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Learning Types

56,254 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 (1,984) 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)

Intent-aware Recommendation via Disentangled Graph Contrastive Learning IJCAI 2023 Intent Detection and Slot Filling for Home Assistants: Dataset and Analysis for Bangla and Sylheti EMNLP 2023 Intent Discovery with Frame-guided Semantic Regularization and Augmentation ACL 2023 IntentQA: Context-aware Video Intent Reasoning ICCV 2023 Interactive and Explainable Region-Guided Radiology Report Generation CVPR 2023 Interactive Concept Bottleneck Models AAAI 2023 Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections ACL 2023 Interactive Learning with Pricing for Optimal and Stable Allocations in Markets AISTATS 2023 Interactive Machine Learning Solutions for Acoustic Monitoring of Animal Wildlife in Biosphere Reserves IJCAI 2023 Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision NeurIPS 2023 Interactive Span Recommendation for Biomedical Text ACL 2023 Interactive Text Generation EMNLP 2023 Interactive Visual Reasoning under Uncertainty NeurIPS 2023 Inter-image Contrastive Consistency for Multi-Person Pose Estimation AAAI 2023 Intermediate Domain Finetuning for Weakly Supervised Domain-adaptive Clinical NER ACL 2023 Internet Explorer: Targeted Representation Learning on the Open Web ICML 2023 Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics ICML 2023 Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction NeurIPS 2023 Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning MIDL 2023 Interpretable Latent Space Using Space-Filling Curves for Phonetic Analysis in Voice Conversion Interspeech 2023 Interpretable Style Transfer for Text-to-Speech with ControlVAE and Diffusion Bridge Interspeech 2023 Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning EMNLP 2023 Interpreting Answers to Yes-No Questions in User-Generated Content EMNLP 2023 Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation WACV 2023 Interpreting Indirect Answers to Yes-No Questions in Multiple Languages EMNLP 2023