Papers
11,015 papers found
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
Mohammad Amin Shabani, Amir H. Abdi, Lili Meng et al.
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel
SungYub Kim, Sihwan Park, Kyung-Su Kim et al.
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency
Junfeng Guo, Yiming Li, Xun Chen et al.
Scaling Forward Gradient With Local Losses
Mengye Ren, Simon Kornblith, Renjie Liao et al.
Scaling Laws for a Multi-Agent Reinforcement Learning Model
Oren Neumann, Claudius Gros
Scaling Laws For Deep Learning Based Image Reconstruction
Tobit Klug, Reinhard Heckel
Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL
Baiting Zhu, Meihua Dang, Aditya Grover
Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation
Linfeng Zhao, Huazhe Xu, Lawson L.S. Wong
Scaling Up Probabilistic Circuits by Latent Variable Distillation
Anji Liu, Honghua Zhang, Guy Van den Broeck
Scenario-based Question Answering with Interacting Contextual Properties
Haitian Sun, William W. Cohen, Ruslan Salakhutdinov
Schema Inference for Interpretable Image Classification
Haofei Zhang, Mengqi Xue, Xiaokang Liu et al.
SCoMoE: Efficient Mixtures of Experts with Structured Communication
zhiyuan zeng, Deyi Xiong
Score-based Continuous-time Discrete Diffusion Models
Haoran Sun, Lijun Yu, Bo Dai et al.
SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation
Qiang Wan, Zilong Huang, Jiachen Lu et al.
Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective
Kun Wang, Yuxuan Liang, Pengkun Wang et al.
Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning
Xin-Qiang Cai, Yao-Xiang Ding, Zixuan Chen et al.
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Antonia Creswell, Murray Shanahan, Irina Higgins
Selective Annotation Makes Language Models Better Few-Shot Learners
Hongjin SU, Jungo Kasai, Chen Henry Wu et al.
Selective Frequency Network for Image Restoration
Yuning Cui, Yi Tao, Zhenshan Bing et al.
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang, Jason Wei, Dale Schuurmans et al.
Self-Distillation for Further Pre-training of Transformers
Seanie Lee, Minki Kang, Juho Lee et al.
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
Sizhe Chen, Geng Yuan, Xinwen Cheng et al.
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning
Jiahui Gao, Renjie Pi, LIN Yong et al.
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability
Alex Damian, Eshaan Nichani, Jason D. Lee
Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance
Xueyi Liu, Ji Zhang, Ruizhen Hu et al.