Papers
11,015 papers found
Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation
Shahar Lutati, Eliya Nachmani, Lior Wolf
Separating common from salient patterns with Contrastive Representation Learning
Robin Louiset, Edouard Duchesnay, Antoine Grigis et al.
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction
Zhiqian Lan, Yuxuan Jiang, Yao Mu et al.
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
Chris Cundy, Stefano Ermon
Set Learning for Accurate and Calibrated Models
Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang et al.
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
Uiwon Hwang, Jonghyun Lee, Juhyeon Shin et al.
Shadow Cones: A Generalized Framework for Partial Order Embeddings
Tao Yu, Toni J.B. Liu, Albert Tseng et al.
Sharpness-Aware Data Poisoning Attack
Pengfei He, Han Xu, Jie Ren et al.
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
Jacob Mitchell Springer, Vaishnavh Nagarajan, Aditi Raghunathan
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng et al.
Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation
Ryan Wong, Necati Cihan Camgoz, Richard Bowden
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
Sewon Min, Suchin Gururangan, Eric Wallace et al.
Simple Hierarchical Planning with Diffusion
Chang Chen, Fei Deng, Kenji Kawaguchi et al.
Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity
Tomoya Murata, Kenta Niwa, Takumi Fukami et al.
Simplicial Representation Learning with Neural $k$-Forms
Kelly Maggs, Celia Hacker, Bastian Rieck
Simplifying Transformer Blocks
Bobby He, Thomas Hofmann
Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape
Rundi Wu, Ruoshi Liu, Carl Vondrick et al.
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
Xuan Zhang, Jacob Helwig, Yuchao Lin et al.
Single Motion Diffusion
Sigal Raab, Inbal Leibovitch, Guy Tevet et al.
Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
Xuefei Ning, Zinan Lin, Zixuan Zhou et al.
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
Geraud Nangue Tasse, Devon Jarvis, Steven James et al.
SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models
Dingli Yu, Simran Kaur, Arushi Gupta et al.
Skill or Luck? Return Decomposition via Advantage Functions
Hsiao-Ru Pan, Bernhard Schölkopf