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
'25
Papers (including subtopics)
Transfer learning for tensor Gaussian graphical models
JMLR 2024
Transfer Learning for Text Classification via Model Risk Analysis
EMNLP 2024
Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction
IJCAI 2024
Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST)
JMLR 2024
Transferring disentangled representations: bridging the gap between synthetic and real images
NeurIPS 2024
Transferring Fairness using Multi-Task Learning with Limited Demographic Information
EMNLP 2024
Transferring Knowledge From Large Foundation Models to Small Downstream Models
ICML 2024
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities
EMNLP 2024
Transformer as Linear Expansion of Learngene
AAAI 2024
Transformer-based Joint Modelling for Automatic Essay Scoring and Off-Topic Detection
COLING 2024
Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning
AAAI 2024
Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification
AAAI 2024
Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce
AAAI 2024
Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting
ICLR 2024
Transformers Learn Transition Dynamics when Trained to Predict Markov Decision Processes
EMNLP 2024
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
NeurIPS 2024
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
AISTATS 2024
Transitive Consistency Constrained Learning for Entity-to-Entity Stance Detection
ACL 2024
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity
AAAI 2024
Translating speech with just images
Interspeech 2024
Translation-based Lexicalization Generation and Lexical Gap Detection: Application to Kinship Terms
ACL 2024
Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering
ACL 2024
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models
ACL 2024
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks
NeurIPS 2024
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification
ACL 2024