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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)

An Adversarial Learning Framework For A Persona-Based Multi-Turn Dialogue Model NAACL 2019 Analysis by Adversarial Synthesis — A Novel Approach for Speech Vocoding Interspeech 2019 Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains ACL 2019 Analysis of Deep Learning Architectures for Cross-Corpus Speech Emotion Recognition Interspeech 2019 Analysis of Network Lasso for Semi-Supervised Regression AISTATS 2019 Analyzing Federated Learning through an Adversarial Lens ICML 2019 Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings NAACL 2019 Analyzing Sentence Fusion in Abstractive Summarization EMNLP 2019 Analyzing the Limitations of Cross-lingual Word Embedding Mappings ACL 2019 Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media NAACL 2019 An Analysis of Source-Side Grammatical Errors in NMT ACL 2019 An annotated dataset of literary entities NAACL 2019 AnatomyGen: Deep Anatomy Generation From Dense Representation With Applications in Mandible Synthesis MIDL 2019 An Attentive Fine-Grained Entity Typing Model with Latent Type Representation EMNLP 2019 Anchor Diffusion for Unsupervised Video Object Segmentation ICCV 2019 Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-View Clustering AAAI 2019 An Effective Approach to Unsupervised Machine Translation ACL 2019 An Effective Label Noise Model for DNN Text Classification NAACL 2019 An Efficient Approach to Informative Feature Extraction from Multimodal Data AAAI 2019 An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models NAACL 2019 An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation EMNLP 2019 An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction EMNLP 2019 An Encoding Adversarial Network for Anomaly Detection ACML 2019 An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph IJCAI 2019 A neurally plausible model learns successor representations in partially observable environments NeurIPS 2019