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)
Neighborhood-Aware Negative Sampling for Student Knowledge and Behavior Modeling
AAAI 2025
NeighborRetr: Balancing Hub Centrality in Cross-Modal Retrieval
CVPR 2025
NeighXLM: Enhancing Cross-Lingual Transfer in Low-Resource Languages via Neighbor-Augmented Contrastive Pretraining
EMNLP 2025
NeKo: Cross-Modality Post-Recognition Error Correction with Tasks-Guided Mixture-of-Experts Language Model
ACL 2025
NeLLCom-Lex: A Neural-agent Framework to Study the Interplay between Lexical Systems and Language Use
EMNLP 2025
Nepali Transformers@NLU of Devanagari Script Languages 2025: Detection of Language, Hate Speech and Targets
COLING 2025
NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings
EMNLP 2025
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls
EMNLP 2025
NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models
COLING 2025
NeSyA: Neurosymbolic Automata
IJCAI 2025
NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks In Open Domains
ICLR 2025
NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization
AAAI 2025
NetSafe: Exploring the Topological Safety of Multi-agent System
ACL 2025
Neural at ArchEHR-QA 2025: Agentic Prompt Optimization for Evidence-Grounded Clinical Question Answering
ACL 2025
Neural Combinatorial Clustered Bandits for Recommendation Systems
AAAI 2025
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems
AAAI 2025
Neural Conformal Control for Time Series Forecasting
AAAI 2025
Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models
ACL 2025
NeuralNexus at BEA 2025 Shared Task: Retrieval-Augmented Prompting for Mistake Identification in AI Tutors
ACL 2025
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer
ACL 2025
Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry
ICLR 2025
Neural SDF for Shadow-Aware Unsupervised Structured Light
WACV 2025
Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL
ICLR 2025
Neural Topic Modeling via Contextual and Graph Information Fusion
EMNLP 2025
Neuro-Guided Graph Search for Symbolic Regression (Student Abstract)
AAAI 2025