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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)

Adaptive Neural Speech Enhancement with a Denoising Variational Autoencoder Interspeech 2020 Adaptive Probing Policies for Shortest Path Routing NeurIPS 2020 Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach AAAI 2020 Adaptive Region-Based Active Learning ICML 2020 Adaptive Reward-Poisoning Attacks against Reinforcement Learning ICML 2020 Adaptive Sampling for Stochastic Risk-Averse Learning NeurIPS 2020 Adaptive Shrinkage Estimation for Streaming Graphs NeurIPS 2020 Adaptive Speaker Normalization for CTC-Based Speech Recognition Interspeech 2020 Adaptive Submodular Maximization under Stochastic Item Costs COLT 2020 Adaptive Subspaces for Few-Shot Learning CVPR 2020 Adaptive Trade-Offs in Off-Policy Learning AISTATS 2020 A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction ACL 2020 A Dataset for Tracking Entities in Open Domain Procedural Text EMNLP 2020 Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task EMNLP 2020 Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training MIDL 2020 A Deep Generative Model for Fragment-Based Molecule Generation AISTATS 2020 A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling MIDL 2020 A Deep Learning-Based Kalman Filter for Speech Enhancement Interspeech 2020 A Deep Metric Learning Method for Biomedical Passage Retrieval COLING 2020 A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards ACL 2020 A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation IJCAI 2020 Ad-hoc Document Retrieval using Weak-Supervision with BERT and GPT2 EMNLP 2020 ADINet: Attribute Driven Incremental Network for Retinal Image Classification CVPR 2020 A Discrete Variational Recurrent Topic Model without the Reparametrization Trick NeurIPS 2020 A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning AAAI 2020