Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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

Papers (including subtopics)

Provably robust boosted decision stumps and trees against adversarial attacks NeurIPS 2019 Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers NeurIPS 2019 Psycholinguistics Meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering ACL 2019 PU-GAN: A Point Cloud Upsampling Adversarial Network ICCV 2019 Pun-GAN: Generative Adversarial Network for Pun Generation EMNLP 2019 Pun Generation with Surprise NAACL 2019 Pure Exploration with Multiple Correct Answers NeurIPS 2019 Putting An End to End-to-End: Gradient-Isolated Learning of Representations NeurIPS 2019 PyOD: A Python Toolbox for Scalable Outlier Detection JMLR 2019 Pyramid Memory Block and Timestep Attention for Speech Emotion Recognition Interspeech 2019 QE BERT: Bilingual BERT Using Multi-task Learning for Neural Quality Estimation ACL 2019 q-means: A quantum algorithm for unsupervised machine learning NeurIPS 2019 Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization IJCAI 2019 Quality Aware Generative Adversarial Networks NeurIPS 2019 Quantifying Uncertainty in Online Regression Forests JMLR 2019 Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection NeurIPS 2019 QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships AAAI 2019 QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions EMNLP 2019 Quasi-Newton Trust Region Policy Optimization CoRL 2019 Quasi-Perfect Stackelberg Equilibrium AAAI 2019 Quasi-Unsupervised Color Constancy CVPR 2019 Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach ICLR 2019 Querying NoSQL with Deep Learning to Answer Natural Language Questions AAAI 2019 Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering EMNLP 2019 QUOTA: The Quantile Option Architecture for Reinforcement Learning AAAI 2019