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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

PoRank: A Practical Framework for Learning to Rank Policies IJCAI 2024 PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization CVPR 2024 Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery CVPR 2024 Poseidon: Efficient Foundation Models for PDEs NeurIPS 2024 Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue IJCAI 2024 Position Engineering: Boosting Large Language Models through Positional Information Manipulation EMNLP 2024 Position: Quo Vadis, Unsupervised Time Series Anomaly Detection? ICML 2024 Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation CVPR 2024 Positivity-free Policy Learning with Observational Data AISTATS 2024 POSIX: A Prompt Sensitivity Index For Large Language Models EMNLP 2024 POS Tagging for the Endangered Dagur Language COLING 2024 Post-Correction of Historical Text Transcripts with Large Language Models: An Exploratory Study EACL 2024 Posterior Uncertainty Quantification in Neural Networks using Data Augmentation AISTATS 2024 Post-Hoc Reversal: Are We Selecting Models Prematurely? NeurIPS 2024 Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation NeurIPS 2024 Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract) AAAI 2024 Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract) AAAI 2024 Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract) AAAI 2024 Power Mean Estimation in Stochastic Monte-Carlo Tree Search UAI 2024 Power of knockoff: The impact of ranking algorithm, augmented design, and symmetric statistic JMLR 2024 PowerPM: Foundation Model for Power Systems NeurIPS 2024 PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation AAAI 2024 PPTC-R benchmark: Towards Evaluating the Robustness of Large Language Models for PowerPoint Task Completion EMNLP 2024 Practical Sentiment Analysis for Education: The Power of Student Crowdsourcing AAAI 2024 Practice Makes Perfect: Planning to Learning Skill Parameter Policies RSS 2024