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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)

Multimodal Representation Learning by Alternating Unimodal Adaptation CVPR 2024 Multi-modal Semantic Understanding with Contrastive Cross-modal Feature Alignment COLING 2024 Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning NeurIPS 2024 Multi-modal Transfer Learning between Biological Foundation Models NeurIPS 2024 Multi-Model System for Effective Subtitling Compression ACL 2024 Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024 Multi-objective Counterfactuals in Bayesian Classifiers with Estimation of Distribution Algorithms PGM 2024 Multiobjective Lipschitz Bandits under Lexicographic Ordering AAAI 2024 MultiOrg: A Multi-rater Organoid-detection Dataset NeurIPS 2024 Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning ICML 2024 Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions AAAI 2024 Multiple Sources are Better Than One: Incorporating External Knowledge in Low-Resource Glossing EMNLP 2024 Multiplex Graph Representation Learning via Bi-level Optimization IJCAI 2024 Multi-Resolution Active Learning of Fourier Neural Operators AISTATS 2024 Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction ICLR 2024 Multi-resolution Time-Series Transformer for Long-term Forecasting AISTATS 2024 Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems AAAI 2024 Multiscale Positive-Unlabeled Detection of AI-Generated Texts ICLR 2024 Multi-Scale Prompt Memory-Augmented Model for Black-Box Scenarios NAACL 2024 Multi-Scale Video Anomaly Detection by Multi-Grained Spatio-Temporal Representation Learning CVPR 2024 Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking AAAI 2024 Multi-Source Domain Adaptation for Object Detection With Prototype-Based Mean Teacher WACV 2024 Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation EMNLP 2024 Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation ACL 2024 Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition COLING 2024