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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)

NJUST-KMG at TRAC-2024 Tasks 1 and 2: Offline Harm Potential Identification COLING 2024 NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries EACL 2024 NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QA SemEval 2024 NLPDame at ClimateActivism 2024: Mistral Sequence Classification with PEFT for Hate Speech, Targets and Stance Event Detection EACL 2024 NLP_DI at NADI 2024 shared task: Multi-label Arabic Dialect Classifications with an Unsupervised Cross-Encoder ACL 2024 NLP for Digital Humanities: Processing Chronological Text Corpora EMNLP 2024 NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual Relatedness SemEval 2024 No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages EMNLP 2024 NodeMixup: Tackling Under-Reaching for Graph Neural Networks AAAI 2024 No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models NeurIPS 2024 Noise-Aware Image Captioning with Progressively Exploring Mismatched Words AAAI 2024 NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition EMNLP 2024 NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models CVPR 2024 Noise Correction on Subjective Datasets ACL 2024 NoiseGPT: Label Noise Detection and Rectification through Probability Curvature NeurIPS 2024 Noise, Novels, Numbers. A Framework for Detecting and Categorizing Noise in Danish and Norwegian Literature EMNLP 2024 Noisy-Correspondence Learning for Text-to-Image Person Re-identification CVPR 2024 Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation AAAI 2024 NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise NeurIPS 2024 Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom NeurIPS 2024 Noisy Multi-Label Text Classification via Instance-Label Pair Correction NAACL 2024 Noisy Neighbors: Efficient membership inference attacks against LLMs ACL 2024 Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods NeurIPS 2024 No More Shortcuts: Realizing the Potential of Temporal Self-Supervision AAAI 2024 Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization JMLR 2024