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

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1,314

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Papers (including subtopics)

Saliency and Human Fixations: State-of-the-Art and Study of Comparison Metrics ICCV 2013 Saliency Detection via Absorbing Markov Chain ICCV 2013 Sample-Specific Late Fusion for Visual Category Recognition CVPR 2013 Scalable Inference for Logistic-Normal Topic Models NeurIPS 2013 Scalable Influence Estimation in Continuous-Time Diffusion Networks NeurIPS 2013 SCALPEL: Segmentation Cascades with Localized Priors and Efficient Learning CVPR 2013 Scoring anomalies: a M-estimation formulation AISTATS 2013 Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NeurIPS 2013 Second Order Online Collaborative Filtering ACML 2013 Selective sampling algorithms for cost-sensitive multiclass prediction ICML 2013 Selective Transfer Machine for Personalized Facial Action Unit Detection CVPR 2013 Semantically-Based Human Scanpath Estimation with HMMs ICCV 2013 Semantic Segmentation without Annotating Segments ICCV 2013 Semantic Transform: Weakly Supervised Semantic Inference for Relating Visual Attributes ICCV 2013 Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion ICML 2013 Semi-supervised Domain Adaptation with Instance Constraints CVPR 2013 Semi-supervised Learning for Large Scale Image Cosegmentation ICCV 2013 Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video CVPR 2013 Semi-Supervised Learning Using Greedy Max-Cut JMLR 2013 Semi-supervised Learning with Constraints for Person Identification in Multimedia Data CVPR 2013 Semi-supervised Node Splitting for Random Forest Construction CVPR 2013 Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization ICCV 2013 Sequential Bayesian Search ICML 2013 Sequential Transfer in Multi-armed Bandit with Finite Set of Models NeurIPS 2013 Sieving Regression Forest Votes for Facial Feature Detection in the Wild ICCV 2013