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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)

CE-DA: Custom Embedding and Dynamic Aggregation for Zero-Shot Relation Extraction COLING 2025 CEMIL: Contextual Attention Based Efficient Weakly Supervised Approach for Histopathology Image Classification WACV 2025 CEMTM: Contextual Embedding-based Multimodal Topic Modeling EMNLP 2025 Centrality-guided Pre-training for Graph ICLR 2025 CER: Confidence Enhanced Reasoning in LLMs ACL 2025 Certain but not Probable? Differentiating Certainty from Probability in LLM Token Outputs for Probabilistic Scenarios EMNLP 2025 CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness ICLR 2025 Certification of Speaker Recognition Models to Additive Perturbations AAAI 2025 CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback EMNLP 2025 CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning AAAI 2025 CGI: Identifying Conditional Generative Models with Example Images IJCAI 2025 CGMatch: A Different Perspective of Semi-supervised Learning CVPR 2025 Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks CVPR 2025 Chain of Evidences and Evidence to Generate: Prompting for Context Grounded and Retrieval Augmented Reasoning NAACL 2025 Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models AAAI 2025 Chain-of-Interactions: Multi-step Iterative ICL Framework for Abstractive Task-Oriented Dialogue Summarization of Conversational AI Interactions EMNLP 2025 Chain of Methodologies: Scaling Test Time Computation without Training ACL 2025 Chain-of-Rank: Enhancing Large Language Models for Domain-Specific RAG in Edge Device NAACL 2025 Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective ACL 2025 Chain-of-Scrutiny: Detecting Backdoor Attacks for Large Language Models ACL 2025 Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter EMNLP 2025 Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision EMNLP 2025 Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable ICLR 2025 Chain-Talker: Chain Understanding and Rendering for Empathetic Conversational Speech Synthesis ACL 2025 Challenges and Limitations in Gathering Resources for Low-Resource Languages: The Case of Medumba ACL 2025