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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)

An Element-aware Multi-representation Model for Law Article Prediction EMNLP 2020 An Element-wise Visual-enhanced BiLSTM-CRF Model for Location Name Recognition EMNLP 2020 An Empirical Analysis of Human-Bot Interaction on Reddit EMNLP 2020 An Empirical Comparison of Unsupervised Constituency Parsing Methods ACL 2020 An Empirical Exploration of Local Ordering Pre-training for Structured Prediction EMNLP 2020 An Empirical Investigation of Contextualized Number Prediction EMNLP 2020 An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training EMNLP 2020 An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits NeurIPS 2020 An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining ACL 2020 An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks AACL 2020 An Empirical Study on Multi-Task Learning for Text Style Transfer and Paraphrase Generation COLING 2020 An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data EMNLP 2020 An end-to-end approach for the verification problem: learning the right distance ICML 2020 An End-to-End Architecture of Online Multi-Channel Speech Separation Interspeech 2020 An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling Interspeech 2020 An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization IJCAI 2020 An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil AACL 2020 A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning ICLR 2020 A Neural Model for Aggregating Coreference Annotation in Crowdsourcing COLING 2020 An Evaluation of Manual and Semi-Automatic Laughter Annotation Interspeech 2020 A New Class of Time Dependent Latent Factor Models with Applications JMLR 2020 A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories AAAI 2020 A New Framework for Online Testing of Heterogeneous Treatment Effect AAAI 2020 A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network ACML 2020 A New Training Pipeline for an Improved Neural Transducer Interspeech 2020