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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)

Classification of Histology Sections via Multispectral Convolutional Sparse Coding CVPR 2014 Collective Matrix Factorization Hashing for Multimodal Data CVPR 2014 Consistent Binary Classification with Generalized Performance Metrics NeurIPS 2014 Constructing Robust Affinity Graphs for Spectral Clustering CVPR 2014 Context Driven Scene Parsing with Attention to Rare Classes CVPR 2014 Convolutional Kernel Networks NeurIPS 2014 Decorrelating Semantic Visual Attributes by Resisting the Urge to Share CVPR 2014 Deep Convolutional Neural Network for Image Deconvolution NeurIPS 2014 Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters CVPR 2014 Deep Fragment Embeddings for Bidirectional Image Sentence Mapping NeurIPS 2014 Deep Generative Stochastic Networks Trainable by Backprop ICML 2014 Deep Joint Task Learning for Generic Object Extraction NeurIPS 2014 Deep Learning Face Representation by Joint Identification-Verification NeurIPS 2014 Deep Learning Face Representation from Predicting 10,000 Classes CVPR 2014 Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning NeurIPS 2014 Deep Networks with Internal Selective Attention through Feedback Connections NeurIPS 2014 DeepPose: Human Pose Estimation via Deep Neural Networks CVPR 2014 Deep Recursive Neural Networks for Compositionality in Language NeurIPS 2014 Deterministic Policy Gradient Algorithms ICML 2014 Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities CVPR 2014 Discriminative Metric Learning by Neighborhood Gerrymandering NeurIPS 2014 Discriminative Unsupervised Feature Learning with Convolutional Neural Networks NeurIPS 2014 Distance Encoded Product Quantization CVPR 2014 DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition CVPR 2014 Do Deep Nets Really Need to be Deep? NeurIPS 2014