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)
Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up
ACL 2025
Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution
NAACL 2025
Reverse Prompt Engineering: A Zero-Shot, Genetic Algorithm Approach to Language Model Inversion
EMNLP 2025
Reverse Thinking Makes LLMs Stronger Reasoners
NAACL 2025
Reversible Disentanglement of Meaning and Language Representations from Multilingual Sentence Encoders
EMNLP 2025
REVerSum: A Multi-staged Retrieval-Augmented Generation Method to Enhance Wikipedia Tail Biographies through Personal Narratives
COLING 2025
ReviewEval: An Evaluation Framework for AI-Generated Reviews
EMNLP 2025
Revisiting Active Learning under (Human) Label Variation
EMNLP 2025
Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights
ICCV 2025
Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift
CVPR 2025
Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
EMNLP 2025
Revisiting Change Captioning from Self-supervised Global-Part Alignment
AAAI 2025
Revisiting Continual Ultra-fine-grained Visual Recognition with Pre-trained Models
IJCAI 2025
Revisiting Deep Archetypal Analysis for Phenotype Discovery in High Content Imaging
WACV 2025
Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models’ Uncertainty?
ACL 2025
Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction
CVPR 2025
Revisiting Generative Replay for Class Incremental Object Detection
CVPR 2025
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective
AAAI 2025
Revisiting Implicitly Abusive Language Detection: Evaluating LLMs in Zero-Shot and Few-Shot Settings
COLING 2025
Revisiting In-Context Learning with Long Context Language Models
ACL 2025
Revisiting Interpolation for Noisy Label Correction
AAAI 2025
Revisiting Large-Scale Non-convex Distributionally Robust Optimization
ICLR 2025
Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models
ACL 2025
Revisiting MAE Pre-training for 3D Medical Image Segmentation
CVPR 2025
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum
AAAI 2025