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
'5
'10
'15
'20
'25
Papers (including subtopics)
ResAD: A Simple Framework for Class Generalizable Anomaly Detection
NeurIPS 2024
Research of Event Reconstruct Based on Multi-View Contrastive Learning (Student Abstract)
AAAI 2024
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization
NeurIPS 2024
Resilience of Large Language Models for Noisy Instructions
EMNLP 2024
Resilient Constrained Reinforcement Learning
AISTATS 2024
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective
AAAI 2024
Resisting the Lure of the Skyline: Grounding Practices in Active Learning for Morphological Inflection
ACL 2024
ResLoRA: Identity Residual Mapping in Low-Rank Adaption
ACL 2024
Resource Acquisition for Understudied Languages: Extracting Wordlists from Dictionaries for Computer-assisted Language Comparison
COLING 2024
Resource-Aware Federated Self-Supervised Learning with Global Class Representations
NeurIPS 2024
Resource-Efficient Transformer Pruning for Finetuning of Large Models
CVPR 2024
Response Enhanced Semi-supervised Dialogue Query Generation
AAAI 2024
Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility
AAAI 2024
Restless bandits with rewards generated by a linear Gaussian dynamical system
L4DC 2024
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search
NeurIPS 2024
Restoration by Generation with Constrained Priors
CVPR 2024
Restoring Mycenaean Linear B ‘A&B’ series tablets using supervised and transfer learning
ACL 2024
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
CVPR 2024
Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models
COLING 2024
Rethink Cross-Modal Fusion in Weakly-Supervised Audio-Visual Video Parsing
WACV 2024
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
ICLR 2024
Rethinking Adversarial Robustness in the Context of the Right to be Forgotten
ICML 2024
Rethinking Causal Relationships Learning in Graph Neural Networks
AAAI 2024
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
ICLR 2024
Rethinking Correlation Learning via Label Prior for Open Set Domain Adaptation
IJCAI 2024