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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)

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising ICML 2020 Dynamic Memory Induction Networks for Few-Shot Text Classification ACL 2020 Dynamic Network Pruning with Interpretable Layerwise Channel Selection AAAI 2020 Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments AAAI 2020 Dynamic Sampling Strategies for Multi-Task Reading Comprehension ACL 2020 Dynamics-Aware Embeddings ICLR 2020 Dynamics-Aware Unsupervised Discovery of Skills ICLR 2020 Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection EMNLP 2020 DYNOTEARS: Structure Learning from Time-Series Data AISTATS 2020 Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users based on Weakly Supervised Learning COLING 2020 Early-Learning Regularization Prevents Memorization of Noisy Labels NeurIPS 2020 ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System AAAI 2020 EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks AAAI 2020 e-Commerce and Sentiment Analysis: Predicting Outcomes of Class Action Lawsuits ACL 2020 ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and Prediction ACL 2020 EdinburghNLP at WNUT-2020 Task 2: Leveraging Transformers with Generalized Augmentation for Identifying Informativeness in COVID-19 Tweets EMNLP 2020 EEG-Based Short-Time Auditory Attention Detection Using Multi-Task Deep Learning Interspeech 2020 Effective Architectures for Low Resource Multilingual Named Entity Transliteration AACL 2020 Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports EMNLP 2020 Effective Diversity in Population Based Reinforcement Learning NeurIPS 2020 Effectively Aligning and Filtering Parallel Corpora under Sparse Data Conditions ACL 2020 Effectively pretraining a speech translation decoder with Machine Translation data EMNLP 2020 Effectively Unbiased FID and Inception Score and Where to Find Them CVPR 2020 Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering IJCAI 2020 Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models EMNLP 2020