Learning Paradigms
2,205 papers (6 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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1
6
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23
54
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180
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Papers (including subtopics)
A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract)
AAAI 2021
A Student-Teacher Architecture for Dialog Domain Adaptation Under the Meta-Learning Setting
AAAI 2021
AutoBandit: A Meta Bandit Online Learning System
IJCAI 2021
Automated Concatenation of Embeddings for Structured Prediction
ACL 2021
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
ICML 2021
Autonomous Reinforcement Learning via Subgoal Curricula
NeurIPS 2021
AutoText: An End-to-End AutoAI Framework for Text
AAAI 2021
A Wasserstein Minimax Framework for Mixed Linear Regression
ICML 2021
BASGD: Buffered Asynchronous SGD for Byzantine Learning
ICML 2021
Bayesian decision-making under misspecified priors with applications to meta-learning
NeurIPS 2021
Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation
ACL 2021
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning
IJCAI 2021
Bias-tolerant Fair Classification
ACML 2021
Bilevel Optimization: Convergence Analysis and Enhanced Design
ICML 2021
BN-NAS: Neural Architecture Search With Batch Normalization
ICCV 2021
Boosting with Multiple Sources
NeurIPS 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation
ICML 2021
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data
ICML 2021
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression
NeurIPS 2021
Can We Characterize Tasks Without Labels or Features?
CVPR 2021
CLAIM: curriculum learning policy for influence maximization in unknown social networks
UAI 2021
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
ICML 2021
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)
NeurIPS 2021
Collaborative Unsupervised Visual Representation Learning From Decentralized Data
ICCV 2021
Combining Curriculum Learning and Knowledge Distillation for Dialogue Generation
EMNLP 2021