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)
LieRE: Lie Rotational Positional Encodings
ICML 2025
Lifelong Scalable Generative System via Online Maximum Mean Discrepancy
AAAI 2025
Lifting by Gaussians: A Simple Fast and Flexible Method for 3D Instance Segmentation
WACV 2025
Lifting Motion to the 3D World via 2D Diffusion
CVPR 2025
Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the Wild
AAAI 2025
Lifting the Veil on Visual Information Flow in MLLMs: Unlocking Pathways to Faster Inference
CVPR 2025
Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond
ACL 2025
Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence
NAACL 2025
Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval
AAAI 2025
Lightweight Safety Guardrails Using Fine-tuned BERT Embeddings
COLING 2025
Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation
AAAI 2025
Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading
AAAI 2025
LILaC: Late Interacting in Layered Component Graph for Open-domain Multimodal Multihop Retrieval
EMNLP 2025
LimaCost: Data Valuation for Instruction Tuning of Large Language Models
EMNLP 2025
Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition - And Ways to Overcome Them
AAAI 2025
Limited-Resource Adapters Are Regularizers, Not Linguists
ACL 2025
LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes
CVPR 2025
LimRank: Less is More for Reasoning-Intensive Information Reranking
EMNLP 2025
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
ICLR 2025
Linear Steerability in Language Models: When It Emerges and How It Evolves
EMNLP 2025
Linear Supervision for Nonlinear, High-Dimensional Neural Control and Differential Games
L4DC 2025
LinearVC: Linear Transformations of Self-Supervised Features Through the Lens of Voice Conversion
Interspeech 2025
Linguistic Generalizability of Test-Time Scaling in Mathematical Reasoning
ACL 2025
Linguistic Neuron Overlap Patterns to Facilitate Cross-lingual Transfer on Low-resource Languages
EMNLP 2025
LinkAlign: Scalable Schema Linking for Real-World Large-Scale Multi-Database Text-to-SQL
EMNLP 2025