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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)

Attribute Dominance: What Pops Out? ICCV 2013 Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NeurIPS 2013 Binary Code Ranking with Weighted Hamming Distance CVPR 2013 BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition CVPR 2013 Cartesian K-Means CVPR 2013 Category Modeling from Just a Single Labeling: Use Depth Information to Guide the Learning of 2D Models CVPR 2013 Compete to Compute NeurIPS 2013 Compressible Motion Fields CVPR 2013 Compressive Feature Learning NeurIPS 2013 Contrastive Learning Using Spectral Methods NeurIPS 2013 Convex Two-Layer Modeling NeurIPS 2013 Correlated random features for fast semi-supervised learning NeurIPS 2013 Data-Driven 3D Primitives for Single Image Understanding ICCV 2013 Decoding Children's Social Behavior CVPR 2013 Deep content-based music recommendation NeurIPS 2013 Deep Fisher Networks for Large-Scale Image Classification NeurIPS 2013 Deep Neural Networks for Object Detection NeurIPS 2013 Designing Category-Level Attributes for Discriminative Visual Recognition CVPR 2013 Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going? ICCV 2013 Detection Evolution with Multi-order Contextual Co-occurrence CVPR 2013 DeViSE: A Deep Visual-Semantic Embedding Model NeurIPS 2013 Dictionary Learning from Ambiguously Labeled Data CVPR 2013 Diffusion Processes for Retrieval Revisited CVPR 2013 Discriminative Non-blind Deblurring CVPR 2013 Discriminative Segment Annotation in Weakly Labeled Video CVPR 2013