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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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477
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2000
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Papers (including subtopics)

Reward-Free Exploration for Reinforcement Learning ICML 2020 Reward Prediction Error as an Exploration Objective in Deep RL IJCAI 2020 Reward-rational (implicit) choice: A unifying formalism for reward learning NeurIPS 2020 Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement NeurIPS 2020 RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis ICLR 2020 RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection SemEval 2020 Risk-Averse Trust Region Optimization for Reward-Volatility Reduction IJCAI 2020 Risk Bounds for Low Cost Bipartite Ranking UAI 2020 RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework AAAI 2020 RIVA: A Pre-trained Tweet Multimodal Model Based on Text-image Relation for Multimodal NER COLING 2020 RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning AAAI 2020 RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network CVPR 2020 ROAM: Recurrently Optimizing Tracking Model CVPR 2020 Robot Object Retrieval with Contextual Natural Language Queries RSS 2020 Robust Adversarial Objects against Deep Learning Models AAAI 2020 Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization NeurIPS 2020 Robust and Stable Black Box Explanations ICML 2020 Robust causal inference under covariate shift via worst-case subpopulation treatment effects COLT 2020 Robust Collective Classification against Structural Attacks UAI 2020 Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons AAAI 2020 Robust contrastive learning and nonlinear ICA in the presence of outliers UAI 2020 Robust Data Programming with Precision-guided Labeling Functions AAAI 2020 Robust Deep Ordinal Regression under Label Noise ACML 2020 Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory CVPR 2020 Robust Disentanglement of a Few Factors at a Time using rPU-VAE NeurIPS 2020