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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)

ReBERT at HSD-2Lang 2024: Fine-Tuning BERT with AdamW for Hate Speech Detection in Arabic and Turkish EACL 2024 ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods EMNLP 2024 Recall-Oriented Continual Learning with Generative Adversarial Meta-Model AAAI 2024 Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction IJCAI 2024 Recent Advancements in Inverse Reinforcement Learning AAAI 2024 Recipe for Zero-shot POS Tagging: Is It Useful in Realistic Scenarios? EMNLP 2024 Reciprocal Learning NeurIPS 2024 Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents NeurIPS 2024 Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces ICLR 2024 ReCLIP: Refine Contrastive Language Image Pre-Training With Source Free Domain Adaptation WACV 2024 RecMind: Large Language Model Powered Agent For Recommendation NAACL 2024 Recognition of Unseen Bird Species by Learning From Field Guides WACV 2024 Recognize Any Regions NeurIPS 2024 Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization AAAI 2024 RecomMind: Movie Recommendation Dialogue with Seeker’s Internal State EMNLP 2024 Reconfigurability-Aware Selection for Contrastive Active Domain Adaptation IJCAI 2024 ReConPatch: Contrastive Patch Representation Learning for Industrial Anomaly Detection WACV 2024 Reconstruction of Manipulated Garment with Guided Deformation Prior NeurIPS 2024 Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning IJCAI 2024 ReCoRe: Regularized Contrastive Representation Learning of World Model CVPR 2024 RECOST: External Knowledge Guided Data-efficient Instruction Tuning ACL 2024 Rectifying Demonstration Shortcut in In-Context Learning NAACL 2024 Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery NeurIPS 2024 Recurrent Concept Drifts on Data Streams IJCAI 2024 Recurrent Reinforcement Learning with Memoroids NeurIPS 2024