Papers
734 papers found
On the Interpretability of Attention Networks
Lakshmi Narayan Pandey, Rahul Vashisht, Harish G. Ramaswamy
Out of Distribution Detection via Neural Network
Anchoring
Rushil Anirudh, Jayaraman J. Thiagarajan
Pose Guided Human Image Synthesis with Partially
Decoupled GAN
Jianhan Wu, Shijing Si, Jianzong Wang et al.
Position-dependent partial convolutions for
supervised spatial interpolation
Hirotaka Hachiya, Kotaro Nagayoshi, Asako Iwaki et al.
Probabilistic Fusion of Neural Networks that
Incorporates Global Information
Peng Xiao, Biao Zhang, Samuel Cheng et al.
ProtoBandit: Efficient Prototype Selection via
Multi-Armed Bandits
Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
Robust computation of optimal transport by
$β$-potential regularization
Shintaro Nakamura, Han Bao, Masashi Sugiyama
Robust Direct Learning for Causal Data Fusion
Xinyu Li, Yilin Li, Qing Cui et al.
Robust Multi-Objective Reinforcement Learning with
Dynamic Preferences
Francois Buet-Golfouse, Parth Pahwa
Robust Scene Text Detection via Learnable Scene
Transformations
Yuheng Cao, Mengjie Zhou, Jie Chen
RoLNiP: Robust Learning Using Noisy Pairwise
Comparisons
Samartha S. Maheshwara, Naresh Manwani
Semantic Cross Attention for Few-shot Learning
Bin Xiao, Chien-Liang Liu, Wen-Hoar Hsaio
Sliced Wasserstein variational inference
Mingxuan Yi, Song Liu
SNAIL: Semi-Separated Uncertainty Adversarial
Learning for Universal Domain Adaptation
Zhongyi Han, Wan Su, Rundong He et al.
Temporal aware Multi-Interest Graph Neural Network
for Session-based Recommendation
Qi Shen, Shixuan Zhu, Yitong Pang et al.
Towards Data-Free Domain Generalization
Ahmed Frikha, Haokun Chen, Denis Krompaß et al.
Trusted Loss Correction for Noisy Multi-Label
Learning
Amirmasoud Ghiassi, Cosmin Octavian Pene, Robert Birke et al.
Unsupervised Photo-to-Caricature Generation with
Adaptive Select Layer-Instance Normalization and
Semi-cycle Consistency
Li Zhiwei, Cai Weiling, Cairun Wang
Value Function Approximations via Kernel Embeddings
for No-Regret Reinforcement Learning
Sayak Ray Chowdhury, Rafael Oliveira
When to Classify Events in Open Times Series?
Youssef Achenchabe, Alexis Bondu, Cornuéjols Antoine et al.
$h$-DBSCAN: A simple fast DBSCAN algorithm for big data
Shaoyuan Weng, Jin Gou, Zongwen Fan
$K^2$-GNN: Multiple Users’ Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks
Huixin Zhan, Kun Zhang, Chenyi Hu et al.
A Causal Approach for Unfair Edge Prioritization and Discrimination Removal
Balaraman Ravindran Pavan Ravishankar Pranshu Malviya
A Mutual Information Regularization for Adversarial Training
Modeste Atsague, Olukorede Fakorede, Jin Tian