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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)

Semi-Supervised Learning for Video Captioning EMNLP 2020 Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition AAAI 2020 Semi-Supervised Neural Architecture Search NeurIPS 2020 Semi-supervised Parsing with a Variational Autoencoding Parser ACL 2020 Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders ACL 2020 Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks CVPR 2020 Semi-Supervised Semantic Segmentation With Cross-Consistency Training CVPR 2020 Semi-Supervised Streaming Learning with Emerging New Labels AAAI 2020 SeNsER: Learning Cross-Building Sensor Metadata Tagger EMNLP 2020 Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity ACL 2020 SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge EMNLP 2020 Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis ACL 2020 Sentiment Classification in Customer Service Dialogue with Topic-Aware Multi-Task Learning AAAI 2020 Separate in Latent Space: Unsupervised Single Image Layer Separation AAAI 2020 Seq2Edits: Sequence Transduction Using Span-level Edit Operations EMNLP 2020 Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning AAAI 2020 Sequence-Level Mixed Sample Data Augmentation EMNLP 2020 SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling ACL 2020 SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness CVPR 2020 SESS: Self-Ensembling Semi-Supervised 3D Object Detection CVPR 2020 Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing IJCAI 2020 Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events EMNLP 2020 Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training CVPR 2020 SGAP-Net: Semantic-Guided Attentive Prototypes Network for Few-Shot Human-Object Interaction Recognition AAAI 2020 SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans CVPR 2020