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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)

SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos CVPR 2024 Source-Free Domain Adaptation with Frozen Multimodal Foundation Model CVPR 2024 Space Decomposition for Sentence Embedding ACL 2024 Space-Time Continuous PDE Forecasting using Equivariant Neural Fields NeurIPS 2024 Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer CVPR 2024 SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing ACL 2024 Span-based Unified Named Entity Recognition Framework via Contrastive Learning IJCAI 2024 SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization NeurIPS 2024 SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation ICLR 2024 Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation AAAI 2024 SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations ACL 2024 Sparse is Enough in Fine-tuning Pre-trained Large Language Models ICML 2024 Sparse maximal update parameterization: A holistic approach to sparse training dynamics NeurIPS 2024 Sparse Recovery With Multiple Data Streams: An Adaptive Sequential Testing Approach JMLR 2024 Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection CVPR 2024 Sparsh: Self-supervised touch representations for vision-based tactile sensing CoRL 2024 Sparsity-Agnostic Linear Bandits with Adaptive Adversaries NeurIPS 2024 Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery AAAI 2024 Spatial properties of Bayesian unsupervised trees COLT 2024 Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics AAAI 2024 Spatial-Temporal Augmentation for Crime Prediction (Student Abstract) AAAI 2024 Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting IJCAI 2024 Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation AAAI 2024 Spatial-Temporal Perceiving: Deciphering User Hierarchical Intent in Session-Based Recommendation IJCAI 2024 Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation ICLR 2024