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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)

Transfer learning for tensor Gaussian graphical models JMLR 2024 Transfer Learning for Text Classification via Model Risk Analysis EMNLP 2024 Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction IJCAI 2024 Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST) JMLR 2024 Transferring disentangled representations: bridging the gap between synthetic and real images NeurIPS 2024 Transferring Fairness using Multi-Task Learning with Limited Demographic Information EMNLP 2024 Transferring Knowledge From Large Foundation Models to Small Downstream Models ICML 2024 TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities EMNLP 2024 Transformer as Linear Expansion of Learngene AAAI 2024 Transformer-based Joint Modelling for Automatic Essay Scoring and Off-Topic Detection COLING 2024 Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning AAAI 2024 Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification AAAI 2024 Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce AAAI 2024 Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting ICLR 2024 Transformers Learn Transition Dynamics when Trained to Predict Markov Decision Processes EMNLP 2024 Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner NeurIPS 2024 TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression AISTATS 2024 Transitive Consistency Constrained Learning for Entity-to-Entity Stance Detection ACL 2024 Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-Based Similarity AAAI 2024 Translating speech with just images Interspeech 2024 Translation-based Lexicalization Generation and Lexical Gap Detection: Application to Kinship Terms ACL 2024 Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering ACL 2024 TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models ACL 2024 Trap-MID: Trapdoor-based Defense against Model Inversion Attacks NeurIPS 2024 TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification ACL 2024