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
'5
'10
'15
'20
'25
Papers (including subtopics)
Background Invariance Testing According to Semantic Proximity
ICCV 2025
BackMATH: Towards Backward Reasoning for Solving Math Problems Step by Step
COLING 2025
BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge
ICLR 2025
Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning
ICLR 2025
BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models
CVPR 2025
BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation
ICCV 2025
BadWindtunnel: Defending Backdoor in High-noise Simulated Training with Confidence Variance
ACL 2025
Bagged k-Distance for Mode-Based Clustering Using the Probability of Localized Level Sets
JMLR 2025
Bagged Regularized k-Distances for Anomaly Detection
JMLR 2025
Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts
AAAI 2025
Balance-Aware Sequence Sampling Makes Multi-Modal Learning Better
IJCAI 2025
Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority Levels
AAAI 2025
Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models
EMNLP 2025
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
ICLR 2025
Balanced Rate-Distortion Optimization in Learned Image Compression
CVPR 2025
Balancing Conservatism and Aggressiveness: Prototype-Affinity Hybrid Network for Few-Shot Segmentation
ICCV 2025
Balancing Imbalance: Data-Scarce Urban Flow Prediction via Spatio-Temporal Balanced Transfer Learning
IJCAI 2025
Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation
IJCAI 2025
Balancing Privacy and Utility in Personal LLM Writing Tasks: An Automated Pipeline for Evaluating Anonymizations
NAACL 2025
Balancing Shared and Task-Specific Representations: A Hybrid Approach to Depth-Aware Video Panoptic Segmentation
WACV 2025
Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion
ICCV 2025
Balancing the Budget: Understanding Trade-offs Between Supervised and Preference-Based Finetuning
ACL 2025
Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation
IJCAI 2025
Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems
IJCAI 2025
BAMDP Shaping: a Unified Framework for Intrinsic Motivation and Reward Shaping
ICLR 2025