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)
A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling
CVPR 2026
A Unified Framework for Modeling Heterogeneous Financial Data via Dual-Granularity Prompting
ACL 2026
A Unified Perspective on Adversarial Membership Manipulation in Vision Models
CVPR 2026
AutoCut: End-to-end advertisement video editing based on multimodal discretization and controllable generation
CVPR 2026
Automated Suturing Skill Assessment in Robot-assisted Surgery from Endoscopic Videos using Clinically-guided Evaluation Criteria
WACV 2026
Automatic Prompt Engineering for Scalable Prompt Inversion in Text-to-Image Ad Generation
ACL 2026
AutoRegressive Generation with B-rep Holistic Token Sequence Representation
CVPR 2026
AuViRe: Audio-visual Speech Representation Reconstruction for Deepfake Temporal Localization
WACV 2026
Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation
CVPR 2026
AvatarPointillist: AutoRegressive 4D Gaussian Avatarization
CVPR 2026
AviaSafe: A Physics-Informed Data-Driven Model for Aviation Safety-Critical Cloud Forecasts
CVPR 2026
AVION: Aerial Vision-Language Instruction from Offline Teacher to Prompt-Tuned Network
CVPR 2026
Awakening Dormant Experts:Counterfactual Routing to Mitigate MoE Hallucinations
ACL 2026
Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable Reward
ACL 2026
BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation
CVPR 2026
Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection
CVPR 2026
Back to Source: Open-Set Continual Test-Time Adaptation via Domain Compensation
CVPR 2026
BAgger: Backwards Aggregation for Mitigating Drift in Autoregressive Video Diffusion Models
CVPR 2026
BAHAHA at SemEval-2026 Task 1: Benchmarking-Aware Humor Authoring with Hybrid Assessment and Adaptation
SemEval 2026
Balanced Dataset Distillation via Modeling Multiple Visual Pattern Distribution
CVPR 2026
Balanced Hierarchical Contrastive Learning with Decoupled Queries for Fine-grained Object Detection in Remote Sensing Images
CVPR 2026
BALM: A Model-Agnostic Framework for Balanced Multimodal Learning under Imbalanced Missing Rates
CVPR 2026
BarbieGait: An Identity-Consistent Synthetic Human Dataset with Versatile Cloth-Changing for Gait Recognition
CVPR 2026
Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
CVPR 2026
Bayesian Decomposition and Semantic Completion for Few-shot Semantic Segmentation
CVPR 2026