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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)

Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought NeurIPS 2024 Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors CVPR 2024 Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning CVPR 2024 Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning AAAI 2024 Unlocking the Power of Representations in Long-term Novelty-based Exploration ICLR 2024 Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training ICML 2024 Unmixing Before Fusion: A Generalized Paradigm for Multi-Source-based Hyperspectral Image Synthesis CVPR 2024 Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising CVPR 2024 UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking NAACL 2024 UnO: Unsupervised Occupancy Fields for Perception and Forecasting CVPR 2024 Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback NeurIPS 2024 Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications EMNLP 2024 Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation CVPR 2024 Unraveling Pain Levels: A Data-Uncertainty Guided Approach for Effective Pain Assessment AAAI 2024 Unraveling the Dynamics of Semi-Supervised Hate Speech Detection: The Impact of Unlabeled Data Characteristics and Pseudo-Labeling Strategies EACL 2024 Unraveling the Key Components of OOD Generalization via Diversification ICLR 2024 UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models ICLR 2024 UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model CVPR 2024 UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes CVPR 2024 UNSEE: Unsupervised Non-contrastive Sentence Embeddings EACL 2024 UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation NeurIPS 2024 Unsupervised 3D Pose Estimation With Non-Rigid Structure-From-Motion Modeling WACV 2024 Unsupervised 3D Structure Inference from Category-Specific Image Collections CVPR 2024 Unsupervised Action Segmentation via Fast Learning of Semantically Consistent Actoms AAAI 2024 Unsupervised and Semi-Supervised Co-Salient Object Detection via Segmentation Frequency Statistics WACV 2024