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Found 9 papers, 1 papers with code
Cross-Lingual Cross-Modal Consolidation for Effective Multilingual Video Corpus Moment Retrieval
Existing multilingual video corpus moment retrieval (mVCMR) methods are mainly based on a two-stream structure.
Faster Algorithms for Generalized Mean Densest Subgraph Problem
In this paper, we are the first to show that a standard peeling algorithm can still yield $2^{1/p}$-approximation for the case $0<p < 1$.
Copula for Instance-wise Feature Selection and Ranking
Instance-wise feature selection and ranking methods can achieve a good selection of task-friendly features for each sample in the context of neural networks.
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning
Representation learning of source code is essential for applying machine learning to software engineering tasks.
Dataset Pruning: Reducing Training Data by Examining Generalization Influence
To answer these, we propose dataset pruning, an optimization-based sample selection method that can (1) examine the influence of removing a particular set of training samples on model's generalization ability with theoretical guarantee, and (2) construct the smallest subset of training data that yields strictly constrained generalization gap.
Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix
It is attracting attention to the long-tailed recognition problem, a burning issue that has become very popular recently.
Ranked #42 on
Long-tail Learning
on CIFAR-100-LT (ρ=100)
Lifting Imbalanced Regression with Self-Supervised Learning
In this paper, we work on a seamless marriage of imbalanced regression and self-supervised learning.
New Perspective on Progressive GANs Distillation for One-class Novelty Detection
One-class novelty detection is conducted to identify anomalous instances, with different distributions from the expected normal instances.
Instance-weighted Central Similarity for Multi-label Image Retrieval
Deep hashing has been widely applied to large-scale image retrieval by encoding high-dimensional data points into binary codes for efficient retrieval.
