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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'25
Papers (including subtopics)
Navigating the Unknown: Intent Classification and Out-of-Distribution Detection Using Large Language Models
EMNLP 2025
Navigating Towards Fairness with Data Selection
AAAI 2025
NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM
ACL 2025
Nayana OCR: A Scalable Framework for Document OCR in Low-Resource Languages
NAACL 2025
NBDESCRIB: A Dataset for Text Description Generation from Tables and Code in Jupyter Notebooks with Guidelines
ACL 2025
NCAdapt: Dynamic Adaptation with Domain-Specific Neural Cellular Automata for Continual Hippocampus Segmentation
WACV 2025
NCAP: Scene Text Image Super-Resolution with Non-CAtegorical Prior
WACV 2025
NCL-NLP at SemEval-2025 Task 11: Using Prompting engineering framework and Low Rank Adaptation of Large Language Models for Multi-label Emotion Detection
SemEval 2025
NCLTeam at SemEval-2025 Task 10: Enhancing Multilingual, multi-class, and Multi-Label Document Classification via Contrastive Learning Augmented Cascaded UNet and Embedding based Approaches
SemEval 2025
NCL-UoR at SemEval-2025 Task 3: Detecting Multilingual Hallucination and Related Observable Overgeneration Text Spans with Modified RefChecker and Modified SeflCheckGPT
SemEval 2025
Near, far: Patch-ordering enhances vision foundation models' scene understanding
ICLR 2025
Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback
ICML 2025
Nearly Optimal Differentially Private ReLU Regression
UAI 2025
Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap
AAAI 2025
Nearly Tight Bounds on Approximate Equilibria in Spatial Competition on the Line
AAAI 2025
Near-Optimal Algorithm for Non-Stationary Kernelized Bandits
AISTATS 2025
Near-Optimal Regret Bounds for Federated Multi-armed Bandits with Fully Distributed Communication
UAI 2025
Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model
AISTATS 2025
Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning
AISTATS 2025
Near-Polynomially Competitive Active Logistic Regression
AISTATS 2025
neDIOM: Dataset and Analysis of Nepali Idioms
COLING 2025
Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings
ACL 2025
Negative Metric Learning for Graphs
IJCAI 2025
NegRefine: Refining Negative Label-Based Zero-Shot OOD Detection
ICCV 2025
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation
AAAI 2025