Alternatives and similar repositories for MetaNTK-NAS

Users that are interested in MetaNTK-NAS are comparing it to the libraries listed below

• VITA-Group / Diverse-ViT
  [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…
  ☆25Updated 3 years ago
• AllanYangZhou / generative-invariance-transfer
  ☆26Updated 3 years ago
• YannDubs / Mini_Decodable_Information_Bottleneck
  Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.
  ☆11Updated 5 years ago
• bfshi / VARS
  Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)
  ☆36Updated 3 years ago
• Wangt-CN / EqInv
  [ECCV2022] The PyTorch implementation of paper "Equivariance and Invariance Inductive Bias for Learning from Insufficient Data"
  ☆19Updated 3 years ago
• yaoyao-liu / online-hyperparameter-optimization
  PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)
  ☆17Updated 2 years ago
• deeplearning-wisc / NSCL
  Code for ICML 2023 paper "When and How Does Known Class Help Discover Unknown Ones? Provable Understandings Through Spectral Analysis"
  ☆13Updated 2 years ago
• shoaibahmed / blockwise_ssl
  Repository containing code for blockwise SSL training
  ☆30Updated last year
• sanagno / neurips_2022_statistics
  ☆17Updated 3 years ago
• lightonai / contrastive-embeddings-for-neural-architectures
  Architecture embeddings independent from the parametrization of the search space
  ☆15Updated 4 years ago
• Newbeeer / TRM
  Learning Representations that Support Robust Transfer of Predictors
  ☆20Updated 3 years ago
• szc12153 / sparse_interpolated_experts
  Official implementation for Sparse MetA-Tuning (SMAT)
  ☆18Updated 3 months ago
• sumitramalagi / Unseen-classes-at-a-later-time
  ☆13Updated 3 years ago
• VITA-Group / CV_LTH_Pre-training
  [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…
  ☆68Updated 2 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• mwalmer-umd / vit_analysis
  ☆35Updated 2 years ago
• UMBCvision / ISD
  ISD: Self-Supervised Learning by Iterative Similarity Distillation
  ☆36Updated 4 years ago
• facebookresearch / SIE
  Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations
  ☆30Updated 2 years ago
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 3 years ago
• dydjw9 / Efficient_SAM
  ☆58Updated 2 years ago
• Optimization-AI / SogCLR
  Stochastic Optimization for Global Contrastive Learning without Large Mini-batches
  ☆20Updated 2 years ago
• zhangq327 / U-MAE
  Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
  ☆68Updated last year
• Confusezius / Characterizing_Generalization_in_DeepMetricLearning
  Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.
  ☆24Updated 4 years ago
• WilliamYi96 / HGR-Net
  Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification. ECCV 2022.
  ☆18Updated 3 years ago
• youranonymousefriend / plugininversion
  Official Implementation for PlugIn Inversion
  ☆16Updated 4 years ago
• facebookresearch / asym-siam
  PyTorch implementation of Asymmetric Siamese (https://arxiv.org/abs/2204.00613)
  ☆99Updated 3 years ago
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆41Updated 4 years ago
• deeplearning-wisc / MOOD
  Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection
  ☆38Updated 2 years ago
• KKallidromitis / r2o
  PyTorch implementation of Refine and Represent: Region-to-Object Representation Learning.
  ☆21Updated 4 months ago
• VITA-Group / MAK
  [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…
  ☆28Updated 3 years ago