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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)

Unsupervised Domain Adaptation for Person Re-identification via Heterogeneous Graph Alignment AAAI 2021 Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer AAAI 2021 Unsupervised Extractive Summarization-Based Representations for Accurate and Explainable Collaborative Filtering ACL 2021 Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination CVPR 2021 Unsupervised Foreground Extraction via Deep Region Competition NeurIPS 2021 Unsupervised Human Pose Estimation Through Transforming Shape Templates CVPR 2021 Unsupervised Hyperbolic Metric Learning CVPR 2021 Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders CVPR 2021 Unsupervised Image Generation With Infinite Generative Adversarial Networks ICCV 2021 Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context EMNLP 2021 Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach CVPR 2021 Unsupervised Learning of 3D Object Categories From Videos in the Wild CVPR 2021 Unsupervised Learning of Depth and Depth-of-Field Effect From Natural Images With Aperture Rendering Generative Adversarial Networks CVPR 2021 Unsupervised Learning of Discourse Structures using a Tree Autoencoder AAAI 2021 Unsupervised Multi-Source Domain Adaptation for Person Re-Identification CVPR 2021 Unsupervised Multi-Source Domain Adaptation Without Access to Source Data CVPR 2021 Unsupervised Multi-Target Domain Adaptation for Acoustic Scene Classification Interspeech 2021 Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation WACV 2021 Unsupervised Neural-Based Graph Clustering for Variable-Length Speech Representation Discovery of Zero-Resource Languages Interspeech 2021 Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning ACL 2021 Unsupervised Neural Machine Translation with Universal Grammar EMNLP 2021 Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport NeurIPS 2021 Unsupervised Object-Based Transition Models For 3D Partially Observable Environments NeurIPS 2021 Unsupervised Object Detection With LIDAR Clues CVPR 2021 Unsupervised Opinion Summarization with Content Planning AAAI 2021