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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)

Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NeurIPS 2024 Meta-Evaluation of Sentence Simplification Metrics COLING 2024 MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic EMNLP 2024 Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors IJCAI 2024 Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning WACV 2024 Meta Learning in Bandits within shared affine Subspaces AISTATS 2024 Meta-Learning Priors Using Unrolled Proximal Networks ICLR 2024 MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration EMNLP 2024 Metaphor Detection with Context Enhancement and Curriculum Learning NAACL 2024 Metaphors in Online Religious Communication: A Detailed Dataset and Cross-Genre Metaphor Detection COLING 2024 MetaReflection: Learning Instructions for Language Agents using Past Reflections EMNLP 2024 MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024 MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking ACL 2024 MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning NeurIPS 2024 METRA: Scalable Unsupervised RL with Metric-Aware Abstraction ICLR 2024 Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation NeurIPS 2024 Metric Learning from Limited Pairwise Preference Comparisons UAI 2024 Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP EMNLP 2024 MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task EMNLP 2024 mForms : Multimodal Form Filling with Question Answering COLING 2024 MFOS: Model-Free & One-Shot Object Pose Estimation AAAI 2024 MGCL: Multi-Granularity Clue Learning for Emotion-Cause Pair Extraction via Cross-Grained Knowledge Distillation EMNLP 2024 MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction NeurIPS 2024 MHGRL: An Effective Representation Learning Model for Electronic Health Records COLING 2024 mHuBERT-147: A Compact Multilingual HuBERT Model Interspeech 2024