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)
Test-Time Scaling in Clinical Decision Making
MIDL 2026
Test-time Sparsity for Extreme Fast Action Diffusion
CVPR 2026
Test-Time Training for LiDAR Semantic Segmentation under Corruption via Geometric Inlier Discrimination
CVPR 2026
TexOCR: Advancing Document OCR Models for Compilable Page-to-LaTeX Reconstruction
ACL 2026
TextFM: Robust Semi-dense Feature Matching with Language Guidance
CVPR 2026
Text-Guided Multi-Scale Frequency Representation Adaptation
ACL 2026
TextOVSR: Text-Guided Real-World Opera Video Super-Resolution
CVPR 2026
TextPecker: Rewarding Structural Anomaly Quantification for Enhancing Visual Text Rendering
CVPR 2026
Text-Printed Image: Bridging the Image-Text Modality Gap for Text-centric Training of Large Vision-Language Models
CVPR 2026
Text Slider: Efficient and Plug-and-Play Continuous Concept Control for Image/Video Synthesis via LoRA Adapters
WACV 2026
Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context
ACL 2026
Texvent: Asynchronous Event Data Simulation via Text Prompt
CVPR 2026
TFB at SemEval-2026 Task 4: Diagnosing Model Failures in Narrative Understanding
SemEval 2026
TF-CADE: Foreground-Concentrated Text-Video Alignment for Zero-Shot Temporal Action Detection
CVPR 2026
TGTrack: Temporal Generative Learning for Unified Single Object Tracking
CVPR 2026
TGT: Text-Grounded Trajectories for Locally Controlled Video Generation
CVPR 2026
The Argonauts at SemEval 2026 Task 6: Large Language Models for Response Clarity Classification: Prompting, Fine-Tuning, and Data-Centric Approaches
SemEval 2026
The Bidirectional Process Reward Model
ACL 2026
The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models
CVPR 2026
The Classics at SemEval-2026 Task 3: Combining Transformer Models and LLM-Generated Annotations for Dimensional Aspect-Based Sentiment Analysis
SemEval 2026
The Consistency Critic: Correcting Inconsistencies in Generated Images via Reference-Guided Attentive Alignment
CVPR 2026
The Counterfactuals at SemEval-2026 Task 9: Can Counterfactually-Inspired Preprocessing help Detect Polarization?
SemEval 2026
The Data Frontier for Large Language Models: Selection, Synthesis, and Tools
ACL 2026
The Devil Is in Gradient Entanglement: Energy-Aware Gradient Coordinator for Robust Generalized Category Discovery
CVPR 2026
The Golden Subspace: Where Efficiency Meets Generalization in Continual Test-Time Adaptation
CVPR 2026