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
'25
Papers (including subtopics)
Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path
AAAI 2025
Improving Language and Modality Transfer in Translation by Character-level Modeling
ACL 2025
Improving Language Model Personas via Rationalization with Psychological Scaffolds
EMNLP 2025
Improving Language Transfer Capability of Decoder-only Architecture in Multilingual Neural Machine Translation
EMNLP 2025
Improving Large Language Model Planning with Action Sequence Similarity
ICLR 2025
Improving Large Language Model Safety with Contrastive Representation Learning
EMNLP 2025
Improving Large Vision and Language Models by Learning from a Panel of Peers
ICCV 2025
Improving Low-Resource Morphological Inflection via Self-Supervised Objectives
ACL 2025
Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations
EMNLP 2025
Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback
ACL 2025
Improving MLLM’s Document Image Machine Translation via Synchronously Self-reviewing Its OCR Proficiency
ACL 2025
Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels
AAAI 2025
Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation
AAAI 2025
Improving Named Entity Recognition for Low-Resource Languages Using Large Language Models: A Ukrainian Case Study
ACL 2025
Improving Neutral Point-of-View Generation with Data- and Parameter-Efficient RL
EMNLP 2025
Improving N-Glycosylation and Biopharmaceutical Production Predictions Using AutoML-Built Residual Hybrid Models
AISTATS 2025
Improving NMT Models by Retrofitting Quality Estimators into Trainable Energy Loss
COLING 2025
Improving Out-of-distribution Human Activity Recognition via IMU-Video Cross-modal Representation Learning
MLHC 2025
Improving Pelvic MR-CT Image Alignment with Self-Supervised Reference-Augmented Pseudo-CT Generation Framework
WACV 2025
Improving Personalized Search with Regularized Low-Rank Parameter Updates
CVPR 2025
Improving Preference Alignment of LLM with Inference-Free Self-Refinement
EMNLP 2025
Improving Preference Extraction In LLMs By Identifying Latent Knowledge Through Classifying Probes
ACL 2025
Improving Pre-trained Language Models with Knowledge Enhancement and Filtering Framework
NAACL 2025
Improving Proficiency and Grammar Accuracy for Chinese Language Learners with Large Language Models
IJCNLP 2025
Improving Prompt Generalization for Cross-prompt Essay Trait Scoring from the Scoring-invariance Perspective
EMNLP 2025