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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)

Unpaired Multimodal Learning for Biological Datasets MIDL 2026 Unposed-to-3D: Learning Simulation-Ready Vehicles from Real-World Images CVPR 2026 UnReflectAnything: RGB-Only Highlight Removal by Rendering Synthetic Specular Supervision CVPR 2026 Unsupervised 3d Motion Estimation Using Event Camera CVPR 2026 Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors CVPR 2026 Unsupervised Multi-Scale Segmentation of 3D Subcellular World with Stable Diffusion Foundation Model CVPR 2026 Unveiling the Unknown: Open-Set Entity Typing via Two-Stage Generation ACL 2026 UPDESH: Synthesizing Grounded Instruction Tuning Data for 13 Indic Languages ACL 2026 UPR at SemEval-2026 Task 9: Multi-Label Classification of Polarization Across Social Dimensions and Manifestation Identification in Urdu SemEval 2026 UPR at SemEval-2026 Task 9: Polarization Detection in Urdu with Language-Specific Transformer and Data Augmentation SemEval 2026 UQLM: A Python Package for Uncertainty Quantification in Large Language Models JMLR 2026 UST-Hand: An Uncertainty-aware Spatiotemporal Point Cloud Interaction Network for 3D Self-supervised Hand Pose Estimation CVPR 2026 UTRAG at SemEval-2026 Task 8: History-Aware Query Rewriting and LoRA-Finetuned Generation for Multi-Turn RAG SemEval 2026 Validator-Guided Hard Negative Mining for Masked Language Modeling in Low-Resource Ancient Languages ACL 2026 Valid Survey Simulations with Limited Human Data: The Roles of Prompting, Fine-Tuning, and Rectification ACL 2026 VA-p: Variational Policy Alignment for Pixel-Aware Autoregressive Generation CVPR 2026 VARH-AI at SemEval-2026 Task 10: Exploiting Architectural Diversity with Transformer-SSM Ensembles and Confidence-Based Iterative Refinement for Conspiracy Detection SemEval 2026 Variance reduction combining pre-experiment and in-experiment data CLeaR 2026 V-Attack: Targeting Disentangled Value Features for Controllable Adversarial Attacks on LVLMs CVPR 2026 VCU-Bridge: Hierarchical Visual Connotation Understanding via Semantic Bridging CVPR 2026 VDE: Training-Free Accelerating Rectified Flow Model via Velocity Decomposition and Estimation CVPR 2026 Velox: Learning Representations of 4D Geometry and Appearance CVPR 2026 VEMamba: Efficient Isotropic Reconstruction of Volume Electron Microscopy with Axial-Lateral Consistent Mamba CVPR 2026 VerbaNexAI at SemEval-2026 Task 4: Two-Stage Narrative Similarity via Fine-Tuned Bi-Encoder with MLP Ensemble SemEval 2026 VerbaNexAI at SemEval-2026 Task 5: Few-Shot Chain-of-Thought with Selective Self-Consistency and Isotonic Calibration for Word Sense Plausibility Rating SemEval 2026