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)
BiGain: Unified Token Compression for Joint Generation and Classification
CVPR 2026
Bi-ICE: An Inner Interpretable Framework for Image Classification via Bi-directional Interactions between Concept and Input Embeddings
WACV 2026
Bilevel Layer-Positioning LoRA for Real Image Dehazing
CVPR 2026
BioHiCL: Hierarchical Multi-Label Contrastive Learning for Biomedical Retrieval with MeSH Labels
ACL 2026
BioVITA: Biological Dataset, Model, and Benchmark for Visual-Textual-Acoustic Alignment
CVPR 2026
BiProLoRA: Bilevel Prompt LoRA for Real Scene Recovery
CVPR 2026
BITS Pilani at SemEval-2026 Task 9: Structured Supervised Fine-Tuning with DPO Refinement for Polarization Detection
SemEval 2026
Bitzkrieg at SemEval-2026 Task 13: Calibration-Aware Dual CodeBERT for Multilingual Machine-Generated Code Detection
SemEval 2026
Block-based Learned Image Compression without Blocking Artifacts
CVPR 2026
BluRef: Unsupervised Image Deblurring with Dense-Matching References
CVPR 2026
Boosting Medical Vision-Language Pretraining via Momentum Self-Distillation under Limited Computing Resources
WACV 2026
Boosting Reasoning in Large Multimodal Models via Activation Replay
CVPR 2026
Boosting Self-Supervised Tracking with Contextual Prompts and Noise Learning
CVPR 2026
Boosting Unsupervised Video Instance Segmentation with Automatic Quality-Guided Self-Training
WACV 2026
Boosting Vision-Language Models Towards Cross-Domain Incremental Object Detection
CVPR 2026
Bootstrap Dynamic-Aware 3D Visual Representation for Scalable Robot Learning
CVPR 2026
Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI
MIDL 2026
Bootstrapping Code Translation with Weighted Multilanguage Exploration
ACL 2026
Bootstrapping Multi-view Learning for Test-time Noisy Correspondence
CVPR 2026
Bootstrapping Video Semantic Segmentation Model via Distillation-assisted Test-Time Adaptation
CVPR 2026
Bootstrap Your Own AV-Proxies: Adaptive Contrastive and Prototype Learning for Audio-Visual Segmentation
CVPR 2026
Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models
ACL 2026
Boundary-Responsive Differentiable Gating for Superpixel-Based Segmentation
CVPR 2026
Breaking the Generator Barrier: Disentangled Representation for Generalizable AI-Text Detection
ACL 2026
Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration
OSDI 2026