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)
Self-Supervised Sparse Sensor Fusion for Long Range Perception
ICCV 2025
Self-Supervised Spatial Correspondence Across Modalities
CVPR 2025
Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
ICML 2025
Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined
AAAI 2025
Self-Taught Agentic Long Context Understanding
ACL 2025
Self-Training Elicits Concise Reasoning in Large Language Models
ACL 2025
Self-Training Large Language Models with Confident Reasoning
EMNLP 2025
Self-Training Meets Consistency: Improving LLMs’ Reasoning with Consistency-Driven Rationale Evaluation
NAACL 2025
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
ACL 2025
Self-Vocabularizing Training for Neural Machine Translation
NAACL 2025
SelKD: Selective Knowledge Distillation via Optimal Transport Perspective
ICLR 2025
Semantic alignment in hyperbolic space for fine-grained emotion classification
ACL 2025
Semantically Conditioned Prompts for Visual Recognition under Missing Modality Scenarios
WACV 2025
Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization
AAAI 2025
Semantic Aware Representation Learning for Lifelong Learning
ICLR 2025
Semantic Captioning: Benchmark Dataset and Graph-Aware Few-Shot In-Context Learning for SQL2Text
COLING 2025
Semantic Contribution-Aware Adaptive Retrieval for Black-Box Models
EMNLP 2025
Semantic Discrepancy-aware Detector for Image Forgery Identification
ICCV 2025
Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering
AAAI 2025
Semantic-Eval : A Semantic Comprehension Evaluation Framework for Large Language Models Generation without Training
ACL 2025
Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models
ACL 2025
Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
AAAI 2025
Semantic Masking in a Needle-in-a-haystack Test for Evaluating Large Language Model Long-Text Capabilities
COLING 2025
Semantic Prompting with Image Token for Continual Learning
WACV 2025
Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation
WACV 2025