| SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification | ✓ Link | 98.72 | SgVA-CLIP | 2022-11-28 |
| Context-Aware Meta-Learning | ✓ Link | 98.6 | CAML [Laion-2b] | 2023-10-17 |
| Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference | ✓ Link | 98.4 | P>M>F (P=DINO-ViT-base, M=ProtoNet) | 2022-04-15 |
| Transductive Decoupled Variational Inference for Few-Shot Classification | ✓ Link | 95.95 | TRIDENT | 2022-08-22 |
| Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification | | 91.65 | BAVARDAGE | 2022-09-18 |
| Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning | ✓ Link | 91.53 | PEMnE-BMS*(transductive) | 2021-10-18 |
| Enhancing Few-Shot Image Classification with Unlabelled Examples | ✓ Link | 91.5 | Transductive CNAPS + FETI | 2020-06-17 |
| The Self-Optimal-Transport Feature Transform | ✓ Link | 91.34 | PT+MAP+SF+SOT (transductive) | 2022-04-06 |
| The Balanced-Pairwise-Affinities Feature Transform | ✓ Link | 91.34 | PT+MAP+SF+BPA (transductive) | 2024-06-25 |
| Self-Supervised Learning For Few-Shot Image Classification | ✓ Link | 90.98 | AmdimNet | 2019-11-14 |
| Improved Few-Shot Visual Classification | ✓ Link | 90.3 | Simple CNAPS + FETI | 2019-12-07 |
| Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning | ✓ Link | 89.19 | HCTransformers | 2022-03-17 |
| Sill-Net: Feature Augmentation with Separated Illumination Representation | ✓ Link | 89.14 | Illumination Augmentation | 2021-02-06 |
| EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients | ✓ Link | 89.14 | EASY 3xResNet12 (transductive) | 2022-01-24 |
| Leveraging the Feature Distribution in Transfer-based Few-Shot Learning | ✓ Link | 88.82 | PT+MAP | 2020-06-06 |
| EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients | ✓ Link | 88.57 | EASY 2xResNet12 1/√2 (transductive) | 2022-01-24 |
| Embedding Propagation: Smoother Manifold for Few-Shot Classification | ✓ Link | 88.05 | EPNet + SSL | 2020-03-09 |
| EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients | ✓ Link | 87.15 | EASY 3xResNet12 (inductive) | 2022-01-24 |
| Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification | ✓ Link | 87.06 | CPEA | 2023-01-01 |
| Simple Semantic-Aided Few-Shot Learning | ✓ Link | 86.49 | SemFew-Trans | 2023-11-30 |
| Rethinking Generalization in Few-Shot Classification | ✓ Link | 86.38 | FewTURE | 2022-06-15 |
| EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients | ✓ Link | 86.28 | EASY 2xResNet12 1/√2 (inductive) | 2022-01-24 |
| Rectifying the Shortcut Learning of Background for Few-Shot Learning | ✓ Link | 85.16 | COSOC (inductive) | 2021-07-16 |
| Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning | ✓ Link | 84.78 | Invariance-Equivariance | 2021-03-01 |
| Laplacian Regularized Few-Shot Learning | ✓ Link | 84.72 | LaplacianShot | 2020-06-29 |
| Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning | ✓ Link | 84.67 | PEMbE-NCM (inductive) | 2021-10-18 |
| Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms | ✓ Link | 84.42 | MSENet | 2024-09-12 |
| Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification | ✓ Link | 84.36 | BD-CSPN + ESFR (WRN) | 2021-06-22 |
| Embedding Propagation: Smoother Manifold for Few-Shot Classification | ✓ Link | 84.34 | EPNet | 2020-03-09 |
| Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition | ✓ Link | 84.28 | MetaQDA | 2021-01-08 |
