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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)

On Trajectory Augmentations for Off-Policy Evaluation ICLR 2024 On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning AAAI 2024 Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance CVPR 2024 OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies CVPR 2024 OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding NeurIPS 2024 OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset NeurIPS 2024 OpenOmni: A Collaborative Open Source Tool for Building Future-Ready Multimodal Conversational Agents EMNLP 2024 Open Problem: Can Local Regularization Learn All Multiclass Problems? COLT 2024 Open-RAG: Enhanced Retrieval Augmented Reasoning with Open-Source Large Language Models EMNLP 2024 OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio Separation EMNLP 2024 Open-Set Domain Adaptation for Semantic Segmentation CVPR 2024 Open-Vocabulary 3D Semantic Segmentation with Foundation Models CVPR 2024 Open-Vocabulary Calibration for Fine-tuned CLIP ICML 2024 Open-Vocabulary Segmentation with Semantic-Assisted Calibration CVPR 2024 Open Vocabulary Semantic Scene Sketch Understanding CVPR 2024 Open-Vocabulary Video Anomaly Detection CVPR 2024 Open-Vocabulary Video Relation Extraction AAAI 2024 Open-World Human-Object Interaction Detection via Multi-modal Prompts CVPR 2024 Open-world Multi-label Text Classification with Extremely Weak Supervision EMNLP 2024 Open-World Semantic Segmentation Including Class Similarity CVPR 2024 OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation CVPR 2024 Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational Autoencoder WACV 2024 Optical Flow Domain Adaptation via Target Style Transfer WACV 2024 Optimal deep learning of holomorphic operators between Banach spaces NeurIPS 2024 Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos NeurIPS 2024