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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)

Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information EMNLP 2025 Improving Reward Model Generalization from Adversarial Process Enhanced Preferences ICML 2025 Improving Reward Models with Synthetic Critiques NAACL 2025 Improving Semi-Supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity CVPR 2025 Improving Sentiment Analysis for Ukrainian Social Media Code-Switching Data ACL 2025 Improving Sign Language Understanding with a Multi-Stream Masked Autoencoder Trained on ASL Videos IJCNLP 2025 Improving Sound Source Localization with Joint Slot Attention on Image and Audio CVPR 2025 Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs EMNLP 2025 Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution’s Characteristics ACL 2025 Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation CVPR 2025 Improving Tool Retrieval by Leveraging Large Language Models for Query Generation COLING 2025 Improving Transferable Targeted Attacks with Feature Tuning Mixup CVPR 2025 Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration CVPR 2025 Improving Word Alignment Using Semi-Supervised Learning ACL 2025 Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices ICML 2025 Improving Zero-Shot Object-Level Change Detection by Incorporating Visual Correspondence WACV 2025 Improving Zero-shot Sentence Decontextualisation with Content Selection and Planning EMNLP 2025 Imputation for prediction: beware of diminishing returns. ICLR 2025 Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning CVPR 2025 Imputation-free Incomplete Multi-view Clustering via Knowledge Distillation IJCAI 2025 In Benchmarks We Trust ... Or Not? EMNLP 2025 Incepto@DravidianLangTech 2025: Detecting Abusive Tamil and Malayalam Text Targeting Women on YouTube NAACL 2025 Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model AAAI 2025 Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion AAAI 2025 Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis AAAI 2025