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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)

Towards Conceptual Compression NeurIPS 2016 Track and Segment: An Iterative Unsupervised Approach for Video Object Proposals CVPR 2016 Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection CVPR 2016 Training Deep Neural Networks via Direct Loss Minimization ICML 2016 Understanding Real World Indoor Scenes With Synthetic Data CVPR 2016 Universal Approximation Results for the Temporal Restricted Boltzmann Machine and the Recurrent Temporal Restricted Boltzmann Machine JMLR 2016 Unrestricted Vocabulary Keyword Spotting Using LSTM-CTC Interspeech 2016 Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification CVPR 2016 Unsupervised Domain Adaptation with Residual Transfer Networks NeurIPS 2016 Unsupervised Learning of 3D Structure from Images NeurIPS 2016 Unsupervised Learning of Discriminative Attributes and Visual Representations CVPR 2016 Unsupervised Learning of Spoken Language with Visual Context NeurIPS 2016 Using Self-Contradiction to Learn Confidence Measures in Stereo Vision CVPR 2016 Video2GIF: Automatic Generation of Animated GIFs From Video CVPR 2016 Virtual Worlds as Proxy for Multi-Object Tracking Analysis CVPR 2016 Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks NeurIPS 2016 Visualizing and Understanding Deep Texture Representations CVPR 2016 Visual Question Answering with Question Representation Update (QRU) NeurIPS 2016 Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes CVPR 2016 Walk and Learn: Facial Attribute Representation Learning From Egocentric Video and Contextual Data CVPR 2016 Weakly Supervised Deep Detection Networks CVPR 2016 Weakly Supervised Object Boundaries CVPR 2016 Weakly Supervised Object Localization With Progressive Domain Adaptation CVPR 2016 Weakly-supervised text-to-speech alignment confidence measure COLING 2016 We Are Humor Beings: Understanding and Predicting Visual Humor CVPR 2016