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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)

Spatial Alignment and Temporal Matching Adapter for Video-Radar Remote Physiological Measurement ICCV 2025 Spatial Annealing for Efficient Few-shot Neural Rendering AAAI 2025 SpatialDreamer: Self-supervised Stereo Video Synthesis from Monocular Input CVPR 2025 Spatially-Adaptive Hash Encodings for Neural Surface Reconstruction WACV 2025 Spatially Weighted Contrastive Learning for Robust Sound Source Localization Interspeech 2025 Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation CVPR 2025 Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction AAAI 2025 Spatial-Temporal Knowledge Distillation for Takeaway Recommendation AAAI 2025 SpatialTrackerV2: Advancing 3D Point Tracking with Explicit Camera Motion ICCV 2025 Spatiotemporal-Aware Neural Fields for Dynamic CT Reconstruction AAAI 2025 Spatiotemporal Blind-Spot Network with Calibrated Flow Alignment for Self-Supervised Video Denoising AAAI 2025 SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos AAAI 2025 SPC-GS: Gaussian Splatting with Semantic-Prompt Consistency for Indoor Open-World Free-view Synthesis from Sparse Inputs CVPR 2025 Speaker-Aware Multi-Task Learning for Speech Emotion Recognition Interspeech 2025 Speaker Conditioning of Voice Activity Detection via Implicit Separation Interspeech 2025 Speaker Normalization and Content Restoration for Zero-Shot Voice Conversion with Attention-Enhanced Discriminator Interspeech 2025 Speaking Beyond Language: A Large-Scale Multimodal Dataset for Learning Nonverbal Cues from Video-Grounded Dialogues ACL 2025 Specifying What You Know or Not for Multi-Label Class-Incremental Learning AAAI 2025 SpectralAR: Spectral Autoregressive Visual Generation ICCV 2025 Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery COLT 2025 Spectral Informed Mamba for Robust Point Cloud Processing CVPR 2025 Spectral Insights into Data-Oblivious Critical Layers in Large Language Models ACL 2025 Spectral State Space Model for Rotation-Invariant Visual Representation Learning CVPR 2025 Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling ICLR 2025 Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively ACL 2025