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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)

Show, Recall, and Tell: Image Captioning with Recall Mechanism AAAI 2020 Siamese Tracking of Cell Behaviour Patterns MIDL 2020 Side Information Dependence as a Regularizer for Analyzing Human Brain Conditions across Cognitive Experiments AAAI 2020 Sign Bits Are All You Need for Black-Box Attacks ICLR 2020 Sign-OPT: A Query-Efficient Hard-label Adversarial Attack ICLR 2020 SIGTYP 2020 Shared Task: Prediction of Typological Features EMNLP 2020 SIGUA: Forgetting May Make Learning with Noisy Labels More Robust ICML 2020 SimAlign: High Quality Word Alignments Without Parallel Training Data Using Static and Contextualized Embeddings EMNLP 2020 SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification ICML 2020 Simple and Scalable Sparse k-means Clustering via Feature Ranking NeurIPS 2020 Simple Compounded-Label Training for Fact Extraction and Verification ACL 2020 Simple Hierarchical Multi-Task Neural End-To-End Entity Linking for Biomedical Text EMNLP 2020 Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora ACL 2020 Simple vs Oversampling-based Classification Methods for Fine Grained Arabic Dialect Identification in Twitter COLING 2020 Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints NeurIPS 2020 Simultaneous Learning of Pivots and Representations for Cross-Domain Sentiment Classification AAAI 2020 Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition NeurIPS 2020 Simultaneously Learning Transferable Symbols and Language Groundings from Perceptual Data for Instruction Following RSS 2020 Simultaneously Linking Entities and Extracting Relations from Biomedical Text without Mention-Level Supervision AAAI 2020 Simultaneous Translation Policies: From Fixed to Adaptive ACL 2020 SINAI at SemEval-2020 Task 12: Offensive Language Identification Exploring Transfer Learning Models SemEval 2020 Single Image Reflection Removal Through Cascaded Refinement CVPR 2020 Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language ACL 2020 Single Point Transductive Prediction ICML 2020 Single-Side Domain Generalization for Face Anti-Spoofing CVPR 2020