Learning Paradigms

Communication-Efficient Agnostic Federated Averaging Interspeech 2021 Competence-based Multimodal Curriculum Learning for Medical Report Generation ACL 2021 Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning CVPR 2021 Continual Quality Estimation with Online Bayesian Meta-Learning ACL 2021 Contrastive Neural Architecture Search With Neural Architecture Comparators CVPR 2021 Convergence Properties of Stochastic Hypergradients AISTATS 2021 Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms JMLR 2021 CRFL: Certifiably Robust Federated Learning against Backdoor Attacks ICML 2021 CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP EMNLP 2021 Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data ICML 2021 Curriculum Disentangled Recommendation with Noisy Multi-feedback NeurIPS 2021 Curriculum-Meta Learning for Order-Robust Continual Relation Extraction AAAI 2021 Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning AAAI 2021 Data Augmentation for Meta-Learning ICML 2021 Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification AAAI 2021 Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo JMLR 2021 Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices ICML 2021 DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning NeurIPS 2021 Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation CVPR 2021 Dense Relation Distillation With Context-Aware Aggregation for Few-Shot Object Detection CVPR 2021 Dialogue Response Selection with Hierarchical Curriculum Learning ACL 2021 Differentially Private Learning with Adaptive Clipping NeurIPS 2021 Distantly Supervised Relation Extraction in Federated Settings EMNLP 2021 Distributed Machine Learning with Sparse Heterogeneous Data NeurIPS 2021 Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP EMNLP 2021