Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

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

Papers (including subtopics)

Unsupervised Dialog Structure Learning NAACL 2019 Unsupervised Discovery of Gendered Language through Latent-Variable Modeling ACL 2019 Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents EMNLP 2019 Unsupervised Discovery of Parts, Structure, and Dynamics ICLR 2019 Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis NeurIPS 2019 Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network CVPR 2019 Unsupervised Domain Adaptation Based on Source-Guided Discrepancy AAAI 2019 Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations AAAI 2019 Unsupervised Domain Adaptation for Distance Metric Learning ICLR 2019 Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning CVPR 2019 Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss CVPR 2019 Unsupervised Domain Adaptation via Regularized Conditional Alignment ICCV 2019 Unsupervised Domain-Specific Deblurring via Disentangled Representations CVPR 2019 Unsupervised Embedding Enhancements of Knowledge Graphs using Textual Associations IJCAI 2019 Unsupervised Embedding Learning via Invariant and Spreading Instance Feature CVPR 2019 Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction NeurIPS 2019 Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice Conversion Interspeech 2019 Unsupervised Evaluation and Weighted Aggregation of Ranked Classification Predictions JMLR 2019 Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer EMNLP 2019 Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion CVPR 2019 Unsupervised Extraction of Partial Translations for Neural Machine Translation NAACL 2019 Unsupervised Fake News Detection on Social Media: A Generative Approach AAAI 2019 Unsupervised Feature Selection by Pareto Optimization AAAI 2019 Unsupervised Graph Association for Person Re-Identification ICCV 2019 Unsupervised Hierarchical Story Infilling NAACL 2019