Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation
AAAI 2023
Decoupled Multimodal Distilling for Emotion Recognition
CVPR 2023
Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains
CVPR 2023
Decoupled Training for Long-Tailed Classification With Stochastic Representations
ICLR 2023
Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection
ACML 2023
Decoupling MaxLogit for Out-of-Distribution Detection
CVPR 2023
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery
ACL 2023
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank
EMNLP 2023
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
NeurIPS 2023
Deep Active Learning for Morphophonological Processing
ACL 2023
Deep Attentive Model for Knowledge Tracing
AAAI 2023
Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach
ICML 2023
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
ICLR 2023
Deep Deterministic Uncertainty: A New Simple Baseline
CVPR 2023
Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation
AAAI 2023
Deep Equilibrium Models for Snapshot Compressive Imaging
AAAI 2023
Deep Generative Symbolic Regression
ICLR 2023
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
ICML 2023
Deep Graph Representation Learning and Optimization for Influence Maximization
ICML 2023
Deep Hashing With Minimal-Distance-Separated Hash Centers
CVPR 2023
Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation
ICCV 2023
Deep Kernel Regression with Finite Learnable Kernels
ACML 2023
Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations
AAAI 2023
Deep learning and low-resource languages: How much data is enough? A case study of three linguistically distinct South African languages
EACL 2023
Deep Learning of Partial Graph Matching via Differentiable Top-K
CVPR 2023