Skip to content
conftrace_

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

1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Adapting Neural Networks for the Estimation of Treatment Effects NeurIPS 2019 Adapting Object Detectors via Selective Cross-Domain Alignment CVPR 2019 Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models AISTATS 2019 Adaptive Auxiliary Task Weighting for Reinforcement Learning NeurIPS 2019 Adaptive Confidence Smoothing for Generalized Zero-Shot Learning CVPR 2019 Adaptive Density Estimation for Generative Models NeurIPS 2019 Adaptive Ensemble Active Learning for Drifting Data Stream Mining IJCAI 2019 Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression COLT 2019 Adaptive Influence Maximization with Myopic Feedback NeurIPS 2019 Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation EMNLP 2019 Adaptively Sparse Transformers EMNLP 2019 Adaptive Posterior Learning: few-shot learning with a surprise-based memory module ICLR 2019 Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding ICCV 2019 Adaptive Scale-Invariant Online Algorithms for Learning Linear Models ICML 2019 Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection AAAI 2019 Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates NeurIPS 2019 A Dataset for Noun Compositionality Detection for a Slavic Language ACL 2019 AdaTransform: Adaptive Data Transformation ICCV 2019 AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN IJCAI 2019 Additive Adversarial Learning for Unbiased Authentication CVPR 2019 Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering EMNLP 2019 A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem CVPR 2019 A Decoupled 3D Facial Shape Model by Adversarial Training ICCV 2019 A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data AAAI 2019 A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification ACL 2019