Most Cited 2025 Poster Papers
22,274 papers found • Page 100 of 112
Conference
ESCORT: Efficient Stein-variational and Sliced Consistency-Optimized Temporal Belief Representation for POMDPs
Yunuo Zhang, Baiting Luo, Ayan Mukhopadhyay et al.
Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformers
Haoran You, Connelly Barnes, Yuqian Zhou et al.
MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver
yuepeng zheng, Fu Luo, Zhenkun Wang et al.
PolyJuice Makes It Real: Black-Box, Universal Red Teaming for Synthetic Image Detectors
Sepehr Dehdashtian, Mashrur Mahmud Morshed, Jacob Seidman et al.
FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing
Binrui Shen, LiangYuan, Shengxin Zhu
ARGenSeg: Image Segmentation with Autoregressive Image Generation Model
Xiaolong Wang, Lixiang Ru, Ziyuan Huang et al.
Language Ranker: A Lightweight Ranking framework for LLM Decoding
Chenheng Zhang, Tianqi Du, Jizhe Zhang et al.
On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls
Emmeran Johnson, David Martinez-Rubio, Ciara Pike-Burke et al.
R-KV: Redundancy-aware KV Cache Compression for Reasoning Models
Zefan Cai, Wen Xiao, Hanshi Sun et al.
Heavy-Ball Momentum Method in Continuous Time and Discretization Error Analysis
Bochen Lyu, Xiaojing Zhang, Fangyi Zheng et al.
Neural Correlates of Serial Dependence: Synaptic Short-term Plasticity Orchestrates Repulsion and Attraction
Xiuning Zhang, Xincheng Lu, Nihong Chen et al.
Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization
Weiming Liu, Xinting Liao, Jun Dan et al.
Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts
James Chapman, Kedar Karhadkar, Guido Montufar
Greed is Good: A Unifying Perspective on Guided Generation
Zander W. Blasingame, Chen Liu
Spotlight Attention: Towards Efficient LLM Generation via Non-linear Hashing-based KV Cache Retrieval
Wenhao Li, Yuxin Zhang, Gen Luo et al.
FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning
Da Wang, Yi Ma, Ting Guo et al.
SGSST: Scaling Gaussian Splatting Style Transfer
Bruno Galerne, Jianling WANG, Lara Raad et al.
Unified Medical Lesion Segmentation via Self-referring Indicator
Shijie Chang, Xiaoqi Zhao, Lihe Zhang et al.
INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers
Hao Wei, Aleksandra Franz, Björn List et al.
The Primacy of Magnitude in Low-Rank Adaptation
Zicheng Zhang, Haoran Li, Yifeng Zhang et al.
Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning
Junkai Zhang, Jinmin He, Yifan Zhang et al.
Generative Modeling of Class Probability for Multi-Modal Representation Learning
JungKyoo Shin, Bumsoo Kim, Eunwoo Kim
Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates
Seunghyeok Shin, Dabin Kim, Hongki Lim
GRAE-3DMOT: Geometry Relation-Aware Encoder for Online 3D Multi-Object Tracking
Hyunseop Kim, Hyo-Jun Lee, Yonguk Lee et al.
ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient Reasoning
Jingyang Yi, Jiazheng Wang, Sida Li
Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables
Yu Gui, Cong Ma, Zongming Ma
In-Context Compositional Learning vis Sparse Coding Transformer
Wei Chen, Jingxi Yu, Zichen Miao et al.
Individual Fairness In Strategic Classification
Zhiqun Zuo, Mohammad Mahdi Khalili
Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging
Bo Wang, Dingwei Tan, Yen-Ling Kuo et al.
FraPPE: Fast and Efficient Preference-Based Pure Exploration
Udvas Das, Apurv Shukla, Debabrota Basu
SpecEM: Training-Free LLM Ensembling via Iterative Drafting, Verification, and Online Feedback
Bo Lv, Nayu Liu, Chen Tang et al.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects
Jaeguk Kim, Jaewoo Park, Keuntek Lee et al.
