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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)

A PAC-Bayes Analysis of Adversarial Robustness NeurIPS 2021 A Partial Label Metric Learning Algorithm for Class Imbalanced Data ACML 2021 A Partition Filter Network for Joint Entity and Relation Extraction EMNLP 2021 A Permutation-Equivariant Neural Network Architecture For Auction Design AAAI 2021 APGN: Adversarial and Parameter Generation Networks for Multi-Source Cross-Domain Dependency Parsing EMNLP 2021 APIRecX: Cross-Library API Recommendation via Pre-Trained Language Model EMNLP 2021 A Plug-and-Play Method for Controlled Text Generation EMNLP 2021 A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning ICML 2021 APo-VAE: Text Generation in Hyperbolic Space NAACL 2021 Apparently Irrational Choice as Optimal Sequential Decision Making AAAI 2021 Appending Adversarial Frames for Universal Video Attack WACV 2021 Approaching SMM4H with auto-regressive language models and back-translation NAACL 2021 Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning AISTATS 2021 Approximation Theory Based Methods for RKHS Bandits ICML 2021 A Preliminary Study on Evaluating Consultation Notes With Post-Editing EACL 2021 A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Partial Differential Equations COLT 2021 A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning JMLR 2021 A Proposal: Interactively Learning to Summarise Timelines by Reinforcement Learning ACL 2021 A Prototype-Oriented Framework for Unsupervised Domain Adaptation NeurIPS 2021 A Prototypical Network Approach for Evaluating Generated Emotional Speech Interspeech 2021 APS: Active Pretraining with Successor Features ICML 2021 AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic Tweets EACL 2021 Arabic Offensive Language on Twitter: Analysis and Experiments EACL 2021 AraELECTRA: Pre-Training Text Discriminators for Arabic Language Understanding EACL 2021 Arbitrary Conditional Distributions with Energy NeurIPS 2021