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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)

Sample-efficient Bayesian Optimisation Using Known Invariances NeurIPS 2024 Sample-Efficient Constrained Reinforcement Learning with General Parameterization NeurIPS 2024 Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight ICLR 2024 Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks ICLR 2024 Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs AISTATS 2024 Sample-Efficient Quality-Diversity by Cooperative Coevolution ICLR 2024 Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge AAAI 2024 Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering AAAI 2024 Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity COLT 2024 Sample Selection via Contrastive Fragmentation for Noisy Label Regression NeurIPS 2024 Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems AISTATS 2024 Samsung R&D Institute Philippines @ WMT 2024 Indic MT Task EMNLP 2024 SAOR: Single-View Articulated Object Reconstruction CVPR 2024 SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models ACL 2024 SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series NeurIPS 2024 SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training AAAI 2024 SAT-Based Tree Decomposition with Iterative Cascading Policy Selection AAAI 2024 Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks NeurIPS 2024 Satyrn: A Platform for Analytics Augmented Generation EMNLP 2024 SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection AAAI 2024 SA-WavLM: Speaker-Aware Self-Supervised Pre-training for Mixture Speech Interspeech 2024 SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales EMNLP 2024 Scalable Early Childhood Reading Performance Prediction NeurIPS 2024 Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach EMNLP 2024 Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data JMLR 2024