Alternatives and similar repositories for MT-SGD

Users that are interested in MT-SGD are comparing it to the libraries listed below

• tranquyenbk173 / BERT_ITE
  From Implicit to Explicit Feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online us…
  ☆1Updated last year
• vothuckhanhhuyen / continual-learning
  ☆8Updated 3 years ago
• VietHoang1512 / GLOT
  Global-Local Regularization Via Distributional Robustness (AISTATS 2023)
  ☆8Updated last year
• VinAIResearch / DSW
  Distributional Sliced-Wasserstein distance code
  ☆50Updated 11 months ago
• khainb / Mini-batch-OT
  A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…
  ☆37Updated 2 years ago
• minhtannguyen / transformer-mgk
  This is the public github for our paper "Transformer with a Mixture of Gaussian Keys"
  ☆28Updated 2 years ago
• nguyenngocbaocmt02 / BOSS
  [ICLR 2024] Official implementation of Bellman Optimal Stepsize Straightening of Flow-Matching Models
  ☆35Updated last year
• ZixuanKe / CAT
  Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
  ☆21Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• Wang-ML-Lab / bayesian-peft
  [NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
  ☆28Updated 4 months ago
• IBM / model-reprogramming
  Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>
  ☆61Updated last year
• ysharma1126 / ssl_identifiability
  Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
  ☆51Updated 3 years ago
• gortizji / linearized-networks
  Source code of "What can linearized neural networks actually say about generalization?
  ☆20Updated 3 years ago
• nguyentthong / CLNTM
  ☆31Updated last year
• VietHoang1512 / vietnamese-spell-correct-and-text-classify
  A spell corrector and text classifier using Deep Neural Network
  ☆37Updated 4 years ago
• VietHoang1512 / KPA
  Matching The Statements: A Simple and Accurate Model for Key Point Analysis (ArgMining | EMNLP 2021)
  ☆12Updated 3 years ago
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆60Updated last year
• ybjiaang / ACTIR
  Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"
  ☆16Updated 2 years ago
• arobey1 / mbdg
  ☆36Updated 4 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• koukyo1994 / awesome-disentangled-representations
  A curated list of papers on disentangled representation learning inspired by https://github.com/sootlasten/disentangled-representation-pa…
  ☆22Updated 4 years ago
• changdaeoh / FarconVAE
  Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"
  ☆23Updated 3 years ago
• zzzx1224 / EBTSA-ICLR2023
  ☆10Updated 4 months ago
• AKuzina / attack_vae
  Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks
  ☆14Updated 3 years ago
• nik-dim / pamal
  Official repository of "Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models" [ICML 2023]
  ☆18Updated 5 months ago
• nktoan / Causal-Inference-via-Style-Transfer-for-OOD-Generalisation
  [KDD 2023] Causal Inference via Style Transfer for Out-of-distribution Generalisation
  ☆24Updated last year
• MaximeRobeyns / bayesian_lora
  Bayesian Low-Rank Adaptation for Large Language Models
  ☆34Updated last year
• csm9493 / UCL
  The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
  ☆35Updated 4 years ago
• hongxin001 / logitnorm_ood
  Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization
  ☆148Updated 2 years ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆120Updated last year