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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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Papers (including subtopics)

State Entropy Maximization with Random Encoders for Efficient Exploration ICML 2021 State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract) AAAI 2021 Statistical Guarantees for Local Spectral Clustering on Random Neighborhood Graphs JMLR 2021 Statistically and Computationally Efficient Linear Meta-representation Learning NeurIPS 2021 Statistical Undecidability in Linear, Non-Gaussian Causal Models in the Presence of Latent Confounders NeurIPS 2021 Staying in shape: learning invariant shape representations using contrastive learning UAI 2021 Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19 AAAI 2021 STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data NeurIPS 2021 Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations AAAI 2021 StickyPillars: Robust and Efficient Feature Matching on Point Clouds Using Graph Neural Networks CVPR 2021 Stochastic Approximation for Online Tensorial Independent Component Analysis COLT 2021 Stochastic Bandits with Graph Feedback in Non-Stationary Environments AAAI 2021 Stochastic bandits with groups of similar arms. NeurIPS 2021 Stochastic Linear Bandits Robust to Adversarial Attacks AISTATS 2021 Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions ICML 2021 Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge NeurIPS 2021 Stochastic Online Optimization using Kalman Recursion JMLR 2021 Stochastic Whitening Batch Normalization CVPR 2021 Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach AAAI 2021 Storage Fit Learning with Feature Evolvable Streams AAAI 2021 StoryDB: Broad Multi-language Narrative Dataset EMNLP 2021 STraTA: Self-Training with Task Augmentation for Better Few-shot Learning EMNLP 2021 Strategic Behavior is Bliss: Iterative Voting Improves Social Welfare NeurIPS 2021 Strategic Classification in the Dark ICML 2021 Strategic Classification Made Practical ICML 2021