All Papers
34,598 papers found • Page 650 of 692
Conference
Sliced Wasserstein Estimation with Control Variates
Khai Nguyen, Nhat Ho
Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates
Rémi Leluc, Aymeric Dieuleveut, François Portier et al.
Sliced Wasserstein with Random-Path Projecting Directions
Khai Nguyen, Shujian Zhang, Tam Le et al.
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Saleh Ashkboos, Maximilian Croci, Marcelo Gennari do Nascimento et al.
SLICE: Stabilized LIME for Consistent Explanations for Image Classification
Revoti Prasad Bora, Kiran Raja, Philipp Terhörst et al.
Slicing Mutual Information Generalization Bounds for Neural Networks
Kimia Nadjahi, Kristjan Greenewald, Rickard Gabrielsson et al.
Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks
Lorenzo Bardone, Sebastian Goldt
SLiMe: Segment Like Me
Aliasghar Khani, Saeid Asgari, Aditya Sanghi et al.
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow
Yuanzhi Zhu, Xingchao Liu, Qiang Liu
SLIM: Spuriousness Mitigation with Minimal Human Annotations
Xiwei Xuan, Ziquan Deng, Hsuan-Tien Lin et al.
SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter
Haobo Xu, Yuchen Yan, Dingsu Wang et al.
Slot Abstractors: Toward Scalable Abstract Visual Reasoning
Shanka Subhra Mondal, Jonathan Cohen, Taylor Webb
SlotLifter: Slot-guided Feature Lifting for Learning Object-Centric Radiance Fields
Yu Liu, Baoxiong Jia, Yixin Chen et al.
Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks
Hojoon Lee, Hyeonseo Cho, Hyunseung Kim et al.
SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers
Navaneet K L, Soroush Abbasi Koohpayegani, Essam Sleiman et al.
SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples
Chen Ma, Ningfei Wang, Qi Alfred Chen et al.
Small-loss Adaptive Regret for Online Convex Optimization
Wenhao Yang, Wei Jiang, Yibo Wang et al.
Small Model Can Self-Correct
Haixia Han, Jiaqing Liang, Jie Shi et al.
Small Scale Data-Free Knowledge Distillation
He Liu, Yikai Wang, Huaping Liu et al.
Small-scale proxies for large-scale Transformer training instabilities
Mitchell Wortsman, Peter Liu, Lechao Xiao et al.
Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance
Chamin Hewa Koneputugodage, Yizhak Ben-Shabat, Dylan Campbell et al.
SmartControl: Enhancing ControlNet for Handling Rough Visual Conditions
XIAOYU LIU, Yuxiang WEI, Ming LIU et al.
SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models
Yuzhou Huang, Liangbin Xie, Xintao Wang et al.
Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households
Zhihao Cao, ZiDong Wang, Siwen Xie et al.
SMaRt: Improving GANs with Score Matching Regularity
Mengfei Xia, Yujun Shen, Ceyuan Yang et al.
SmartMask: Context Aware High-Fidelity Mask Generation for Fine-grained Object Insertion and Layout Control
Jaskirat Singh, Jianming Zhang, Qing Liu et al.
SmartPlay : A Benchmark for LLMs as Intelligent Agents
Yue Wu, Xuan Tang, Tom Mitchell et al.
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction
Yang Zhou, Hao Shao, Letian Wang et al.
SMFANet: A Lightweight Self-Modulation Feature Aggregation Network for Efficient Image Super-Resolution
mingjun zheng, Long Sun, Jiangxin Dong et al.
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection
Anay Majee, Ryan X Sharp, Rishabh Iyer
SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking
Wang Yu Hsiang, Jun-Wei Hsieh, Ping-Yang Chen et al.
SMooDi: Stylized Motion Diffusion Model
Lei Zhong, Yiming Xie, Varun Jampani et al.
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models
Jiayi Guo, Xingqian Xu, Yifan Pu et al.
Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing
Jaroslaw Blasiok, Preetum Nakkiran
Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence
Ganzhao Yuan
Smooth Min-Max Monotonic Networks
Christian Igel
Smoothness Adaptive Hypothesis Transfer Learning
Haotian Lin, Matthew Reimherr
Smoothness, Synthesis, and Sampling: Re-thinking Unsupervised Multi-View Stereo with DIV Loss
Alex Rich, Noah Stier, Pradeep Sen et al.
Smooth Tchebycheff Scalarization for Multi-Objective Optimization
Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang et al.
SnAG: Scalable and Accurate Video Grounding
Fangzhou Mu, Sicheng Mo, Yin Li
Snapshot Lidar: Fourier Embedding of Amplitude and Phase for Single-Image Depth Reconstruction
Sarah Friday, Yunzi Shi, Yaswanth Kumar Cherivirala et al.
Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis
Willi Menapace, Aliaksandr Siarohin, Ivan Skorokhodov et al.
SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model
Zhengang Li, Yan Kang, Yuchen Liu et al.
SNeRV: Spectra-preserving Neural Representation for Video
Jina Kim, Jihoo Lee, Jewon Kang
SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation
Yanjie Wang, Xu Zou, Luxin Yan et al.
SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
Peng Qi, Zehong Yan, Wynne Hsu et al.
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
Kazem Meidani, Parshin Shojaee, Chandan Reddy et al.
SNI-SLAM: Semantic Neural Implicit SLAM
Siting Zhu, Guangming Wang, Hermann Blum et al.
SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks
Jae Choi, Yuzhou Chen, Huikyo Lee et al.
SNP: Structured Neuron-level Pruning to Preserve Attention Scores
Kyunghwan Shim, Jaewoong Yun, Shinkook Choi