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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)

Studying Language Variation Considering the Re-Usability of Modern Theories, Tools and Resources for Annotating Explicit and Implicit Events in Centuries Old Text NAACL 2024 Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks ACL 2024 StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization ICML 2024 Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation NeurIPS 2024 Style Aligned Image Generation via Shared Attention CVPR 2024 StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer COLING 2024 Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection EACL 2024 StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis AAAI 2024 STYLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-Based Domain Generalization WACV 2024 StyLitGAN: Image-Based Relighting via Latent Control CVPR 2024 Subgraph Pooling: Tackling Negative Transfer on Graphs IJCAI 2024 Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning NeurIPS 2024 Subjectivity Detection in English News using Large Language Models ACL 2024 Submodular Reinforcement Learning ICLR 2024 Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning NeurIPS 2024 Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations NAACL 2024 Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals COLING 2024 Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning NeurIPS 2024 Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections EMNLP 2024 SU-FMI at SemEval-2024 Task 5: From BERT Fine-Tuning to LLM Prompt Engineering - Approaches in Legal Argument Reasoning SemEval 2024 SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning AAAI 2024 SUGAR: Pre-training 3D Visual Representations for Robotics CVPR 2024 Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin EMNLP 2024 SumCSE: Summary as a transformation for Contrastive Learning NAACL 2024 SummaCoz: A Dataset for Improving the Interpretability of Factual Consistency Detection for Summarization EMNLP 2024