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Pareto Self-Supervised Training for Few-Shot Learning

https://doi.org/10.1109/cvpr46437.2021.01345

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-58571-6_38openalex-snapshot

When Does Self-supervision Improve Few-Shot Learning?

inferredcites →https://doi.org/10.1007/978-3-030-72240-1_22openalex-snapshot

Improving Cold-Start Recommendation via Multi-prior Meta-learning

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Nonlinear Multiobjective Optimization: A Generalized Homotopy Approach

inferredcites →https://doi.org/10.1007/s001860000043openalex-snapshot

Steepest descent methods for multicriteria optimization

inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot

ImageNet Large Scale Visual Recognition Challenge

inferredcites →https://doi.org/10.1023/a:1017536311488openalex-snapshot

Generalized Homotopy Approach to Multiobjective Optimization

inferredcites →https://doi.org/10.1109/cvpr.2016.278openalex-snapshot

Context Encoders: Feature Learning by Inpainting

inferredcites →https://doi.org/10.1109/cvpr.2018.00459openalex-snapshot

Dynamic Few-Shot Visual Learning Without Forgetting

inferredcites →https://doi.org/10.1109/cvpr.2018.00755openalex-snapshot

Few-Shot Image Recognition by Predicting Parameters from Activations

inferredcites →https://doi.org/10.1109/cvpr.2019.00233openalex-snapshot

Domain Generalization by Solving Jigsaw Puzzles

inferredcites →https://doi.org/10.1109/cvpr.2019.01091openalex-snapshot

Meta-Learning With Differentiable Convex Optimization

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00563openalex-snapshot

PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00975openalex-snapshot

Momentum Contrast for Unsupervised Visual Representation Learning

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01351openalex-snapshot

Attentive Weights Generation for Few Shot Learning via Information Maximization

inferredcites →https://doi.org/10.1109/icassp39728.2021.9414554openalex-snapshot

Multi-Initialization Meta-Learning with Domain Adaptation

inferredcites →https://doi.org/10.1109/iccv.2015.167openalex-snapshot

Unsupervised Visual Representation Learning by Context Prediction

inferredcites →https://doi.org/10.1109/iccv.2019.00042openalex-snapshot

Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training

inferredcites →https://doi.org/10.1109/iccv.2019.00156openalex-snapshot

S4L: Self-Supervised Semi-Supervised Learning

inferredcites →https://doi.org/10.1109/iccv.2019.00305openalex-snapshot

Unsupervised Pre-Training of Image Features on Non-Curated Data

inferredcites →https://doi.org/10.1109/iccv.2019.00382openalex-snapshot

Diversity With Cooperation: Ensemble Methods for Few-Shot Classification

inferredcites →https://doi.org/10.1109/iccv.2019.00815openalex-snapshot

Boosting Few-Shot Visual Learning With Self-Supervision

inferredcites →https://doi.org/10.1109/tevc.2007.892759openalex-snapshot

MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition

inferredcites →https://doi.org/10.1109/tevc.2016.2608507openalex-snapshot

A Survey of Multiobjective Evolutionary Algorithms based on Decomposition

inferredcites →https://doi.org/10.1137/15m1016424openalex-snapshot

A Method for Constrained Multiobjective Optimization Based on SQP Techniques

inferredcites →https://doi.org/10.1145/3357384.3357901openalex-snapshot

Dynamic Collaborative Recurrent Learning

inferredcites →https://doi.org/10.1609/aaai.v35i5.16521openalex-snapshot

Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems

inferredcites →https://doi.org/10.3929/ethz-a-003856832openalex-snapshot

Evolutionary algorithms for multiobjective optimization: methods and applications

inferredcites →https://doi.org/10.48550/arxiv.1511.05467openalex-snapshot

Predictive Entropy Search for Multi-objective Bayesian Optimization

inferredcites →https://doi.org/10.48550/arxiv.1703.03400openalex-snapshot

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

inferredcites →https://doi.org/10.48550/arxiv.1703.05175openalex-snapshot

Prototypical Networks for Few-shot Learning

inferredcites →https://doi.org/10.48550/arxiv.1704.05310openalex-snapshot

Unsupervised Learning by Predicting Noise

inferredcites →https://doi.org/10.48550/arxiv.1707.03141openalex-snapshot

A Simple Neural Attentive Meta-Learner

inferredcites →https://doi.org/10.48550/arxiv.1803.07728openalex-snapshot

Unsupervised Representation Learning by Predicting Image Rotations

inferredcites →https://doi.org/10.48550/arxiv.1810.04650openalex-snapshot

Multi-Task Learning as Multi-Objective Optimization

inferredcites →https://doi.org/10.48550/arxiv.1810.05376openalex-snapshot

Neural Variational Hybrid Collaborative Filtering

inferredcites →https://doi.org/10.48550/arxiv.1910.05872openalex-snapshot

Self-supervised Label Augmentation via Input Transformations

inferredcites →https://doi.org/10.48550/arxiv.1912.12854openalex-snapshot

Pareto Multi-Task Learning

inferredcites →https://doi.org/10.48550/arxiv.2006.16434openalex-snapshot

Efficient Continuous Pareto Exploration in Multi-Task Learning

inferredcites →https://doi.org/10.5555/2627435.2750356openalex-snapshot

Multi-objective reinforcement learning using sets of pareto dominating policies

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Ecopm-Net: A Novel Essential Covariance Prototype Metric Network for Few-Shot Learning

