conftrace_
← Core AI
Artificial Intelligence › Core AI ›

Learning Paradigms

52 papers

Papers per year

1
1
2
2
5
'05
'10
'15
'20
'25

Papers

Criticality-Based Advice in Reinforcement Learning (Student Abstract) AAAI 2022
A Demonstration of Compositional, Hierarchical Interactive Task Learning AAAI 2022
Credal Self-Supervised Learning NIPS 2021
Iterative Teaching by Label Synthesis NIPS 2021
Meta-Learning to Compositionally Generalize ACL 2021
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021
Neural Architecture Search With Random Labels CVPR 2021
Rethinking Graph Neural Architecture Search From Message-Passing CVPR 2021
Overcoming Conflicting Data when Updating a Neural Semantic Parser EMNLP 2021
Learning Architectures from an Extended Search Space for Language Modeling ACL 2020
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation CVPR 2020
Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models NIPS 2019
Towards Automated Semi-Supervised Learning AAAI 2019
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications AAAI 2019
Towards Fluid Machine Intelligence: Can We Make a Gifted AI? AAAI 2019
Hierarchical Text Classification with Reinforced Label Assignment EMNLP 2019
Learning to Teach with Dynamic Loss Functions NIPS 2018
Transfer Learning with Neural AutoML NIPS 2018
Parameter-Free Online Learning via Model Selection NIPS 2017
Active Learning from Peers NIPS 2017
Learning feed-forward one-shot learners NIPS 2016
Becoming the Expert - Interactive Multi-Class Machine Teaching CVPR 2015
Active Learning and Discovery of Object Categories in the Presence of Unnameable Instances CVPR 2015
Simultaneous Active Learning of Classifiers & Attributes via Relative Feedback CVPR 2013
Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop CVPR 2013