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

Robustness Guarantees for Density Clustering AISTATS 2019 Robustness to Adversarial Perturbations in Learning from Incomplete Data NeurIPS 2019 Robustness to Capitalization Errors in Named Entity Recognition EMNLP 2019 Robustness Verification of Classification Deep Neural Networks via Linear Programming CVPR 2019 Robustness Verification of Tree-based Models NeurIPS 2019 Robustness via Curvature Regularization, and Vice Versa CVPR 2019 Robust Neural Machine Translation with Doubly Adversarial Inputs ACL 2019 Robust Ordinal Embedding from Contaminated Relative Comparisons AAAI 2019 Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space IJCAI 2019 Robust Semantic Parsing with Adversarial Learning for Domain Generalization NAACL 2019 Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances CoRL 2019 Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling CVPR 2019 Robust Zero-Shot Cross-Domain Slot Filling with Example Values ACL 2019 Rotational Diversity in Multi-Cycle Assignment Problems AAAI 2019 RTM Stacking Results for Machine Translation Performance Prediction ACL 2019 RUDDER: Return Decomposition for Delayed Rewards NeurIPS 2019 Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem AAAI 2019 R-Vectors: New Technique for Adaptation to Room Acoustics Interspeech 2019 S4L: Self-Supervised Semi-Supervised Learning ICCV 2019 Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments IJCAI 2019 Safeguarded Dynamic Label Regression for Noisy Supervision AAAI 2019 Safe Policy Improvement with Baseline Bootstrapping in Factored Environments AAAI 2019 Salient Speech Representations Based on Cloned Networks Interspeech 2019 Same-Cluster Querying for Overlapping Clusters NeurIPS 2019 Sample Efficient Active Learning of Causal Trees NeurIPS 2019