Papers
Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning
Xiaoqian Wu, Yong-Lu Li, Jianhua Sun et al.
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials
Shengchao Liu, weitao Du, Yanjing Li et al.
SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions
Yuseung Lee, Kunho Kim, Hyunjin Kim et al.
SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network
Yuting Hu, Jiajie Li, Florian Klemme et al.
SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis
Yuanshao Zhu, Yongchao Ye, Ying Wu et al.
Synthcity: a benchmark framework for diverse use cases of tabular synthetic data
Zhaozhi Qian, Rob Davis, Mihaela van der Schaar
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions
Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
Synthetic Experience Replay
Cong Lu, Philip Ball, Yee Whye Teh et al.
Synthetic-to-Real Pose Estimation with Geometric Reconstruction
Qiuxia Lin, Kerui Gu, Linlin Yang et al.
Systematic Visual Reasoning through Object-Centric Relational Abstraction
Taylor Webb, Shanka Subhra Mondal, Jonathan D Cohen
T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation
Kaiyi Huang, Kaiyue Sun, Enze Xie et al.
T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
Yang Li, Jinpei Guo, Runzhong Wang et al.
TabMT: Generating tabular data with masked transformers
Manbir Gulati, Paul Roysdon
Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds
Jiayi Huang, Han Zhong, Liwei Wang et al.
Tailoring Self-Attention for Graph via Rooted Subtrees
Siyuan Huang, Yunchong Song, Jiayue Zhou et al.
Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system
Suhas Shrinivasan, Konstantin-Klemens Lurz, Kelli Restivo et al.
Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
Shengjie Zhu, Abhinav Kumar, Masa Hu et al.
Taming Local Effects in Graph-based Spatiotemporal Forecasting
Andrea Cini, Ivan Marisca, Daniele Zambon et al.
Tanh Works Better with Asymmetry
Dongjin Kim, Woojeong Kim, Suhyun Kim
Tanimoto Random Features for Scalable Molecular Machine Learning
Austin Tripp, Sergio Bacallado, Sukriti Singh et al.
TART: A plug-and-play Transformer module for task-agnostic reasoning
Kush Bhatia, Avanika Narayan, Christopher M De Sa et al.
Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design
AkshatKumar Nigam, Robert Pollice, Gary Tom et al.
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
Guillermo Ortiz-Jimenez, Alessandro Favero, Pascal Frossard
Task-aware Distributed Source Coding under Dynamic Bandwidth
Po-han Li, Sravan Kumar Ankireddy, Ruihan (Philip) Zhao et al.
Task-aware world model learning with meta weighting via bi-level optimization
Huining Yuan, Hongkun Dou, Xingyu Jiang et al.