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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)

Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction AAAI 2020 Iterative Pseudo-Labeling for Speech Recognition Interspeech 2020 It’s Morphin’ Time! Combating Linguistic Discrimination with Inflectional Perturbations ACL 2020 It’s not a Non-Issue: Negation as a Source of Error in Machine Translation EMNLP 2020 IUST at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text Using Deep Neural Networks and Linear Baselines SemEval 2020 IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping CoRL 2020 Ivy: Instrumental Variable Synthesis for Causal Inference AISTATS 2020 IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience AAAI 2020 Jacobian Adversarially Regularized Networks for Robustness ICLR 2020 JANE: Jointly Adversarial Network Embedding IJCAI 2020 JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces CVPR 2020 JCT at SemEval-2020 Task 1: Combined Semantic Vector Spaces Models for Unsupervised Lexical Semantic Change Detection SemEval 2020 Jelly Bean World: A Testbed for Never-Ending Learning ICLR 2020 jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models ACL 2020 Joint Adversarial Learning for Domain Adaptation in Semantic Segmentation AAAI 2020 Joint Character-Level Word Embedding and Adversarial Stability Training to Defend Adversarial Text AAAI 2020 Joint Contrastive Learning with Infinite Possibilities NeurIPS 2020 Joint Detection of Sentence Stress and Phrase Boundary for Prosody Interspeech 2020 Joint Entity and Relation Extraction for Legal Documents with Legal Feature Enhancement COLING 2020 Joint Intent Detection and Entity Linking on Spatial Domain Queries EMNLP 2020 Joint Learning of the Graph and the Data Representation for Graph-Based Semi-Supervised Learning COLING 2020 Joint Learning with Pre-trained Transformer on Named Entity Recognition and Relation Extraction Tasks for Clinical Analytics EMNLP 2020 Jointly Fine-Tuning “BERT-Like” Self Supervised Models to Improve Multimodal Speech Emotion Recognition Interspeech 2020 Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values AAAI 2020 Joint Modelling of Emotion and Abusive Language Detection ACL 2020