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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)

Performance Improvement of Speech Emotion Recognition by Neutral Speech Detection Using Autoencoder and Intermediate Representation Interspeech 2022 Performative Prediction in a Stateful World AISTATS 2022 Perform like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference COLING 2022 Persian Natural Language Inference: A Meta-learning Approach COLING 2022 Personalized Federated Learning through Local Memorization ICML 2022 Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness NeurIPS 2022 Personalized Image Aesthetics Assessment With Rich Attributes CVPR 2022 Personalized Keyword Spotting through Multi-task Learning Interspeech 2022 Personalized Online Federated Learning with Multiple Kernels NeurIPS 2022 Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows AAAI 2022 Persona or Context? Towards Building Context adaptive Personalized Persuasive Virtual Sales Assistant AACL 2022 Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense ACL 2022 Perturbation type categorization for multiple adversarial perturbation robustness UAI 2022 Perturbed and Strict Mean Teachers for Semi-Supervised Semantic Segmentation CVPR 2022 PESE: Event Structure Extraction using Pointer Network based Encoder-Decoder Architecture AACL 2022 Pessimism for Offline Linear Contextual Bandits using ℓ_p Confidence Sets NeurIPS 2022 Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning ICLR 2022 Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022 Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity ICML 2022 PetsGAN: Rethinking Priors for Single Image Generation AAAI 2022 Phase Transition from Clean Training to Adversarial Training NeurIPS 2022 Phase transitions in when feedback is useful NeurIPS 2022 PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence ACL 2022 PHO-LID: A Unified Model Incorporating Acoustic-Phonetic and Phonotactic Information for Language Identification Interspeech 2022 Phonetic Analysis of Self-supervised Representations of English Speech Interspeech 2022