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)
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters
AAAI 2025
Reinforcement learning with combinatorial actions for coupled restless bandits
ICLR 2025
Rejected Dialects: Biases Against African American Language in Reward Models
NAACL 2025
Relation3D : Enhancing Relation Modeling for Point Cloud Instance Segmentation
CVPR 2025
Relational Causal Discovery with Latent Confounders
UAI 2025
Relational Neurosymbolic Markov Models
AAAI 2025
Relational Self-Supervised Distillation with Compact Descriptors for Image Copy Detection
WACV 2025
Relation-Augmented Dueling Bayesian Optimization via Preference Propagation
IJCAI 2025
Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features
ICLR 2025
Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
AAAI 2025
Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation
AAAI 2025
Relation-Aware Prompting Makes Large Language Models Effective Zero-shot Relation Extractors
EMNLP 2025
Relation Extraction or Pattern Matching? Unravelling the Generalisation Limits of Language Models for Biographical RE
IJCNLP 2025
Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation
AAAI 2025
Relaxing Binary Constraints in Contrastive Vision-Language Medical Representation Learning
WACV 2025
ReLayout: Towards Real-World Document Understanding via Layout-enhanced Pre-training
COLING 2025
RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
ICLR 2025
ReLearn: Unlearning via Learning for Large Language Models
ACL 2025
Reliability of Topic Modeling
NAACL 2025
Reliable and Cost-Effective Exploratory Data Analysis via Graph-Guided RAG
EMNLP 2025
Reliable and Diverse Hierarchical Adapter for Zero-shot Video Classification
IJCAI 2025
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks
IJCAI 2025
ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments
EMNLP 2025
Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction
ACL 2025
RELIC: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples
EMNLP 2025