Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
TerraMind: Large-Scale Generative Multimodality for Earth Observation
ICCV 2025
TESPEC: Temporally-Enhanced Self-Supervised Pretraining for Event Cameras
ICCV 2025
TestAgent: An Adaptive and Intelligent Expert for Human Assessment
ACL 2025
TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark
ICLR 2025
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies
AAAI 2025
Testing Conditional Independence with Deep Neural Network Based Binary Expansion Testing (DeepBET)
AISTATS 2025
Testing Generalizability in Causal Inference
UAI 2025
Testing the Boundaries of LLMs: Dialectal and Language-Variety Tasks
COLING 2025
Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models
ICML 2025
TESTN: A Triad-Enhanced Spatio-Temporal Network for Multi-Temporal POI Relationship Inference
IJCAI 2025
TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency
ACL 2025
Test-Time Adaptation for Combating Missing Modalities in Egocentric Videos
ICLR 2025
Test-time Adaptation for Foundation Medical Segmentation Model Without Parametric Updates
ICCV 2025
Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models
WACV 2025
Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization
AAAI 2025
Test-Time Adaptation on Recommender System with Data-Centric Graph Transformation
IJCAI 2025
Test-Time Backdoor Detection for Object Detection Models
CVPR 2025
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations
NAACL 2025
Test-Time Code-Switching for Cross-lingual Aspect Sentiment Triplet Extraction
NAACL 2025
Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability
CVPR 2025
Test-Time Prompt Tuning for Zero-Shot Depth Completion
ICCV 2025
Test-Time Retrieval-Augmented Adaptation for Vision-Language Models
ICCV 2025
Test-Time Training on Video Streams
JMLR 2025
Test-Time Visual In-Context Tuning
CVPR 2025
TEST-V: TEst-time Support-set Tuning for Zero-shot Video Classification
IJCAI 2025