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

3

2

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12

24

14

20

29

31

32

66

53

67

103

206

482

852

1,124

1,566

1,867

2,410

2,658

2,486

856

'5

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Papers (including subtopics)

Multi-Scale Distillation from Multiple Graph Neural Networks AAAI 2022 Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching NAACL 2022 Multitask Learning for Low Resource Spoken Language Understanding Interspeech 2022 Multi-task Learning for Paraphrase Generation With Keyword and Part-of-Speech Reconstruction ACL 2022 Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models ACL 2022 Multi-Tenant Optimization For Few-Shot Task-Oriented FAQ Retrieval EMNLP 2022 Multivariate Times Series Classification Using Multichannel CNN IJCAI 2022 Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection AAAI 2022 MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation COLING 2022 Muskits: an End-to-end Music Processing Toolkit for Singing Voice Synthesis Interspeech 2022 Mutual information based Bayesian graph neural network for few-shot learning UAI 2022 Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling JMLR 2022 Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation AAAI 2022 Natural Language Inference Prompts for Zero-shot Emotion Classification in Text across Corpora COLING 2022 Natural Language to Code Translation with Execution EMNLP 2022 Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning NeurIPS 2022 Near-Optimal Private and Scalable k-Clustering NeurIPS 2022 Near-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian Unlearning AISTATS 2022 Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions RSS 2022 Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding AAAI 2022 NeuPL: Neural Population Learning ICLR 2022 Neural Attentive Circuits NeurIPS 2022 Neural Contextual Bandits without Regret AISTATS 2022 Neural ensemble search via Bayesian sampling UAI 2022 Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling L4DC 2022