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)

POST: POlicy-Based Switch Tracking AAAI 2020 Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development AAAI 2020 PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction EMNLP 2020 Practical Federated Gradient Boosting Decision Trees AAAI 2020 Practical No-box Adversarial Attacks against DNNs NeurIPS 2020 Precise Tradeoffs in Adversarial Training for Linear Regression COLT 2020 PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition CVPR 2020 Predicting and Using Target Length in Neural Machine Translation AACL 2020 Predicting Choice with Set-Dependent Aggregation ICML 2020 Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers CVPR 2020 Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts ACL 2020 Predicting Detection Filters for Small Footprint Open-Vocabulary Keyword Spotting Interspeech 2020 Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning CVPR 2020 Predicting independent living outcomes from written reports of social workers EMNLP 2020 Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution CVPR 2020 Predicting Opioid Overdose Crude Rates with Text-Based Twitter Features (Student Abstract) AAAI 2020 Predicting Performance for Natural Language Processing Tasks ACL 2020 Predicting Propositional Satisfiability via End-to-End Learning AAAI 2020 Predicting the Difficulty and Response Time of Multiple Choice Questions Using Transfer Learning ACL 2020 Predicting the Topical Stance and Political Leaning of Media using Tweets ACL 2020 Predicting Typological Features in WALS using Language Embeddings and Conditional Probabilities: ÚFAL Submission to the SIGTYP 2020 Shared Task EMNLP 2020 Prediction Focused Topic Models via Feature Selection AISTATS 2020 Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control ICML 2020 Prediction of Sleepiness Ratings from Voice by Man and Machine Interspeech 2020 Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks ICLR 2020