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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Papers (including subtopics)
TITAN-Guide: Taming Inference-Time Alignment for Guided Text-to-Video Diffusion Models
ICCV 2025
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
ICLR 2025
TLDR: Token-Level Detective Reward Model for Large Vision Language Models
ICLR 2025
TLPIQ at BioLaySumm: Hide and Seq, a FLAN-T5 Model for Biomedical Summarization
ACL 2025
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use
EMNLP 2025
TLUE: A Tibetan Language Understanding Evaluation Benchmark
EMNLP 2025
T-MAD: Target-driven Multimodal Alignment for Stance Detection
EMNLP 2025
TMATH A Dataset for Evaluating Large Language Models in Generating Educational Hints for Math Word Problems
COLING 2025
T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation
AAAI 2025
TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings
AAAI 2025
To Ask or Not to Ask? Detecting Absence of Information in Vision and Language Navigation
WACV 2025
TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG
EMNLP 2025
To Chat or Task: a Multi-turn Dialogue Generation Framework for Task-Oriented Dialogue Systems
ACL 2025
To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization
ACL 2025
Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation
AAAI 2025
Tokenization is Sensitive to Language Variation
ACL 2025
Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models
IJCAI 2025
Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models
NAACL 2025
Token-Level Metrics for Detecting Incorrect Gold Annotations in Named Entity Recognition
EMNLP 2025
TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification
AAAI 2025
Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification
AAAI 2025
Token Preference Optimization with Self-Calibrated Visual-Anchored Rewards for Hallucination Mitigation
EMNLP 2025
To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation
COLING 2025
To Label or Not to Label: PALM - A Predictive Model for Evaluating Sample Efficiency in Active Learning Models
ICCV 2025
To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning
AAAI 2025