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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)

Transfer learning for multilingual vacancy text generation EMNLP 2022 Transfer Learning for Pose Estimation of Illustrated Characters WACV 2022 Transfer Learning for Robust Low-Resource Children's Speech ASR with Transformers and Source-Filter Warping Interspeech 2022 Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation AAAI 2022 Transfer Learning Parallel Metaphor using Bilingual Embeddings EMNLP 2022 Transferring Knowledge from Structure-aware Self-attention Language Model to Sequence-to-Sequence Semantic Parsing COLING 2022 Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching NeurIPS 2022 Transfer RL across Observation Feature Spaces via Model-Based Regularization ICLR 2022 Transformer based ensemble for emotion detection ACL 2022 Transformer-Based Unsupervised Learning for Early Detection of Sepsis (Student Abstract) AAAI 2022 Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space EMNLP 2022 Transformer Language Models without Positional Encodings Still Learn Positional Information EMNLP 2022 Transformer with Memory Replay AAAI 2022 Transforming Sequence Tagging Into A Seq2Seq Task EMNLP 2022 Translation between Molecules and Natural Language EMNLP 2022 Translation Word-Level Auto-Completion: What Can We Achieve Out of the Box? EMNLP 2022 TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning AAAI 2022 Transn’s Submissions to the WMT22 Translation Suggestion Task EMNLP 2022 Transplantation of Conversational Speaking Style with Interjections in Sequence-to-Sequence Speech Synthesis Interspeech 2022 Transport-Oriented Feature Aggregation for Speaker Embedding Learning Interspeech 2022 TransRank: Self-Supervised Video Representation Learning via Ranking-Based Transformation Recognition CVPR 2022 TranS: Transition-based Knowledge Graph Embedding with Synthetic Relation Representation EMNLP 2022 TransWeather: Transformer-Based Restoration of Images Degraded by Adverse Weather Conditions CVPR 2022 TransZero: Attribute-Guided Transformer for Zero-Shot Learning AAAI 2022 Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation CVPR 2022