OmniSVG: A Unified Scalable Vector Graphics Generation Model
Yiying Yang, Wei Cheng, Sijin Chen et al.
Buffer layers for Test-Time Adaptation
Hyeongyu Kim, GeonHui Han, Dosik Hwang
Taming Adversarial Constraints in CMDPs
Francesco Emanuele Stradi, Anna Lunghi, Matteo Castiglioni et al.
Non-stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation
Chaohao Yuan, Maoji Wen, Ercan KURUOGLU et al.
Value Improved Actor Critic Algorithms
Yaniv Oren, Moritz Zanger, Pascal van der Vaart et al.
Quantitative convergence of trained neural networks to Gaussian processes
Andrea Agazzi, Eloy Mosig García, Dario Trevisan
AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea
Qifan Yu, Wei Chow, Zhongqi Yue et al.
Navigating the Unseen: Zero-shot Scene Graph Generation via Capsule-Based Equivariant Features
Wenhuan Huang, Yi JI, guiqian zhu et al.
Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs
Zhiyi Lyu, Jianguo Huang, Yanchen Deng et al.
Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
Yuhong Luo, Austin Hoag, Xintong Wang et al.
Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration
Wenjie Li, Xiangyi Wang, Heng Guo et al.
MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling
Jiaming Ma, Binwu Wang, Qihe Huang et al.
Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding
Pedro Hermosilla, Christian Stippel, Leon Sick
Non-Natural Image Understanding with Advancing Frequency-based Vision Encoders
Wang Lin, Qingsong Wang, Yueying Feng et al.
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
Muquan Yu, Mu Nan, Hossein Adeli et al.
On the Complexity of Finding Stationary Points in Nonconvex Simple Bilevel Optimization
Jincheng Cao, Ruichen Jiang, Erfan Yazdandoost Hamedani et al.
Scalable inference of functional neural connectivity at submillisecond timescales
Arina Medvedeva, Edoardo Balzani, Alex Williams et al.
C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models
Amir Hossein Rahmati, Sanket Jantre, Weifeng Zhang et al.
Point4Bit: Post Training 4-bit Quantization for Point Cloud 3D Detection
Jianyu Wang, Yu Wang, Shengjie Zhao et al.
Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning
RUIYAO MIAO, Junren Xiao, Shiya Tsang et al.
MeshArt: Generating Articulated Meshes with Structure-Guided Transformers
Daoyi Gao, Mohd Yawar Nihal Siddiqui, Lei Li et al.
Hunyuan-Portrait: Implicit Condition Control for Enhanced Portrait Animation
Zunnan Xu, Zhentao Yu, Zixiang Zhou et al.
Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage
Ziqi Yuan, Haoyang Zhang, Yirui Zhou et al.
Gains: Fine-grained Federated Domain Adaptation in Open Set
Zhengyi Zhong, Wenzheng Jiang, Weidong Bao et al.
Gymnasium: A Standard Interface for Reinforcement Learning Environments
Mark Towers, Ariel Kwiatkowski, John Balis et al.
Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions
Marc Brooks, Gabriel Durham, Kihyuk Hong et al.
K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling
Yongrui Chen, Yi Huang, Yunchang Liu et al.
Deep Gaussian from Motion: Exploring 3D Geometric Foundation Models for Gaussian Splatting
Yu Chen, Rolandos Alexandros Potamias, Evangelos Ververas et al.
Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions
Tobias Schmidt, Steffen Schneider, Matthias Bethge
miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward
Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh
Corrector Sampling in Language Models
Itai Gat, Neta Shaul, Uriel Singer et al.
NeISF++: Neural Incident Stokes Field for Polarized Inverse Rendering of Conductors and Dielectrics
Chenhao Li, Taishi Ono, Takeshi Uemori et al.
DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers
Mert Bülent Sarıyıldız, Philippe Weinzaepfel, Thomas Lucas et al.
