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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Papers (including subtopics)
Deep anytime-valid hypothesis testing
AISTATS 2024
Deep Classifier Mimicry without Data Access
AISTATS 2024
Deep Contrastive Graph Learning with Clustering-Oriented Guidance
AAAI 2024
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees
AAAI 2024
Deep Correlated Prompting for Visual Recognition with Missing Modalities
NeurIPS 2024
Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification
AISTATS 2024
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection
NeurIPS 2024
Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning
EMNLP 2024
Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning
ACL 2024
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data
AISTATS 2024
Deep Generative Model based Rate-Distortion for Image Downscaling Assessment
CVPR 2024
Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data
ICLR 2024
Deep Homography Estimation for Visual Place Recognition
AAAI 2024
Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis
WACV 2024
Deep Incomplete Multi-View Learning Network with Insufficient Label Information
AAAI 2024
DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation
NeurIPS 2024
Deep Learning-Based Alternative Route Computation
AISTATS 2024
Deep Learning in Medical Image Registration: Magic or Mirage?
NeurIPS 2024
Deep Multi-Dimensional Classification with Pairwise Dimension-Specific Features
IJCAI 2024
DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction
AAAI 2024
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
AAAI 2024
Deep Subdomain Alignment for Cross-Domain Image Classification
WACV 2024
Deep Submodular Peripteral Networks
NeurIPS 2024
Deep Support Vectors
NeurIPS 2024
Deep Temporal Graph Clustering
ICLR 2024