All Papers

SIGNeRF: Scene Integrated Generation for Neural Radiance Fields

Jan-Niklas Dihlmann, Andreas Engelhardt, Hendrik Lensch

SignGen: End-to-End Sign Language Video Generation with Latent Diffusion

Fan Qi, Yu Duan, Changsheng Xu et al.

Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network

Hyunseok Oh, Youngki Lee

SignGraph: A Sign Sequence is Worth Graphs of Nodes

Shiwei Gan, Yafeng Yin, Zhiwei Jiang et al.

Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs

Langzhang Liang, Sunwoo Kim, Kijung Shin et al.

Sign Rank Limitations for Inner Product Graph Decoders

Su Hyeong Lee, QINGQI ZHANG, Risi Kondor

SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding

Chanho Park, Namyoon Lee

SIG: Speaker Identification in Literature via Prompt-Based Generation

Zhenlin Su, Liyan Xu, Jin Xu et al.

SILC: Improving Vision Language Pretraining with Self-Distillation

Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai et al.

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore

Sewon Min, Suchin Gururangan, Eric Wallace et al.

SILVER: Single-loop variance reduction and application to federated learning

Kazusato Oko, Shunta Akiyama, Denny Wu et al.

SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models

Feifei Wang, Zhentao Tan, Tianyi Wei et al.

SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation

Yinqiao Wang, Hao Xu, Pheng-Ann Heng et al.

SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks

Abhishek Singh, Vivek Sharma, Rohan Sukumaran et al.

SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes

Boshi Tang, Zhiyong Wu, Xixin Wu et al.

SimCS: Simulation for Domain Incremental Online Continual Segmentation

Motasem Alfarra, Zhipeng Cai, Adel Bibi et al.

SimDA: Simple Diffusion Adapter for Efficient Video Generation

Zhen Xing, Qi Dai, Han Hu et al.

SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection

Haimei Zhao, Qiming Zhang, Shanshan Zhao et al.

Similarity of Neural Architectures using Adversarial Attack Transferability

Jaehui Hwang, Dongyoon Han, Byeongho Heo et al.

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology

Saarthak Kapse, Pushpak Pati, Srijan Das et al.

SimPB: A Single Model for 2D and 3D Object Detection from Multiple Cameras

Yingqi Tang, Zhaotie Meng, Guoliang Chen et al.

Simple Hierarchical Planning with Diffusion

Chang Chen, Fei Deng, Kenji Kawaguchi et al.

Simple Image-Level Classification Improves Open-Vocabulary Object Detection

Ruohuan Fang, Guansong Pang, Xiao Bai

Simple Ingredients for Offline Reinforcement Learning

Edoardo Cetin, Andrea Tirinzoni, Matteo Pirotta et al.

Simple linear attention language models balance the recall-throughput tradeoff

Simran Arora, Sabri Eyuboglu, Michael Zhang et al.

Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity

Tomoya Murata, Kenta Niwa, Takumi Fukami et al.

Simple Semantic-Aided Few-Shot Learning

Hai Zhang, Junzhe Xu, Shanlin Jiang et al.

Simple Unsupervised Knowledge Distillation With Space Similarity

Aditya Singh, Haohan Wang

Simple Weak Coresets for Non-decomposable Classification Measures

Jayesh Malaviya, Anirban Dasgupta, Rachit Chhaya

Simplicial Representation Learning with Neural $k$-Forms

Kelly Maggs, Celia Hacker, Bastian Rieck

Simplicity Bias in Overparameterized Machine Learning

Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data

Nikita Tsoy, Nikola Konstantinov

Simplicity Bias via Global Convergence of Sharpness Minimization

Khashayar Gatmiry, Zhiyuan Li, Sashank J. Reddi et al.

Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice

Idan Lev-Yehudi, Moran Barenboim, Vadim Indelman

Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights

Yan Hao, Florent Forest, Olga Fink

Simplifying Transformer Blocks

Bobby He, Thomas Hofmann

SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning

Chaoqun Du, Yizeng Han, Gao Huang

SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation

Hyun Ryu, Sunjae Yoon, Hee Suk Yoon et al.

Simulation-Based Inference with Quantile Regression

He Jia

Simulation of Graph Algorithms with Looped Transformers

Artur Back de Luca, Kimon Fountoulakis

Simultaneous identification of models and parameters of scientific simulators

Cornelius Schröder, Jakob Macke

Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms

Yadong Xu, Bonan Ni, Weiran Shen et al.

Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape

Rundi Wu, Ruoshi Liu, Carl Vondrick et al.

SINDER: Repairing the Singular Defects of DINOv2

Haoqi Wang, Tong Zhang, Mathieu Salzmann

SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations

Xuan Zhang, Jacob Helwig, Yuchao Lin et al.

Single Domain Generalization for Crowd Counting

Zhuoxuan Peng, S.-H. Gary Chan

Single-Mask Inpainting for Voxel-based Neural Radiance Fields

Jiafu Chen, Tianyi Chu, Jiakai Sun et al.

Single Mesh Diffusion Models with Field Latents for Texture Generation

Thomas W. Mitchel, Carlos Esteves, Ameesh Makadia

Single-Model and Any-Modality for Video Object Tracking

Zongwei Wu, Jilai Zheng, Xiangxuan Ren et al.

Single-Model Attribution of Generative Models Through Final-Layer Inversion

Mike Laszkiewicz, Jonas Ricker, Johannes Lederer et al.