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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)

Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning EMNLP 2024 DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States NeurIPS 2024 Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning ACL 2024 Demystifying CLIP Data ICLR 2024 Demystifying Instruction Mixing for Fine-tuning Large Language Models ACL 2024 DenoiseRep: Denoising Model for Representation Learning NeurIPS 2024 Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation WACV 2024 DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning AAAI 2024 Dense Connector for MLLMs NeurIPS 2024 Dense Passage Retrieval: Is it Retrieving? EMNLP 2024 Dense Projection for Anomaly Detection AAAI 2024 Dense X Retrieval: What Retrieval Granularity Should We Use? EMNLP 2024 Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction CVPR 2024 Density-Guided Semi-Supervised 3D Semantic Segmentation with Dual-Space Hardness Sampling CVPR 2024 Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds CVPR 2024 Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts AISTATS 2024 Dependency Annotation of Ottoman Turkish with Multilingual BERT EACL 2024 Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data CVPR 2024 Depth-aware Test-Time Training for Zero-shot Video Object Segmentation CVPR 2024 Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views AAAI 2024 Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing CVPR 2024 Depth Prompting for Sensor-Agnostic Depth Estimation CVPR 2024 Design Choices for Enhancing Noisy Student Self-Training WACV 2024 Designing a Hybrid Neural System To Learn Real-World Crack Segmentation From Fractal-Based Simulation WACV 2024 Designing Informative Metrics for Few-Shot Example Selection ACL 2024