conftrace_

Learning Paradigms

14,967 papers (9 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Transfer Learning (8,172) Few-Shot Learning (2,681) Meta-Learning (1,719) Federated Learning (1,560) Zero-Shot Learning (878) Continual Learning (189) Domain Adaptation (184) Self-Supervised Learning (158) Active Learning (154) Multi-Task Learning (145) Semi-Supervised Learning (86) In-Context Learning (53) Unsupervised Learning (53) Domain Generalization (26) Weakly Supervised Learning (23)

Papers per year

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12

24

14

20

29

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32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

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Papers (including subtopics)

Cross-Lingual Transfer with MAML on Trees EACL 2021 Cross-Modal Knowledge Distillation Method for Automatic Cued Speech Recognition Interspeech 2021 CrossNER: Evaluating Cross-Domain Named Entity Recognition AAAI 2021 Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer AAAI 2021 cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora SemEval 2021 CURI: A Benchmark for Productive Concept Learning Under Uncertainty ICML 2021 Curious Representation Learning for Embodied Intelligence ICCV 2021 Curriculum Learning by Optimizing Learning Dynamics AISTATS 2021 Curriculum-Meta Learning for Order-Robust Continual Relation Extraction AAAI 2021 Curvature Generation in Curved Spaces for Few-Shot Learning ICCV 2021 DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation CVPR 2021 Data Augmentation for Abstractive Query-Focused Multi-Document Summarization AAAI 2021 Data Augmentation for Graph Neural Networks AAAI 2021 Data Augmentation for Meta-Learning ICML 2021 Data Augmentation with Adversarial Training for Cross-Lingual NLI ACL 2021 Data Efficient Algorithms and Interpretability Requirements for Personalized Assessment of Taskable AI Systems IJCAI 2021 Data-Efficient Reinforcement Learning with Self-Predictive Representations ICLR 2021 Data-Free Knowledge Distillation for Heterogeneous Federated Learning ICML 2021 Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis AAAI 2021 Dataset Meta-Learning from Kernel Ridge-Regression ICLR 2021 Debiasing Model Updates for Improving Personalized Federated Training ICML 2021 Decentralized Sharing and Valuation of Fleet Robotic Data CoRL 2021 Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo JMLR 2021 Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices ICML 2021 Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP NeurIPS 2021