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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'10
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'20
'25
Papers (including subtopics)
Clustering-Aware Negative Sampling for Unsupervised Sentence Representation
ACL 2023
Clustering High-dimensional Data with Ordered Weighted ℓ_1 Regularization
AISTATS 2023
ClusterLLM: Large Language Models as a Guide for Text Clustering
EMNLP 2023
ClusterPrompt: Cluster Semantic Enhanced Prompt Learning for New Intent Discovery
EMNLP 2023
Cluster-Specific Predictions with Multi-Task Gaussian Processes
JMLR 2023
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
ICML 2023
CMNet: Contrastive Magnification Network for Micro-Expression Recognition
AAAI 2023
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
AAAI 2023
CNN2Graph: Building Graphs for Image Classification
WACV 2023
C-NTPP: Learning Cluster-Aware Neural Temporal Point Process
AAAI 2023
Co2PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning
EMNLP 2023
CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving
ICLR 2023
Coaching a Teachable Student
CVPR 2023
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation
ACL 2023
CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation
EMNLP 2023
Coarse2Fine: Local Consistency Aware Re-prediction for Weakly Supervised Object Localization
AAAI 2023
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D
ICML 2023
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality
EMNLP 2023
Coarse-to-Fine Dual Encoders are Better Frame Identification Learners
EMNLP 2023
Coarse-to-fine Few-shot Learning for Named Entity Recognition
ACL 2023
CoAug: Combining Augmentation of Labels and Labelling Rules
ACL 2023
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
ICML 2023
CoBERT: Self-Supervised Speech Representation Learning Through Code Representation Learning
Interspeech 2023
COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering
AAAI 2023
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis
ICML 2023