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
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Papers (including subtopics)
Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image
CVPR 2026
Multimodal Table Understanding with Difficulty-aware Reinforcement Learning
AAAI 2026
Multi-modal Test-time Adaptation via Adaptive Probabilistic Gaussian Calibration
CVPR 2026
Multi-relational Network Autoregression Model with Latent Group Structures
JMLR 2026
Multi-Task Test-time Adaptation via Gradient Consensus and Plasticity Constraint
AAAI 2026
Multi-View Clustering with Granularity-Aware Pseudo Supervision
AAAI 2026
Multi-View Differential Mixing and Graph-Guided Structural Region Selection for Cross-Modal Alignment
AAAI 2026
MuSACo: Multimodal Subject-Specific Selection and Adaptation for Expression Recognition with Co-Training
WACV 2026
MUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation
WACV 2026
MUST: Modality-Specific Representation-Aware Transformer for Diffusion-Enhanced Survival Prediction with Missing Modality
CVPR 2026
MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection
WACV 2026
Nature-Inspired Population-Based Evolution of Large Language Models
ACL 2026
Near-Optimal Regret for Distributed Adversarial Bandits: A Black-Box Approach
COLT 2026
Near-optimal Swap Regret Minimization for Convex Losses
COLT 2026
Negative Entity Suppression for Zero-Shot Captioning with Synthetic Images
AAAI 2026
Negative Sampling Techniques in Dense Retrieval: A Survey
EACL 2026
Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrieval
AAAI 2026
Neighbor-aware Label Refinement: Enhancing Unreliable Instance-Dependent Partial Labels
AAAI 2026
Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning
EACL 2026
NERVE: Neighbourhood & Entropy-Guided Random-Walk for Training Free Open-Vocabulary Segmentation
WACV 2026
Network Inversion for Uncertainty-Aware Out-of-Distribution Detection (Student Abstract)
AAAI 2026
Neural Collapse Priors Driven Trust Semi-Supervised Multi-View Classification
AAAI 2026
Neural Exploitation and Exploration of Contextual Bandits
JMLR 2026
Neural Routed Boosting: Robust Learning against Heteroscedastic Noise
UAI 2026
NeuroBridge: Bio-Inspired Self-Supervised EEG-to-Image Decoding via Cognitive Priors and Bidirectional Semantic Alignment
AAAI 2026