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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)

NLPineers@ NLU of Devanagari Script Languages 2025: Hate Speech Detection using Ensembling of BERT-based models COLING 2025 NLPrompt: Noise-Label Prompt Learning for Vision-Language Models CVPR 2025 nlptuducd at SemEval-2025 Task 10: Narrative Classification as a Retrieval Task through Story Embeddings SemEval 2025 NlpUned at SemEval-2025 Task 10: Beyond Training: A Taxonomy-Guided Approach to Role Classification Using LLMs SemEval 2025 No Annotations for Object Detection in Art through Stable Diffusion WACV 2025 No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users EMNLP 2025 Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising ICCV 2025 Noise, Adaptation, and Strategy: Assessing LLM Fidelity in Decision-Making EMNLP 2025 Noise-Aware Evaluation of Object Detectors WACV 2025 Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image Denoising CVPR 2025 Noise Optimized Conditional Diffusion for Domain Adaptation IJCAI 2025 Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning AAAI 2025 Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning IJCAI 2025 Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning ICLR 2025 Noisy Correspondence Rectification via Asymmetric Similarity Learning AAAI 2025 Noisy Label Calibration for Multi-View Classification AAAI 2025 Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation AAAI 2025 Noisy Test-Time Adaptation in Vision-Language Models ICLR 2025 ‘No’ Matters: Out-of-Distribution Detection in Multimodality Multi-Turn Interactive Dialogue Download PDF ACL 2025 No More Sibling Rivalry: Debiasing Human-Object Interaction Detection ICCV 2025 No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods AAAI 2025 Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching ICLR 2025 Non-directive corpus annotation to reveal individual perspectives with underspecified guidelines: the case of mental workload EMNLP 2025 No Need for Explanations: LLMs can implicitly learn from mistakes in-context EMNLP 2025 Non-Emotion-Centric Empathetic Dialogue Generation COLING 2025