Alternatives and similar repositories for pamal

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

• GhadaSokar / WAST
  [NeurIPS2022] Where to Pay Attention in Sparse Training for Feature Selection?
  ☆12Updated 2 years ago
• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆73Updated last year
• Pengxin-Guo / Awesome-Multi-Task-Learning
  Paper List for Multi-Task Learning (focus on architectures and optimization for MTL)
  ☆51Updated last year
• TNAS-DCS / TNAS-DCS
  ☆13Updated 3 years ago
• Daftstone / CIMI
  ☆28Updated 2 years ago
• Somedaywilldo / BM-NAS
  BM-NAS: Bilevel Multimodal Neural Architecture Search (AAAI 2022 Oral)
  ☆19Updated 2 years ago
• ondrejbohdal / meta-calibration
  Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"
  ☆36Updated 2 years ago
• IlanPrice / DCTpS
  Code for testing DCT plus Sparse (DCTpS) networks
  ☆14Updated 4 years ago
• badripatro / mamba360
  State Space Models
  ☆70Updated last year
• VITA-Group / L2O-Minimax
  [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…
  ☆15Updated 3 years ago
• junkangwu / ADNCE
  [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"
  ☆40Updated last year
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆52Updated last year
• zhaoyang-0204 / gnp
  gradient norm penalty
  ☆41Updated last year
• LAMDA-Tabular / CHARMS
  The code repository for ICML24 paper "Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images"
  ☆20Updated 6 months ago
• BurakGurbuz97 / NISPA
  Neuro-Inspired Stability-Plasticity Adaptation for Sparse Continual Learning
  ☆21Updated 2 years ago
• hmorioka / CCL
  Connectivity-contrastive learning (CCL)
  ☆10Updated 2 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆67Updated 2 years ago
• AI-secure / multi-task-learning
  Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…
  ☆68Updated 3 years ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆57Updated 6 years ago
• ahujak / IB-IRM
  ☆31Updated 3 years ago
• xinyuewangg / DGCMM
  ☆14Updated 4 years ago
• zichuan-liu / TimeXplusplus
  [ICML'24] Official PyTorch Implementation of TimeX++
  ☆26Updated 10 months ago
• PKU-ML / ContraNorm
  Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "
  ☆35Updated 2 years ago
• boone891214 / MEST
  [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…
  ☆18Updated 3 years ago
• LFhase / FeAT
  [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
  ☆30Updated 3 months ago
• sanketvmehta / lifelong-learning-pretraining-and-sam
  Code for the paper "Mehta, S. V., Patil, D., Chandar, S., & Strubell, E. (2023). An Empirical Investigation of the Role of Pre-training i…
  ☆17Updated last year
• EnnengYang / AdaTask
  AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.
  ☆28Updated last year
• Cranial-XIX / FAMO
  Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)
  ☆97Updated last year
• xxgege / NICO-plus
  The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".
  ☆41Updated 2 years ago
• Hao840 / manifold-distillation
  Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation. NeurIPS 2022.
  ☆32Updated 2 years ago