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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Delving into the Trajectory Long-tail Distribution for Muti-object Tracking CVPR 2024 DEM: Distribution Edited Model for Training with Mixed Data Distributions EMNLP 2024 DEMO: A Statistical Perspective for Efficient Image-Text Matching NAACL 2024 Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning EMNLP 2024 Demo: Enhancing Wildlife Acoustic Data Annotation Efficiency through Transfer and Active Learning IJCAI 2024 Demonstrating Arena 3.0: Advancing Social Navigation in Collaborative and Highly Dynamic Environments RSS 2024 Demonstration Augmentation for Zero-shot In-context Learning ACL 2024 Demonstration-Regularized RL ICLR 2024 Demonstration Retrieval-Augmented Generative Event Argument Extraction COLING 2024 Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning ACL 2024 Demonstration Selection Strategies for Numerical Time Series Data-to-Text EMNLP 2024 DeMuX: Data-efficient Multilingual Learning NAACL 2024 Demystifying Algorithmic Fairness in an Uncertain World AAAI 2024 Demystifying Linear MDPs and Novel Dynamics Aggregation Framework ICLR 2024 Demystifying Verbatim Memorization in Large Language Models EMNLP 2024 Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation NeurIPS 2024 DenoiseRep: Denoising Model for Representation Learning NeurIPS 2024 Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation WACV 2024 Denoising-Aware Contrastive Learning for Noisy Time Series IJCAI 2024 Denoising Diffusion-Augmented Hybrid Video Anomaly Detection via Reconstructing Noised Frames IJCAI 2024 Denoising Labeled Data for Comment Moderation Using Active Learning COLING 2024 Denoising Table-Text Retrieval for Open-Domain Question Answering COLING 2024 Denoising Task Routing for Diffusion Models ICLR 2024 DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning AAAI 2024 Dense Projection for Anomaly Detection AAAI 2024