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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)

Learning Discrete-Time Major-Minor Mean Field Games AAAI 2024 Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection CVPR 2024 Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization NeurIPS 2024 Learning Distinguishable Trajectory Representation with Contrastive Loss NeurIPS 2024 Learning Distributionally Robust Tractable Probabilistic Models in Continuous Domains UAI 2024 Learning diverse causally emergent representations from time series data NeurIPS 2024 Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach JMLR 2024 Learning Dynamic Multi-attribute Interest for Personalized Product Search EMNLP 2024 Learning dynamic representations of the functional connectome in neurobiological networks ICLR 2024 Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret AAAI 2024 Learning Equi-angular Representations for Online Continual Learning CVPR 2024 Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NeurIPS 2024 Learning Fair Division from Bandit Feedback AISTATS 2024 Learning Fair Policies for Multi-Stage Selection Problems from Observational Data AAAI 2024 Learning Fair Representations for Recommendation via Information Bottleneck Principle IJCAI 2024 Learning Formal Mathematics From Intrinsic Motivation NeurIPS 2024 Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning AAAI 2024 Learning from an Infant’s Visual Experience AAAI 2024 Learning from Back Chunks: Acquiring More Future Knowledge for Streaming ASR Models via Self Distillation Interspeech 2024 Learning from Crowds with Dual-View K-Nearest Neighbor UAI 2024 Learning from Failure: Improving Meeting Summarization without Good Samples AAAI 2024 Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks NeurIPS 2024 Learning from Highly Sparse Spatio-temporal Data NeurIPS 2024 Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration AAAI 2024 Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation ICLR 2024