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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)

Sequence-to-Set Semantic Tagging for Complex Query Reformulation and Automated Text Categorization in Biomedical IR using Self-Attention ACL 2020 Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue ICLR 2020 Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget CVPR 2020 Sequential Mode Estimation with Oracle Queries AAAI 2020 Sequential Modelling of the Evolution of Word Representations for Semantic Change Detection EMNLP 2020 SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling ACL 2020 SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness CVPR 2020 Serialized Output Training for End-to-End Overlapped Speech Recognition Interspeech 2020 SERIL: Noise Adaptive Speech Enhancement Using Regularization-Based Incremental Learning Interspeech 2020 Service-oriented Text-to-SQL Parsing EMNLP 2020 SESS: Self-Ensembling Semi-Supervised 3D Object Detection CVPR 2020 Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing IJCAI 2020 Set-Constrained Viterbi for Set-Supervised Action Segmentation CVPR 2020 SetConv: A New Approach for Learning from Imbalanced Data EMNLP 2020 Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events EMNLP 2020 Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training CVPR 2020 SGAS: Sequential Greedy Architecture Search CVPR 2020 SGD Learns One-Layer Networks in WGANs ICML 2020 SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans CVPR 2020 Shaping Visual Representations with Language for Few-Shot Classification ACL 2020 Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games AAAI 2020 SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation CVPR 2020 Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification ICML 2020 Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data CVPR 2020 Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder EMNLP 2020