Learning Crossmodal Interaction Patterns via Attributed Bipartite Graphs for Single-Cell Omics
Xiaotang Wang, Xuanwei Lin, Yun Zhu et al.
Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
Wei Yang, Rui Zhong, Yiqun Chen et al.
ASDSV: Multimodal Generation Made Efficient with Approximate Speculative Diffusion and Speculative Verification
Kaijun Zhou, Xingyu Yan, Xingda Wei et al.
Soft Task-Aware Routing of Experts for Equivariant Representation Learning
Jaebyeong Jeon, Hyunseo Jang, Jy-yong Sohn et al.
FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA
Songqi Zhou, Zeyuan Liu, Benben Jiang
Analyzing the Power of Chain of Thought through Memorization Capabilities
Lijia Yu, Xiao-Shan Gao, Lijun Zhang
Ultrametric Cluster Hierarchies: I Want ‘em All!
Andrew Draganov, Pascal Weber, Rasmus Jørgensen et al.
NeuSymEA: Neuro-symbolic Entity Alignment via Variational Inference
Shengyuan Chen, Zheng Yuan, Qinggang Zhang et al.
Interactive Anomaly Detection for Articulated Objects via Motion Anticipation
Ankan Bhunia, Changjian Li, Hakan Bilen
EuroSpeech: A Multilingual Speech Corpus
Samuel Pfisterer, Florian Grötschla, Luca Lanzendörfer et al.
Neural Green’s Functions
Seungwoo Yoo, Kyeongmin Yeo, Jisung Hwang et al.
Universal Few-shot Spatial Control for Diffusion Models
Kiet Nguyen, Chanhyuk Lee, Donggyun Kim et al.
Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds
Vahan Arsenyan, Elen Vardanyan, Arnak Dalalyan
From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language Models
Weitong Zhang, Chengqi Zang, Bernhard Kainz
Dimension-adapted Momentum Outscales SGD
Damien Ferbach, Katie Everett, Gauthier Gidel et al.
ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data
Yifeng Jiao, Yuchen Liu, Yu Zhang et al.
Collaborative and Confidential Junction Trees for Hybrid Bayesian Networks
Roberto Gheda, Abele Mălan, Thiago Guzella et al.
Geometric Mixture Models for Electrolyte Conductivity Prediction
Anyi Li, Jiacheng Cen, Songyou Li et al.
Preserving Task-Relevant Information Under Linear Concept Removal
Floris Holstege, Shauli Ravfogel, Bram Wouters
Task-Aware Clustering for Prompting Vision-Language Models
Fusheng Hao, Fengxiang He, Fuxiang Wu et al.
A Bayesian Fast-Slow Framework to Mitigate Interference in Non-Stationary Reinforcement Learning
Yihuan Mao, Chongjie Zhang
$\mathcal{X}^2$-DFD: A framework for e$\mathcal{X}$plainable and e$\mathcal{X}$tendable Deepfake Detection
Yize Chen, Zhiyuan Yan, Guangliang Cheng et al.
Learning Stochastic Multiscale Models
Andrew F. Ilersich, Prasanth Nair
Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction
Jiacong Chen, Qingyu Mao, Youneng Bao et al.
The Structural Complexity of Matrix-Vector Multiplication
Emile Anand, Jan van den Brand, Rose McCarty
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales
Shuokai Pan, Gerti Tuzi, Sudarshan Sreeram et al.
EUGens: Efficient, Unified and General Dense Layers
Sang Min Kim, Byeongchan Kim, Arijit Sehanobish et al.
Mitigating Hallucination Through Theory-Consistent Symmetric Multimodal Preference Optimization
Wenqi Liu, Xuemeng Song, Jiaxi Li et al.
Pre-Trained Policy Discriminators are General Reward Models
Shihan Dou, Shichun Liu, Yuming Yang et al.
PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
Pengyun Yue, Xuanlin Yang, Mingqing Xiao et al.
Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction
KunHo Heo, GiHyun Kim, SuYeon Kim et al.
TokenMotion: Decoupled Motion Control via Token Disentanglement for Human-centric Video Generation
Ruineng Li, Daitao Xing, Huiming Sun et al.
Imagine Beyond ! Distributionally Robust Autoencoding for State Space Coverage in Online Reinforcement Learning
Nicolas Castanet, Olivier Sigaud, Sylvain Lamprier
Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning
Hairui Ren, Fan Tang, He Zhao et al.
Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning
Dechen Zhang, Zhenmei Shi, Zhang et al.
BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis
Weiguang Zhao, Rui Zhang, Qiufeng Wang et al.
Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape
Shiyue Wang, Ziao Guo, Changhong Lu et al.
ContextAgent: Context-Aware Proactive LLM Agents with Open-world Sensory Perceptions
Bufang Yang, Lilin Xu, Liekang Zeng et al.
Principled Data Augmentation for Learning to Solve Quadratic Programming Problems
Chendi Qian, Christopher Morris
CausalDynamics: A large‐scale benchmark for structural discovery of dynamical causal models
Benjamin Herdeanu, Juan Nathaniel, Carla Roesch et al.
Interpreting Arithmetic Reasoning in Large Language Models using Game-Theoretic Interactions
蕾蕾 温, Liwei Zheng, Hongda Li et al.
Activating Sparse Part Concepts for 3D Class Incremental Learning
Zhenya Tian, Jun Xiao, Liu lupeng et al.
Boundary-Value PDEs Meet Higher-Order Differential Topology-aware GNNs
Yunfeng Liao, Yangxin Wu, Xiucheng Li
The Flood Complex: Large-Scale Persistent Homology on Millions of Points
Florian Graf, Paolo Pellizzoni, Martin Uray et al.
Model Diagnosis and Correction via Linguistic and Implicit Attribute Editing
Xuanbai Chen, Xiang Xu, Zhihua Li et al.
Deep Learning with Plausible Deniability
Wenxuan Bao, Shan Jin, Hadi Abdullah et al.
Multiresolution Analysis and Statistical Thresholding on Dynamic Networks
Raphael Romero, Tijl De Bie, Nick Heard et al.
Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds
Huitong Chen, Yu Wang, Yan Fan et al.
KAIROS: Scalable Model-Agnostic Data Valuation
Jiongli Zhu, Parjanya Prashant, Alex Cloninger et al.
Enhancing Graph Classification Robustness with Singular Pooling
Sofiane Ennadir, Oleg Smirnov, Yassine ABBAHADDOU et al.
TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding
Shukai Gong, YIYANG FU, Fengyuan Ran et al.
AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems
Yingxuan Yang, Huacan Chai, Shuai Shao et al.
Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks
Jieyuan (Eric) Zhang, Xiaolong Zhou, Shuai Wang et al.
WeGen: A Unified Model for Interactive Multimodal Generation as We Chat
Zhipeng Huang, Shaobin Zhuang, Canmiao Fu et al.
LLM Unlearning via Neural Activation Redirection
William Shen, Xinchi Qiu, Meghdad Kurmanji et al.
PS-EIP: Robust Photometric Stereo Based on Event Interval Profile
Kazuma Kitazawa, Takahito Aoto, Satoshi Ikehata et al.
D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images
shurong yang, Dong Wei, Yihuang Hu et al.
Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
Liwei Huang, Zhengyu Ma, Liutao Yu et al.
Geometry Field Splatting with Gaussian Surfels
Kaiwen Jiang, Venkataram Sivaram, Cheng Peng et al.
On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
Yisong Fu, Fei Wang, Zezhi Shao et al.
Look Before You Leap: A GUI-Critic-R1 Model for Pre-Operative Error Diagnosis in GUI Automation
Yuyang Wanyan, Xi Zhang, Haiyang Xu et al.
