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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

ReDAL: Region-Based and Diversity-Aware Active Learning for Point Cloud Semantic Segmentation ICCV 2021 Red Carpet to Fight Club: Partially-Supervised Domain Transfer for Face Recognition in Violent Videos WACV 2021 Re-Distributing Biased Pseudo Labels for Semi-Supervised Semantic Segmentation: A Baseline Investigation ICCV 2021 Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation NeurIPS 2021 Reducing the Annotation Effort for Video Object Segmentation Datasets WACV 2021 Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment NeurIPS 2021 Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification EMNLP 2021 Re-Energizing Domain Discriminator With Sample Relabeling for Adversarial Domain Adaptation ICCV 2021 Re-entry Prediction for Online Conversations via Self-Supervised Learning EMNLP 2021 Reference-based Weak Supervision for Answer Sentence Selection using Web Data EMNLP 2021 Reference-Centric Models for Grounded Collaborative Dialogue EMNLP 2021 Reference-Free Word- and Sentence-Level Translation Evaluation with Token-Matching Metrics EMNLP 2021 Refined approachability algorithms and application to regret minimization with global costs JMLR 2021 RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization WACV 2021 Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation CVPR 2021 Refining BERT Embeddings for Document Hashing via Mutual Information Maximization EMNLP 2021 Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification CVPR 2021 Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction ACL 2021 Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models ACL 2021 Refocusing on Relevance: Personalization in NLG EMNLP 2021 Reformulating Zero-shot Action Recognition for Multi-label Actions NeurIPS 2021 ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models EMNLP 2021 Region-Aware Adaptive Instance Normalization for Image Harmonization CVPR 2021 Region-Aware Contrastive Learning for Semantic Segmentation ICCV 2021 Region Similarity Representation Learning ICCV 2021