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)
See Further When Clear: Curriculum Consistency Model
CVPR 2025
Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation
AAAI 2025
Seeing Culture: A Benchmark for Visual Reasoning and Grounding
EMNLP 2025
Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models
EMNLP 2025
Seeing More with Less: Human-like Representations in Vision Models
CVPR 2025
Seeing Speech and Sound: Distinguishing and Locating Audio Sources in Visual Scenes
CVPR 2025
Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning
IJCAI 2025
Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection
CVPR 2025
Seeing Your Speech Style: A Novel Zero-Shot Identity-Disentanglement Face-based Voice Conversion
AAAI 2025
Seek Common Ground While Reserving Differences: Semi-Supervised Image-Text Sentiment Recognition
CVPR 2025
Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning
IJCAI 2025
SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain Adaptive Object Detection
CVPR 2025
Seg2Box: 3D Object Detection by Point-Wise Semantics Supervision
AAAI 2025
SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories
CVPR 2025
SegDesicNet: Lightweight Semantic Segmentation in Remote Sensing with Geo-Coordinate Embeddings for Domain Adaptation
WACV 2025
Segment Any 3D Gaussians
AAAI 2025
Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information
Interspeech 2025
Selecting and Merging: Towards Adaptable and Scalable Named Entity Recognition with Large Language Models
ACL 2025
Selective Blocking for Message-Passing Neural Networks on Heterophilic Graphs
UAI 2025
Selective Contrastive Learning for Weakly Supervised Affordance Grounding
ICCV 2025
Selective Preference Optimization via Token-Level Reward Function Estimation
EMNLP 2025
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models
NAACL 2025
Selective Visual Prompting in Vision Mamba
AAAI 2025
Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation
AAAI 2025
Self-Bootstrapping for Versatile Test-Time Adaptation
ICML 2025