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)

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Papers (including subtopics)

Learning Using Local Membership Queries COLT 2013 Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space NeurIPS 2013 Learning with Marginalized Corrupted Features ICML 2013 Learning with Noisy Labels NeurIPS 2013 Learning without Human Scores for Blind Image Quality Assessment CVPR 2013 Learning word embeddings efficiently with noise-contrastive estimation NeurIPS 2013 Least Soft-Threshold Squares Tracking CVPR 2013 Lexical and Hierarchical Topic Regression NeurIPS 2013 Linear decision rule as aspiration for simple decision heuristics NeurIPS 2013 Localization and Adaptation in Online Learning AISTATS 2013 Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection CVPR 2013 Loss-Proportional Subsampling for Subsequent ERM ICML 2013 Low-Rank Matrix and Tensor Completion via Adaptive Sampling NeurIPS 2013 Low-rank matrix reconstruction and clustering via approximate message passing NeurIPS 2013 Machine Teaching for Bayesian Learners in the Exponential Family NeurIPS 2013 Manifold Based Face Synthesis from Sparse Samples ICCV 2013 Manifold-based Similarity Adaptation for Label Propagation NeurIPS 2013 Manifold Regularization and Semi-supervised Learning: Some Theoretical Analyses JMLR 2013 Manipulation Pattern Discovery: A Nonparametric Bayesian Approach ICCV 2013 Matrix Completion From any Given Set of Observations NeurIPS 2013 Maximum Mean Discrepancy Imitation Learning RSS 2013 Max-Margin Multiple-Instance Dictionary Learning ICML 2013 Measures and Meta-Measures for the Supervised Evaluation of Image Segmentation CVPR 2013 Memoized Online Variational Inference for Dirichlet Process Mixture Models NeurIPS 2013 Memory Limited, Streaming PCA NeurIPS 2013