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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)

Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means IJCAI 2024 Efficient Hyperparameter Optimization with Adaptive Fidelity Identification CVPR 2024 Efficient imitation learning with conservative world models L4DC 2024 Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning NAACL 2024 Efficient Interactive Maximization of BP and Weakly Submodular Objectives UAI 2024 Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval ACL 2024 Efficient Knowledge Infusion via KG-LLM Alignment ACL 2024 Efficient Learning in Polyhedral Games via Best-Response Oracles AAAI 2024 Efficient Lifelong Model Evaluation in an Era of Rapid Progress NeurIPS 2024 Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons EMNLP 2024 Efficient LLM Scheduling by Learning to Rank NeurIPS 2024 Efficient local linearity regularization to overcome catastrophic overfitting ICLR 2024 Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024 Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024 Efficiently Learning One-Hidden-Layer ReLU Networks via SchurPolynomials COLT 2024 Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms NeurIPS 2024 Efficient Modality Selection in Multimodal Learning JMLR 2024 Efficient multi-prompt evaluation of LLMs NeurIPS 2024 Efficient Multitask Dense Predictor via Binarization CVPR 2024 Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters NeurIPS 2024 Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference IJCAI 2024 Efficient Neural Architecture Design via Capturing Architecture-Performance Joint Distribution AISTATS 2024 Efficient OCR for Building a Diverse Digital History ACL 2024 Efficient Online Crowdsourcing with Complex Annotations AAAI 2024 Efficient Overshadowed Entity Disambiguation by Mitigating Shortcut Learning EMNLP 2024