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)
DistaLs: a Comprehensive Collection of Language Distance Measures
EMNLP 2025
DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion
ICCV 2025
Distillation versus Contrastive Learning: How to Train Your Rerankers
IJCNLP 2025
Distilled Prompt Learning for Incomplete Multimodal Survival Prediction
CVPR 2025
Distilling an End-to-End Voice Assistant Without Instruction Training Data
ACL 2025
Distilling A Universal Expert from Clustered Federated Learning
IJCAI 2025
Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation
AAAI 2025
Distilling Many-Shot In-Context Learning into a Cheat Sheet
EMNLP 2025
Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment
CVPR 2025
Distilling Structural Representations into Protein Sequence Models
ICLR 2025
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
ICML 2025
DistinctAD: Distinctive Audio Description Generation in Contexts
CVPR 2025
Distraction is All You Need for Multimodal Large Language Model Jailbreaking
CVPR 2025
Distributional Adversarial Loss
AISTATS 2025
Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers
ICLR 2025
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls
UAI 2025
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data
AAAI 2025
Distributional Off-policy Evaluation with Bellman Residual Minimization
AISTATS 2025
Distributional Reinforcement Learning with Dual Expectile-Quantile Regression
UAI 2025
Distribution-Aware Mean Estimation under User-level Local Differential Privacy
AISTATS 2025
Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data
IJCAI 2025
Distribution-Consistency-Guided Multi-modal Hashing
AAAI 2025
Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting
AAAI 2025
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection
CVPR 2025
DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints
AAAI 2025