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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)

Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation AAAI 2019 Integral Object Mining via Online Attention Accumulation ICCV 2019 Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning NeurIPS 2019 Integrating Learning with Game Theory for Societal Challenges IJCAI 2019 Integrating Semantic Knowledge to Tackle Zero-shot Text Classification NAACL 2019 Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts EMNLP 2019 Intelligent Querying in Camera Networks for Efficient Target Tracking IJCAI 2019 Interaction Detection with Bayesian Decision Tree Ensembles AISTATS 2019 Interactive Attention Transfer Network for Cross-Domain Sentiment Classification AAAI 2019 Interactive Evidence Detection: train state-of-the-art model out-of-domain or simple model interactively? EMNLP 2019 Interactive Full Image Segmentation by Considering All Regions Jointly CVPR 2019 Interactive Image Segmentation via Backpropagating Refinement Scheme CVPR 2019 Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation ICCV 2019 Interactive Teaching Algorithms for Inverse Reinforcement Learning IJCAI 2019 Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling ACL 2019 Interpolation Consistency Training for Semi-supervised Learning IJCAI 2019 Interpretable Almost Matching Exactly With Instrumental Variables UAI 2019 Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks CVPR 2019 Interpretable Deep Learning Model for the Detection and Reconstruction of Dysarthric Speech Interspeech 2019 Interpretable Predictive Modeling for Climate Variables with Weighted Lasso AAAI 2019 Interpretation of Neural Networks Is Fragile AAAI 2019 Interpreting Adversarially Trained Convolutional Neural Networks ICML 2019 InterSpot: Interactive Spammer Detection in Social Media IJCAI 2019 Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness NeurIPS 2019 Invariant-Equivariant Representation Learning for Multi-Class Data ICML 2019