| Prototype Completion for Few-Shot Learning | ✓ Link | 84.18 | PrototypeCompletion | 2021-08-11 |
| ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning | ✓ Link | 84.11 | ESPT | 2023-04-26 |
| Few-Shot Learning as Domain Adaptation: Algorithm and Analysis | | 84.07 | DAPNA | 2020-02-06 |
| Self-supervised Knowledge Distillation for Few-shot Learning | ✓ Link | 83.54 | SKD | 2020-06-17 |
| Self-Supervision Can Be a Good Few-Shot Learner | ✓ Link | 83.40 | UniSiam | 2022-07-19 |
| Open-Set Likelihood Maximization for Few-Shot Learning | ✓ Link | 83.4 | OSLO | 2023-01-20 |
| Charting the Right Manifold: Manifold Mixup for Few-shot Learning | ✓ Link | 83.18 | S2M2R | 2019-07-28 |
| Sparse Spatial Transformers for Few-Shot Learning | ✓ Link | 82.75 | SSFormers | 2021-09-27 |
| Relational Embedding for Few-Shot Classification | ✓ Link | 82.58 | RENet | 2021-08-22 |
| Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks | ✓ Link | 82.51 | pseudo-shots | 2020-12-13 |
| Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification | ✓ Link | 82.32 | BD-CSPN + ESFR (ResNet-18) | 2021-06-22 |
| GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning | ✓ Link | 82.2 | WRN + Self-Organizing Map | 2020-09-04 |
| Task Augmentation by Rotating for Meta-Learning | ✓ Link | 82.13 | MetaOptNet-SVM+Task Aug | 2020-02-08 |
| Task Augmentation by Rotating for Meta-Learning | ✓ Link | 81.96 | R2-D2+Task Aug | 2020-02-08 |
| Adaptive Subspaces for Few-Shot Learning | ✓ Link | 81.65 | Adaptive Subspace Network | 2020-06-01 |
| SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning | ✓ Link | 81.5 | SimpleShot (CL2N-DenseNet) | 2019-11-12 |
| Geometric Mean Improves Loss For Few-Shot Learning | | 81.13 | GML (ResNet-12) | 2025-01-24 |
| MetaFun: Meta-Learning with Iterative Functional Updates | ✓ Link | 80.82 | MetaFun-Attention | 2019-12-05 |
| DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation | ✓ Link | 80.79 | DiffKendall (Meta-Baseline, ResNet-12) | 2023-07-28 |
| Generalized Adaptation for Few-Shot Learning | | 80.75 | ACC + Amphibian | 2019-11-25 |
| MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layers | ✓ Link | 80.40 | MergedNet-Max | 2022-10-14 |
| Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach | ✓ Link | 80.34 | MCRNet-SVM | 2020-07-21 |
| Instance Credibility Inference for Few-Shot Learning | ✓ Link | 80.11 | ICI | 2020-03-26 |
| Meta-Learning with Differentiable Convex Optimization | ✓ Link | 80 | MetaOptNet-SVM-trainval | 2019-04-07 |
| Constellation Nets for Few-Shot Learning | ✓ Link | 79.95 | ConstellationNets | 2021-01-01 |
| Boosting Few-Shot Learning With Adaptive Margin Loss | | 79.54 | TRAML | 2020-05-28 |
| Empirical Bayes Transductive Meta-Learning with Synthetic Gradients | ✓ Link | 79.2 | SIB | 2020-04-27 |
| Learning to Self-Train for Semi-Supervised Few-Shot Classification | ✓ Link | 78.7 | LST | 2019-06-03 |
| Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions | ✓ Link | 78.38 | feat+ (ProtoNet-ResNet) | 2018-12-10 |
| Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach | ✓ Link | 78.16 | MCRNet-RR | 2020-07-21 |
| Adaptive Cross-Modal Few-Shot Learning | ✓ Link | 78.10 | AM3-TADAM | 2019-02-19 |
| Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators | ✓ Link | 77.78 | TMDlayer + Transduction | 2021-08-19 |
| Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation | ✓ Link | 77.72 | Multi-Task Learning | 2021-06-16 |
