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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)

Case-Based Decision-Theoretic Decoding with Quality Memories EMNLP 2025 CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models AAAI 2025 CAST: Corpus-Aware Self-similarity Enhanced Topic modelling NAACL 2025 CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift AAAI 2025 CATALOG: A Camera Trap Language-Guided Contrastive Learning Model WACV 2025 Catastrophic Failure of LLM Unlearning via Quantization ICLR 2025 CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models ICML 2025 CATE Estimation With Potential Outcome Imputation From Local Regression UAI 2025 Categorical Attention: Fine-grained Language-guided Noise Filtering Network for Occluded Person Re-Identification IJCAI 2025 Category-aware EEG Image Generation Based on Wavelet Transform and Contrast Semantic Loss IJCAI 2025 CaTER: A Framework for Context-aware Topology Entity Retrieval Contrastive Learning in End-to-End Task-Oriented Dialogue Systems EMNLP 2025 Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis AAAI 2025 Cauchy-Schwarz Regularizers ICLR 2025 Causal Composition Diffusion Model for Closed-loop Traffic Generation CVPR 2025 Causal Denoising Prototypical Network for Few-Shot Multi-label Aspect Category Detection ACL 2025 Causal Discovery by Interventions via Integer Programming AAAI 2025 Causal Discovery-Driven Change Point Detection in Time Series AISTATS 2025 Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles UAI 2025 Causal discovery in mixed additive noise models AISTATS 2025 Causal Discovery on Dependent Binary Data AISTATS 2025 Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning ICCV 2025 Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation UAI 2025 Causal-Entity Reflected Egocentric Traffic Accident Video Synthesis ICCV 2025 Causal Graph based Event Reasoning using Semantic Relation Experts ACL 2025 Causal Inference amid Missingness-Specific Independences and Mechanism Shifts UAI 2025