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)
Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition
CVPR 2025
Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models
ACL 2025
Knowledge Decoupling via Orthogonal Projection for Lifelong Editing of Large Language Models
ACL 2025
Knowledge Distillation for Learned Image Compression
ICCV 2025
Knowledge Distillation with Refined Logits
ICCV 2025
Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
ACL 2025
Knowledge-Grounded Detection of Cryptocurrency Scams with Retrieval-Augmented LMs
ACL 2025
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models
AAAI 2025
Knowledge Transfer from Interaction Learning
ICCV 2025
Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP
ICCV 2025
KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education?
ACL 2025
Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning
ACL 2025
Know You First and Be You Better: Modeling Human-Like User Simulators via Implicit Profiles
ACL 2025
KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding
ACL 2025
Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP
AAAI 2025
K-order Ranking Preference Optimization for Large Language Models
ACL 2025
KPL: Training-Free Medical Knowledge Mining of Vision-Language Models
AAAI 2025
KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks
IJCAI 2025
KR Labs at ArchEHR-QA 2025: A Verbatim Approach for Evidence-Based Question Answering
ACL 2025
KVQ: Boosting Video Quality Assessment via Saliency-guided Local Perception
CVPR 2025
L3C-DeepMFC: Low-Latency Low-Complexity Deep Marginal Feedback Cancellation with Closed-Loop Fine Tuning for Hearing Aids
Interspeech 2025
L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression
AAAI 2025
L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection
AAAI 2025
L4: Mutual Learning Helps Lifelong Language Learning
EMNLP 2025
L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
ACL 2025