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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)

Persistent Test-time Adaptation in Recurring Testing Scenarios NeurIPS 2024 Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems EMNLP 2024 Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models AAAI 2024 Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models NeurIPS 2024 Personalized Federated Learning for Cross-City Traffic Prediction IJCAI 2024 Personalized Federated Learning via Feature Distribution Adaptation NeurIPS 2024 Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning NeurIPS 2024 Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts EMNLP 2024 Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization NeurIPS 2024 Personalized Topic Selection Model for Topic-Grounded Dialogue ACL 2024 Personalize Segment Anything Model with One Shot ICLR 2024 Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NeurIPS 2024 Personal Large Language Model Agents: A Case Study on Tailored Travel Planning EMNLP 2024 Personas as a Way to Model Truthfulness in Language Models EMNLP 2024 Perspectives on Hate: General vs. Domain-Specific Models COLING 2024 PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations NeurIPS 2024 Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection IJCAI 2024 Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off AAAI 2024 Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models CVPR 2024 Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning ICLR 2024 Pessimistic Off-Policy Multi-Objective Optimization AISTATS 2024 PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text? SemEval 2024 PFA-ERC: Psuedo-Future Augmented Dynamic Emotion Recognition in Conversations EMNLP 2024 PFCA-Net: Pyramid Feature Fusion and Cross Content Attention Network for Automated Audio Captioning Interspeech 2024 pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning NeurIPS 2024