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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)

Neighborhood-Aware Negative Sampling for Student Knowledge and Behavior Modeling AAAI 2025 NeighborRetr: Balancing Hub Centrality in Cross-Modal Retrieval CVPR 2025 NeighXLM: Enhancing Cross-Lingual Transfer in Low-Resource Languages via Neighbor-Augmented Contrastive Pretraining EMNLP 2025 NeKo: Cross-Modality Post-Recognition Error Correction with Tasks-Guided Mixture-of-Experts Language Model ACL 2025 NeLLCom-Lex: A Neural-agent Framework to Study the Interplay between Lexical Systems and Language Use EMNLP 2025 Nepali Transformers@NLU of Devanagari Script Languages 2025: Detection of Language, Hate Speech and Targets COLING 2025 NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings EMNLP 2025 NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls EMNLP 2025 NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models COLING 2025 NeSyA: Neurosymbolic Automata IJCAI 2025 NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks In Open Domains ICLR 2025 NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization AAAI 2025 NetSafe: Exploring the Topological Safety of Multi-agent System ACL 2025 Neural at ArchEHR-QA 2025: Agentic Prompt Optimization for Evidence-Grounded Clinical Question Answering ACL 2025 Neural Combinatorial Clustered Bandits for Recommendation Systems AAAI 2025 Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems AAAI 2025 Neural Conformal Control for Time Series Forecasting AAAI 2025 Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models ACL 2025 NeuralNexus at BEA 2025 Shared Task: Retrieval-Augmented Prompting for Mistake Identification in AI Tutors ACL 2025 Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer ACL 2025 Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometry ICLR 2025 Neural SDF for Shadow-Aware Unsupervised Structured Light WACV 2025 Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL ICLR 2025 Neural Topic Modeling via Contextual and Graph Information Fusion EMNLP 2025 Neuro-Guided Graph Search for Symbolic Regression (Student Abstract) AAAI 2025