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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)

OntoProtein: Protein Pretraining With Gene Ontology Embedding ICLR 2022 OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression AAAI 2022 OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs NeurIPS 2022 Open-Domain, Content-Based, Multi-Modal Fact-Checking of Out-of-Context Images via Online Resources CVPR 2022 Open Domain Question Answering with A Unified Knowledge Interface ACL 2022 Open-domain Video Commentary Generation EMNLP 2022 Open-ended Knowledge Tracing for Computer Science Education EMNLP 2022 OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages ACL 2022 OpenOOD: Benchmarking Generalized Out-of-Distribution Detection NeurIPS 2022 OpenPrompt: An Open-source Framework for Prompt-learning ACL 2022 OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology NeurIPS 2022 Open-Topic False Information Detection on Social Networks with Contrastive Adversarial Learning EMNLP 2022 Open Vocabulary Extreme Classification Using Generative Models ACL 2022 Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling CVPR 2022 Open-Vocabulary One-Stage Detection With Hierarchical Visual-Language Knowledge Distillation CVPR 2022 Open World Classification with Adaptive Negative Samples EMNLP 2022 Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity CVPR 2022 Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction ACL 2022 Optimal LED Spectral Multiplexing for NIR2RGB Translation CVPR 2022 Optimal Positive Generation via Latent Transformation for Contrastive Learning NeurIPS 2022 Optimal SQ Lower Bounds for Learning Halfspaces with Massart Noise COLT 2022 Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix ICLR 2022 Optimizer Amalgamation ICLR 2022 Optum’s Submission to WMT22 Biomedical Translation Tasks EMNLP 2022 OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression NeurIPS 2022