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)
Modeling All Response Surfaces in One for Conditional Search Spaces
AAAI 2025
ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models
NAACL 2025
Modeling Background Knowledge with Frame Semantics for Fine-grained Sentiment Classification
ACL 2025
Modeling Complex Semantics Relation with Contrastively Fine-Tuned Relational Encoders
ACL 2025
Modeling Fine-Grained Hand-Object Dynamics for Egocentric Video Representation Learning
ICLR 2025
Modeling the Evolution of English Noun Compounds with Feature-Rich Diachronic Compositionality Prediction
ACL 2025
Modeling the One-to-Many Property in Open-Domain Dialogue with LLMs
ACL 2025
Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization
ACL 2025
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency
CVPR 2025
Model selection for behavioral learning data and applications to contextual bandits
AISTATS 2025
Model Unlearning via Sparse Autoencoder Subspace Guided Projections
EMNLP 2025
Moderating the Generalization of Score-based Generative Model
ICCV 2025
Modern Models, Medieval Texts: A POS Tagging Study of Old Occitan
NAACL 2025
ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling
CVPR 2025
MODL: Multilearner Online Deep Learning
AISTATS 2025
ModSkill: Physical Character Skill Modularization
ICCV 2025
MOERL: When Mixture-of-Experts Meet Reinforcement Learning for Adverse Weather Image Restoration
ICCV 2025
MojoBench: Language Modeling and Benchmarks for Mojo
NAACL 2025
MoLA: MoE LoRA with Layer-wise Expert Allocation
NAACL 2025
Molecular String Representation Preferences in Pretrained LLMs: A Comparative Study in Zero- & Few-Shot Molecular Property Prediction
EMNLP 2025
MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs
EMNLP 2025
MolErr2Fix: Benchmarking LLM Trustworthiness in Chemistry via Modular Error Detection, Localization, Explanation, and Correction
EMNLP 2025
MOL-Mamba: Enhancing Molecular Representation with Structural & Electronic Insights
AAAI 2025
MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval
EMNLP 2025
MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild
ICCV 2025