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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)

Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling ICLR 2025 Graph-Attention Network with Adversarial Domain Alignment for Robust Cross-Domain Facial Expression Recognition ACML 2025 Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval AAAI 2025 GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking ACL 2025 Graph Consistency and Diversity Measurement for Federated Multi-View Clustering AAAI 2025 Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology AAAI 2025 GraphemeAug: A Systematic Approach to Synthesized Hard Negative Keyword Spotting Examples Interspeech 2025 GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs CVPR 2025 Graph-guided Cross-composition Feature Disentanglement for Compositional Zero-shot Learning ACL 2025 GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding ACL 2025 Graph Mediator Networks Bridging Local and Global Semantics via Serial Message Passing ACML 2025 GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning CVPR 2025 Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection AAAI 2025 GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts AAAI 2025 Graph-of-Thoughts for Fact-Checking with Large Language Models ACL 2025 GraphRouter: A Graph-based Router for LLM Selections ICLR 2025 Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks AAAI 2025 Graph Structure Refinement with Energy-based Contrastive Learning AAAI 2025 GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction Exploration NAACL 2025 GRAT: Guiding Retrieval-Augmented Reasoning through Process Rewards Tree Search ACL 2025 Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks AAAI 2025 GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models ACL 2025 Grounded Semantic Role Labelling from Synthetic Multimodal Data for Situated Robot Commands EMNLP 2025 Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models EMNLP 2025 GroundingFace: Fine-grained Face Understanding via Pixel Grounding Multimodal Large Language Model CVPR 2025