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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)

Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation AAAI 2019 Syntax-aware Multilingual Semantic Role Labeling EMNLP 2019 Syntax-Aware Neural Semantic Role Labeling AAAI 2019 Syntax-Enhanced Self-Attention-Based Semantic Role Labeling EMNLP 2019 Synthetic Propaganda Embeddings To Train A Linear Projection EMNLP 2019 Synthetic QA Corpora Generation with Roundtrip Consistency ACL 2019 System Description: The Submission of FOKUS to the WMT 19 Robustness Task ACL 2019 TableSense: Spreadsheet Table Detection with Convolutional Neural Networks AAAI 2019 TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning CVPR 2019 Tagged Back-Translation ACL 2019 Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation CVPR 2019 Talk2Car: Taking Control of Your Self-Driving Car EMNLP 2019 Talking Face Generation by Adversarially Disentangled Audio-Visual Representation AAAI 2019 TallyQA: Answering Complex Counting Questions AAAI 2019 Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes IJCAI 2019 Tangent-Normal Adversarial Regularization for Semi-Supervised Learning CVPR 2019 Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation ACL 2019 Task-Driven Common Representation Learning via Bridge Neural Network AAAI 2019 Task-Free Continual Learning CVPR 2019 Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset EMNLP 2019 Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation ACL 2019 T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition AAAI 2019 TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding AAAI 2019 Team DOMLIN: Exploiting Evidence Enhancement for the FEVER Shared Task EMNLP 2019 Tell Me Where I Am: Object-Level Scene Context Prediction CVPR 2019