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)
Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving
AAAI 2024
Discriminator-Free Unsupervised Domain Adaptation for Multi-Label Image Classification
WACV 2024
Discriminator Guidance for Autoregressive Diffusion Models
AISTATS 2024
Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization
ICML 2024
Disentangled Learning with Synthetic Parallel Data for Text Style Transfer
ACL 2024
Disentangled Partial Label Learning
AAAI 2024
Disentangled Pre-training for Human-Object Interaction Detection
CVPR 2024
Disentangled Pre-Training for Image Matting
WACV 2024
Disentangled Representation Learning in Non-Markovian Causal Systems
NeurIPS 2024
Disentangled Style Domain for Implicit z-Watermark Towards Copyright Protection
NeurIPS 2024
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
NeurIPS 2024
Disentangling and mitigating the impact of task similarity for continual learning
NeurIPS 2024
Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness
ACL 2024
Disentangling Domain and General Representations for Time Series Classification
IJCAI 2024
Disentangling Length from Quality in Direct Preference Optimization
ACL 2024
Disentangling Linear Quadratic Control with Untrusted ML Predictions
NeurIPS 2024
Disentangling Questions from Query Generation for Task-Adaptive Retrieval
EMNLP 2024
Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference
ICLR 2024
Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction
ACL 2024
Disrupting Diffusion-based Inpainters with Semantic Digression
IJCAI 2024
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training
MIDL 2024
Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
NeurIPS 2024
Dissecting Fine-Tuning Unlearning in Large Language Models
EMNLP 2024
Dissecting the Failure of Invariant Learning on Graphs
NeurIPS 2024
Dissimilarity Bandits
AISTATS 2024