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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)

Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition NeurIPS 2022 SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification AAAI 2022 Section Classification in Clinical Notes with Multi-task Transformers EMNLP 2022 Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledge ACL 2022 Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems ACL 2022 SeeTek: Very Large-Scale Open-Set Logo Recognition With Text-Aware Metric Learning WACV 2022 SeeThroughNet: Resurrection of Auxiliary Loss by Preserving Class Probability Information CVPR 2022 SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning WACV 2022 SelecMix: Debiased Learning by Contradicting-pair Sampling NeurIPS 2022 Selecting Optimal Context Sentences for Event-Event Relation Extraction AAAI 2022 Selecting Stickers in Open-Domain Dialogue through Multitask Learning ACL 2022 Selective Differential Privacy for Language Modeling NAACL 2022 Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations AAAI 2022 Self-Consistency of the Fokker Planck Equation COLT 2022 SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation COLING 2022 Self-Guided Hard Negative Generation for Unsupervised Person Re-Identification IJCAI 2022 Self-supervised Amodal Video Object Segmentation NeurIPS 2022 Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation CVPR 2022 Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data AAAI 2022 Self-Supervised Bulk Motion Artifact Removal in Optical Coherence Tomography Angiography CVPR 2022 Self-Supervised Category-Level 6D Object Pose Estimation with Deep Implicit Shape Representation AAAI 2022 Self-Supervised Correlation Mining Network for Person Image Generation CVPR 2022 Self-Supervised Enhancement of Latent Discovery in GANs AAAI 2022 Self-Supervised Equivariant Learning for Oriented Keypoint Detection CVPR 2022 Self-Supervised Fair Representation Learning without Demographics NeurIPS 2022