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)
Label Augmentation for Zero-Shot Hierarchical Text Classification
ACL 2024
Label-Aware Automatic Verbalizer for Few-Shot Text Classification in Mid-To-Low Resource Languages
ACL 2024
Label-aware Hard Negative Sampling Strategies with Momentum Contrastive Learning for Implicit Hate Speech Detection
ACL 2024
Label Consistency-based Worker Filtering for Crowdsourcing
UAI 2024
Label Delay in Online Continual Learning
NeurIPS 2024
Label Distribution Learning from Logical Label
IJCAI 2024
LabelDP-Pro: Learning with Label Differential Privacy via Projections
ICLR 2024
Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training
AAAI 2024
Label-Efficient Group Robustness via Out-of-Distribution Concept Curation
CVPR 2024
Label-Efficient Model Selection for Text Generation
ACL 2024
Label-Focused Inductive Bias over Latent Object Features in Visual Classification
ICLR 2024
Label-free Node Classification on Graphs with Large Language Models (LLMs)
ICLR 2024
Label-Free Synthetic Pretraining of Object Detectors
WACV 2024
Label Noise: Ignorance Is Bliss
NeurIPS 2024
Label-Noise Robust Diffusion Models
ICLR 2024
Label Noise Robustness of Conformal Prediction
JMLR 2024
Label Propagation for Zero-shot Classification with Vision-Language Models
CVPR 2024
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks
AAAI 2024
Label Supervised Contrastive Learning for Imbalanced Text Classification in Euclidean and Hyperbolic Embedding Spaces
EACL 2024
Label-Synchronous Neural Transducer for E2E Simultaneous Speech Translation
ACL 2024
Label-wise Aleatoric and Epistemic Uncertainty Quantification
UAI 2024
LACIE: Listener-Aware Finetuning for Calibration in Large Language Models
NeurIPS 2024
LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation
AAAI 2024
LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
CVPR 2024
LAILab at Chemotimelines 2024: Finetuning sequence-to-sequence language models for temporal relation extraction towards cancer patient undergoing chemotherapy treatment
NAACL 2024