Learning Paradigms

Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning NeurIPS 2022 On the Learning Mechanisms in Physical Reasoning NeurIPS 2022 On the Stability and Scalability of Node Perturbation Learning NeurIPS 2022 When are Local Queries Useful for Robust Learning? NeurIPS 2022 Credal Self-Supervised Learning NeurIPS 2021 Iterative Teaching by Label Synthesis NeurIPS 2021 Lifelong Learning with Branching Experts ACML 2021 Meta-Learning to Compositionally Generalize ACL 2021 Neural Architecture Search With Random Labels CVPR 2021 Overcoming Conflicting Data when Updating a Neural Semantic Parser EMNLP 2021 Rethinking Graph Neural Architecture Search From Message-Passing CVPR 2021 VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021 Learning Architectures from an Extended Search Space for Language Modeling ACL 2020 MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation CVPR 2020 Hierarchical Text Classification with Reinforced Label Assignment EMNLP 2019 Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications AAAI 2019 Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models NeurIPS 2019 Towards Automated Semi-Supervised Learning AAAI 2019 Towards Fluid Machine Intelligence: Can We Make a Gifted AI? AAAI 2019 Learning to Teach with Dynamic Loss Functions NeurIPS 2018 Transfer Learning with Neural AutoML NeurIPS 2018 Active Learning from Peers NeurIPS 2017 Parameter-Free Online Learning via Model Selection NeurIPS 2017 Learning feed-forward one-shot learners NeurIPS 2016 Active Learning and Discovery of Object Categories in the Presence of Unnameable Instances CVPR 2015