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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)

Identification of Causal Effects in the Presence of Selection Bias AAAI 2019 Identifying Android Malware Using Network-Based Approaches AAAI 2019 Identifying Causal Effects via Context-specific Independence Relations NeurIPS 2019 Identifying Predictive Causal Factors from News Streams EMNLP 2019 Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks EMNLP 2019 Identifying Visible Actions in Lifestyle Vlogs ACL 2019 Identity From Here, Pose From There: Self-Supervised Disentanglement and Generation of Objects Using Unlabeled Videos ICCV 2019 IIT-KGP at MEDIQA 2019: Recognizing Question Entailment using Sci-BERT stacked with a Gradient Boosting Classifier ACL 2019 I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs AAAI 2019 IL2M: Class Incremental Learning With Dual Memory ICCV 2019 Im2Pencil: Controllable Pencil Illustration From Photographs CVPR 2019 Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning AAAI 2019 Image Block Augmentation for One-Shot Learning AAAI 2019 Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach EMNLP 2019 Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method AAAI 2019 Image Synthesis From Reconfigurable Layout and Style ICCV 2019 Image Synthesis with a Convolutional Capsule Generative Adversarial Network MIDL 2019 Image Synthesis with a Single (Robust) Classifier NeurIPS 2019 Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation CVPR 2019 Image-to-Image Translation with Multi-Path Consistency Regularization IJCAI 2019 Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models CoRL 2019 IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation EMNLP 2019 IMHO Fine-Tuning Improves Claim Detection NAACL 2019 Imitating Latent Policies from Observation ICML 2019 Imitation Learning for Non-Autoregressive Neural Machine Translation ACL 2019