Skip to content
conftrace_

Learning Types

56,254 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 (1,984) 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)

GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection CVPR 2023 GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation ACL 2023 GEO-Bench: Toward Foundation Models for Earth Monitoring NeurIPS 2023 Geodesic Multi-Modal Mixup for Robust Fine-Tuning NeurIPS 2023 GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding EMNLP 2023 GeoMAE: Masked Geometric Target Prediction for Self-Supervised Point Cloud Pre-Training CVPR 2023 Geometric Inductive Biases for Identifiable Unsupervised Learning of Disentangled Representations AAAI 2023 Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training CVPR 2023 Geometrized Transformer for Self-Supervised Homography Estimation ICCV 2023 Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation CVPR 2023 GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding ICCV 2023 GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising NeurIPS 2023 GeT: Generative Target Structure Debiasing for Domain Adaptation ICCV 2023 Get Out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula (Extended Abstract) IJCAI 2023 Getting MoRE out of Mixture of Language Model Reasoning Experts EMNLP 2023 Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design NeurIPS 2023 GFlowNet Foundations JMLR 2023 GFPose: Learning 3D Human Pose Prior With Gradient Fields CVPR 2023 Give Me the Facts! A Survey on Factual Knowledge Probing in Pre-trained Language Models EMNLP 2023 GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task CVPR 2023 GLAD: A Global-to-Local Anomaly Detector WACV 2023 GLCC: A General Framework for Graph-Level Clustering AAAI 2023 GLeaD: Improving GANs With a Generator-Leading Task CVPR 2023 GliTr: Glimpse Transformers With Spatiotemporal Consistency for Online Action Prediction WACV 2023 Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition ACL 2023