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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens AAAI 2025 Federated Communication-Efficient Multi-Objective Optimization AISTATS 2025 Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation ICML 2025 Federated Foundation Models on Heterogeneous Time Series AAAI 2025 Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs AAAI 2025 Federated Graph Condensation with Information Bottleneck Principles AAAI 2025 Federated Graph-Level Clustering Network AAAI 2025 Federated Learning with Feature Space Separation for Speaker Recognition Interspeech 2025 Federated Learning with Sample-level Client Drift Mitigation AAAI 2025 Federated Low-Rank Adaptation for Foundation Models: A Survey IJCAI 2025 Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt AAAI 2025 FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement AAAI 2025 FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation AAAI 2025 FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields ICCV 2025 FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning AAAI 2025 FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models ICCV 2025 FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation ICML 2025 FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning AAAI 2025 FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning AAAI 2025 FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis AAAI 2025 FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation ICCV 2025 Feedforward Few-shot Species Range Estimation ICML 2025 Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion ICCV 2025 FeelNet: A Lightweight Fast Fourier Transform EEG-based Emotion Recognition Network ACML 2025 Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints CVPR 2025