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
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'20
'25
Papers (including subtopics)
Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction
EMNLP 2025
TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories
IJCAI 2025
TransBERT: A Framework for Synthetic Translation in Domain-Specific Language Modeling
EMNLP 2025
Transferable Adversarial Face Attack with Text Controlled Attribute
AAAI 2025
Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling
EMNLP 2025
Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS
IJCAI 2025
Transfer-Aware Data Selection for Domain Adaptation in Text Retrieval
EMNLP 2025
Transfer learning for dependency parsing of Vedic Sanskrit
EMNLP 2025
Transfer Learning for High-dimensional Reduced Rank Time Series Models
AISTATS 2025
Transfer Learning in Financial Time Series with Gramian Angular Field (Student Abstract)
AAAI 2025
Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift
AAAI 2025
Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection
AAAI 2025
Transfer Neyman-Pearson Algorithm for Outlier Detection
AISTATS 2025
Transfer of Structural Knowledge from Synthetic Languages
ACL 2025
Transfer or Translate? Argument Mining in Arabic with No Native Annotations
EMNLP 2025
Transfer Q-Learning with Composite MDP Structures
ICML 2025
Transferring Foundation Models for Generalizable Robotic Manipulation
WACV 2025
Transformer-based Causal Language Models Perform Clustering
NAACL 2025
Transformer-based Speech Model Learns Well as Infants and Encodes Abstractions through Exemplars in the Poverty of the Stimulus Environment
COLING 2025
Transformers are Universal In-context Learners
ICLR 2025
Transformers Handle Endogeneity in In-Context Linear Regression
ICLR 2025
Transformers: Leveraging OpenNMT and Transfer Learning for Low-Resource Indian Language Translation
EMNLP 2025
Transforming adaptation tracking: benchmarking Transformer-based NLP approaches to retrieve adaptation-relevant information from climate policy text
ACL 2025
Transform Retrieval for Textual Entailment in RAG
NAACL 2025
Transitive self-consistency evaluation of NLI models without gold labels
EMNLP 2025