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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)

Probabilistic Structural Latent Representation for Unsupervised Embedding CVPR 2020 Probabilistic Time Series Forecasting with Shape and Temporal Diversity NeurIPS 2020 Probability Weighted Compact Feature for Domain Adaptive Retrieval CVPR 2020 Probing for Referential Information in Language Models ACL 2020 Probing Natural Language Inference Models through Semantic Fragments AAAI 2020 Probing Neural Dialog Models for Conversational Understanding ACL 2020 Probing Pretrained Language Models for Lexical Semantics EMNLP 2020 Progressive Adversarial Networks for Fine-Grained Domain Adaptation CVPR 2020 Progressive Domain Adaptation for Object Detection WACV 2020 Progressive Feature Polishing Network for Salient Object Detection AAAI 2020 Progressive Mirror Detection CVPR 2020 Progressive Relation Learning for Group Activity Recognition CVPR 2020 PROMT Systems for WMT 2020 Shared News Translation Task EMNLP 2020 Pronunciation Erroneous Tendency Detection with Language Adversarial Represent Learning Interspeech 2020 PropagationNet: Propagate Points to Curve to Learn Structure Information CVPR 2020 ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training EMNLP 2020 Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract) AAAI 2020 Proximal Distilled Evolutionary Reinforcement Learning AAAI 2020 Proxy Anchor Loss for Deep Metric Learning CVPR 2020 Proxy Network for Few Shot Learning ACML 2020 PSENet: Psoriasis Severity Evaluation Network AAAI 2020 Pseudo-Bidirectional Decoding for Local Sequence Transduction EMNLP 2020 PSNet: A Style Transfer Network for Point Cloud Stylization on Geometry and Color WACV 2020 PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation AAAI 2020 PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision EMNLP 2020