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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)

G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training NeurIPS 2024 GACL: Exemplar-Free Generalized Analytic Continual Learning NeurIPS 2024 GAFusion: Adaptive Fusing LiDAR and Camera with Multiple Guidance for 3D Object Detection CVPR 2024 Game-Theoretic Unlearnable Example Generator AAAI 2024 GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation NeurIPS 2024 Gated Inference Network: Inference and Learning State-Space Models NeurIPS 2024 GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians CVPR 2024 Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images NeurIPS 2024 GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting NeurIPS 2024 Gaze from Origin: Learning for Generalized Gaze Estimation by Embedding the Gaze Frontalization Process AAAI 2024 GC-Bench: An Open and Unified Benchmark for Graph Condensation NeurIPS 2024 GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning UAI 2024 GC-VTON: Predicting Globally Consistent and Occlusion Aware Local Flows With Neighborhood Integrity Preservation for Virtual Try-On WACV 2024 GDA: Generalized Diffusion for Robust Test-time Adaptation CVPR 2024 GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets EMNLP 2024 GE2PE: Persian End-to-End Grapheme-to-Phoneme Conversion EMNLP 2024 GENDEX: Generative Data Augmentation Strategy Leveraging External Data for Abstractive Dialogue Summarization ACL 2024 General Collaborative Framework between Large Language Model and Experts for Universal Information Extraction EMNLP 2024 Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation AAAI 2024 Generalizable Implicit Motion Modeling for Video Frame Interpolation NeurIPS 2024 Generalizable Person Re-identification via Balancing Alignment and Uniformity NeurIPS 2024 Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations AAAI 2024 Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning ACL 2024 Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching CVPR 2024 Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction AAAI 2024