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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

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Deep Latent Generative Models for Energy Disaggregation AAAI 2019 Deep Learning Based Mandarin Accent Identification for Accent Robust ASR Interspeech 2019 Deep Learning for Light Field Saliency Detection ICCV 2019 Deep Learning for Orca Call Type Identification — A Fully Unsupervised Approach Interspeech 2019 Deep Learning of Segment-Level Feature Representation with Multiple Instance Learning for Utterance-Level Speech Emotion Recognition Interspeech 2019 Deep Learning with a Rethinking Structure for Multi-label Classification ACML 2019 DeepLung: Smartphone Convolutional Neural Network-Based Inference of Lung Anomalies for Pulmonary Patients Interspeech 2019 DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds CVPR 2019 Deep Meta Learning for Real-Time Target-Aware Visual Tracking ICCV 2019 Deep Metric Learning by Online Soft Mining and Class-Aware Attention AAAI 2019 Deep Metric Learning to Rank CVPR 2019 Deep Multimodal Clustering for Unsupervised Audiovisual Learning CVPR 2019 Deep Multitask Acoustic Echo Cancellation Interspeech 2019 Deep Multi-Task Learning with Adversarial-and-Cooperative Nets IJCAI 2019 Deep Neural Baselines for Computational Paralinguistics Interspeech 2019 Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL ICLR 2019 Deep Ordinal Regression for Pledge Specificity Prediction EMNLP 2019 Deep Recurrent Survival Analysis AAAI 2019 Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification ICCV 2019 Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference EMNLP 2019 Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning IJCAI 2019 Deep Reinforcement Learning for Subpixel Neural Tracking MIDL 2019 Deep Reinforcement Learning for Syntactic Error Repair in Student Programs AAAI 2019 Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization EMNLP 2019 Deep Residual Neural Networks for Audio Spoofing Detection Interspeech 2019