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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)

Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes AISTATS 2024 Neural Model Checking NeurIPS 2024 Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces CVPR 2024 Neural Network Approximation for Pessimistic Offline Reinforcement Learning AAAI 2024 Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations NeurIPS 2024 Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation CVPR 2024 Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses NeurIPS 2024 NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks NeurIPS 2024 Neural Style Protection: Counteracting Unauthorized Neural Style Transfer WACV 2024 Neuroevolution of a Multi-Generator GAN (Student Abstract) AAAI 2024 Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning ICLR 2024 Neuromorphic Event Signal-Driven Network for Video De-raining AAAI 2024 Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation EMNLP 2024 Neuro-Symbolic Data Generation for Math Reasoning NeurIPS 2024 NeuroSymbolic LLM for Mathematical Reasoning and Software Engineering IJCAI 2024 New Intent Discovery with Attracting and Dispersing Prototype COLING 2024 News Deja Vu: Connecting Past and Present with Semantic Search NAACL 2024 News Risk Alerting System (NRAS): A Data-Driven LLM Approach to Proactive Credit Risk Monitoring EMNLP 2024 NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates NeurIPS 2024 NExT: Teaching Large Language Models to Reason about Code Execution ICML 2024 Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical Regularisation EACL 2024 NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning CVPR 2024 NICE: To Optimize In-Context Examples or Not? ACL 2024 NightCC: Nighttime Color Constancy via Adaptive Channel Masking CVPR 2024 NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction AAAI 2024