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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)

Privately Aligning Language Models with Reinforcement Learning ICLR 2024 PrivObfNet: A Weakly Supervised Semantic Segmentation Model for Data Protection WACV 2024 Probabilistically Rewired Message-Passing Neural Networks ICLR 2024 Probabilistic Calibration by Design for Neural Network Regression AISTATS 2024 Probabilistic Contrastive Learning for Domain Adaptation IJCAI 2024 Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data NeurIPS 2024 Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024 Probabilistic reconciliation of mixed-type hierarchical time series UAI 2024 Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization ICLR 2024 Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks NeurIPS 2024 Probabilities of Causation with Nonbinary Treatment and Effect AAAI 2024 Probing Critical Learning Dynamics of PLMs for Hate Speech Detection EACL 2024 Probing Language Models for Pre-training Data Detection ACL 2024 Probing the 3D Awareness of Visual Foundation Models CVPR 2024 ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons NeurIPS 2024 ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning AAAI 2024 Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation NeurIPS 2024 ProConSuL: Project Context for Code Summarization with LLMs EMNLP 2024 ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search COLING 2024 ProcSim: Proxy-Based Confidence for Robust Similarity Learning WACV 2024 Producing and Leveraging Online Map Uncertainty in Trajectory Prediction CVPR 2024 Product Description and QA Assisted Self-Supervised Opinion Summarization NAACL 2024 PRODuctive bandits: Importance Weighting No More NeurIPS 2024 ProG: A Graph Prompt Learning Benchmark NeurIPS 2024 PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation ICLR 2024