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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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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Using Lexical Alignment and Referring Ability to Address Data Sparsity in Situated Dialog Reference Resolution EMNLP 2018 Using Linguistic Resources to Evaluate the Quality of Annotated Corpora COLING 2018 Using Monolingual Data in Neural Machine Translation: a Systematic Study EMNLP 2018 Using Paraphrasing and Memory-Augmented Models to Combat Data Sparsity in Question Interpretation with a Virtual Patient Dialogue System NAACL 2018 Using Side Information to Reliably Learn Low-Rank Matrices from Missing and Corrupted Observations JMLR 2018 Using Universal Dependencies in cross-linguistic complexity research EMNLP 2018 Using Wikipedia Edits in Low Resource Grammatical Error Correction EMNLP 2018 UTFPR at WMT 2018: Minimalistic Supervised Corpora Filtering for Machine Translation EMNLP 2018 UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition CVPR 2018 Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach ICML 2018 Variance-Reduced Stochastic Gradient Descent on Streaming Data NeurIPS 2018 Variance Regularized Counterfactual Risk Minimization via Variational Divergence Minimization ICML 2018 Variational Autoencoders for Deforming 3D Mesh Models CVPR 2018 Variational Continual Learning ICLR 2018 Variational Inference and Deep Generative Models ACL 2018 Variational inference for the multi-armed contextual bandit AISTATS 2018 Variational Inference of Disentangled Latent Concepts from Unlabeled Observations ICLR 2018 Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition NeurIPS 2018 Variational Sequential Labelers for Semi-Supervised Learning EMNLP 2018 Video Prediction via Selective Sampling NeurIPS 2018 Video Prediction with Appearance and Motion Conditions ICML 2018 Video Representation Learning Using Discriminative Pooling CVPR 2018 Video-to-Video Synthesis NeurIPS 2018 Viewpoint-Aware Video Summarization CVPR 2018 Visual Data Synthesis via GAN for Zero-Shot Video Classification IJCAI 2018