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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)

Learning From Noisy Anchors for One-Stage Object Detection CVPR 2020 Learning From Synthetic Animals CVPR 2020 Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020 Learning from Unlabelled Data for Clinical Semantic Textual Similarity EMNLP 2020 Learning From Web Data With Self-Organizing Memory Module CVPR 2020 Learning Fused Pixel and Feature-Based View Reconstructions for Light Fields CVPR 2020 Learning Geocentric Object Pose in Oblique Monocular Images CVPR 2020 Learning Geometric Word Meta-Embeddings ACL 2020 Learning Graph Convolutional Network for Skeleton-Based Human Action Recognition by Neural Searching AAAI 2020 Learning Higher Representations from Pre-Trained Deep Models with Data Augmentation for the COMPARE 2020 Challenge Mask Task Interspeech 2020 Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment CVPR 2020 Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback EMNLP 2020 Learning Instance Occlusion for Panoptic Segmentation CVPR 2020 Learning Interactions and Relationships Between Movie Characters CVPR 2020 Learning Interpretable Representations with Informative Entanglements IJCAI 2020 Learning Invariant Representation for Unsupervised Image Restoration CVPR 2020 Learning Invariants through Soft Unification NeurIPS 2020 Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume AAAI 2020 Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems EMNLP 2020 Learning Light Field Angular Super-Resolution via a Geometry-Aware Network AAAI 2020 Learning Longterm Representations for Person Re-Identification Using Radio Signals CVPR 2020 Learning Memory-Based Control for Human-Scale Bipedal Locomotion RSS 2020 Learning Memory-Guided Normality for Anomaly Detection CVPR 2020 Learning Meta Face Recognition in Unseen Domains CVPR 2020 Learning Multimodal Representations for Unseen Activities WACV 2020