| Learning to learn via Self-Critique | ✓ Link | 77.64 | Self-Critique and Adapt + High-End MAML++ | 2019-05-24 |
| TADAM: Task dependent adaptive metric for improved few-shot learning | ✓ Link | 76.7 | TADAM | 2018-05-23 |
| Edge-labeling Graph Neural Network for Few-shot Learning | ✓ Link | 76.37 | EGNN + Transduction | 2019-05-04 |
| TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning | ✓ Link | 76.36 | TapNet | 2019-05-16 |
| RelationNet2: Deep Comparison Columns for Few-Shot Learning | ✓ Link | 75.84 | Deep Comparison Network | 2018-11-17 |
| Meta-Transfer Learning for Few-Shot Learning | ✓ Link | 75.5 | MTL | 2018-12-06 |
| Region Comparison Network for Interpretable Few-shot Image Classification | ✓ Link | 75.19 | RCN - ResNet12 | 2020-09-08 |
| Image Deformation Meta-Networks for One-Shot Learning | ✓ Link | 74.63 | IDeMe-Net | 2019-05-28 |
| Few-Shot Image Recognition by Predicting Parameters from Activations | ✓ Link | 73.74 | Category-agnostic mapping WRN | 2017-06-12 |
| Enhancing Few-Shot Image Classification with Unlabelled Examples | ✓ Link | 73.1 | Transductive CNAPS | 2020-06-17 |
| Dynamic Few-Shot Visual Learning without Forgetting | ✓ Link | 72.81 | Cosine similarity function + C64F feature extractor | 2018-04-25 |
| Multi-scale Adaptive Task Attention Network for Few-Shot Learning | | 72.67 | MATANet | 2020-11-30 |
| Rapid Adaptation with Conditionally Shifted Neurons | | 71.94 | adaResNet (DF) | 2017-12-28 |
| Match Them Up: Visually Explainable Few-shot Image Classification | ✓ Link | 71.93 | MTUNet+WRN | 2020-11-25 |
| Region Comparison Network for Interpretable Few-shot Image Classification | ✓ Link | 71.63 | RCN - Conv4-64 | 2020-09-08 |
| Meta-Learning with a Geometry-Adaptive Preconditioner | ✓ Link | 71.55 | GAP | 2023-04-04 |
| Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning | ✓ Link | 71.02 | DN4 (k=3) | 2019-03-28 |
| Improved Few-Shot Visual Classification | ✓ Link | 70.8 | Simple CNAPS | 2019-12-07 |
| Meta-Learning with a Geometry-Adaptive Preconditioner | ✓ Link | 70.75 | Approximate GAP | 2023-04-04 |
| Meta-Curvature | ✓ Link | 70.33 | MC2+ | 2019-02-09 |
| Match Them Up: Visually Explainable Few-shot Image Classification | ✓ Link | 70.22 | MTUNet+ResNet-18 | 2020-11-25 |
| HyperShot: Few-Shot Learning by Kernel HyperNetworks | ✓ Link | 69.62% | HyperShot | 2022-03-21 |
| Prototypical Networks for Few-shot Learning | ✓ Link | 68.20 | Prototypical Networks | 2017-03-15 |
| VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution | ✓ Link | 67.52 | VNE (BOIL) | 2023-04-04 |
| How to train your MAML | ✓ Link | 67.15 | MAML++ | 2018-10-22 |
| Hyperbolic Image Embeddings | ✓ Link | 66.27 | Hyperbolic ProtoNet | 2019-04-03 |
| On First-Order Meta-Learning Algorithms | ✓ Link | 65.99 | Reptile + Transduction | 2018-03-08 |
| Uncertainty in Model-Agnostic Meta-Learning using Variational Inference | ✓ Link | 64.31 | VAMPIRE | 2019-07-27 |
| Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels | ✓ Link | 64.0 | DKT + BNCosSim | 2019-10-11 |
| PAC-Bayes meta-learning with implicit task-specific posteriors | ✓ Link | 63.87 | SImPa | 2020-03-05 |
| Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks | ✓ Link | 63.1 | MAML | 2017-03-09 |
| Matching Networks for One Shot Learning | ✓ Link | 60 | Matching Nets (Cosine Matching Fn) | 2016-06-13 |