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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)

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion ACL 2026 FedRAC: Rolling Submodel Allocation for Collaborative Fairness in Federated Learning CVPR 2026 FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning CVPR 2026 FedSDR: Federated Graph Learning with Structural Noise Detection and Reconstruction CVPR 2026 FENIX: Enabling In-Network DNN Inference with FPGA-Enhanced Programmable Switches NSDI 2026 FER at SemEval-2026 Task 6: Analysis of Different Approaches to Unmasking Political Question Evasions SemEval 2026 Few-shot Acoustic Synthesis with Multimodal Flow Matching CVPR 2026 Few-Shot Incremental 3D Object Detection in Dynamic Indoor Environments CVPR 2026 FFP-300K: Scaling First-Frame Propagation for Generalizable Video Editing CVPR 2026 FGM-HD: Boosting Generation Diversity of Fractal Generative Models through Hausdorff Dimension Induction AAAI 2026 FHAvatar: Fast and High-Fidelity Reconstruction of Face-and-Hair Composable 3D Head Avatar from Few Casual Captures CVPR 2026 FIGMA: Towards FIne-Grained Music retrievAl ACL 2026 FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning ACL 2026 Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation ACL 2026 FINE: Factorizing Knowledge for Initialization of Variable-sized Diffusion Models CVPR 2026 Fine-Grained GRPO for Precise Preference Alignment in Flow Models CVPR 2026 Fine-grained Image Aesthetic Assessment: Learning Discriminative Scores from Relative Ranks CVPR 2026 FineLAP: Taming Heterogeneous Supervision for Fine-grained Language-Audio Pretraining ACL 2026 FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models ACL 2026 Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning CVPR 2026 Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective ACL 2026 Fine-VAD: Towards Fine-Grained Video Anomaly Detection via Progressive Cross-Granularity Learning CVPR 2026 FinPercep-RM: A Fine-grained Reward Model and Co-evolutionary Curriculum for RL-based Real-world Super-Resolution CVPR 2026 FireScope: Wildfire Risk Raster Prediction With a Chain-of-Thought Oracle CVPR 2026 First Frame Is the Place to Go for Video Content Customization CVPR 2026