Learning Paradigms

Robust and Actively Secure Serverless Collaborative Learning NeurIPS 2023 Scalable Bayesian Meta-Learning through Generalized Implicit Gradients AAAI 2023 Secure Federated Correlation Test and Entropy Estimation ICML 2023 Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning AAAI 2023 Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization EMNLP 2023 Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search ICML 2023 SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning NeurIPS 2023 Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning ICML 2023 Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability ICML 2023 Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator IJCAI 2023 SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation AAAI 2023 SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail CVPR 2023 Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning ICML 2023 System-Status-Aware Adaptive Network for Online Streaming Video Understanding CVPR 2023 TabLeak: Tabular Data Leakage in Federated Learning ICML 2023 Tackling Data Heterogeneity in Federated Learning with Class Prototypes AAAI 2023 Task-adaptive Label Dependency Transfer for Few-shot Named Entity Recognition ACL 2023 Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability AAAI 2023 Teaching to Learn: Sequential Teaching of Learners with Internal States AAAI 2023 Thai Dialect Corpus and Transfer-based Curriculum Learning Investigation for Dialect Automatic Speech Recognition Interspeech 2023 The Aggregation–Heterogeneity Trade-off in Federated Learning COLT 2023 The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond ICML 2023 The communication cost of security and privacy in federated frequency estimation AISTATS 2023 The Effect of Diversity in Meta-Learning AAAI 2023 Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts EMNLP 2023