Learning Paradigms

Neurotoxin: Durable Backdoors in Federated Learning ICML 2022 On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond NeurIPS 2022 On Curriculum Learning for Commonsense Reasoning NAACL 2022 On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation NeurIPS 2022 On Implicit Bias in Overparameterized Bilevel Optimization ICML 2022 On Privacy and Personalization in Cross-Silo Federated Learning NeurIPS 2022 On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum ICML 2022 On the Convergence Theory for Hessian-Free Bilevel Algorithms NeurIPS 2022 On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning NAACL 2022 On the Episodic Difficulty of Few-shot Learning ACML 2022 On the Generalizability and Predictability of Recommender Systems NeurIPS 2022 On the Statistical Benefits of Curriculum Learning ICML 2022 On Utilizing Constituent Language Resources to Improve Downstream Tasks in Hinglish EMNLP 2022 Optimal Accounting of Differential Privacy via Characteristic Function AISTATS 2022 Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training ICML 2022 Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering ICML 2022 OSSEM: one-shot speaker adaptive speech enhancement using meta learning Interspeech 2022 Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling NeurIPS 2022 Parallel MCMC Without Embarrassing Failures AISTATS 2022 PDSketch: Integrated Domain Programming, Learning, and Planning NeurIPS 2022 Persian Natural Language Inference: A Meta-learning Approach COLING 2022 Personalized Federated Learning through Local Memorization ICML 2022 Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness NeurIPS 2022 Personalized Federated Learning via Variational Bayesian Inference ICML 2022 Personalized Online Federated Learning with Multiple Kernels NeurIPS 2022