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)
DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery
CVPR 2025
Discl-VC: Disentangled Discrete Tokens and In-Context Learning for Controllable Zero-Shot Voice Conversion
Interspeech 2025
DIS-CO: Discovering Copyrighted Content in VLMs Training Data
ICML 2025
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
AAAI 2025
Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning
ICML 2025
Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension
ICML 2025
Discrete Audio Representations for Automated Audio Captioning
Interspeech 2025
Discrete Curvature Graph Information Bottleneck
AAAI 2025
Discrete to Continuous: Generating Smooth Transition Poses from Sign Language Observations
CVPR 2025
Discrete Tokens Exhibit Interlanguage Speech Intelligibility Benefit: an Analytical Study Towards Accent-robust ASR Only with Native Speech Data
Interspeech 2025
Disentangled Contrastive Bundle Recommendation with Conditional Diffusion
AAAI 2025
Disentangled Information Bottleneck for Adversarial Text Defense
EMNLP 2025
Disentangled Modeling of Preferences and Social Influence for Group Recommendation
AAAI 2025
Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal
AAAI 2025
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks
AAAI 2025
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
WACV 2025
Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification
Interspeech 2025
Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior
IJCAI 2025
Disentangling Spatio-Temporal Knowledge for Weakly Supervised Object Detection and Segmentation in Surgical Video
WACV 2025
Disentangling Speaker and Content in Pre-trained Speech Models with Latent Diffusion for Robust Speaker Verification
Interspeech 2025
Disentangling the Roles of Representation and Selection in Data Pruning
ACL 2025
DispatchQA: A Benchmark for Small Function Calling Language Models in E-Commerce Applications
EMNLP 2025
Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstruction
ICCV 2025
Distilled Prompt Learning for Incomplete Multimodal Survival Prediction
CVPR 2025
Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection
WACV 2025