Learning Paradigms

In-sample Curriculum Learning by Sequence Completion for Natural Language Generation ACL 2023 Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models ICML 2023 Inverse Reinforcement Learning for Text Summarization EMNLP 2023 Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning NeurIPS 2023 Iterative Teaching by Data Hallucination AISTATS 2023 Knowledge-Aware Federated Active Learning with Non-IID Data ICCV 2023 Know Where You’re Going: Meta-Learning for Parameter-Efficient Fine-Tuning ACL 2023 L2T-DLN: Learning to Teach with Dynamic Loss Network NeurIPS 2023 LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning ACL 2023 Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning AAAI 2023 LeadFL: Client Self-Defense against Model Poisoning in Federated Learning ICML 2023 Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning WACV 2023 Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks JMLR 2023 Learning Deep Time-index Models for Time Series Forecasting ICML 2023 Learning from Children: Improving Image-Caption Pretraining via Curriculum ACL 2023 Learning From Noisy Labels With Decoupled Meta Label Purifier CVPR 2023 Learning Functional Transduction NeurIPS 2023 Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning ICML 2023 Learning to Boost Training by Periodic Nowcasting Near Future Weights ICML 2023 Learning to Generalize Provably in Learning to Optimize AISTATS 2023 Learning to Group Auxiliary Datasets for Molecule NeurIPS 2023 Learning to Learn from APIs: Black-Box Data-Free Meta-Learning ICML 2023 Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation CVPR 2023 Learn TAROT with MENTOR: A Meta-Learned Self-Supervised Approach for Trajectory Prediction ICCV 2023 LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework ICML 2023