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)
Action-Sketcher: From Reasoning to Action via Visual Sketches for Robotic Manipulation
CVPR 2026
Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models
CVPR 2026
AcTTA: Rethinking Test-Time Adaptation via Dynamic Activation
CVPR 2026
AdaBet: Gradient-free Layer Selection for Efficient Training of Deep Neural Networks
CVPR 2026
AdaDexTrack: Dynamic Modulation for Adaptive and Generalizable Dexterous Manipulation Tracking
CVPR 2026
AdaDPI: Document-level Translation Adaptive Agent via Dynamic Parametric Internalization
ACL 2026
AdaFuse: Adaptive Ensemble Decoding for Large Language Models
ACL 2026
AdaFuse: Adaptive Multimodal Fusion for Lung Cancer Risk Prediction via Reinforcement Learning
MIDL 2026
AdaMix: Adaptive Mixing for Short and Long Reasoning Adapters
ACL 2026
Adam’s Law: Textual Frequency Law on Large Language Models
ACL 2026
Adapting World Models with Latent-State Dynamics Residuals
L4DC 2026
Adaptive Capacity Autoregressive Visual Tracking
CVPR 2026
Adaptive Confidence Regularization for Multimodal Failure Detection
CVPR 2026
Adaptive Cumulative Mass Calibration with Conformal Prediction
UAI 2026
Adaptive Depth Lightweight RGB-T Tracking with Holistic Token Routing
CVPR 2026
Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search
ACL 2026
Adaptive Spatial and Temporal Redundancy Optimization for Efficient Reasoning in Large Language Models
ACL 2026
Adaptive Spatial-Temporal Window: Unlocking the Potential of Event Cameras in Heterogeneous Velocity Scenarios
CVPR 2026
Adaptive Video Distillation: Mitigating Oversaturation and Temporal Collapse in Few-Step Generation
CVPR 2026
Adaptive Weighted Proxy Tuning: Efficient Gray-Box Steering for Image Captioning.
ACL 2026
A Data-Augmented Contrastive Learning Approach to Nonparametric Density Estimation
JMLR 2026
A Data-Centric Approach to Generalizable Speech Deepfake Detection
ACL 2026
Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning
CVPR 2026
Addressing the Ecological Fallacy in Larger LMs with Human Context
CoNLL 2026
AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following
ACL 2026