated 6 years ago
• SeongokRyu / mutual_information_and_self-supervised_learning
  Notes and tutorials on "Mutual information and self-supervised learning"
  ☆39Updated 5 years ago
• cadurosar / graph_kd
  Graph Knowledge Distillation
  ☆13Updated 5 years ago
• Kennethborup / self_distillation
  Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression
  ☆18Updated 3 years ago
• CogComp / TAWT
  Weighted Training for Cross-Task Learning
  ☆15Updated 2 years ago
• shengliu66 / ConvNorm
  Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks
  ☆30Updated 3 years ago