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)

Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering CoRL 2020 TailorGAN: Making User-Defined Fashion Designs WACV 2020 Taking a hint: How to leverage loss predictors in contextual bandits? COLT 2020 TaPas: Weakly Supervised Table Parsing via Pre-training ACL 2020 TapNet: Multivariate Time Series Classification with Attentional Prototypical Network AAAI 2020 Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis AAAI 2020 Targeted Adversarial Perturbations for Monocular Depth Prediction NeurIPS 2020 Targeted Content Feedback in Spoken Language Learning and Assessment Interspeech 2020 Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes JMLR 2020 Target Inference in Argument Conclusion Generation ACL 2020 Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks CVPR 2020 Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation IJCAI 2020 Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics ICML 2020 Task-Relevant Adversarial Imitation Learning CoRL 2020 Task-Robust Model-Agnostic Meta-Learning NeurIPS 2020 Task Understanding from Confusing Multi-task Data ICML 2020 TA-Student VQA: Multi-Agents Training by Self-Questioning CVPR 2020 Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis EMNLP 2020 Taxonomy Construction of Unseen Domains via Graph-based Cross-Domain Knowledge Transfer ACL 2020 Taxy.io@FinTOC-2020: Multilingual Document Structure Extraction using Transfer Learning COLING 2020 TBT: Targeted Neural Network Attack With Bit Trojan CVPR 2020 Tchebycheff Procedure for Multi-task Text Classification ACL 2020 Teaching a GAN What Not to Learn NeurIPS 2020 Teaching Machine Comprehension with Compositional Explanations EMNLP 2020 Teaching with Limited Information on the Learner’s Behaviour ICML 2020