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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)

Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies ACL 2020 Oxymorons: a preliminary corpus investigation ACL 2020 PAC-Bayesian Contrastive Unsupervised Representation Learning UAI 2020 PackIt: A Virtual Environment for Geometric Planning ICML 2020 PAC learning with stable and private predictions COLT 2020 PADS: Policy-Adapted Sampling for Visual Similarity Learning CVPR 2020 Parallel Corpus Filtering via Pre-trained Language Models ACL 2020 Parallel resources for Tunisian Arabic Dialect Translation COLING 2020 Parameterised Resource-Bounded ATL AAAI 2020 Parameterized Algorithms for Finding a Collective Set of Items AAAI 2020 Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning AAAI 2020 Parameterized Rate-Distortion Stochastic Encoder ICML 2020 Parameter Optimization for Learning-based Control of Control-Affine Systems L4DC 2020 Parametric Gaussian Process Regressors ICML 2020 Parametric Instance Classification for Unsupervised Visual Feature learning NeurIPS 2020 Paraphrase Augmented Task-Oriented Dialog Generation ACL 2020 Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic Diversity EMNLP 2020 Paraphrase Generation via Adversarial Penalizations EMNLP 2020 Parsing as Pretraining AAAI 2020 Parsing in the absence of related languages: Evaluating low-resource dependency parsers on Tagalog COLING 2020 Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank EMNLP 2020 Part-dependent Label Noise: Towards Instance-dependent Label Noise NeurIPS 2020 Partial Label Learning with Batch Label Correction AAAI 2020 Partially-Aligned Data-to-Text Generation with Distant Supervision EMNLP 2020 Partially Observable Markov Decision Process Modelling for Assessing Hierarchies ACML 2020