Learning Paradigms

Regularized Mutual Learning for Personalized Federated Learning ACML 2021 Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph AAAI 2021 Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning NeurIPS 2021 RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation EMNLP 2021 Self-Domain Adaptation for Face Anti-Spoofing AAAI 2021 Self-Paced Context Evaluation for Contextual Reinforcement Learning ICML 2021 Self-Supervised Curriculum Learning for Spelling Error Correction EMNLP 2021 Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction NeurIPS 2021 Semi-supervised Relation Extraction via Incremental Meta Self-Training EMNLP 2021 Simulating Unknown Target Models for Query-Efficient Black-Box Attacks CVPR 2021 SMIL: Multimodal Learning with Severely Missing Modality AAAI 2021 Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective CVPR 2021 Statistically and Computationally Efficient Linear Meta-representation Learning NeurIPS 2021 StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval CVPR 2021 Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning NeurIPS 2021 Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time NeurIPS 2021 Task Aligned Generative Meta-learning for Zero-shot Learning AAAI 2021 TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL ICML 2021 Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning CVPR 2021 The Skellam Mechanism for Differentially Private Federated Learning NeurIPS 2021 TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework NeurIPS 2021 Token-wise Curriculum Learning for Neural Machine Translation EMNLP 2021 Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning AAAI 2021 Towards Flexible Device Participation in Federated Learning AISTATS 2021 Towards mental time travel: a hierarchical memory for reinforcement learning agents NeurIPS 2021