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)
WhiSLU: End-to-End Spoken Language Understanding with Whisper
Interspeech 2023
Whisper Encoder features for Infant Cry Classification
Interspeech 2023
Whole brain radiomics for clustered federated personalization in brain tumor segmentation
MIDL 2023
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers
ACL 2023
Why Does Zero-Shot Cross-Lingual Generation Fail? An Explanation and a Solution
ACL 2023
Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?
ICCV 2023
Why Is Public Pretraining Necessary for Private Model Training?
ICML 2023
WikiGoldSK: Annotated Dataset, Baselines and Few-Shot Learning Experiments for Slovak Named Entity Recognition
EACL 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
CVPR 2023
WinoDict: Probing language models for in-context word acquisition
EACL 2023
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation
AAAI 2023
With Prejudice to None: A Few-Shot, Multilingual Transfer Learning Approach to Detect Social Bias in Low Resource Languages
ACL 2023
Word-level Prefix/Suffix Sense Detection: A Case Study on Negation Sense with Few-shot Learning
ACL 2023
Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization
ICCV 2023
Working Towards Digital Documentation of Uralic Languages With Open-Source Tools and Modern NLP Methods
EMNLP 2023
Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking
NeurIPS 2023
XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking
EACL 2023
X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents
ACL 2023
XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations
ACL 2023
XSkill: Cross Embodiment Skill Discovery
CoRL 2023
X-SNS: Cross-Lingual Transfer Prediction through Sub-Network Similarity
EMNLP 2023
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
EMNLP 2023
YANMTT: Yet Another Neural Machine Translation Toolkit
ACL 2023
YNU-HPCC at SemEval-2023 Task7: Multi-evidence Natural Language Inference for Clinical Trial Data Based a BioBERT Model
SemEval 2023
You Can Have Your Data and Balance It Too: Towards Balanced and Efficient Multilingual Models
EACL 2023