Papers
11,015 papers found
You Only Query Once: An Efficient Label-Only Membership Inference Attack
YUTONG WU, Han Qiu, Shangwei Guo et al.
Zero and Few-shot Semantic Parsing with Ambiguous Inputs
Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme
Zero Bubble (Almost) Pipeline Parallelism
Penghui Qi, Xinyi Wan, Guangxing Huang et al.
ZeRO++: Extremely Efficient Collective Communication for Large Model Training
Guanhua Wang, Heyang Qin, Sam Ade Jacobs et al.
ZeroFlow: Scalable Scene Flow via Distillation
Kyle Vedder, Neehar Peri, Nathaniel Eliot Chodosh et al.
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs
Xiong Zhou, Xianming Liu, Feilong Zhang et al.
Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models
Zijun Wu, Yongkang Wu, Lili Mou
Zero-Shot Robotic Manipulation with Pre-Trained Image-Editing Diffusion Models
Kevin Black, Mitsuhiko Nakamoto, Pranav Atreya et al.
Zero-Shot Robustification of Zero-Shot Models
Dyah Adila, Changho Shin, Linrong Cai et al.
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
Zhiwei Tang, Dmitry Rybin, Tsung-Hui Chang
Zipformer: A faster and better encoder for automatic speech recognition
Zengwei Yao, Liyong Guo, Xiaoyu Yang et al.
ZipIt! Merging Models from Different Tasks without Training
George Stoica, Daniel Bolya, Jakob Brandt Bjorner et al.
Zoology: Measuring and Improving Recall in Efficient Language Models
Simran Arora, Sabri Eyuboglu, Aman Timalsina et al.
$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference
Benfeng Xu, Quan Wang, Zhendong Mao et al.
$\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
Sajad Movahedi, Melika Adabinejad, Ayyoob Imani et al.
$\mathcal{O}$-GNN: incorporating ring priors into molecular modeling
Jinhua Zhu, Kehan Wu, Bohan Wang et al.
$\mathrm{SE}(3)$-Equivariant Attention Networks for Shape Reconstruction in Function Space
Evangelos Chatzipantazis, Stefanos Pertigkiozoglou, Edgar Dobriban et al.
$\mathscr{N}$-WL: A New Hierarchy of Expressivity for Graph Neural Networks
Qing Wang, Dillon Ze Chen, Asiri Wijesinghe et al.
$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks
Zeyu Zhu, Fanrong Li, Zitao Mo et al.
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
Jiaqi Guan, Wesley Wei Qian, Xingang Peng et al.
3D generation on ImageNet
Ivan Skorokhodov, Aliaksandr Siarohin, Yinghao Xu et al.
3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation
ZHENNAN WU, YANG LI, Yifei Huang et al.
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
Ho Hin Lee, Shunxing Bao, Yuankai Huo et al.
AANG : Automating Auxiliary Learning
Lucio M. Dery, Paul Michel, Mikhail Khodak et al.