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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)

Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations ICML 2021 Prediction Under Latent Factor Regression: Adaptive PCR, Interpolating Predictors and Beyond JMLR 2021 Predictive Adversarial Learning from Positive and Unlabeled Data AAAI 2021 Predictive Agent-Based Modeling of Natural Disasters Using Machine Learning AAAI 2021 Preference-Adaptive Meta-Learning for Cold-Start Recommendation IJCAI 2021 Preference-based Online Learning with Dueling Bandits: A Survey JMLR 2021 Preference Elicitation as Average-Case Sorting AAAI 2021 Preferential Temporal Difference Learning ICML 2021 PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation AAAI 2021 Present-Biased Optimization AAAI 2021 Preservational Learning Improves Self-Supervised Medical Image Models by Reconstructing Diverse Contexts ICCV 2021 Preserving Cross-Linguality of Pre-trained Models via Continual Learning ACL 2021 Pre-training Methods for Neural Machine Translation ACL 2021 Pretraining Representations for Data-Efficient Reinforcement Learning NeurIPS 2021 Pre-train or Annotate? Domain Adaptation with a Constrained Budget EMNLP 2021 Preventing Author Profiling through Zero-Shot Multilingual Back-Translation EMNLP 2021 Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract) AAAI 2021 Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking ACL 2021 Pri3D: Can 3D Priors Help 2D Representation Learning? ICCV 2021 Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator L4DC 2021 Primal Wasserstein Imitation Learning ICLR 2021 PrimitiveNet: Primitive Instance Segmentation With Local Primitive Embedding Under Adversarial Metric ICCV 2021 Principled Exploration via Optimistic Bootstrapping and Backward Induction ICML 2021 Prior-independent Dynamic Auctions for a Value-maximizing Buyer NeurIPS 2021 Prioritized Architecture Sampling With Monto-Carlo Tree Search CVPR 2021