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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)

COBE: Contextualized Object Embeddings from Narrated Instructional Video NeurIPS 2020 COCAS: A Large-Scale Clothes Changing Person Dataset for Re-Identification CVPR 2020 CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines AAAI 2020 COD3S: Diverse Generation with Discrete Semantic Signatures EMNLP 2020 CodeBERT: A Pre-Trained Model for Programming and Natural Languages EMNLP 2020 Coding Textual Inputs Boosts the Accuracy of Neural Networks EMNLP 2020 Co-GCN for Multi-View Semi-Supervised Learning AAAI 2020 Coherent Hierarchical Multi-Label Classification Networks NeurIPS 2020 Coherent Reconstruction of Multiple Humans From a Single Image CVPR 2020 Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks EMNLP 2020 Collaborative Distillation for Ultra-Resolution Universal Style Transfer CVPR 2020 Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning AAAI 2020 Collaborative Sampling in Generative Adversarial Networks AAAI 2020 Collegial Ensembles NeurIPS 2020 ColorFool: Semantic Adversarial Colorization CVPR 2020 Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization CVPR 2020 Combinational Class Activation Maps for Weakly Supervised Object Localization WACV 2020 Combining BERT with Static Word Embeddings for Categorizing Social Media EMNLP 2020 Combining Fine-Tuning with a Feature-Based Approach for Aspect Extraction on Reviews (Student Abstract) AAAI 2020 Combining ResNet and Transformer for Chinese Grammatical Error Diagnosis AACL 2020 Combining Subword Representations into Word-level Representations in the Transformer Architecture ACL 2020 CoMIR: Contrastive Multimodal Image Representation for Registration NeurIPS 2020 CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning EMNLP 2020 Commonsense Knowledge Base Completion with Structural and Semantic Context AAAI 2020 Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers EMNLP 2020