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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)

Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference NeurIPS 2024 Active Set Ordering NeurIPS 2024 Active Test-Time Adaptation: Theoretical Analyses and An Algorithm ICLR 2024 Active Transfer Learning for Efficient Video-Specific Human Pose Estimation WACV 2024 Activity-Based Early Autism Diagnosis Using a Multi-Dataset Supervised Contrastive Learning Approach WACV 2024 ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets NeurIPS 2024 ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization ACL 2024 A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models ACL 2024 Ada-Instruct: Adapting Instruction Generators for Complex Reasoning EMNLP 2024 AdaKron: An Adapter-based Parameter Efficient Model Tuning with Kronecker Product COLING 2024 AdaMerging: Adaptive Model Merging for Multi-Task Learning ICLR 2024 AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models NeurIPS 2024 AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases NeurIPS 2024 Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers EMNLP 2024 Adapters Strike Back CVPR 2024 Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract) AAAI 2024 Adapting LLM Predictions in In-Context Learning with Data Priors EMNLP 2024 Adapting LLM to Multi-lingual ESG Impact and Length Prediction Using In-context Learning and Fine-Tuning with Rationale COLING 2024 Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control ICML 2024 Adapting the Attention of Cloud-Based Recognition Model to Client-Side Images without Local Re-Training ACML 2024 Adapting to Distribution Shift by Visual Domain Prompt Generation ICLR 2024 Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images CVPR 2024 Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning EMNLP 2024 Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning NeurIPS 2024 Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search AAAI 2024