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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)

Model Editing at Scale leads to Gradual and Catastrophic Forgetting ACL 2024 Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NeurIPS 2024 Model-Free Preference Elicitation IJCAI 2024 Model-Free Representation Learning and Exploration in Low-Rank MDPs JMLR 2024 Model-Free Robust Reinforcement Learning with Sample Complexity Analysis UAI 2024 Model Fusion through Bayesian Optimization in Language Model Fine-Tuning NeurIPS 2024 Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction AAAI 2024 ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models EACL 2024 Modeling Caption Diversity in Contrastive Vision-Language Pretraining ICML 2024 Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use CVPR 2024 Modeling Continuous Motion for 3D Point Cloud Object Tracking AAAI 2024 Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning ACL 2024 Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems NeurIPS 2024 Modeling Moravian Memoirs: Ternary Sentiment Analysis in a Low Resource Setting EACL 2024 Modeling Overregularization in Children with Small Language Models ACL 2024 Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation EMNLP 2024 Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation EMNLP 2024 Model Inversion Robustness: Can Transfer Learning Help? CVPR 2024 Modelling Variability in Human Annotator Simulation ACL 2024 Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory NeurIPS 2024 Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning AAAI 2024 Model Sensitivity Aware Continual Learning NeurIPS 2024 Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models ICML 2024 Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks AAAI 2024 ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis ICLR 2024