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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)

Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification ACL 2021 Using Hindsight to Anchor Past Knowledge in Continual Learning AAAI 2021 Using Large Self-Supervised Models for Low-Resource Speech Recognition Interspeech 2021 Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems ACL 2021 Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings EMNLP 2021 Using Pause Information for More Accurate Entity Recognition EMNLP 2021 Using Question Answering Rewards to Improve Abstractive Summarization EMNLP 2021 Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users AAAI 2021 Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias CVPR 2021 Using Unsupervised Learning for Data-driven Procurement Demand Aggregation AAAI 2021 Us vs. Them: A Dataset of Populist Attitudes, News Bias and Emotions EACL 2021 Utilizing Every Image Object for Semi-Supervised Phrase Grounding WACV 2021 Utilizing Self-Supervised Representations for MOS Prediction Interspeech 2021 UTNLP at SemEval-2021 Task 5: A Comparative Analysis of Toxic Span Detection using Attention-based, Named Entity Recognition, and Ensemble Models SemEval 2021 UVStyle-Net: Unsupervised Few-Shot Learning of 3D Style Similarity Measure for B-Reps ICCV 2021 UWSpeech: Speech to Speech Translation for Unwritten Languages AAAI 2021 UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP ACL 2021 VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021 Validating Label Consistency in NER Data Annotation EMNLP 2021 Variance Penalized On-Policy and Off-Policy Actor-Critic AAAI 2021 Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting ICCV 2021 Variational Autoencoder with Learned Latent Structure AISTATS 2021 Variational Auto-Regressive Gaussian Processes for Continual Learning ICML 2021 Variational Continual Bayesian Meta-Learning NeurIPS 2021 Variational Data Assimilation with a Learned Inverse Observation Operator ICML 2021