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)
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
ICLR 2021
Introducing A large Tunisian Arabizi Dialectal Dataset for Sentiment Analysis
EACL 2021
Inverse Problems Leveraging Pre-trained Contrastive Representations
NeurIPS 2021
Inverse Reinforcement Learning From Like-Minded Teachers
AAAI 2021
Inverse Reinforcement Learning with Natural Language Goals
AAAI 2021
Investigating label suggestions for opinion mining in German Covid-19 social media
ACL 2021
Investigation of IMU&Elevoc Submission for the Short-Duration Speaker Verification Challenge 2021
Interspeech 2021
Investigation on Data Adaptation Techniques for Neural Named Entity Recognition
ACL 2021
IRM—when it works and when it doesn't: A test case of natural language inference
NeurIPS 2021
Is BERT a Cross-Disciplinary Knowledge Learner? A Surprising Finding of Pre-trained Models’ Transferability
EMNLP 2021
Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models
NAACL 2021
Isometric Propagation Network for Generalized Zero-shot Learning
ICLR 2021
“It doesn’t look good for a date”: Transforming Critiques into Preferences for Conversational Recommendation Systems
EMNLP 2021
Iterated learning for emergent systematicity in VQA
ICLR 2021
Iterative Label Cleaning for Transductive and Semi-Supervised Few-Shot Learning
ICCV 2021
Iterative Teacher-Aware Learning
NeurIPS 2021
Iterative Teaching by Label Synthesis
NeurIPS 2021
It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
NAACL 2021
Japanese Zero Anaphora Resolution Can Benefit from Parallel Texts Through Neural Transfer Learning
EMNLP 2021
Joint Feature Enhancement and Speaker Recognition with Multi-Objective Task-Oriented Network
Interspeech 2021
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification
CVPR 2021
JUNLP@DravidianLangTech-EACL2021: Offensive Language Identification in Dravidian Langauges
EACL 2021
KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers
ACL 2021
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation
ICML 2021
Keep Learning: Self-supervised Meta-learning for Learning from Inference
EACL 2021