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)
Small Models are LLM Knowledge Triggers for Medical Tabular Prediction
ICLR 2025
Small Models, Big Results: Achieving Superior Intent Extraction through Decomposition
EMNLP 2025
Small Models Struggle to Learn from Strong Reasoners
ACL 2025
SmartCLIP: Modular Vision-language Alignment with Identification Guarantees
CVPR 2025
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
ICLR 2025
SMART: Scalable Multilingual Approach for a Robust TOD System
EMNLP 2025
SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction
EMNLP 2025
SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision
ICLR 2025
SMILE: Infusing Spatial and Motion Semantics in Masked Video Learning
CVPR 2025
SmolLab_SEU at BEA 2025 Shared Task: A Transformer-Based Framework for Multi-Track Pedagogical Evaluation of AI-Powered Tutors
ACL 2025
SMoLoRA: Exploring and Defying Dual Catastrophic Forgetting in Continual Visual Instruction Tuning
ICCV 2025
SMOL: Professionally Translated Parallel Data for 115 Under-represented Languages
EMNLP 2025
Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises
ICLR 2025
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
AAAI 2025
SMP-Attack: Boosting the Transferability of Feature Importance-based Adversarial Attack with Semantics-aware Multi-granularity Patchout
ICCV 2025
SmurfCat at SHROOM-CAP: Factual but Awkward? Fluent but Wrong? Tackling Both in LLM Scientific QA
AACL 2025
SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph
AISTATS 2025
SNaRe: Domain-aware Data Generation for Low-Resource Event Detection
EMNLP 2025
SnowMaster: Comprehensive Real-world Image Desnowing via MLLM with Multi-Model Feedback Optimization
CVPR 2025
SocialEval: Evaluating Social Intelligence of Large Language Models
ACL 2025
SocialGesture: Delving into Multi-person Gesture Understanding
CVPR 2025
Social Hatred: Efficient Multimodal Detection of Hatemongers
ACL 2025
Social Recommendation via Graph-Level Counterfactual Augmentation
AAAI 2025
SOCIAL SCAFFOLDS: A Generalization Framework for Social Understanding Tasks
EMNLP 2025
SocioBench: Modeling Human Behavior in Sociological Surveys with Large Language Models
EMNLP 2025