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)
Through the Frequency Lens: Cross-Domain Generalisable Gaze Estimation with Adaptive Modulation
CVPR 2026
TIACam: Text-Anchored Invariant Feature Learning with Auto-Augmentation for Camera-Robust Zero-Watermarking
CVPR 2026
Tight Sample Complexity of Transformers
COLT 2026
Time-aware Motion Planning in Dynamic Environments with Conformal Prediction
L4DC 2026
Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution
CVPR 2026
TimeBridge: Self-Supervised Video Representation Learning via Start-End Joint Embedding and In-Between Frame Prediction
CVPR 2026
TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series Forecasting
ACL 2026
Time Without Time: Pseudo-Temporal Representation for Space-Time Super-Resolution
CVPR 2026
TINA: Text-Free Inversion Attack for Unlearned Text-to-Image Diffusion Models
CVPR 2026
TInR: Exploring Tool-Internalized Reasoning in Large Language Models
ACL 2026
TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text Alignment
CVPR 2026
TiViBench: Benchmarking Think-in-Video Reasoning for Video Generation
CVPR 2026
TLMA: Mitigating the Impact of Weakly Labeled Information for Video Anomaly Detection
CVPR 2026
TLoRA: Task-aware Low Rank Adaptation of Large Language Models
ACL 2026
TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery
ACL 2026
TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising
CVPR 2026
Tokenization Allows Multimodal Large Language Models to Understand, Generate and Edit Architectural Floor Plans
CVPR 2026
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via sequence-level likelihood
ACL 2026
TokenLight: Precise Lighting Control in Images using Attribute Tokens
CVPR 2026
ToolOmni: Enabling Open-World Tool Use via Agentic learning with Proactive Retrieval and Grounded Execution
ACL 2026
Too Long, Do Re-weighting for Efficient LLM Reasoning Compression
ACL 2026
ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling
ACL 2026
TopoCL: Topological Contrastive Learning for Medical Imaging
CVPR 2026
Topological-Aware Regularization for Semi-Supervised Intracranial Aneurysm Vessel Segmentation
MIDL 2026
Topology-aware Feature Propagation for Unsupervised Non-rigid Point Cloud Correspondence
CVPR 2026