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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'25
Papers (including subtopics)
Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning
ICCV 2025
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams
CVPR 2025
Responding to Promises: No-regret learning against followers with memory
L4DC 2025
Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities
ACL 2025
RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability
AAAI 2025
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
ICLR 2025
ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning
EMNLP 2025
Retaining and Enhancing Pre-Trained Knowledge in Vision-Language Models with Prompt Ensembling
WACV 2025
Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation
CVPR 2025
Rethinking Audio-Visual Adversarial Vulnerability from Temporal and Modality Perspectives
ICLR 2025
Rethinking Backdoor Detection Evaluation for Language Models
EMNLP 2025
Rethinking Chain-of-Thought from the Perspective of Self-Training
ICML 2025
Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL
ICML 2025
Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective
IJCAI 2025
Rethinking Cross-Subject Data Splitting for Brain-to-Text Decoding
EMNLP 2025
Rethinking DPO-style Diffusion Aligning Frameworks
ICCV 2025
Rethinking DPO: The Role of Rejected Responses in Preference Misalignment
EMNLP 2025
Rethinking End-to-End 2D to 3D Scene Segmentation in Gaussian Splatting
CVPR 2025
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
CVPR 2025
Rethinking Evaluation Metrics for Grammatical Error Correction: Why Use a Different Evaluation Process than Human?
ACL 2025
Rethinking Few Shot CLIP Benchmarks: A Critical Analysis in the Inductive Setting
ICCV 2025
Rethinking Full Finetuning from Pretraining Checkpoints in Active Learning for African Languages
ACL 2025
Rethinking Graph Contrastive Learning Through Relative Similarity Preservation
IJCAI 2025
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
ICLR 2025
Rethinking KenLM: Good and Bad Model Ensembles for Efficient Text Quality Filtering in Large Web Corpora
ACL 2025