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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Papers (including subtopics)

BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation ICCV 2015 Budgeted Bandit Problems with Continuous Random Costs ACML 2015 Building a Bird Recognition App and Large Scale Dataset With Citizen Scientists: The Fine Print in Fine-Grained Dataset Collection CVPR 2015 Building Dynamic Cloud Maps From the Ground Up ICCV 2015 Calibrated Structured Prediction NeurIPS 2015 Cascading Bandits: Learning to Rank in the Cascade Model ICML 2015 Cheap Bandits ICML 2015 Class Consistent Multi-Modal Fusion With Binary Features CVPR 2015 Classifier Adaptation at Prediction Time CVPR 2015 Classifier Learning With Hidden Information CVPR 2015 Class-prior Estimation for Learning from Positive and Unlabeled Data ACML 2015 Closed-form Estimators for High-dimensional Generalized Linear Models NeurIPS 2015 Collaborative Feature Learning From Social Media CVPR 2015 Collaboratively Learning Preferences from Ordinal Data NeurIPS 2015 Combinatorial Bandits Revisited NeurIPS 2015 Combinatorial Cascading Bandits NeurIPS 2015 Community Detection via Measure Space Embedding NeurIPS 2015 ConceptLearner: Discovering Visual Concepts From Weakly Labeled Image Collections CVPR 2015 Conditional High-Order Boltzmann Machine: A Supervised Learning Model for Relation Learning ICCV 2015 Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels AISTATS 2015 Confidence Preserving Machine for Facial Action Unit Detection ICCV 2015 Consistency of structured output learning with missing labels ACML 2015 Consistent Multilabel Classification NeurIPS 2015 Constrained Convolutional Neural Networks for Weakly Supervised Segmentation ICCV 2015 Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets JMLR 2015