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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)

AustroTox: A Dataset for Target-Based Austrian German Offensive Language Detection ACL 2024 Autism Detection in Speech – A Survey EACL 2024 Auto311: A Confidence-Guided Automated System for Non-emergency Calls AAAI 2024 Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics COLT 2024 AutoCD: Automated Machine Learning for Causal Discovery Algorithms PGM 2024 AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models ICLR 2024 Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation MIDL 2024 AUTOGEN STUDIO: A No-Code Developer Tool for Building and Debugging Multi-Agent Systems EMNLP 2024 Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents EMNLP 2024 Auto-Linear Phenomenon in Subsurface Imaging ICML 2024 AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning and Spatial Post-processing AAAI 2024 Automated Adversarial Discovery for Safety Classifiers NAACL 2024 Automated content assessment and feedback for Finnish L2 learners in a picture description speaking task Interspeech 2024 Automated CPU Design by Learning from Input-Output Examples IJCAI 2024 Automated Design of Affine Maximizer Mechanisms in Dynamic Settings AAAI 2024 Automated Essay Scoring Using Grammatical Variety and Errors with Multi-Task Learning and Item Response Theory NAACL 2024 Automated Human-Readable Label Generation in Open Intent Discovery Interspeech 2024 Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs NeurIPS 2024 Automated Multi-level Preference for MLLMs NeurIPS 2024 Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records NeurIPS 2024 Automated Sperm Assessment Framework and Neural Network Specialized for Sperm Video Recognition WACV 2024 Automated State Estimation for Summarizing the Dynamics of Complex Urban Systems Using Representation Learning AAAI 2024 Automatic Alignment of Discourse Relations of Different Discourse Annotation Frameworks COLING 2024 Automatically Learning Hybrid Digital Twins of Dynamical Systems NeurIPS 2024 Automatic Annotation Elaboration as Feedback to Sign Language Learners EACL 2024