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
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'20
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Papers (including subtopics)
TripleFact: Defending Data Contamination in the Evaluation of LLM-driven Fake News Detection
ACL 2025
TriSPrompt: A Hierarchical Soft Prompt Model for Multimodal Rumor Detection with Incomplete Modalities
EMNLP 2025
TRKT: Weakly Supervised Dynamic Scene Graph Generation with Temporal-enhanced Relation-aware Knowledge Transferring
ICCV 2025
TR-MTEB: A Comprehensive Benchmark and Embedding Model Suite for Turkish Sentence Representations
EMNLP 2025
TRNAS: A Training-Free Robust Neural Architecture Search
ICCV 2025
TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning
AAAI 2025
TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
EMNLP 2025
TrojanWave: Exploiting Prompt Learning for Stealthy Backdoor Attacks on Large Audio-Language Models
EMNLP 2025
Trojsten Benchmark: Evaluating LLM Problem-Solving in Slovak STEM Competition Problems
EMNLP 2025
Trokens: Semantic-Aware Relational Trajectory Tokens for Few-Shot Action Recognition
ICCV 2025
TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning
ICCV 2025
Trucidator: Document-level Event Factuality Identification via Hallucination Enhancement and Cross-Document Inference
COLING 2025
Truncated Gaussian Policy for Debiased Continuous Control
AAAI 2025
Trust but Verify: Programmatic VLM Evaluation in the Wild
ICCV 2025
Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification
AAAI 2025
Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks
AAAI 2025
TRUST: Time-Domain Residual Unsupervised Stability Technique for Improved Heart Rate Estimation
WACV 2025
Trustworthy assessment of heterogeneous treatment effect estimator via analysis of relative error
AISTATS 2025
Truth Behind the Scene: Designing Evaluations Benchmarks to Assess LLMs’ Task-Specific Understanding over Test-Taking Strategies
AAAI 2025
Truth Knows No Language: Evaluating Truthfulness Beyond English
ACL 2025
TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs
EMNLP 2025
Truth, Trust, and Trouble: Medical AI on the Edge
EMNLP 2025
TSAM: Temporal SAM Augmented with Multimodal Prompts for Referring Audio-Visual Segmentation
CVPR 2025
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning
IJCAI 2025
TS-CLIP: Time Series Understanding by CLIP
EMNLP 2025