Papers
1,988 papers found
Fault-Aware Neural Code Rankers
Jeevana Priya Inala, Chenglong Wang, Mei Yang et al.
Knowledge-Aware Bayesian Deep Topic Model
Dongsheng Wang, Yi.shi Xu, Miaoge Li et al.
Pure Transformers are Powerful Graph Learners
Jinwoo Kim, Dat Nguyen, Seonwoo Min et al.
Saliency-Aware Neural Architecture Search
Ramtin Hosseini, Pengtao Xie
Few-shot Image Generation via Adaptation-Aware Kernel Modulation
Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh et al.
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games
Shichang Zhang, Yozen Liu, Neil Shah et al.
Graph Neural Networks are Dynamic Programmers
Andrew J Dudzik, Petar Veličković
Self-Aware Personalized Federated Learning
Huili Chen, Jie Ding, Eric W. Tramel et al.
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
Hao Lu, Wenze Liu, Zixuan Ye et al.
TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training
Chang Chen, Min Li, Zhihua Wu et al.
Sharpness-Aware Training for Free
JIAWEI DU, Daquan Zhou, Jiashi Feng et al.
Random Sharpness-Aware Minimization
Yong Liu, Siqi Mai, Minhao Cheng et al.
House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography
Xudong Pan, Shengyao Zhang, Mi Zhang et al.
Class-Aware Adversarial Transformers for Medical Image Segmentation
Chenyu You, Ruihan Zhao, Fenglin Liu et al.
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds
Haiyang Wang, Lihe Ding, Shaocong Dong et al.
Efficient Graph Similarity Computation with Alignment Regularization
Wei Zhuo, Guang Tan
Module-Aware Optimization for Auxiliary Learning
Hong Chen, Xin Wang, Yue Liu et al.
Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under Similarity
Dmitry Kovalev, Aleksandr Beznosikov, Ekaterina Borodich et al.
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
Fuying Wang, Yuyin Zhou, Shujun WANG et al.
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids
Katja Schwarz, Axel Sauer, Michael Niemeyer et al.
Invariance-Aware Randomized Smoothing Certificates
Jan Schuchardt, Stephan Günnemann
Object-Category Aware Reinforcement Learning
Qi Yi, Rui Zhang, shaohui peng et al.
Latency-aware Spatial-wise Dynamic Networks
Yizeng Han, Zhihang Yuan, Yifan Pu et al.
Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation
Peihao Chen, Dongyu Ji, Kunyang Lin et al.
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks
Hongjoon Ahn, Yongyi Yang, Quan Gan et al.