data distillation

Clean-Label Physical Backdoor Attacks with Data Distillation AAAI 2026 EventHub: Data Factory for Generalizable Event-Based Stereo Networks without Active Sensors CVPR 2026 FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models AAAI 2026 How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study ACL 2026 Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation ACL 2026 A Survey on Efficient Large Language Model Training: From Data-centric Perspectives ACL 2025 Breaking Resource Barriers in Speech Emotion Recognition via Data Distillation Interspeech 2025 UvA-MT’s Participation in the WMT25 General Translation Shared Task EMNLP 2025 AIST AIRC Systems for the WMT 2024 Shared Tasks EMNLP 2024 Effective Data Distillation for Tabular Datasets (Student Abstract) AAAI 2024 Enhanced BioT5+ for Molecule-Text Translation: A Three-Stage Approach with Data Distillation, Diverse Training, and Voting Ensemble ACL 2024 Fair Wasserstein Coresets NeurIPS 2024 LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression ACL 2024 Fair Graph Distillation NeurIPS 2023 Rethinking Data Distillation: Do Not Overlook Calibration ICCV 2023 ANVITA Machine Translation System for WAT 2021 MultiIndicMT Shared Task ACL 2021 Twitter Data Augmentation for Monitoring Public Opinion on COVID-19 Intervention Measures EMNLP 2020 DDFlow: Learning Optical Flow with Unlabeled Data Distillation AAAI 2019 Data Distillation: Towards Omni-Supervised Learning CVPR 2018