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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)

PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search IJCAI 2024 PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment EMNLP 2024 Precipitation Downscaling with Spatiotemporal Video Diffusion NeurIPS 2024 Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms ICML 2024 Precise Model Benchmarking with Only a Few Observations EMNLP 2024 Predicting Client Emotions and Therapist Interventions in Psychotherapy Dialogues EACL 2024 Predicting Entity Salience in Extremely Short Documents EMNLP 2024 Predicting Future Actions of Reinforcement Learning Agents NeurIPS 2024 Predicting generalization performance with correctness discriminators EMNLP 2024 Predicting Initial Essay Quality Scores to Increase the Efficiency of Comparative Judgment Assessments NAACL 2024 Predicting Label Distribution from Ternary Labels NeurIPS 2024 Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity EACL 2024 Predicting Mandarin and Cantonese Adult Speakers’ Eye-Movement Patterns in Natural Reading EACL 2024 Predicting Narratives of Climate Obstruction in Social Media Advertising ACL 2024 Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens EACL 2024 Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning AAAI 2024 Predicting the Performance of Foundation Models via Agreement-on-the-Line NeurIPS 2024 Prediction Error-based Classification for Class-Incremental Learning ICLR 2024 Predictive Accuracy-Based Active Learning for Medical Image Segmentation IJCAI 2024 Predictive auxiliary objectives in deep RL mimic learning in the brain ICLR 2024 Predictive Inference with Weak Supervision JMLR 2024 Predictive, scalable and interpretable knowledge tracing on structured domains ICLR 2024 PREDICT: Multi-Agent-based Debate Simulation for Generalized Hate Speech Detection EMNLP 2024 Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting IJCAI 2024 Preemptive Answer “Attacks” on Chain-of-Thought Reasoning ACL 2024