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)
Non-compositional Expression Generation and its Continual Learning
ACL 2024
Non-contrastive sentence representations via self-supervision
NAACL 2024
Non-Exchangeable Conformal Risk Control
ICLR 2024
Non-exemplar Domain Incremental Object Detection via Learning Domain Bias
AAAI 2024
Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement
AAAI 2024
Nonlinear dynamics of localization in neural receptive fields
NeurIPS 2024
Non-negative Contrastive Learning
ICLR 2024
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning
AISTATS 2024
Non-parametric classification via expand-and-sparsify representation
NeurIPS 2024
Nonparametric Copula Models for Multivariate, Mixed, and Missing Data
JMLR 2024
Nonparametric Evaluation of Noisy ICA Solutions
NeurIPS 2024
Non-parametric Representation Learning with Kernels
AAAI 2024
Non-Referential Functions of Language in Social Agents: The Case of Social Proximity
EACL 2024
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
NeurIPS 2024
Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees
AAAI 2024
NootNoot At SemEval-2024 Task 6: Hallucinations and Related Observable Overgeneration Mistakes Detection
SemEval 2024
No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning
AAAI 2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints
AISTATS 2024
No-Regret Bandit Exploration based on Soft Tree Ensemble Model
NeurIPS 2024
No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
NeurIPS 2024
No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting
NeurIPS 2024
No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning
IJCAI 2024
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO
NeurIPS 2024
Normalization and effective learning rates in reinforcement learning
NeurIPS 2024
Normalizing Flows for Conformal Regression
UAI 2024