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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)

ContextBLIP: Doubly Contextual Alignment for Contrastive Image Retrieval from Linguistically Complex Descriptions ACL 2024 Context Consistency between Training and Inference in Simultaneous Machine Translation ACL 2024 ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-variable Context Encoding UAI 2024 Context-guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data MICCAI 2024 Context-I2W: Mapping Images to Context-Dependent Words for Accurate Zero-Shot Composed Image Retrieval AAAI 2024 Context in Human Action Through Motion Complementarity WACV 2024 Context is Environment ICLR 2024 Contextrast: Contextual Contrastive Learning for Semantic Segmentation CVPR 2024 Context Shapes Emergent Communication about Concepts at Different Levels of Abstraction COLING 2024 Context Tuning for Retrieval Augmented Generation EACL 2024 Contextual Active Model Selection NeurIPS 2024 Contextual Affinity Distillation for Image Anomaly Detection WACV 2024 Contextual Augmented Global Contrast for Multimodal Intent Recognition CVPR 2024 Contextual Bandits with Budgeted Information Reveal AISTATS 2024 Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression JMLR 2024 Contextual Decision-Making with Knapsacks Beyond the Worst Case NeurIPS 2024 Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation EMNLP 2024 Contextual Linear Optimization with Bandit Feedback NeurIPS 2024 Contextual Multinomial Logit Bandits with General Value Functions NeurIPS 2024 Contextual Pandora’s Box AAAI 2024 Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning AAAI 2024 Continual Atlas-Based Segmentation of Prostate MRI WACV 2024 Continual Audio-Visual Sound Separation NeurIPS 2024 Continual Compositional Zero-Shot Learning IJCAI 2024 Continual Contrastive Spoken Language Understanding ACL 2024