progressive training

Consistency is Key: On Data-Efficient Modality Transfer in Speech Translation EMNLP 2023 Curricular Object Manipulation in LiDAR-Based Object Detection CVPR 2023 In-sample Curriculum Learning by Sequence Completion for Natural Language Generation ACL 2023 Learn More for Food Recognition via Progressive Self-Distillation AAAI 2023 PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts ACL 2023 Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation AAAI 2023 Efficient Training of Neural Transducer for Speech Recognition Interspeech 2022 End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking NeurIPS 2022 FPT: Improving Prompt Tuning Efficiency via Progressive Training EMNLP 2022 ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training ICML 2022 Progressive Sentiment Analysis for Code-Switched Text Data EMNLP 2022 End-to-End Speech Translation via Cross-Modal Progressive Training Interspeech 2021 Generalizable Pedestrian Detection: The Elephant in the Room CVPR 2021 PGT: A Progressive Method for Training Models on Long Videos CVPR 2021 Understanding and Improving Early Stopping for Learning with Noisy Labels NeurIPS 2021 Linguist Geeks on WNUT-2020 Task 2: COVID-19 Informative Tweet Identification using Progressive Trained Language Models and Data Augmentation EMNLP 2020 Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks CVPR 2019 Progressive Ensemble Networks for Zero-Shot Recognition CVPR 2019 Splitting Steepest Descent for Growing Neural Architectures NeurIPS 2019 Mix & Match Agent Curricula for Reinforcement Learning ICML 2018