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)
HausaNLP at SemEval-2025 Task 11: Advancing Hausa Text-based Emotion Detection
SemEval 2025
HausaNLP: Current Status, Challenges and Future Directions for Hausa Natural Language Processing
ACL 2025
HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning and Monte Carlo Tree Search
AISTATS 2025
Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking
ACL 2025
HAWK: Highlighting Entity-aware Knowledge for Alleviating Information Sparsity in Long Contexts
EMNLP 2025
HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazing
ICCV 2025
HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation
AAAI 2025
HDiff: Confidence-Guided Denoising Diffusion for Robust Hyper-relational Link Prediction
EMNLP 2025
HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State Discovery
UAI 2025
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
AAAI 2025
HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning
NAACL 2025
HEAL: Hybrid Enhancement with LLM-based Agents for Text-attributed Hypergraph Self-supervised Representation Learning
EMNLP 2025
Heavy-tailed Estimation is Easier than Adversarial Contamination
COLT 2025
HebID: Detecting Social Identities in Hebrew-language Political Text
EMNLP 2025
Hedging and Approximate Truthfulness in Traditional Forecasting Competitions
AAAI 2025
HEDS 3.0: The Human Evaluation Data Sheet Version 3.0
ACL 2025
HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding
AAAI 2025
HELM: Hierarchical Encoding for mRNA Language Modeling
ICLR 2025
HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks
ACL 2025
HELVIPAD: A Real-World Dataset for Omnidirectional Stereo Depth Estimation
CVPR 2025
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning
AAAI 2025
HeMoRa: Unsupervised Heuristic Consensus Sampling for Robust Point Cloud Registration
CVPR 2025
Henry at BEA 2025 Shared Task: Improving AI Tutor’s Guidance Evaluation Through Context-Aware Distillation
ACL 2025
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks
AAAI 2025
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
NAACL 2025