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)
Cross-Modality Person Re-identification with Memory-Based Contrastive Embedding
AAAI 2023
Cross-Modal Label Contrastive Learning for Unsupervised Audio-Visual Event Localization
AAAI 2023
Cross-Modal Orthogonal High-Rank Augmentation for RGB-Event Transformer-Trackers
ICCV 2023
Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream Tasks
NeurIPS 2023
Cross-modal Scalable Hyperbolic Hierarchical Clustering
ICCV 2023
Cross-Modal Semantic Alignment before Fusion for Two-Pass End-to-End Spoken Language Understanding
Interspeech 2023
Cross-Modal Semantic Enhanced Interaction for Image-Sentence Retrieval
WACV 2023
Cross Modal Transformer: Towards Fast and Robust 3D Object Detection
ICCV 2023
Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning
ACL 2023
Cross-Regional Fraud Detection via Continual Learning (Student Abstract)
AAAI 2023
Cross-Scale MAE: A Tale of Multiscale Exploitation in Remote Sensing
NeurIPS 2023
CrossSplit: Mitigating Label Noise Memorization through Data Splitting
ICML 2023
Cross-task Knowledge Transfer for Extremely Weakly Supervised Text Classification
ACL 2023
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training
ACL 2023
Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering
ICCV 2023
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model
CVPR 2023
CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL
EMNLP 2023
Crystal: Introspective Reasoners Reinforced with Self-Feedback
EMNLP 2023
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions
NeurIPS 2023
CSDA: Learning Category-Scale Joint Feature for Domain Adaptive Object Detection
ICCV 2023
CSECU-DSG at SemEval-2023 Task 6: Segmenting Legal Documents into Rhetorical Roles via Fine-tuned Transformer Architecture
SemEval 2023
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation
CVPR 2023
CSGCL: Community-Strength-Enhanced Graph Contrastive Learning
IJCAI 2023
CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation
NeurIPS 2023
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion
NeurIPS 2023