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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)

EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models ACL 2024 Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking NeurIPS 2024 EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification ACL 2024 Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification JMLR 2024 ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations CVPR 2024 ExMatch: Self-guided Exploitation for Semi-Supervised Learning with Scarce Labeled Samples ECCV 2024 Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning CVPR 2024 Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization AAAI 2024 Expanding Expressiveness of Diffusion Models With Limited Data via Self-Distillation Based Fine-Tuning WACV 2024 Expanding Hyperspherical Space for Few-Shot Class-Incremental Learning WACV 2024 Expanding Sparse Tuning for Low Memory Usage NeurIPS 2024 Expanding the FLORES+ Multilingual Benchmark with Translations for Aragonese, Aranese, Asturian, and Valencian EMNLP 2024 Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch NeurIPS 2024 Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection NeurIPS 2024 Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction ACL 2024 ExpeL: LLM Agents Are Experiential Learners AAAI 2024 Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently EMNLP 2024 Experiments in Automated Generation of Discharge Summaries in Italian COLING 2024 Experiments in Multi-Variant Natural Language Processing for Nahuatl NAACL 2024 Expert with clustering: Hierarchical online preference learning framework L4DC 2024 Explainable Depression Detection Using Large Language Models on Social Media Data EACL 2024 Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes AAAI 2024 Explaining Time Series via Contrastive and Locally Sparse Perturbations ICLR 2024 Explicit Attribute Extraction in e-Commerce Search COLING 2024 Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments EMNLP 2024