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Classification

15,805 papers

Papers per year

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Papers

Visual Understanding of Complex Table Structures From Document Images WACV 2022
Multi-Task Classification of Sewer Pipe Defects and Properties Using a Cross-Task Graph Neural Network Decoder WACV 2022
Geometry-Inspired Top-K Adversarial Perturbations WACV 2022
Interpretable Semantic Photo Geolocation WACV 2022
Meta-Learning for Multi-Label Few-Shot Classification WACV 2022
Online Continual Learning via Candidates Voting WACV 2022
Hyperbolic Busemann Learning with Ideal Prototypes NIPS 2021
Backward-Compatible Prediction Updates: A Probabilistic Approach NIPS 2021
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound NIPS 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild NIPS 2021
Global Filter Networks for Image Classification NIPS 2021
Scaling Neural Tangent Kernels via Sketching and Random Features NIPS 2021
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters NIPS 2021
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection NIPS 2021
Learning Optimal Predictive Checklists NIPS 2021
Uniform Sampling over Episode Difficulty NIPS 2021
Play to Grade: Testing Coding Games as Classifying Markov Decision Process NIPS 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence NIPS 2021
Early-stopped neural networks are consistent NIPS 2021
Reliable Decisions with Threshold Calibration NIPS 2021
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation NIPS 2021
Confident Anchor-Induced Multi-Source Free Domain Adaptation NIPS 2021
UCB-based Algorithms for Multinomial Logistic Regression Bandits NIPS 2021
Multiclass Boosting and the Cost of Weak Learning NIPS 2021
AutoBalance: Optimized Loss Functions for Imbalanced Data NIPS 2021