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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)

KOEnsAttack: Towards Efficient Data-Free Black-Box Adversarial Attacks via Knowledge-Orthogonalized Substitute Ensembles ICCV 2025 Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP AAAI 2025 K-ON: Stacking Knowledge on the Head Layer of Large Language Model AAAI 2025 Koopman-Equivariant Gaussian Processes AISTATS 2025 KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks ICLR 2025 K-order Ranking Preference Optimization for Large Language Models ACL 2025 KostasThesis2025 at SemEval-2025 Task 10 Subtask 2: A Continual Learning Approach to Propaganda Analysis in Online News SemEval 2025 KozKreolMRU WMT 2025 CreoleMT System Description: Koz Kreol: Multi-Stage Training for English–Mauritian Creole MT EMNLP 2025 KPL: Training-Free Medical Knowledge Mining of Vision-Language Models AAAI 2025 KRETA: A Benchmark for Korean Reading and Reasoning in Text-Rich VQA Attuned to Diverse Visual Contexts EMNLP 2025 KR Labs at ArchEHR-QA 2025: A Verbatim Approach for Evidence-Based Question Answering ACL 2025 Kronecker Mask and Interpretive Prompts are Language-Action Video Learners ICLR 2025 KSK@DravidianLangTech 2025: Political Multiclass Sentiment Analysis of Tamil X (Twitter) Comments Using Incremental Learning NAACL 2025 K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences CVPR 2025 KULFi Framework: Knowledge Utilization for Optimizing Large Language Models for Financial Causal Reasoning COLING 2025 KyuHyunChoi at SemEval-2025 Task 10: Narrative Extraction Using a Summarization-Specific Pretrained Model SemEval 2025 L3i++ at GenAI Detection Task 1: Can Label-Supervised LLaMA Detect Machine-Generated Text? COLING 2025 L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression AAAI 2025 L4: Mutual Learning Helps Lifelong Language Learning EMNLP 2025 Label Calibration in Source Free Domain Adaptation WACV 2025 Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations WACV 2025 Label Distribution Learning using the Squared Neural Family on the Probability Simplex UAI 2025 Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning IJCAI 2025 Label-Free Backdoor Attacks in Vertical Federated Learning AAAI 2025 Label Noise Correction via Fuzzy Learning Machine AAAI 2025