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)
Information Extraction from Heterogeneous Documents without Ground Truth Labels using Synthetic Label Generation and Knowledge Distillation
WACV 2025
Information-Theoretic Causal Discovery in Topological Order
AISTATS 2025
Information-Theoretic Generative Clustering of Documents
AAAI 2025
Injecting Universal Jailbreak Backdoors into LLMs in Minutes
ICLR 2025
InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles
EMNLP 2025
InnateCoder: Learning Programmatic Options with Foundation Models
IJCAI 2025
InnovateX@DravidianLangTech 2025: Detecting AI-Generated Product Reviews in Dravidian Languages
NAACL 2025
Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leaps
ICLR 2025
INREACT: An Inspire-Then-Reinforce Training Framework For Multimodal GUI Agent
EMNLP 2025
InsBank: Evolving Instruction Subset for Ongoing Alignment
EMNLP 2025
In Search of the Lost Arch in Dialogue: A Dependency Dialogue Acts Corpus for Multi-Party Dialogues
ACL 2025
INSIGHT: Explainable Weakly-Supervised Medical Image Analysis
MLHC 2025
Insights into developing analytical categorization schemes: three problem types related to annotation agreement
NAACL 2025
InspireDebate: Multi-Dimensional Subjective-Objective Evaluation-Guided Reasoning and Optimization for Debating
ACL 2025
InsTaG: Learning Personalized 3D Talking Head from Few-Second Video
CVPR 2025
InstaJudge: Aligning Judgment Bias of LLM-as-Judge with Humans in Industry Applications
EMNLP 2025
Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection
IJCAI 2025
Instance-Selection-Inspired Undersampling Strategies for Bias Reduction in Small and Large Language Models for Binary Text Classification
ACL 2025
Instance-Warp: Saliency Guided Image Warping for Unsupervised Domain Adaptation
WACV 2025
Instance-Wise Monotonic Calibration by Constrained Transformation
UAI 2025
Instance-wise Supervision-level Optimization in Active Learning
CVPR 2025
Instant Adversarial Purification with Adversarial Consistency Distillation
CVPR 2025
Instantly Learning Preference Alignment via In-context DPO
NAACL 2025
InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems
ICLR 2025
Instruct-CLIP: Improving Instruction-Guided Image Editing with Automated Data Refinement Using Contrastive Learning
CVPR 2025