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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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20
220
477
4,652
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2000
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Papers (including subtopics)

CLAIM: curriculum learning policy for influence maximization in unknown social networks UAI 2021 Claim Matching Beyond English to Scale Global Fact-Checking ACL 2021 Clairvoyance: A Pipeline Toolkit for Medical Time Series ICLR 2021 CLAR: Contrastive Learning of Auditory Representations AISTATS 2021 Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels ICML 2021 Class-Agnostic Few-Shot Object Counting WACV 2021 Class-Agnostic Object Detection WACV 2021 Class-Attentive Diffusion Network for Semi-Supervised Classification AAAI 2021 Class-Aware Robust Adversarial Training for Object Detection CVPR 2021 Class balancing GAN with a classifier in the loop UAI 2021 Class-Disentanglement and Applications in Adversarial Detection and Defense NeurIPS 2021 CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks EMNLP 2021 Classification by Attention: Scene Graph Classification with Prior Knowledge AAAI 2021 Classification of COVID-19 from Cough Using Autoregressive Predictive Coding Pretraining and Spectral Data Augmentation Interspeech 2021 Classification of COVID19 tweets using Machine Learning Approaches NAACL 2021 Classification of mental illnesses on social media using RoBERTa EACL 2021 Classification of Tweets Self-reporting Adverse Pregnancy Outcomes and Potential COVID-19 Cases Using RoBERTa Transformers NAACL 2021 Classification with Few Tests through Self-Selection AAAI 2021 Classification with Rejection Based on Cost-sensitive Classification ICML 2021 Classification with Strategically Withheld Data AAAI 2021 Class-Incremental Instance Segmentation via Multi-Teacher Networks AAAI 2021 Class-Incremental Learning for Action Recognition in Videos ICCV 2021 Class-Incremental Learning via Dual Augmentation NeurIPS 2021 ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning WACV 2021 CLCC: Contrastive Learning for Color Constancy CVPR 2021