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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)

Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry UAI 2026 FisherPoser: Human Motion Estimation from Sparse Observations with Hierarchical Region-Wise Fisher-Matrix Uncertainty Modeling CVPR 2026 Fixed Anchors Are Not Enough: Dynamic Retrieval and Persistent Homology for Dataset Distillation CVPR 2026 FLAGG: Flexible Autoregressive Graph Generation JMLR 2026 FLARE: Anomaly Diagnostics for Divergent LLM Training in GPU Clusters of Thousand-Plus Scale NSDI 2026 Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement Learning CVPR 2026 FlashIn: Fast and Accurate Image Inversion for Real-time Image Editing CVPR 2026 FlashLips: 100-FPS Mask-Free Latent Lip-Sync using Reconstruction Instead of Diffusion or GANs CVPR 2026 FlashMotion: Few-Step Controllable Video Generation with Trajectory Guidance CVPR 2026 FlashVSR: Towards Real-time Diffusion-Based Streaming Video Super Resolution CVPR 2026 FlexLLM: Token-Level Co-Serving of LLM Inference and Finetuning with SLO Guarantees NSDI 2026 Flip-Flop Consistency: Unsupervised Training for Robustness to Prompt Perturbations in LLMs ACL 2026 FL-MSCL: A Unified Figurative Language Detection Model Driven by Multi-Type Signals and Contrastive Learning ACL 2026 FloodDiffusion: Tailored Diffusion Forcing for Streaming Motion Generation CVPR 2026 FloVerse: Floor Plan-Guided Multi-Modal Navigation CVPR 2026 Flow3r: Factored Flow Prediction for Scalable Visual Geometry Learning CVPR 2026 Flowception: Temporally Expansive Flow Matching for Video Generation CVPR 2026 FlowComposer: Composable Flows for Compositional Zero-Shot Learning CVPR 2026 FlowEO: Generative Unsupervised Domain Adaptation for Earth Observation WACV 2026 FlowFixer: Towards Detail-Preserving Subject-Driven Generation CVPR 2026 FlowFM: Advancing Dark Optical Flow Estimation with Flow Matching CVPR 2026 Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables CLeaR 2026 Flow Map Distillation Without Data CVPR 2026 Flow Matching for 3D Craniofacial Skeletal Data Generation MIDL 2026 Flow Matching for Multimodal Distributions CVPR 2026