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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data ACL 2019 Exploiting Explicit Paths for Multi-hop Reading Comprehension ACL 2019 Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning ACL 2019 Exploiting Local Feature Patterns for Unsupervised Domain Adaptation AAAI 2019 Exploiting Monolingual Data at Scale for Neural Machine Translation EMNLP 2019 Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation EMNLP 2019 Exploiting Temporal Context for 3D Human Pose Estimation in the Wild CVPR 2019 Exploiting the Contagious Effect for Employee Turnover Prediction AAAI 2019 Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection AAAI 2019 Exploring Author Context for Detecting Intended vs Perceived Sarcasm ACL 2019 Exploring Deep Multimodal Fusion of Text and Photo for Hate Speech Classification ACL 2019 Exploring Diachronic Changes of Biomedical Knowledge using Distributed Concept Representations ACL 2019 Exploring Diverse Expressions for Paraphrase Generation EMNLP 2019 Exploring Human Gender Stereotypes with Word Association Test EMNLP 2019 Exploring Human-Like Reading Strategy for Abstractive Text Summarization AAAI 2019 Exploring Methods for the Automatic Detection of Errors in Manual Transcription Interspeech 2019 Exploring Object Relation in Mean Teacher for Cross-Domain Detection CVPR 2019 Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation ACL 2019 Exploring the Landscape of Spatial Robustness ICML 2019 Exploring Transfer Learning and Domain Data Selection for the Biomedical Translation ACL 2019 Expressive Body Capture: 3D Hands, Face, and Body From a Single Image CVPR 2019 Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images NeurIPS 2019 Extracting Possessions from Social Media: Images Complement Language EMNLP 2019 Extracting Symptoms and their Status from Clinical Conversations ACL 2019 Extractive Summarization of Long Documents by Combining Global and Local Context EMNLP 2019