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)

Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network EMNLP 2018 Improving Multi-Robot Behavior Using Learning-Based Receding Horizon Task Allocation RSS 2018 Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags COLING 2018 Improving Neural Program Synthesis with Inferred Execution Traces NeurIPS 2018 Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors CVPR 2018 Improving Online Algorithms via ML Predictions NeurIPS 2018 Improving Reinforcement Learning Based Image Captioning with Natural Language Prior EMNLP 2018 Improving Reinforcement Learning with Human Input IJCAI 2018 Improving Sparse Representations in Exemplar-Based Voice Conversion with a Phoneme-Selective Objective Function Interspeech 2018 Improving Text-to-SQL Evaluation Methodology ACL 2018 Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect ICLR 2018 Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set EMNLP 2018 Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder EMNLP 2018 Inaudible Voice Commands: The Long-Range Attack and Defense NSDI 2018 Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems (Extended Abstract) IJCAI 2018 Incomplete Multi-View Weak-Label Learning IJCAI 2018 Inductive Two-Layer Modeling with Parametric Bregman Transfer ICML 2018 Inequity aversion improves cooperation in intertemporal social dilemmas NeurIPS 2018 Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing NeurIPS 2018 Inferring geometric constraints in human demonstrations CoRL 2018 Infinite-Horizon Gaussian Processes NeurIPS 2018 INGEOTEC at SemEval-2018 Task 1: EvoMSA and μTC for Sentiment Analysis SemEval 2018 Inherent Biases in Reference-based Evaluation for Grammatical Error Correction ACL 2018 INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process IJCAI 2018 In Search of Coherence and Consensus: Measuring the Interpretability of Statistical Topics JMLR 2018