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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance EMNLP 2025 Comparison-Based Automatic Evaluation for Meeting Summarization Interspeech 2025 Comparison of Acoustic and Textual Features for Dysarthria Severity Classification in Amyotrophic Lateral Sclerosis Interspeech 2025 Compass Control: Multi Object Orientation Control for Text-to-Image Generation CVPR 2025 Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising CVPR 2025 CompleteMe: Reference-based Human Image Completion ICCV 2025 Complexity Experts are Task-Discriminative Learners for Any Image Restoration CVPR 2025 Composable Cross-prompt Essay Scoring by Merging Models EMNLP 2025 Compositional Caching for Training-free Open-vocabulary Attribute Detection CVPR 2025 Compositional Targeted Multi-Label Universal Perturbations CVPR 2025 Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo AISTATS 2025 Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models EMNLP 2025 Comprehensive Evaluation on Lexical Normalization: Boundary-Aware Approaches for Unsegmented Languages EMNLP 2025 Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection NAACL 2025 Comprehensive Multi-Modal Prototypes Are Simple and Effective Classifiers for Vast-Vocabulary Object Detection AAAI 2025 Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning AAAI 2025 Computing high-dimensional optimal transport by flow neural networks AISTATS 2025 ConceptCarve: Dynamic Realization of Evidence ACL 2025 Concept Forgetting via Label Annealing UAI 2025 Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization CVPR 2025 ConceptSplit: Decoupled Multi-Concept Personalization of Diffusion Models via Token-wise Adaptation and Attention Disentanglement ICCV 2025 ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages ACL 2025 Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency AISTATS 2025 Conditional [MASK] Discrete Diffusion Language Model EMNLP 2025 Conditional Multi-Stage Failure Recovery for Embodied Agents ACL 2025