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)
Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning
ACL 2025
Blind2Sound: Self-Supervised Image Denoising without Residual Noise
ICCV 2025
Blind Noisy Image Deblurring Using Residual Guidance Strategy
ICCV 2025
BlinkTrack: Feature Tracking over 80 FPS via Events and Images
ICCV 2025
BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices
CVPR 2025
BlueNeg: A 35mm Negative Film Dataset for Restoring Channel-Heterogeneous Deterioration
ICCV 2025
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning
ACL 2025
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM
IJCAI 2025
BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment
CVPR 2025
BOLT: Boost Large Vision-Language Model Without Training for Long-form Video Understanding
CVPR 2025
Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation
ACL 2025
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
ICML 2025
Boosting Adversarial Transferability via Negative Hessian Trace Regularization
ICCV 2025
Boosting Adversarial Transferability via Residual Perturbation Attack
ICCV 2025
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning
AAAI 2025
Boosting LLM’s Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning
ACL 2025
Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners
ICML 2025
Boosting Multimodal Learning via Disentangled Gradient Learning
ICCV 2025
Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA
ACL 2025
Boosting Semi-Supervised Video Action Detection with Temporal Context
WACV 2025
Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning
AAAI 2025
Boosting Zero-shot Stereo Matching Using Large-Scale Mixed Images Sources in the Real World
IJCAI 2025
Boost the Inference with Co-training: A Depth-guided Mutual Learning Framework for Semi-supervised Medical Polyp Segmentation
CVPR 2025
Boost Your Human Image Generation Model via Direct Preference Optimization
CVPR 2025
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding
AAAI 2025