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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)

Cross-channel Communication Networks NeurIPS 2019 Cross-domain and Cross-lingual Abusive Language Detection: A Hybrid Approach with Deep Learning and a Multilingual Lexicon ACL 2019 Cross Domain Model Compression by Structurally Weight Sharing CVPR 2019 Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval EMNLP 2019 Cross-Domain NER using Cross-Domain Language Modeling ACL 2019 Cross-Domain Visual Representations via Unsupervised Graph Alignment AAAI 2019 CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation CVPR 2019 Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing EMNLP 2019 Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank EMNLP 2019 Cross-Lingual Dependency Parsing with Unlabeled Auxiliary Languages CoNLL 2019 Cross-lingual Language Model Pretraining NeurIPS 2019 Cross-lingual Structure Transfer for Relation and Event Extraction EMNLP 2019 Cross-Lingual Training for Automatic Question Generation ACL 2019 Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding EMNLP 2019 Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information ACL 2019 Cross-Modal Self-Attention Network for Referring Image Segmentation CVPR 2019 CSEye: A Proposed Solution for Accurate and Accessible One-to-Many Face Verification AAAI 2019 Cubic LSTMs for Video Prediction AAAI 2019 CUNI System for the Building Educational Applications 2019 Shared Task: Grammatical Error Correction ACL 2019 CUNI System for the WMT19 Robustness Task ACL 2019 Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLG ACL 2019 Curls & Whey: Boosting Black-Box Adversarial Attacks CVPR 2019 Cycle-Consistency for Robust Visual Question Answering CVPR 2019 CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions AAAI 2019 Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization AAAI 2019