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)

SimMIM: A Simple Framework for Masked Image Modeling CVPR 2022 Simple and Effective Unsupervised Speech Synthesis Interspeech 2022 Simple and Effective Zero-shot Cross-lingual Phoneme Recognition Interspeech 2022 Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences EMNLP 2022 Simple but Effective: CLIP Embeddings for Embodied AI CVPR 2022 Simple Mechanisms for Welfare Maximization in Rich Advertising Auctions NeurIPS 2022 Simple Multi-Dataset Detection CVPR 2022 Simple Questions Generate Named Entity Recognition Datasets EMNLP 2022 Simple Unsupervised Graph Representation Learning AAAI 2022 Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos NeurIPS 2022 Simplified Graph Convolution with Heterophily NeurIPS 2022 Simplified Graph Learning for Inductive Short Text Classification EMNLP 2022 SimT: Handling Open-Set Noise for Domain Adaptive Semantic Segmentation CVPR 2022 Simulated Adversarial Testing of Face Recognition Models CVPR 2022 Simulating Bandit Learning from User Feedback for Extractive Question Answering ACL 2022 Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model AAAI 2022 Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback ICML 2022 Simultaneous Missing Value Imputation and Structure Learning with Groups NeurIPS 2022 SINAI@SMM4H’22: Transformers for biomedical social media text mining in Spanish COLING 2022 Single Image Object Counting and Localizing Using Active-Learning WACV 2022 Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation ACL 2022 Single Model Uncertainty Estimation via Stochastic Data Centering NeurIPS 2022 Single-pass Streaming Lower Bounds for Multi-armed Bandits Exploration with Instance-sensitive Sample Complexity NeurIPS 2022 Single Source One Shot Reenactment Using Weighted Motion From Paired Feature Points WACV 2022 Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions ACL 2022