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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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Papers (including subtopics)

Bayesian Methods for Semi-supervised Text Annotation COLING 2020 Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling L4DC 2020 Bayesian Network Model Averaging Classifiers by Subbagging PGM 2020 Bayesian network structure learning with causal effects in the presence of latent variables PGM 2020 Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract) AAAI 2020 Bayesian Reinforcement Learning via Deep, Sparse Sampling AISTATS 2020 BayesOpt Adversarial Attack ICLR 2020 BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition CVPR 2020 BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning CVPR 2020 Being Bayesian about Categorical Probability ICML 2020 Being neighbourly: Neural metaphor identification in discourse ACL 2020 Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy AAAI 2020 Belief Merging Operators as Maximum Likelihood Estimators IJCAI 2020 Beliefs We Can Believe in: Replacing Assumptions with Data in Real-Time Search AAAI 2020 Benchmarking Adversarial Robustness on Image Classification CVPR 2020 Benchmarking Multimodal Regex Synthesis with Complex Structures ACL 2020 Benchmarking the Robustness of Semantic Segmentation Models CVPR 2020 Benefits of Intermediate Annotations in Reading Comprehension ACL 2020 BERGAMOT-LATTE Submissions for the WMT20 Quality Estimation Shared Task EMNLP 2020 BERT-ATTACK: Adversarial Attack Against BERT Using BERT EMNLP 2020 BERT-Based Neural Collaborative Filtering and Fixed-Length Contiguous Tokens Explanation AACL 2020 BERT-enhanced Relational Sentence Ordering Network EMNLP 2020 BERTering RAMS: What and How Much does BERT Already Know About Event Arguments? - A Study on the RAMS Dataset EMNLP 2020 BERT-QE: Contextualized Query Expansion for Document Re-ranking EMNLP 2020 Bert Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets COLING 2020