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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)

Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the US EMNLP 2024 SVGDreamer: Text Guided SVG Generation with Diffusion Model CVPR 2024 SWAG: Storytelling With Action Guidance EMNLP 2024 SWiBE: A Parameterized Stochastic Diffusion Process for Noise-Robust Bandwidth Expansion Interspeech 2024 Swift Sampler: Efficient Learning of Sampler by 10 Parameters NeurIPS 2024 SwiftThief: Enhancing Query Efficiency of Model Stealing by Contrastive Learning IJCAI 2024 SwitchTab: Switched Autoencoders Are Effective Tabular Learners AAAI 2024 SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents NeurIPS 2024 SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment ICML 2024 Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems AAAI 2024 Symbolic Regression Enhanced Decision Trees for Classification Tasks AAAI 2024 Symbolic Regression with a Learned Concept Library NeurIPS 2024 SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution ACL 2024 Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching ICLR 2024 Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024 Symmetry-Informed Governing Equation Discovery NeurIPS 2024 Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control ICLR 2024 Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale NeurIPS 2024 Synchronizing Approach in Designing Annotation Guidelines for Multilingual Datasets: A COVID-19 Case Study Using English and Japanese Tweets ACL 2024 Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation EMNLP 2024 SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language Pretraining CVPR 2024 Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction AAAI 2024 Synergistic Interplay between Search and Large Language Models for Information Retrieval ACL 2024 Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation WACV 2024 Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems EMNLP 2024