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)
Precise Event Spotting in Sports Videos: Solving Long-Range Dependency and Class Imbalance
CVPR 2025
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
JMLR 2025
Precision vs. Perturbation: Robustness Analysis of Synonym Attacks in Ukrainian NLP
ACL 2025
PreClinIE: An Annotated Corpus for Information Extraction in Preclinical Studies
ACL 2025
Pre-defined Keypoints Promote Category-level Articulation Pose Estimation via Multi-Modal Alignment
IJCAI 2025
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings
ACL 2025
Predicate-Guided Generation for Mathematical Reasoning
EMNLP 2025
Predicting Adolescent Suicidal Risk from Multi-task-based Speech: An Ensemble Learning Approach
Interspeech 2025
Predicting Depression in Screening Interviews from Interactive Multi-Theme Collaboration
ACL 2025
Predicting Fine-tuned Performance on Larger Datasets Before Creating Them
COLING 2025
Predicting ICU Length of Stay for Patients using Latent Categorization of Health Conditions
NAACL 2025
Predicting Implicit Arguments in Procedural Video Instructions
ACL 2025
Predicting Language Models’ Success at Zero-Shot Probabilistic Prediction
EMNLP 2025
Predicting Median, Disagreement and Noise Label in Ordinal Word-in-Context Data
COLING 2025
Predicting Spectral Information for Self-Supervised Signal Classification
IJCAI 2025
Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
ICLR 2025
Predicting The Scholarly Impact of Research Papers Using Retrieval-Augmented LLMs
ACL 2025
Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts
AAAI 2025
Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems
AAAI 2025
Prediction-Centric Uncertainty Quantification via MMD
AISTATS 2025
Predictive Monitoring of Black-Box Dynamical Systems
L4DC 2025
Predict-Optimize-Distill: A Self-Improving Cycle for 4D Object Understanding
ICCV 2025
Preference Consistency Matters: Enhancing Preference Learning in Language Models with Automated Self-Curation of Training Corpora
NAACL 2025
Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation
IJCAI 2025
Preference Elicitation for Offline Reinforcement Learning
ICLR 2025