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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Papers (including subtopics)
General Uncertainty Estimation with Delta Variances
AAAI 2025
Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution
ACL 2025
Generate, Refine, and Encode: Leveraging Synthesized Novel Samples for On-the-Fly Fine-Grained Category Discovery
ICCV 2025
Generate, Transduct, Adapt: Iterative Transduction with VLMs
ICCV 2025
Generating 3D-Consistent Videos from Unposed Internet Photos
CVPR 2025
Generating Complex Question Decompositions in the Face of Distribution Shifts
NAACL 2025
Generating Diverse Hypotheses for Inductive Reasoning
NAACL 2025
Generating Diverse Training Samples for Relation Extraction with Large Language Models
ACL 2025
Generating Financial News Articles from Factors of Stock Price Rise / Decline by LLMs
COLING 2025
Generating Fine Details of Entity Interactions
EMNLP 2025
Generating Freeform Endoskeletal Robots
ICLR 2025
Generating Grounded Responses to Counter Misinformation via Learning Efficient Fine-Grained Critiques
IJCAI 2025
Generating Multi-Image Synthetic Data for Text-to-Image Customization
ICCV 2025
Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction
ACL 2025
Generating Q&A Benchmarks for RAG Evaluation in Enterprise Settings
ACL 2025
Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval
AAAI 2025
Generating Synthetic Relational Tabular Data via Structural Causal Models
ACL 2025
Generating Tables from the Parametric Knowledge of Language Models
NAACL 2025
Generation-Augmented Retrieval: Rethinking the Role of Large Language Models in Zero-Shot Relation Extraction
EMNLP 2025
Generation of Geodesics with Actor-Critic Reinforcement Learning to Predict Midpoints
JMLR 2025
Generative Active Learning for Long-tail Trajectory Prediction via Controllable Diffusion Model
ICCV 2025
Generative Adversarial Diffusion
ICCV 2025
Generative Agents for Multimodal Controversy Detection
IJCAI 2025
Generative Flow Networks for Lead Optimization in Drug Design (Student Abstract)
AAAI 2025
Generative FrameNet: Scalable and Adaptive Frames for Interpretable Knowledge Storage and Retrieval for LLMs Powered by LLMs
COLING 2025