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)
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation
CVPR 2025
SciBERT Meets Contrastive Learning: A Solution for Scientific Hallucination Detection
ACL 2025
Science-T2I: Addressing Scientific Illusions in Image Synthesis
CVPR 2025
SciEvent: Benchmarking Multi-domain Scientific Event Extraction
EMNLP 2025
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature
EMNLP 2025
SCITAT: A Question Answering Benchmark for Scientific Tables and Text Covering Diverse Reasoning Types
ACL 2025
SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications
ICCV 2025
SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection
AAAI 2025
SCoder: Progressive Self-Distillation for Bootstrapping Small-Scale Data Synthesizers to Empower Code LLMs
EMNLP 2025
SConU: Selective Conformal Uncertainty in Large Language Models
ACL 2025
SCOPE: A Self-supervised Framework for Improving Faithfulness in Conditional Text Generation
ICLR 2025
Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability
JMLR 2025
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models
ICLR 2025
Score matching for bridges without learning time-reversals
AISTATS 2025
ScoreNet: Consistency-driven Framework with Multi-side Information Fusion for Session-based Recommendation
AAAI 2025
SCOT: Self-Supervised Contrastive Pretraining for Zero-Shot Compositional Retrieval
WACV 2025
SCOUT: Semi-supervised Camouflaged Object Detection by Utilizing Text and Adaptive Data Selection
IJCAI 2025
scRAG: Hybrid Retrieval-Augmented Generation for LLM-based Cross-Tissue Single-Cell Annotation
ACL 2025
Screening, Rectifying, and Re-Screening: A Unified Framework for Tuning Vision-Language Models with Noisy Labels
IJCAI 2025
SCRIBE: Structured Chain Reasoning for Interactive Behaviour Explanations using Tool Calling
EMNLP 2025
scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data
IJCAI 2025
scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data
ICML 2025
SCULPT: Systematic Tuning of Long Prompts
ACL 2025
SD2Actor: Continuous State Decomposition via Diffusion Embeddings for Robotic Manipulation
ICCV 2025
SdalsNet: Self-Distilled Attention Localization and Shift Network for Unsupervised Camouflaged Object Detection
AAAI 2025