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)
PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation
AAAI 2024
Preference Alignment with Flow Matching
NeurIPS 2024
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract)
AAAI 2024
Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation
AAAI 2024
Preference-based Pure Exploration
NeurIPS 2024
Preference-Guided Reflective Sampling for Aligning Language Models
EMNLP 2024
Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice
NeurIPS 2024
Prefix-diffusion: A Lightweight Diffusion Model for Diverse Image Captioning
COLING 2024
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
ICML 2024
Preserving Fairness Generalization in Deepfake Detection
CVPR 2024
Preserving Generalization of Language models in Few-shot Continual Relation Extraction
EMNLP 2024
Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts
EMNLP 2024
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness
CVPR 2024
Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation
NeurIPS 2024
Pre-trained Online Contrastive Learning for Insurance Fraud Detection
AAAI 2024
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
NeurIPS 2024
Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context
NeurIPS 2024
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
CVPR 2024
Pre-trained Visual Dynamics Representations for Efficient Policy Learning
ECCV 2024
Pretraining and Finetuning Language Models on Geospatial Networks for Accurate Address Matching
EMNLP 2024
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
NeurIPS 2024
Pre-training Cross-Modal Retrieval by Expansive Lexicon-Patch Alignment
COLING 2024
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
EMNLP 2024
Pre-training Differentially Private Models with Limited Public Data
NeurIPS 2024
Pretraining End-to-End Keyword Search with Automatically Discovered Acoustic Units
Interspeech 2024