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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)

Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models CVPR 2025 Closed-Loop Transfer for Weakly-supervised Affordance Grounding ICCV 2025 Close or Cloze? Assessing the Robustness of Large Language Models to Adversarial Perturbations via Word Recovery COLING 2025 Closest Neighbors are Harmful for Lightweight Masked Auto-encoders CVPR 2025 CLOT: Closed Loop Optimal Transport for Unsupervised Action Segmentation ICCV 2025 ClozeMath: Improving Mathematical Reasoning in Language Models by Learning to Fill Equations ACL 2025 CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization ICCV 2025 clujteam at SemEval-2025 Task 10: Finetuning SmolLM2 with Taxonomy-based Prompting for Explaining the Dominant Narrative in Propaganda Textt SemEval 2025 Cluster-guided Contrastive Class-imbalanced Graph Classification AAAI 2025 Clustering Context in Off-Policy Evaluation AISTATS 2025 Clustering Properties of Self-Supervised Learning ICML 2025 Clustering via Self-Supervised Diffusion ICML 2025 Clustering Zero-Shot Uncertainty Estimations to Assess LLM Response Accuracy for Yes/No Q&A ACL 2025 ClusterSC: Advancing Synthetic Control with Donor Selection AISTATS 2025 “Clutch or Cry” Team at TRACS @ WASP2025: A Hybrid Stacking Ensemble for Astrophysical Document Classification AACL 2025 CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets WACV 2025 CMHKF: Cross-Modality Heterogeneous Knowledge Fusion for Weakly Supervised Video Anomaly Detection ACL 2025 CMSP-ST: Cross-modal Mixup with Speech Purification for End-to-End Speech Translation Interspeech 2025 CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models AAAI 2025 CMT-Eval: A Novel Chinese Multi-turn Dialogue Evaluation Dataset Addressing Real-world Conversational Challenges EMNLP 2025 CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection AAAI 2025 CNLP-NITS-PP at GenAI Detection Task 1: AI-Generated Text Using Transformer-Based Approaches COLING 2025 CNLP-NITS-PP at GenAI Detection Task 3: Cross-Domain Machine-Generated Text Detection Using DistilBERT Techniques COLING 2025 CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts ICCV 2025 CoAlign: Uncertainty Calibration of LLM for Geospatial Repartition ACL 2025