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)

Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds COLT 2024 Learning invariant representations of time-homogeneous stochastic dynamical systems ICLR 2024 Learning Logic Programs by Discovering Higher-Order Abstractions IJCAI 2024 Learning New Tasks from a Few Examples with Soft-Label Prototypes ACL 2024 Learning Not to Regret AAAI 2024 Learning Optimal Advantage from Preferences and Mistaking It for Reward AAAI 2024 Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients ICLR 2024 Learning Pronunciation from Other Accents via Pronunciation Knowledge Transfer Interspeech 2024 Learning Representations for Robust Human-Robot Interaction AAAI 2024 Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning ICLR 2024 Learning soft constrained MPC value functions: Efficient MPC design and implementation providing stability and safety guarantees L4DC 2024 Learning Spatial Similarity Distribution for Few-shot Object Counting IJCAI 2024 Learning Strategies for Robust Argument Mining: An Analysis of Variations in Language and Domain COLING 2024 Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection AAAI 2024 Learning To Adapt CLIP for Few-Shot Monocular Depth Estimation WACV 2024 Learning to Adapt Large Language Models to One-Shot In-Context Intent Classification on Unseen Domains EMNLP 2024 Learning to Ask Informative Questions: Enhancing LLMs with Preference Optimization and Expected Information Gain EMNLP 2024 Learning to Assist Humans without Inferring Rewards NeurIPS 2024 Learning to Compare Financial Reports for Financial Forecasting EACL 2024 Learning to Correct for QA Reasoning with Black-box LLMs EMNLP 2024 Learning to Defer to a Population: A Meta-Learning Approach AISTATS 2024 Learning to design protein-protein interactions with enhanced generalization ICLR 2024 Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation ACL 2024 Learning to Generate Rules for Realistic Few-Shot Relation Classification: An Encoder-Decoder Approach EMNLP 2024 Learning to Learn Better Visual Prompts AAAI 2024