conftrace_

AAAI 2023

2,023 papers

Layout Representation Learning with Spatial and Structural Hierarchies

Yue Bai, Dipu Manandhar, Zhaowen Wang, John Collomosse, Yun Fu

Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network

Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh

Deep Digging into the Generalization of Self-Supervised Monocular Depth Estimation

Jinwoo Bae, Sungho Moon, Sunghoon Im

Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers

Naveed Akhtar, Mohammad Amir Asim Khan Jalwana

Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels

Sumyeong Ahn, Se-Young Yun

Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses

Amro Abbas, Stephane Deny

ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform Discharges

Ruizhe Zheng, Jun Li, Yi Wang, Tian Luo, Yuguo Yu

Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms

Jiyuan Zhang, Shanshan Jia, Zhaofei Yu, Tiejun Huang

Disentangling Reafferent Effects by Doing Nothing

Benedict Wilkins, Kostas Stathis

CMNet: Contrastive Magnification Network for Micro-Expression Recognition

Mengting Wei, Xingxun Jiang, Wenming Zheng, Yuan Zong, Cheng Lu

Self-Supervised Graph Learning for Long-Tailed Cognitive Diagnosis

Shanshan Wang, Zhen Zeng, Xun Yang, Xingyi Zhang

Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition

Qingyu Wang, Tielin Zhang, Minglun Han, Yi Wang, Duzhen Zhang

Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs

Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund

ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks

Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan

AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work

Pritam Sarkar, Aaron Posen, Ali Etemad

Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild

Hanting Li, Hongjing Niu, Zhaoqing Zhu, Feng Zhao

Persuasion Strategies in Advertisements

Yaman Kumar, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg

A Machine with Short-Term, Episodic, and Semantic Memory Systems

Taewoon Kim, Michael Cochez, Vincent Francois-Lavet, Mark Neerincx, Piek Vossen

A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks

Stephen Keeley, Benjamin Letham, Craig Sanders, Chase Tymms, Michael Shvartsman

Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse

Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian

Hierarchical ConViT with Attention-Based Relational Reasoner for Visual Analogical Reasoning

Wentao He, Jialu Zhang, Jianfeng Ren, Ruibin Bai, Xudong Jiang

Reducing ANN-SNN Conversion Error through Residual Membrane Potential

Zecheng Hao, Tong Bu, Jianhao Ding, Tiejun Huang, Zhaofei Yu

Back to the Future: Toward a Hybrid Architecture for Ad Hoc Teamwork

Hasra Dodampegama, Mohan Sridharan