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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)

Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems AISTATS 2022 Reinforcement Learning with Large Action Spaces for Neural Machine Translation COLING 2022 Reinforcement Learning with Stochastic Reward Machines AAAI 2022 Rejection sampling from shape-constrained distributions in sublinear time AISTATS 2022 Relational Multi-Task Learning: Modeling Relations between Data and Tasks ICLR 2022 Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL NeurIPS 2022 RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction ACL 2022 RelCLIP: Adapting Language-Image Pretraining for Visual Relationship Detection via Relational Contrastive Learning EMNLP 2022 Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric ACL 2022 Reliability Exploration with Self-Ensemble Learning for Domain Adaptive Person Re-identification AAAI 2022 Reliable Adversarial Distillation with Unreliable Teachers ICLR 2022 Reliable Inlier Evaluation for Unsupervised Point Cloud Registration AAAI 2022 Reliable Propagation-Correction Modulation for Video Object Segmentation AAAI 2022 Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance CVPR 2022 RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning ICLR 2022 Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer CVPR 2022 Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks NeurIPS 2022 REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos AAAI 2022 Removing Batch Normalization Boosts Adversarial Training ICML 2022 RényiCL: Contrastive Representation Learning with Skew Rényi Divergence NeurIPS 2022 Repairing Neural Networks by Leaving the Right Past Behind NeurIPS 2022 Replicability under Near-Perfect Conditions – A Case-Study from Automatic Summarization ACL 2022 Rep-Net: Efficient On-Device Learning via Feature Reprogramming CVPR 2022 Repo4QA: Answering Coding Questions via Dense Retrieval on GitHub Repositories COLING 2022 RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training IJCAI 2022