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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)

SRCB at SemEval-2026 Task 5 A Multi-Target Finetuning Framework for Large Language Models with Joint Regression and Text Generation SemEval 2026 SSA: Improving Performance With a Better Scoring Function ACL 2026 SSCL: Adversarially Guided Image Compression via Semantic and Spectral Consistency Learning AAAI 2026 SSN-CSE-CODECATALYSTS at SemEval-2026 Task 13: Integrating Transformer Semantics and AST-Derived Structural Features for AI-Generated Code Detection. SemEval 2026 Stability-Driven Motion Generation for Object-Guided Human-Human Co-Manipulation CVPR 2026 Stabilizing Feature Geometry in Noisy Pretrained Models for Robust Downstream Tasks CVPR 2026 Stable and Efficient Single-Rollout RL for Multimodal Reasoning CVPR 2026 StableMaterials: Enhancing Diversity in Material Generation via Semi-Supervised Learning CVPR 2026 StableMTL: Repurposing Latent Diffusion Models for Multi-Task Learning from Partially Annotated Synthetic Datasets CVPR 2026 StainNet: Scaling Self-Supervised Foundation Models on Immunohistochemistry and Special Stains for Computational Pathology MIDL 2026 Stake the Points: Structure-Faithful Instance Unlearning CVPR 2026 StaMo: Unsupervised Learning of Generalizable Robot Motion from Compact State Representation CVPR 2026 StanceLab at SemEval-2026 Task 9: Addressing Class Imbalance in Multilingual Polarization Detection SemEval 2026 STARFlow-V: End-to-End Video Generative Modeling with Autoregressive Normalizing Flows CVPR 2026 StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering CVPR 2026 STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences WACV 2026 STAR: Test-Time Adaptation Can Enhance Universal Prompt Learning for Vision-Language Models CVPR 2026 Statistical guarantees for denoising reflected diffusion models JMLR 2026 STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting CVPR 2026 Stealing Split Learning Bottom Models by Recovering Embedding Geometry CVPR 2026 Step-GRPO: Internalizing Dynamic Early Exit for Efficient Reasoning ACL 2026 Stepwise Credit Assignment for GRPO on Flow-Matching Models CVPR 2026 STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation ACL 2026 Stochastic Gradient Descenders at SemEval-2026 Task 9: Few-Shot LLM Prompting for Polarization Type Classification SemEval 2026 Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking Models ACL 2026