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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)

Empowering Multi-step Reasoning across Languages via Program-Aided Language Models EMNLP 2024 Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance CVPR 2024 Empowering Time Series Analysis with Large Language Models: A Survey IJCAI 2024 Empowering Unsupervised Domain Adaptation With Large-Scale Pre-Trained Vision-Language Models WACV 2024 Empowering Whisper as a Joint Multi-Talker and Target-Talker Speech Recognition System Interspeech 2024 EMR-Merging: Tuning-Free High-Performance Model Merging NeurIPS 2024 Emulating Author Style: A Feasibility Study of Prompt-enabled Text Stylization with Off-the-Shelf LLMs EACL 2024 Encoding Hierarchical Schema via Concept Flow for Multifaceted Ideology Detection ACL 2024 Encoding of lexical tone in self-supervised models of spoken language NAACL 2024 Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective EMNLP 2024 EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection AAAI 2024 Endowing Neural Language Learners with Human-like Biases: A Case Study on Dependency Length Minimization COLING 2024 End-To-End Causal Effect Estimation from Unstructured Natural Language Data NeurIPS 2024 End-to-end Learnable Clustering for Intent Learning in Recommendation NeurIPS 2024 End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty UAI 2024 End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding AAAI 2024 End-to-End Ontology Learning with Large Language Models NeurIPS 2024 End-to-end Parsing of Procedural Text into Flow Graphs COLING 2024 End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical Decoding IJCAI 2024 End-to-End Speech Recognition for Endangered Languages of Nepal EACL 2024 Energy-based Epistemic Uncertainty for Graph Neural Networks NeurIPS 2024 Energy-based Hopfield Boosting for Out-of-Distribution Detection NeurIPS 2024 Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NeurIPS 2024 Energy Efficient Streaming Time Series Classification with Attentive Power Iteration AAAI 2024 Enforcing Sparsity on Latent Space for Robust and Explainable Representations WACV 2024