VideoSPatS: Video SPatiotemporal Splines for Disentangled Occlusion, Appearance and Motion Modeling and Editing
Juan Luis Gonzalez Bello, Xu Yao, Alex Whelan et al.
Sketched Adaptive Distributed Deep Learning: A Sharp Convergence Analysis
Zhijie Chen, Qiaobo Li, Arindam Banerjee
Efficient Adaptive Experimentation with Noncompliance
Miruna Oprescu, Brian Cho, Nathan Kallus
Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing
Kijung Jeon, Michael Muehlebach, Molei Tao
Diffusion Federated Dataset
SEOKJU HAHN, Junghye Lee
Gaussian Process Upper Confidence Bound Achieves Nearly-Optimal Regret in Noise-Free Gaussian Process Bandits
Shogo Iwazaki
Three-view Focal Length Recovery From Homographies
Yaqing Ding, Viktor Kocur, Zuzana Berger Haladova et al.
Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
Yuyang Deng, Samory Kpotufe
Breaking AR’s Sampling Bottleneck: Provable Acceleration via Diffusion Language Models
Gen Li, Changxiao Cai
Quasi-Self-Concordant Optimization with $\ell_{\infty}$ Lewis Weights
Alina Ene, Ta Duy Nguyen, Adrian Vladu
Plug-and-Play Versatile Compressed Video Enhancement
Huimin Zeng, Jiacheng Li, Zhiwei Xiong
SynthLight: Portrait Relighting with Diffusion Model by Learning to Re-render Synthetic Faces
Sumit Chaturvedi, Mengwei Ren, Yannick Hold-Geoffroy et al.
\(\varepsilon\)-Optimally Solving Two-Player Zero-Sum POSGs
Erwan escudie, Matthia Sabatelli, Olivier Buffet et al.
Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models
Quntian Fang, Zhen Huang, Zhiliang Tian et al.
Visual Representation Learning through Causal Intervention for Controllable Image Editing
Shanshan Huang, Haoxuan Li, Chunyuan Zheng et al.
UniTransfer: Video Concept Transfer via Progressive Spatio-Temporal Decomposition
guojun lei, Rong Zhang, Tianhang Liu et al.
Too Late to Recall: Explaining the Two-Hop Problem in Multimodal Knowledge Retrieval
Constantin Venhoff, Ashkan Khakzar, Sonia Joseph et al.
Dynamic and Chemical Constraints to Enhance the Molecular Masked Graph Autoencoders
Jiahui Zhang, Wenjie Du, Yang Wang
SeePhys: Does Seeing Help Thinking? – Benchmarking Vision-Based Physics Reasoning
Kun Xiang, Heng Li, Terry Jingchen Zhang et al.
FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens
Chao Wang, Yixin Song, Jinhui Ye et al.
Offline imitation learning in $Q^\pi$-realizable MDPs without expert realizability
Antoine Moulin, Gergely Neu, Luca Viano
Stochastic Principal-Agent Problems: Computing and Learning Optimal History-Dependent Policies
Jiarui Gan, R Majumdar, Debmalya Mandal et al.
Can Diffusion Models Disentangle? A Theoretical Perspective
Liming Wang, Muhammad Jehanzeb Mirza, Yishu Gong et al.
Revisiting Consensus Error: A Fine-grained Analysis of Local SGD under Second-order Data Heterogeneity
Kumar Kshitij Patel, Ali Zindari, Sebastian Stich et al.
The Complexity of Finding Local Optima in Contrastive Learning
Jingming Yan, Yiyuan Luo, Vaggos Chatziafratis et al.
The Complexity of Correlated Equilibria in Generalized Games
Martino Bernasconi, Matteo Castiglioni, Andrea Celli et al.
Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning
Idan Attias, Steve Hanneke, Arvind Ramaswami
Dynamic Content Prediction with Motion-aware Priors for Blind Face Video Restoration
Lianxin Xie, csbingbing zheng, Si Wu et al.
Stochastic Shortest Path with Sparse Adversarial Costs
Emmeran Johnson, Alberto Rumi, Ciara Pike-Burke et al.
