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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)

Neuromanifold-Regularized KANs for Shape-fair Feature Representations ICCV 2025 Neuron-Level Sequential Editing for Large Language Models ACL 2025 Neuroplasticity and Corruption in Model Mechanisms: A Case Study Of Indirect Object Identification NAACL 2025 Neurosymbolic World Models for Sequential Decision Making ICML 2025 NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering ACL 2025 New Algorithms for the Learning-Augmented k-means Problem ICLR 2025 New User Event Prediction Through the Lens of Causal Inference AISTATS 2025 Next-Level Cantonese-to-Mandarin Translation: Fine-Tuning and Post-Processing with LLMs COLING 2025 NExtLong: Toward Effective Long-Context Training without Long Documents ICML 2025 NEXUS: Network Exploration for eXploiting Unsafe Sequences in Multi-Turn LLM Jailbreaks EMNLP 2025 N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning ICLR 2025 NightHaze: Nighttime Image Dehazing via Self-Prior Learning AAAI 2025 NightReID: A Large-Scale Nighttime Person Re-Identification Benchmark AAAI 2025 NileChat: Towards Linguistically Diverse and Culturally Aware LLMs for Local Communities EMNLP 2025 NILE: Internal Consistency Alignment in Large Language Models EMNLP 2025 NitiBench: Benchmarking LLM Frameworks on Thai Legal Question Answering Capabilities EMNLP 2025 NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training CVPR 2025 NL-Eye: Abductive NLI For Images ICLR 2025 NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification AAAI 2025 NLIP at BEA 2025 Shared Task: Evaluation of Pedagogical Ability of AI Tutors ACL 2025 NLP-ADBench: NLP Anomaly Detection Benchmark EMNLP 2025 NLP-Cimat at SemEval-2025 Task 11: Prompt Optimization for LLMs via Genetic Algorithms and Systematic Mutation applied on Emotion Detection SemEval 2025 NLP_goats at SemEval-2025 Task 11: Multi-Label Emotion Classification Using Fine-Tuned Roberta-Large Tranformer SemEval 2025 NLP_goats_DravidianLangTech_2025__Detecting_AI_Written_Reviews_for_Consumer_Trust NAACL 2025 NLP_goats@DravidianLangTech 2025: Detecting Fake News in Dravidian Languages: A Text Classification Approach NAACL 2025