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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)

P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains EMNLP 2024 PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance AAAI 2024 PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting NeurIPS 2024 Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors AAAI 2024 Phased Consistency Models NeurIPS 2024 Phased Instruction Fine-Tuning for Large Language Models ACL 2024 PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design JMLR 2024 PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise Hardness CVPR 2024 Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion AAAI 2024 Phonetic and Lexical Discovery of Canine Vocalization EMNLP 2024 Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving CVPR 2024 Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning NeurIPS 2024 Physical Property Understanding from Language-Embedded Feature Fields CVPR 2024 Physics-Constrained Comprehensive Optical Neural Networks NeurIPS 2024 Physics-constrained learning of PDE systems with uncertainty quantified port-Hamiltonian models L4DC 2024 Physics-Informed Graph Neural Networks for Water Distribution Systems AAAI 2024 Physics-informed machine learning as a kernel method COLT 2024 Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling NeurIPS 2024 Physics-Informed Representation and Learning: Control and Risk Quantification AAAI 2024 Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization NeurIPS 2024 Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks AAAI 2024 Piecewise-Stationary Bandits with Knapsacks NeurIPS 2024 PIGEON: Predicting Image Geolocations CVPR 2024 PILOT: An O(1/K)-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation ICLR 2024 Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs CVPR 2024