Papers

734 papers found
2023 ACML
Graph Structure Learning via Lottery Hypothesis at Scale
Wang Yuxin, Hu Xiannian, Xie Jiaqing et al.
2023 ACML
GWQ: Group-Wise Quantization Framework for Neural Networks
Jiaming Yang, Chenwei Tang, Caiyang Yu et al.
2023 ACML
Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices
Mohamed Imed Eddine Ghebriout, Halima Bouzidi, Smail Niar et al.
2023 ACML
How GAN Generators can Invert Networks in Real-Time
Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer et al.
2023 ACML
2023 ACML
Intractability of Learning the Discrete Logarithm with Gradient-Based Methods
Rustem Takhanov, Maxat Tezekbayev, Artur Pak et al.
2023 ACML
K-Truss Based Temporal Graph Convolutional Network for Dynamic Graphs
Hongxi Li, Zuxuan Zhang, Dengzhe Liang et al.
2023 ACML
Learning to Terminate in Object Navigation
Yuhang Song, Anh Nguyen, Chun-Yi Lee
2023 ACML
Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits
Hassan Saber, Fabien Pesquerel, Odalric-Ambrym Maillard et al.
2023 ACML
2023 ACML
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation
Gopi Krishna Jha, Anthony Thomas, Nilesh Jain et al.
2023 ACML
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations
Raha Ahmadi, Mohammad Javad Rajabi, Mohammad Khalooie et al.
2023 ACML
Outlier Robust Adversarial Training
Shu Hu, Zhenhuan Yang, Xin Wang et al.
2023 ACML