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
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
'10
'15
'20
'25
Papers (including subtopics)
Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained Datasets
EMNLP 2023
Enhancing Meta Learning via Multi-Objective Soft Improvement Functions
ICLR 2023
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation
ICCV 2023
Enhancing New Intent Discovery via Robust Neighbor-based Contrastive Learning
Interspeech 2023
Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation
ICCV 2023
Enhancing Spanish-Quechua Machine Translation with Pre-Trained Models and Diverse Data Sources: LCT-EHU at AmericasNLP Shared Task
ACL 2023
Ensemble Transfer Learning for Multilingual Coreference Resolution
ACL 2023
Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided Decoding
EACL 2023
ENTL: Embodied Navigation Trajectory Learner
ICCV 2023
Entropy-guided Vocabulary Augmentation of Multilingual Language Models for Low-resource Tasks
ACL 2023
eP-ALM: Efficient Perceptual Augmentation of Language Models
ICCV 2023
Epidemic Learning: Boosting Decentralized Learning with Randomized Communication
NeurIPS 2023
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data
ICLR 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes
NeurIPS 2023
Equilibrium Point Learning
ACML 2023
Equivariant Hypergraph Diffusion Neural Operators
ICLR 2023
ESG Impact Type Classification: Leveraging Strategic Prompt Engineering and LLM Fine-Tuning
AACL 2023
Estimating Average Causal Effects from Patient Trajectories
AAAI 2023
Estimating Causal Effects using a Multi-task Deep Ensemble
ICML 2023
Evaluating Multilingual Speech Translation under Realistic Conditions with Resegmentation and Terminology
ACL 2023
Evaluating Paraphrastic Robustness in Textual Entailment Models
ACL 2023
Evaluating the Effectiveness of Natural Language Inference for Hate Speech Detection in Languages with Limited Labeled Data
ACL 2023
Event-based Temporally Dense Optical Flow Estimation with Sequential Learning
ICCV 2023
Event-Guided Procedure Planning from Instructional Videos with Text Supervision
ICCV 2023
EventNeRF: Neural Radiance Fields From a Single Colour Event Camera
CVPR 2023