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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)

Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations NeurIPS 2024 Neural Persistence Dynamics NeurIPS 2024 Neural Physical Simulation with Multi-Resolution Hash Grid Encoding AAAI 2024 Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses NeurIPS 2024 Neural Redshift: Random Networks are not Random Functions CVPR 2024 Neural Refinement for Absolute Pose Regression with Feature Synthesis CVPR 2024 NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks NeurIPS 2024 Neural Style Protection: Counteracting Unauthorized Neural Style Transfer WACV 2024 NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping NeurIPS 2024 NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation NeurIPS 2024 NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views AAAI 2024 Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training ACL 2024 NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long Documents ACL 2024 N-gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding AAAI 2024 NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning CVPR 2024 nlp_enjoyers at TextGraphs-17 Shared Task: Text-Graph Representations for Knowledge Graph Question Answering using all-MPNet ACL 2024 No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages EMNLP 2024 No Head Left Behind – Multi-Head Alignment Distillation for Transformers AAAI 2024 Noise-Aware Image Captioning with Progressively Exploring Mismatched Words AAAI 2024 NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models CVPR 2024 Noise-Free Optimization in Early Training Steps for Image Super-resolution AAAI 2024 Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation AAAI 2024 Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods NeurIPS 2024 No More Shortcuts: Realizing the Potential of Temporal Self-Supervision AAAI 2024 Non-autoregressive Sequence-to-Sequence Vision-Language Models CVPR 2024