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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)

Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance WACV 2025 Asset Pricing with Contrastive Adversarial Variational Bayes IJCAI 2025 Association Pattern-enhanced Molecular Representation Learning AAAI 2025 Associative Transformer CVPR 2025 A Strategic Coordination Framework of Small LMs Matches Large LMs in Data Synthesis ACL 2025 ASTRO: Automatic Strategy Optimization For Non-Cooperative Dialogues ACL 2025 AstroLoc: Robust Space to Ground Image Localizer ICCV 2025 A Study of Real-world Audio-Visual Corpus Design and Production: A Perspective from MISP Challenges Interspeech 2025 A Study on Speech Assessment with Visual Cues Interspeech 2025 A Study on The Impact of Foundation Models on Automatic Depression Detection from Speech Signals Interspeech 2025 Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models ACL 2025 A Survey of Post-Training Scaling in Large Language Models ACL 2025 A Survey on Patent Analysis: From NLP to Multimodal AI ACL 2025 Asymmetric Cross-Modal Hashing Based on Formal Concept Analysis AAAI 2025 Asymmetric Decision-Making in Online Knowledge Distillation: Unifying Consensus and Divergence ICML 2025 Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring AAAI 2025 Asymmetric Reinforcing Against Multi-Modal Representation Bias AAAI 2025 Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment AAAI 2025 A Systematic Analysis of Base Model Choice for Reward Modeling EMNLP 2025 A Systematic Exploration of Knowledge Graph Alignment with Large Language Models in Retrieval Augmented Generation AAAI 2025 A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets CVPR 2025 ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction ICCV 2025 A Theoretical Analysis of Self-Supervised Learning for Vision Transformers ICLR 2025 A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning AISTATS 2025 A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops ICLR 2025