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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 to Select Views for Efficient Multi-View Understanding CVPR 2024 Learning to Shape In-distribution Feature Space for Out-of-distribution Detection NeurIPS 2024 Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models AISTATS 2024 Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming AAAI 2024 Learning to Transform Dynamically for Better Adversarial Transferability CVPR 2024 Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers AAAI 2024 Learning Transferable Features for Implicit Neural Representations NeurIPS 2024 Learning Transferable Negative Prompts for Out-of-Distribution Detection CVPR 2024 Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining WACV 2024 Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition IJCAI 2024 Learning Uncertainty-Aware Temporally-Extended Actions AAAI 2024 Learning Versatile Skills with Curriculum Masking NeurIPS 2024 Learning Vision from Models Rivals Learning Vision from Data CVPR 2024 Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information ECCV 2024 Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical ICML 2024 Learning with Mixture of Prototypes for Out-of-Distribution Detection ICLR 2024 Learning with Noisy Labels Using Hyperspherical Margin Weighting AAAI 2024 Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels CVPR 2024 Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency ICML 2024 Learning with Structural Labels for Learning with Noisy Labels CVPR 2024 Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency CVPR 2024 Learning World Models for Unconstrained Goal Navigation NeurIPS 2024 Learn it or Leave it: Module Composition and Pruning for Continual Learning ACL 2024 Learn more, but bother less: parameter efficient continual learning NeurIPS 2024 Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models ACL 2024