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synthetic sample

19 papers

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Co-occurring keywords · papers mentioning both

knowledge distillation (6) synthetic data generation (4) synthetic sample generation (3) generative adversarial network (3) data-free learning (3) model compression (3) minority class (2) large language model (2) dataset distillation (2) imbalanced classification (2)

Papers

CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning ICML 2025 Dataset Distillation as Data Compression: A Rate-Utility Perspective ICCV 2025 Explaining Differences Between Model Pairs in Natural Language through Sample Learning EMNLP 2025 SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning AAAI 2025 Toward Efficient Data-Free Unlearning AAAI 2025 When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need ICML 2025 Zero-Shot Class Unlearning in CLIP with Synthetic Samples WACV 2025 Deep Classifier Mimicry without Data Access AISTATS 2024 Large Scale Dataset Distillation with Domain Shift ICML 2024 Small Scale Data-Free Knowledge Distillation CVPR 2024 Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples ACML 2023 Hard Sample Matters a Lot in Zero-Shot Quantization CVPR 2023 Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples ACL 2022 Demodalizing Face Recognition with Synthetic Samples AAAI 2021 ExNN-SMOTE: Extended Natural Neighbors Based SMOTE to Deal with Imbalanced Data ACML 2021 Interpretable Minority Synthesis for Imbalanced Classification IJCAI 2021 Symmetrical Synthesis for Deep Metric Learning AAAI 2020 The Knowledge Within: Methods for Data-Free Model Compression CVPR 2020 Oversampling for Imbalanced Data via Optimal Transport AAAI 2019