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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)

Dscorer: A Fast Evaluation Metric for Discourse Representation Structure Parsing ACL 2020 DSNAS: Direct Neural Architecture Search Without Parameter Retraining CVPR 2020 Dual Adversarial Co-Learning for Multi-Domain Text Classification AAAI 2020 Dual Attention in Time and Frequency Domain for Voice Activity Detection Interspeech 2020 Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks NeurIPS 2020 Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks ICML 2020 Dual Policy Distillation IJCAI 2020 Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation EMNLP 2020 Dual Relation Semi-Supervised Multi-Label Learning AAAI 2020 Dual Stage Learning Based Dynamic Time-Frequency Mask Generation for Audio Event Classification Interspeech 2020 Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation COLING 2020 DualTKB: A Dual Learning Bridge between Text and Knowledge Base EMNLP 2020 Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning NeurIPS 2020 DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior CVPR 2020 Duluth at SemEval-2020 Task 12: Offensive Tweet Identification in English with Logistic Regression SemEval 2020 Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines SemEval 2020 DUNIT: Detection-Based Unsupervised Image-to-Image Translation CVPR 2020 DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda Classification SemEval 2020 DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles NeurIPS 2020 Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery ICLR 2020 Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change ACL 2020 Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning EMNLP 2020 Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning EMNLP 2020 Dynamic Data Selection for Curriculum Learning via Ability Estimation EMNLP 2020 Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog ACL 2020