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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)

Prior Prompt Engineering for Reinforcement Fine-Tuning EMNLP 2025 PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encoder ACL 2025 PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning EMNLP 2025 Privacy-Preserving Neural Processes for Probabilistic User Modeling UAI 2025 Privacy-Preserving Speaker Verification via End-to-End Secure Representation Learning Interspeech 2025 ProAPO: Progressively Automatic Prompt Optimization for Visual Classification CVPR 2025 Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows AAAI 2025 Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation ICCV 2025 Probability-Consistent Preference Optimization for Enhanced LLM Reasoning ACL 2025 Probability Distribution Collapse: A Critical Bottleneck to Compact Unsupervised Neural Grammar Induction EMNLP 2025 Probing for Arithmetic Errors in Language Models EMNLP 2025 Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding EMNLP 2025 Probing Neural Network Generalization using Default Patterns NAACL 2025 Probing Relative Interaction and Dynamic Calibration in Multi-modal Entity Alignment ACL 2025 Probing the Mid-level Vision Capabilities of Self-Supervised Learning CVPR 2025 Probing the Robustness Properties of Neural Speech Codecs Interspeech 2025 Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning ACL 2025 ProbMED: A Probabilistic Framework for Medical Multimodal Binding ICCV 2025 ProcessBench: Identifying Process Errors in Mathematical Reasoning ACL 2025 Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise EMNLP 2025 Profiler: Black-box AI-generated Text Origin Detection via Context-aware Inference Pattern Analysis EMNLP 2025 Progressive Correspondence Regenerator for Robust 3D Registration CVPR 2025 Progressive Growing of Video Tokenizers for Temporally Compact Latent Spaces ICCV 2025 Progressive LoRA for Multimodal Continual Instruction Tuning ACL 2025 Progressive Multimodal Reasoning via Active Retrieval ACL 2025