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)

Best Arm Identification in Spectral Bandits IJCAI 2020 Best-item Learning in Random Utility Models with Subset Choices AISTATS 2020 Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer AISTATS 2020 Beyond Accuracy: Behavioral Testing of NLP Models with CheckList ACL 2020 Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning MIDL 2020 Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World AAAI 2020 Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks AAAI 2020 Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs NeurIPS 2020 Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses NeurIPS 2020 Beyond Labels: Knowledge Elicitation using Deep Metric Learning and Psychometric Testing IJCAI 2020 Beyond Network Pruning: a Joint Search-and-Training Approach IJCAI 2020 Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels ICML 2020 Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties NeurIPS 2020 Beyond Trees: Classification with Sparse Pairwise Dependencies JMLR 2020 Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles ICML 2020 Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation ACL 2020 Biased TextRank: Unsupervised Graph-Based Content Extraction COLING 2020 Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs NeurIPS 2020 Bidding in Smart Grid PDAs: Theory, Analysis and Strategy AAAI 2020 Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation IJCAI 2020 Bi-Directional Generation for Unsupervised Domain Adaptation AAAI 2020 Bidirectional Graph Reasoning Network for Panoptic Segmentation CVPR 2020 Bidirectional Model-based Policy Optimization ICML 2020 Big Self-Supervised Models are Strong Semi-Supervised Learners NeurIPS 2020 Bi-Level Speaker Supervision for One-Shot Speech Synthesis Interspeech 2020