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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2

4

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)

Attention over Learned Object Embeddings Enables Complex Visual Reasoning NeurIPS 2021 Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets MIDL 2021 Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes AAAI 2021 Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition AAAI 2021 Audiovisual Transfer Learning for Audio Tagging and Sound Event Detection Interspeech 2021 Augmenting Knowledge-grounded Conversations with Sequential Knowledge Transition NAACL 2021 A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations AAAI 2021 A Unified Objective for Novel Class Discovery ICCV 2021 A Uniform Abstraction Framework for Generalized Planning IJCAI 2021 AutoBandit: A Meta Bandit Online Learning System IJCAI 2021 AutoGEL: An Automated Graph Neural Network with Explicit Link Information NeurIPS 2021 Auto-KWS 2021 Challenge: Task, Datasets, and Baselines Interspeech 2021 Automatic Error Correction for Speaker Embedding Learning with Noisy Labels Interspeech 2021 Automatic Unsupervised Outlier Model Selection NeurIPS 2021 A variational approximation for analyzing the dynamics of panel data UAI 2021 A Variational Information Bottleneck Approach to Multi-Omics Data Integration AISTATS 2021 AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features From Multi-Modal Embeddings WACV 2021 AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain EMNLP 2021 Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning EMNLP 2021 A Wasserstein Minimax Framework for Mixed Linear Regression ICML 2021 AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale CoRL 2021 BabyBERTa: Learning More Grammar With Small-Scale Child-Directed Language CoNLL 2021 Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval EMNLP 2021 BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search AAAI 2021 Bandits with partially observable confounded data UAI 2021