Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations
ICCV 2025
From Lists to Emojis: How Format Bias Affects Model Alignment
ACL 2025
From Measurement to Mitigation: Exploring the Transferability of Debiasing Approaches to Gender Bias in Maltese Language Models
ACL 2025
From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs
ACL 2025
From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons Alignment
ACL 2025
From Noise to Clarity: Filtering Real and LLM-Generated Samples for Enhanced Intent Detection
EMNLP 2025
From Noise to Nuance: Enriching Subjective Data Annotation through Qualitative Analysis
EMNLP 2025
From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment
ACL 2025
From Parameters to Performance: A Data-Driven Study on LLM Structure and Development
EMNLP 2025
From perception to production: how acoustic invariance facilitates articulatory learning in a self-supervised vocal imitation model
EMNLP 2025
From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization
CVPR 2025
From Posts to Timelines: Modeling Mental Health Dynamics from Social Media Timelines with Hybrid LLMs
NAACL 2025
From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translation
COLING 2025
From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling
CVPR 2025
From RAG to Reality: Coarse-Grained Hallucination Detection via NLI Fine-Tuning
ACL 2025
From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding
ACL 2025
From Recall to Creation: Generating Follow-Up Questions Using Bloom’s Taxonomy and Grice’s Maxims
ACL 2025
From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMs
COLING 2025
From Schema to State: Zero-Shot Scheme-Only Dialogue State Tracking via Diverse Synthetic Dialogue and Step-by-Step Distillation
EMNLP 2025
From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations
EMNLP 2025
From Selection to Generation: A Survey of LLM-based Active Learning
ACL 2025
From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization
NAACL 2025
From Syntax to Semantics: Evaluating the Impact of Linguistic Structures on LLM-Based Information Extraction
ACL 2025
From Templates to Natural Language: Generalization Challenges in Instruction-Tuned LLMs for Spatial Reasoning
IJCNLP 2025
From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition
EMNLP 2025