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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)

DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning ICML 2024 Decoding Climate Disagreement: A Graph Neural Network-Based Approach to Understanding Social Media Dynamics ACL 2024 Decoding Natural Images from EEG for Object Recognition ICLR 2024 Decoding the Narratives: Analyzing Personal Drug Experiences Shared on Reddit ACL 2024 Decoding-Time Language Model Alignment with Multiple Objectives NeurIPS 2024 Decomposable Transformer Point Processes NeurIPS 2024 Decompose and Compare Consistency: Measuring VLMs’ Answer Reliability via Task-Decomposition Consistency Comparison EMNLP 2024 Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation CVPR 2024 Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization NeurIPS 2024 Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework CVPR 2024 De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts CVPR 2024 Deconstructing In-Context Learning: Understanding Prompts via Corruption COLING 2024 DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention ACL 2024 Decoupled Contrastive Learning for Long-Tailed Recognition AAAI 2024 Decoupled Contrastive Multi-View Clustering with High-Order Random Walks AAAI 2024 Decoupled Kullback-Leibler Divergence Loss NeurIPS 2024 Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection CVPR 2024 Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning AAAI 2024 Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages ACL 2024 Decoupling regularization from the action space ICLR 2024 Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling AAAI 2024 Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation CVPR 2024 Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks ICLR 2024 Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability ACL 2024 Deep Active Learning with Noise Stability AAAI 2024