All Papers
34,598 papers found • Page 656 of 692
Conference
Statistical Rejection Sampling Improves Preference Optimization
Tianqi Liu, Yao Zhao, Rishabh Joshi et al.
Statistical Spatially Inhomogeneous Diffusion Inference
Yinuo Ren, Yiping Lu, Lexing Ying et al.
Statistical Test for Attention Maps in Vision Transformers
Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka et al.
Stay on Topic with Classifier-Free Guidance
Guillaume Sanchez, Alexander Spangher, Honglu Fan et al.
STDiff: Spatio-Temporal Diffusion for Continuous Stochastic Video Prediction
Xi Ye, Guillaume-Alexandre Bilodeau
Stealing part of a production language model
Nicholas Carlini, Daniel Paleka, Krishnamurthy Dvijotham et al.
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
Zhiwei Wang, Hongning Wang, Huazheng Wang
Stealthy Imitation: Reward-guided Environment-free Policy Stealing
Zhixiong Zhuang, Irina Nicolae, Mario Fritz
STEER: Assessing the Economic Rationality of Large Language Models
Narun Raman, Taylor Lundy, Samuel Joseph Amouyal et al.
Steerers: A Framework for Rotation Equivariant Keypoint Descriptors
Georg Bökman, Johan Edstedt, Michael Felsberg et al.
Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining
Qi Cui, Ruohan Meng, Chaohui Xu et al.
StegaStyleGAN: Towards Generic and Practical Generative Image Steganography
Wenkang Su, Jiangqun Ni, Yiyan Sun
StegFormer: Rebuilding the Glory of Autoencoder-Based Steganography
Xiao Ke, Huanqi Wu, Wenzhong Guo
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation
Sidi Wu, Yizi Chen, Loic Landrieu et al.
STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment
Jaewoo Lee, Jaehong Yoon, Wonjae Kim et al.
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation
Liangcai Su, Junwei Pan, Ximei Wang et al.
Step Differences in Instructional Video
Tushar Nagarajan, Lorenzo Torresani
Stepping Stones: A Progressive Training Strategy for Audio-Visual Semantic Segmentation
Juncheng Ma, Peiwen Sun, Yaoting Wang et al.
Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models
Hongwei Yu, Jiansheng Chen, Xinlong Ding et al.
Stepwise Multi-grained Boundary Detector for Point-supervised Temporal Action Localization
Mengnan Liu, Le Wang, Sanping Zhou et al.
StereoGlue: Joint Feature Matching and Robust Estimation
Daniel Barath, Dmytro Mishkin, Luca Cavalli et al.
Stereographic Spherical Sliced Wasserstein Distances
Huy Tran, Yikun Bai, Abihith Kothapalli et al.
Stereo Risk: A Continuous Modeling Approach to Stereo Matching
Ce Liu, Suryansh Kumar, Shuhang Gu et al.
Stereo Vision Conversion from Planar Videos Based on Temporal Multiplane Images
Shanding Diao, Yuan Chen, Yang Zhao et al.
Sterling: Synergistic Representation Learning on Bipartite Graphs
Baoyu Jing, Yuchen Yan, Kaize Ding et al.
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds
Sipeng Zheng, jiazheng liu, Yicheng Feng et al.
Stitched ViTs are Flexible Vision Backbones
Zizheng Pan, Jing Liu, Haoyu He et al.
Stitching Segments and Sentences towards Generalization in Video-Text Pre-training
Fan Ma, Xiaojie Jin, Heng Wang et al.
Stitching Sub-trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL
Sungyoon Kim, Yunseon Choi, Daiki Matsunaga et al.
ST-LDM: A Universal Framework for Text-Grounded Object Generation in Real Images
Xiangtian Xue, Jiasong Wu, Youyong Kong et al.
ST-LLM: Large Language Models Are Effective Temporal Learners
Ruyang Liu, Chen Li, Haoran Tang et al.
Stochastic Bandits with ReLU Neural Networks
Kan Xu, Hamsa Bastani, Surbhi Goel et al.
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation
Xiaobin Huang, Lei Song, Ke Xue et al.
Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis
Juyeon Ko, Inho Kong, Dogyun Park et al.
Stochastic Controlled Averaging for Federated Learning with Communication Compression
Xinmeng Huang, Ping Li, Xiaoyun Li
Stochastic Gradient Descent for Gaussian Processes Done Right
Jihao Andreas Lin, Shreyas Padhy, Javier Antorán et al.
Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features
Rodrigo Veiga, Anastasia Remizova, Nicolas Macris
Stochastic Interpolants with Data-Dependent Couplings
Michael Albergo, Mark Goldstein, Nicholas Boffi et al.
Stochastic Localization via Iterative Posterior Sampling
Louis Grenioux, Maxence Noble, Marylou Gabrié et al.
Stochastic Modified Equations and Dynamics of Dropout Algorithm
Zhongwang Zhang, Yuqing Li, Tao Luo et al.
Stochastic Optimization with Arbitrary Recurrent Data Sampling
William Powell, Hanbaek Lyu
Stochastic positional embeddings improve masked image modeling
Amir Bar, Florian Bordes, Assaf Shocher et al.
Stochastic Q-learning for Large Discrete Action Spaces
Fares Fourati, Vaneet Aggarwal, Mohamed-Slim Alouini
Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions
Guneykan Ozgul, Xiantao Li, Mehrdad Mahdavi et al.
Stochastic Weakly Convex Optimization beyond Lipschitz Continuity
Wenzhi Gao, Qi Deng
StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting
Jinyong Fan, Yanyan Shen
Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles
Matthew Budd, Bruno Lacerda, Nick Hawes
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
Jesse Farebrother, Jordi Orbay, Quan Vuong et al.
StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion
Ming Tao, BINGKUN BAO, Hao Tang et al.
Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
Jiarui Lu, Bozitao Zhong, Zuobai Zhang et al.