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
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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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Papers (including subtopics)
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
NeurIPS 2021
CLEVE: Contrastive Pre-training for Event Extraction
ACL 2021
CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization
EMNLP 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
ACL 2021
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
AAAI 2021
CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes
ACL 2021
CL-MoNoise: Cross-lingual Lexical Normalization
EMNLP 2021
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
ICML 2021
Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning
IJCAI 2021
Clothing Status Awareness for Long-Term Person Re-Identification
ICCV 2021
Clusformer: A Transformer Based Clustering Approach to Unsupervised Large-Scale Face and Visual Landmark Recognition
CVPR 2021
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels
ICML 2021
Cluster Analysis of Online Mental Health Discourse using Topic-Infused Deep Contextualized Representations
EACL 2021
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
ICML 2021
Clustering by Maximizing Mutual Information Across Views
ICCV 2021
Clustering Effect of Adversarial Robust Models
NeurIPS 2021
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation
ICLR 2021
Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data
IJCAI 2021
Clustering Monolingual Vocabularies to Improve Cross-Lingual Generalization
EMNLP 2021
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
MIDL 2021
CLUZH at SIGMORPHON 2021 Shared Task on Multilingual Grapheme-to-Phoneme Conversion: Variations on a Baseline
ACL 2021
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models
AAAI 2021
CMTA: COVID-19 Misinformation Multilingual Analysis on Twitter
ACL 2021
CNN-Based Processing of Acoustic and Radio Frequency Signals for Speaker Localization from MAVs
Interspeech 2021
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
ICLR 2021