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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
9,258
2000
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Papers (including subtopics)

Deep Robust Subjective Visual Property Prediction in Crowdsourcing CVPR 2019 Deep Robust Unsupervised Multi-Modal Network AAAI 2019 Deep Self-Learning From Noisy Labels ICCV 2019 Deep Topic Models for Multi-label Learning AISTATS 2019 Deep Tree Learning for Zero-Shot Face Anti-Spoofing CVPR 2019 Deep Unknown Intent Detection with Margin Loss ACL 2019 DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision NeurIPS 2019 Defending Against Adversarial Attacks by Randomized Diversification CVPR 2019 Defending Against Universal Perturbations With Shared Adversarial Training ICCV 2019 Defending against Whitebox Adversarial Attacks via Randomized Discretization AISTATS 2019 Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training NeurIPS 2019 Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search CVPR 2019 DEFSI: Deep Learning Based Epidemic Forecasting with Synthetic Information AAAI 2019 Deliberate Attention Networks for Image Captioning AAAI 2019 Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings EMNLP 2019 Demo: Learning to Perceive Long-Range Obstacles Using Self-Supervision from Short-Range Sensors AAAI 2019 DENS: A Dataset for Multi-class Emotion Analysis EMNLP 2019 Dense Classification and Implanting for Few-Shot Learning CVPR 2019 Densely Supervised Grasp Detector (DSGD) AAAI 2019 Density Matching for Bilingual Word Embedding NAACL 2019 Dependency or Span, End-to-End Uniform Semantic Role Labeling AAAI 2019 Dependency Tree Annotation with Mechanical Turk EMNLP 2019 Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras ICCV 2019 Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos AAAI 2019 Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains AAAI 2019