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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 Combination of Probabilistic Classifiers using Multivariate Normal Mixtures JMLR 2019 Bayesian Generative Active Deep Learning ICML 2019 Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification AAAI 2019 Bayesian Joint Estimation of Multiple Graphical Models NeurIPS 2019 Bayesian Learning for Neural Dependency Parsing NAACL 2019 Bayesian Loss for Crowd Count Estimation With Point Supervision ICCV 2019 Bayesian Optimization for Policy Search via Online-Offline Experimentation JMLR 2019 Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery Interspeech 2019 BeamSeg: A Joint Model for Multi-Document Segmentation and Topic Identification CoNLL 2019 BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series IJCAI 2019 Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits UAI 2019 Be Inaccurate but Don’t Be Indecisive: How Error Distribution Can Affect User Experience AAAI 2019 Belief Propagation Network for Hard Inductive Semi-Supervised Learning IJCAI 2019 Belief Update without Compactness in Non-finitary Languages IJCAI 2019 Benchmarking Benchmarks: Introducing New Automatic Indicators for Benchmarking Spoken Language Understanding Corpora Interspeech 2019 Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach EMNLP 2019 BERT-based Lexical Substitution ACL 2019 BERT is Not an Interlingua and the Bias of Tokenization EMNLP 2019 Best Arm Identification for Contaminated Bandits JMLR 2019 Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT EMNLP 2019 Better Algorithms for Stochastic Bandits with Adversarial Corruptions COLT 2019 Better Exploration with Optimistic Actor Critic NeurIPS 2019 Better Fine-Tuning via Instance Weighting for Text Classification AAAI 2019 Better Rewards Yield Better Summaries: Learning to Summarise Without References EMNLP 2019 Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations CoRL 2019