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Learning from Generalizable Teachers for Few-Shot Classification

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Multi-level Metric Learning for Few-Shot Image Recognition

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Self-Supervision Can Be a Good Few-Shot Learner

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tSF: Transformer-Based Semantic Filter for Few-Shot Learning

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Few-Shot Classification with Contrastive Learning

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Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation

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Improving Few-Shot Image Classification with Self-supervised Learning

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Diversified Contrastive Learning For Few-Shot Classification

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Boosting Few-Shot Classification with Lie Group Contrastive Learning

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Contribution-Aware Maximum A Posteriori Estimation for Few-Shot Learning

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DisRot: boosting the generalization capability of few-shot learning via knowledge distillation and self-supervised learning

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Attentive fine-grained recognition for cross-domain few-shot classification

inferred← citeshttps://doi.org/10.1007/s00530-026-02589-zopenalex-snapshot

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Self-supervised pairwise-sample resistance model for few-shot classification

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Joint data augmentation and knowledge distillation for few-shot continual relation extraction

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A conditioned feature reconstruction network for few-shot classification

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Class feature Sub-space for few-shot classification

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MCS: a metric confidence selection framework for few shot image classification

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Semantic-Aware Feature Aggregation for Few-Shot Image Classification

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Region-adaptive Concept Aggregation for Few-shot Visual Recognition

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Texture direction recognition of wooden beams and columns based on improved meta-learning

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CSN: Component supervised network for few-shot classification

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Task Discrepancy Maximization for Fine-grained Few-Shot Classification

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Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning

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Hybrid Learning with Multi-Objective Optimization for Remote Sensing Few Shot Scene Classification

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CMNet: Component-Aware Matching Network for Few-Shot Point Cloud Classification

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A few-shot fine-grained image recognition method

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Clustered-patch Element Connection for Few-shot Learning

inferred← citeshttps://doi.org/10.31219/osf.io/qv9c4openalex-snapshot

Cloud Computing Solutions for Artificial Intelligence’s Data Quality and Security Challenges

inferred← citeshttps://doi.org/10.3389/fnhum.2024.1421922openalex-snapshot

Harnessing Few-Shot Learning for EEG signal classification: a survey of state-of-the-art techniques and future directions

inferred← citeshttps://doi.org/10.3390/brainsci13040638openalex-snapshot

Assessment of Vigilance Level during Work: Fitting a Hidden Markov Model to Heart Rate Variability

inferred← citeshttps://doi.org/10.3390/electronics12010027openalex-snapshot

Few-Shot Learning Based on Double Pooling Squeeze and Excitation Attention

inferred← citeshttps://doi.org/10.3390/electronics14020290openalex-snapshot

Class-Patch Similarity Weighted Embedding for Few-Shot Infrared Image Classification

inferred← citeshttps://doi.org/10.3390/electronics14224472openalex-snapshot

Center–Edge-Based Gaussianized Distribution Calibration for Few-Shot Images Classification

inferred← citeshttps://doi.org/10.3390/s24061815openalex-snapshot

Enhancing Few-Shot Learning in Lightweight Models via Dual-Faceted Knowledge Distillation

inferred← citeshttps://doi.org/10.46299/isg.2024.1.31openalex-snapshot

Proceedings of the XXXI International Scientific and Practical Conference

inferred← citeshttps://doi.org/10.46299/isg.2024.2.1openalex-snapshot

Proceedings of the I International Scientific and Practical Conference

inferred← citeshttps://doi.org/10.46299/isg.p.2024.1.31openalex-snapshot

METHODOLOGICAL ASPECTS OF EDUCATION: ACHIEVEMENTS AND PROSPECTS

inferred← citeshttps://doi.org/10.46299/isg.p.2024.2.1openalex-snapshot

INNOVATIVE SCIENTIFIC RESEARCH: THEORY, METHODOLOGY, PRACTICE

inferred← citeshttps://doi.org/10.54097/9cb36341openalex-snapshot

Operational Efficiency through Machine Learning and Optimization in Supply Chain Management

inferred← citeshttps://doi.org/10.54097/gapmwq55openalex-snapshot

Machine Learning Analysis of Key Features in Household Financial Decision-Making

inferred← citeshttps://doi.org/10.54097/yt4z3z55openalex-snapshot

The Integration of Artificial Intelligence in Architectural Visualization Enhances Augmented Realism and Interactivity

inferred← citeshttps://doi.org/10.54691/9qv2q798openalex-snapshot

Urban Planning and Green Building Technologies Based on Artificial Intelligence: Principles, Applications, and Global Case Study Analysis

inferred← citeshttps://doi.org/10.54691/fbpgw554openalex-snapshot

The Role of Artificial Intelligence in Personalized Medicine through Advanced Imaging

inferred← citeshttps://doi.org/10.54691/py2h2y60openalex-snapshot

Enhancing Energy Efficiency in Green Buildings through Artificial Intelligence

inferred← citeshttps://doi.org/10.54691/q3f67706openalex-snapshot

Impact of AI-Driven Data Visualization on User Experience in the Internet Sector

inferred← citeshttps://doi.org/10.5753/sibgrapi.est.2025.38286openalex-snapshot

Dealing With Strong Imbalance to Classifying Glomerular Lesions via Self-Supervised Learning

inferred← citeshttps://doi.org/10.62051/ijcsit.v3n3.01openalex-snapshot

Integrating AI with Financial Accounting Processes: Innovations and Challenges

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