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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)

Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension CVPR 2024 Extracting Prompts by Inverting LLM Outputs EMNLP 2024 Extreme Point Supervised Instance Segmentation CVPR 2024 Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning NeurIPS 2024 Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs CVPR 2024 EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection NeurIPS 2024 FacadeNet: Conditional Facade Synthesis via Selective Editing WACV 2024 FaceCoresetNet: Differentiable Coresets for Face Set Recognition AAAI 2024 Face Identity-Aware Disentanglement in StyleGAN WACV 2024 FaceLift: Semi-supervised 3D Facial Landmark Localization CVPR 2024 Faces that Speak: Jointly Synthesising Talking Face and Speech from Text CVPR 2024 Facilitating Multimodal Classification via Dynamically Learning Modality Gap NeurIPS 2024 FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks AAAI 2024 Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models ACL 2024 Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification ACL 2024 Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation NeurIPS 2024 Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning AAAI 2024 FactorSim: Generative Simulation via Factorized Representation NeurIPS 2024 FADES: Fair Disentanglement with Sensitive Relevance CVPR 2024 FairCLIP: Harnessing Fairness in Vision-Language Learning CVPR 2024 FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding EMNLP 2024 FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation NeurIPS 2024 FairRAG: Fair Human Generation via Fair Retrieval Augmentation CVPR 2024 FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024 Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis CVPR 2024