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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)

Can You Spot the Semantic Predicate in this Video? COLING 2018 Capsule Networks for Low Resource Spoken Language Understanding Interspeech 2018 Capturing Regional Variation with Distributed Place Representations and Geographic Retrofitting EMNLP 2018 CARER: Contextualized Affect Representations for Emotion Recognition EMNLP 2018 CartoonGAN: Generative Adversarial Networks for Photo Cartoonization CVPR 2018 Cascade Adversarial Machine Learning Regularized with a Unified Embedding ICLR 2018 CatBoost: unbiased boosting with categorical features NeurIPS 2018 Causal Bandits with Propagating Inference ICML 2018 Causal Discovery from Discrete Data using Hidden Compact Representation NeurIPS 2018 Causal Explanation Analysis on Social Media EMNLP 2018 CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training ICLR 2018 Causal Inference via Kernel Deviance Measures NeurIPS 2018 Causal Inference with Noisy and Missing Covariates via Matrix Factorization NeurIPS 2018 Causality Analysis of Twitter Sentiments and Stock Market Returns ACL 2018 Causal Structure Learning via Temporal Markov Networks PGM 2018 Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval IJCAI 2018 Certifying Some Distributional Robustness with Principled Adversarial Training ICLR 2018 Challenges of Using Text Classifiers for Causal Inference EMNLP 2018 Change-Point Computation for Large Graphical Models: A Scalable Algorithm for Gaussian Graphical Models with Change-Points JMLR 2018 Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality ICLR 2018 Character-level Language Modeling with Gated Hierarchical Recurrent Neural Networks Interspeech 2018 Character-level Supervision for Low-resource POS Tagging ACL 2018 Chi-square Generative Adversarial Network ICML 2018 "Chitty-Chitty-Chat Bot": Deep Learning for Conversational AI IJCAI 2018 CHS-NET: A Cascaded Neural Network with Semi-Focal Loss for Mitosis Detection ACML 2018