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)

Robust TDOA Estimation Based on Time-Frequency Masking and Deep Neural Networks Interspeech 2018 Role of Regularization in the Prediction of Valence from Speech Interspeech 2018 RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews From Unsupervised Viewpoints CVPR 2018 Routing Networks: Adaptive Selection of Non-Linear Functions for Multi-Task Learning ICLR 2018 Rumor Detection on Twitter with Tree-structured Recursive Neural Networks ACL 2018 Safe Active Learning for Time-Series Modeling with Gaussian Processes NeurIPS 2018 SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories EMNLP 2018 Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies RSS 2018 Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation NeurIPS 2018 Sampling Informative Training Data for RNN Language Models ACL 2018 Sampling Strategies in Siamese Networks for Unsupervised Speech Representation Learning Interspeech 2018 SB@GU at the Complex Word Identification 2018 Shared Task NAACL 2018 Scalable Bilinear Pi Learning Using State and Action Features ICML 2018 Scalable Construction and Reasoning of Massive Knowledge Bases NAACL 2018 Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation NeurIPS 2018 Scalable Factorized Hierarchical Variational Autoencoder Training Interspeech 2018 Scalable Generalized Dynamic Topic Models AISTATS 2018 Scalable Hyperparameter Transfer Learning NeurIPS 2018 Scalable Initial State Interdiction for Factored MDPs IJCAI 2018 Scaling provable adversarial defenses NeurIPS 2018 SCAN: Learning Hierarchical Compositional Visual Concepts ICLR 2018 Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents IJCAI 2018 Scikit-Multiflow: A Multi-output Streaming Framework JMLR 2018 Scoring and Classifying Implicit Positive Interpretations: A Challenge of Class Imbalance COLING 2018 SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud ACML 2018