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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)

Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation ICLR 2025 Stabilizing Sample Similarity in Representation via Mitigating Random Consistency ICML 2025 StableAnimator: High-Quality Identity-Preserving Human Image Animation CVPR 2025 StableDepth: Scene-Consistent and Scale-Invariant Monocular Depth ICCV 2025 Stable Diffusion Models are Secretly Good at Visual In-Context Learning ICCV 2025 Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning ICLR 2025 StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching AAAI 2025 STACKFEED: Structured Textual Actor-Critic Knowledge base editing with FEEDback EMNLP 2025 Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection CVPR 2025 STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation AAAI 2025 Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection AAAI 2025 Stanford MLab at SemEval-2025 Task 11: Track B–Emotion Intensity Detection SemEval 2025 StarGAN-Aug: A Cross-domain Fault Audio Generation Method for High-performance Fault Diagnosis of Power Transformers Interspeech 2025 STAR: Synthesis of Tailored Architectures ICLR 2025 StarVC: A Unified Auto-Regressive Framework for Joint Text and Speech Generation in Voice Conversion Interspeech 2025 StateCloud at Critical Questions Generation: Prompt Engineering for Critical Question Generation ACL 2025 State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecasting IJCAI 2025 State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models ACL 2025 Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation AISTATS 2025 StdGEN: Semantic-Decomposed 3D Character Generation from Single Images CVPR 2025 STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM AAAI 2025 Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models CVPR 2025 Steering Deep Non-Linear Spatially Selective Filters for Weakly Guided Extraction of Moving Speakers in Dynamic Scenarios Interspeech 2025 Steering Guidance for Personalized Text-to-Image Diffusion Models ICCV 2025 Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation EMNLP 2025