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)
WETBench: A Benchmark for Detecting Task-Specific Machine-Generated Text on Wikipedia
ACL 2025
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling
AAAI 2025
What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization
AISTATS 2025
What Causes Knowledge Loss in Multilingual Language Models?
ACL 2025
What is it? Towards a Generalizable Native American Language Identification System
NAACL 2025
What Is Missing in Multilingual Visual Reasoning and How to Fix It
NAACL 2025
What is the Right Notion of Distance between Predict-then-Optimize Tasks?
UAI 2025
What Makes In-context Learning Effective for Mathematical Reasoning
ICML 2025
When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMs
EMNLP 2025
When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text
ACL 2025
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
ICLR 2025
When Scripts Diverge: Strengthening Low-Resource Neural Machine Translation Through Phonetic Cross-Lingual Transfer
EMNLP 2025
When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR
ACL 2025
When The MOS Predictor Asks For Training Annotation In Cross Lingual/Domain Adaptation
Interspeech 2025
Where Are We? Evaluating LLM Performance on African Languages
ACL 2025
Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning
EMNLP 2025
Which Attention Heads Matter for In-Context Learning?
ICML 2025
Whispering in Ol Chiki: Cross-Lingual Transfer Learning for Santali Speech Recognition
IJCNLP 2025
Why In-Context Learning Models are Good Few-Shot Learners?
ICLR 2025
WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning
EMNLP 2025
Winning Big with Small Models: Knowledge Distillation vs. Self-Training for Reducing Hallucination in QA Agents
ACL 2025
WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment
AAAI 2025
World Model Implanting for Test-time Adaptation of Embodied Agents
ICML 2025
World Models with Hints of Large Language Models for Goal Achieving
NAACL 2025
WST: Wavelet-Based Multi-scale Tuning for Visual Transfer Learning
AAAI 2025