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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)

FlowMotion: Training-Free Flow Guidance for Video Motion Transfer CVPR 2026 FLOW: Optimal Transport-Driven Feature Warping for Generalized Remote Physiological Measurement CVPR 2026 FlowPortal: Residual-Corrected Flow for Training-Free Video Relighting and Background Replacement CVPR 2026 FlowSteer: Guiding Few-Step Image Synthesis with Authentic Trajectories CVPR 2026 FluenceFormer: Transformer-Driven Multi-Beam Fluence Map Regression for Radiotherapy Planning MIDL 2026 fMRI-LM: Towards a Universal Foundation Model for Language-Aligned fMRI Understanding CVPR 2026 FNOPT: Resolution-Agnostic, Self-Supervised Cloth Simulation using Meta-Optimization with Fourier Neural Operators WACV 2026 FocalOrder: Focal Preference Optimization for Reading Order Detection ACL 2026 Focusing Condition: Inference-Time Self-Contrastive Steering Elicits Better Conditional Text Embeddings in LLMs ACL 2026 Focus on Background: Exploring SAM's Potential in Few-shot Medical Image Segmentation with Background-centric Prompting CVPR 2026 FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning Models ACL 2026 FoleyDirector: Fine-Grained Temporal Steering for Video-to-Audio Generation via Structured Scripts CVPR 2026 ForceVLA2: Unleashing Hybrid Force-Position Control with Force Awareness for Contact-Rich Manipulation CVPR 2026 Forget Less by Learning Together through Concept Consolidation WACV 2026 Forget What Matters, Keep the Rest: Selective Unlearning of Informative Tokens ACL 2026 FormulaSPIN: Self-Play Fine-Tuning for Natural Language to Spreadsheet Formula Generation ACL 2026 For-Value: Efficient Forward-Only Data Valuation for finetuning LLMs and VLMs ACL 2026 FoundIR-v2: Optimizing Pre-Training Data Mixtures for Image Restoration Foundation Model CVPR 2026 FOZO: Forward-Only Zeroth-Order Prompt Optimization for Test-Time Adaptation CVPR 2026 Frame2Freq: Spectral Adapters for Fine-Grained Video Understanding CVPR 2026 FRAMER: Frequency-Aligned Self-Distillation with Adaptive Modulation Leveraging Diffusion Priors for Real-World Image Super-Resolution CVPR 2026 Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning CVPR 2026 FrankenMotion: Part-level Human Motion Generation and Composition CVPR 2026 FraudGNAM: Inherently Interpretable Spectral GNN for Graph Fraud Detection UAI 2026 Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs ACL 2026