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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)

See Further When Clear: Curriculum Consistency Model CVPR 2025 Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation AAAI 2025 Seeing Culture: A Benchmark for Visual Reasoning and Grounding EMNLP 2025 Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models EMNLP 2025 Seeing More with Less: Human-like Representations in Vision Models CVPR 2025 Seeing Speech and Sound: Distinguishing and Locating Audio Sources in Visual Scenes CVPR 2025 Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning IJCAI 2025 Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection CVPR 2025 Seeing Your Speech Style: A Novel Zero-Shot Identity-Disentanglement Face-based Voice Conversion AAAI 2025 Seek Common Ground While Reserving Differences: Semi-Supervised Image-Text Sentiment Recognition CVPR 2025 Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning IJCAI 2025 SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain Adaptive Object Detection CVPR 2025 Seg2Box: 3D Object Detection by Point-Wise Semantics Supervision AAAI 2025 SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories CVPR 2025 SegDesicNet: Lightweight Semantic Segmentation in Remote Sensing with Geo-Coordinate Embeddings for Domain Adaptation WACV 2025 Segment Any 3D Gaussians AAAI 2025 Segmentation-Variant Codebooks for Preservation of Paralinguistic and Prosodic Information Interspeech 2025 Selecting and Merging: Towards Adaptable and Scalable Named Entity Recognition with Large Language Models ACL 2025 Selective Blocking for Message-Passing Neural Networks on Heterophilic Graphs UAI 2025 Selective Contrastive Learning for Weakly Supervised Affordance Grounding ICCV 2025 Selective Preference Optimization via Token-Level Reward Function Estimation EMNLP 2025 Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models NAACL 2025 Selective Visual Prompting in Vision Mamba AAAI 2025 Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation AAAI 2025 Self-Bootstrapping for Versatile Test-Time Adaptation ICML 2025