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)
Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding
ACL 2025
Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning
EMNLP 2025
Enhancing Large Vision-Language Models with Ultra-Detailed Image Caption Generation
EMNLP 2025
Enhancing Learning with Label Differential Privacy by Vector Approximation
ICLR 2025
Enhancing LLM-Based Social Bot via an Adversarial Learning Framework
EMNLP 2025
Enhancing LLM Language Adaption through Cross-lingual In-Context Pre-training
EMNLP 2025
Enhancing LLMs via High-Knowledge Data Selection
AAAI 2025
Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning
AAAI 2025
Enhancing Lyrics Transcription on Music Mixtures with Consistency Loss
Interspeech 2025
Enhancing Mathematical Reasoning in LLMs by Stepwise Correction
ACL 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks
WACV 2025
Enhancing Multimodal Continual Instruction Tuning with BranchLoRA
ACL 2025
Enhancing Multimodal Protein Function Prediction Through Dual-Branch Dynamic Selection with Reconstructive Pre-Training
IJCAI 2025
Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment
ACL 2025
Enhancing Multimodal Unified Representations for Cross Modal Generalization
ACL 2025
Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment
AAAI 2025
Enhancing Neural Machine Translation Through Target Language Data: A kNN-LM Approach for Domain Adaptation
ACL 2025
Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning
AAAI 2025
Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning
AAAI 2025
Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning
AAAI 2025
Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization
CVPR 2025
Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning
ICCV 2025
Enhancing Persona Consistency for LLMs’ Role-Playing using Persona-Aware Contrastive Learning
ACL 2025
Enhancing Post-Treatment Visual Acuity Prediction with Multimodal Deep Learning on Small-scale Clinical and OCT Datasets
MIDL 2025
Enhancing Predictive Healthcare Using AI-Driven Early Warning Systems
AAAI 2025