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)
Reconciling Model Multiplicity for Downstream Decision Making
ICLR 2025
Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual
CVPR 2025
Reconsidering LLM Uncertainty Estimation Methods in the Wild
ACL 2025
Reconstructing Animals and the Wild
CVPR 2025
Reconstructing Cell Lineage Trees from Phenotypic Features with Metric Learning
ICML 2025
Reconstructive Visual Instruction Tuning
ICLR 2025
RecordTwin: Towards Creating Safe Synthetic Clinical Corpora
ACL 2025
ReCoT: Reflective Self-Correction Training for Mitigating Confirmation Bias in Large Vision-Language Models
ICCV 2025
Recoverable Facial Identity Protection via Adaptive Makeup Transfer Adversarial Attacks
AAAI 2025
RecStream: Graph-aware Stream Management for Concurrent Recommendation Model Online Serving
COLING 2025
ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training
WACV 2025
Recurrence-Based Vanishing Point Detection
WACV 2025
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
ACL 2025
Recurrent Neural Goodness-of-Fit Test for Time Series
AISTATS 2025
Recursive Learning of Asymptotic Variational Objectives
AISTATS 2025
Recursive Question Understanding for Complex Question Answering over Heterogeneous Personal Data
ACL 2025
Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data?
EMNLP 2025
ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization
EMNLP 2025
RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Linguistic Classifiers
COLING 2025
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability
ICLR 2025
ReDepress: A Cognitive Framework for Detecting Depression Relapse from Social Media
EMNLP 2025
RedHerring Attack: Testing the Reliability of Attack Detection
EMNLP 2025
Red-Teaming LLM Multi-Agent Systems via Communication Attacks
ACL 2025
Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds
CVPR 2025
Reducing Leximin Fairness to Utilitarian Optimization
AAAI 2025