An Investigation of Memorization Risk in Healthcare Foundation Models
Sana Tonekaboni, Lena Stempfle, Adibvafa Fallahpour et al.
Data Selection Matters: Towards Robust Instruction Tuning of Large Multimodal Models
Xu Yang, Chen Liu, Ying Wei
Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning
Dravyansh Sharma, Alec Sun
Cypher-RI: Reinforcement Learning for Integrating Schema Selection into Cypher Generation
Hanchen Su, Xuyuan Li, Yan Zhou et al.
Squared families are useful conjugate priors
Russell Tsuchida, Jiawei Liu, Cheng Soon Ong et al.
LiVOS: Light Video Object Segmentation with Gated Linear Matching
Qin Liu, Jianfeng Wang, Zhengyuan Yang et al.
Nyström-Accelerated Primal LS-SVMs: Breaking the $O(an^3)$ Complexity Bottleneck for Scalable ODEs Learning
Weikuo Wang, Yue Liao, Huan Luo
Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency
Feng Wang, Timing Yang, Yaodong Yu et al.
CryptoFace: End-to-End Encrypted Face Recognition
Wei Ao, Vishnu Naresh Boddeti
Graph-based Symbolic Regression with Invariance and Constraint Encoding
Ziyu Xiang, Kenna Ashen, Xiaofeng Qian et al.
Let the LLM Stick to Its Strengths: Learning to Route Economical LLM
Yi-Kai Zhang, Shiyin Lu, Qingguo Chen et al.
FLAIR: VLM with Fine-grained Language-informed Image Representations
Rui Xiao, Sanghwan Kim, Iuliana Georgescu et al.
Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning
Yibo Zhao, Yang Zhao, Hongru Du et al.
Fix False Transparency by Noise Guided Splatting
Aly El Hakie, Yiren Lu, Yu Yin et al.
SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater
Hanwen Liu, Longjiao Zhang, Rui Wang et al.
When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery
Dominik Meier, Sujai Hiremath, PROMIT GHOSAL et al.
A Tale of Two Symmetries: Exploring the Loss Landscape of Equivariant Models
YuQing Xie, Tess Smidt
SVDC: Consistent Direct Time-of-Flight Video Depth Completion with Frequency Selective Fusion
Xuan Zhu, Jijun Xiang, Xianqi Wang et al.
Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening
Piyush Nitin Bagad, Andrew Zisserman
Learning Repetition-Invariant Representations for Polymer Informatics
Yihan Zhu, Gang Liu, Eric Inae et al.
Neuro-3D: Towards 3D Visual Decoding from EEG Signals
Zhanqiang Guo, Jiamin Wu, Yonghao Song et al.
Variational Supervised Contrastive Learning
Ziwen Wang, Jiajun Fan, Thao Nguyen et al.
Estimating Hitting Times Locally at Scale
Themistoklis Haris, Fabian Spaeh, Spyridon Konstantinos Dragazis et al.
Johnson-Lindenstrauss Lemma Beyond Euclidean Geometry
Chengyuan Deng, Jie Gao, Kevin Lu et al.
Leveraging semantic similarity for experimentation with AI-generated treatments
Lei Shi, David Arbour, Raghavendra Addanki et al.
Efficient Transfer Learning for Video-language Foundation Models
Haoxing Chen, Zizheng Huang, Yan Hong et al.
SpiderSolver: A Geometry-Aware Transformer for Solving PDEs on Complex Geometries
KAI QI, Fan Wang, Zhewen Dong et al.
Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy
Aditya Ganeshan, Thibault Groueix, Paul Guerrero et al.
Revisiting Frank-Wolfe for Structured Nonconvex Optimization
Hoomaan Maskan, Yikun Hou, Suvrit Sra et al.
SCAP: Transductive Test-Time Adaptation via Supportive Clique-based Attribute Prompting
Chenyu Zhang, Kunlun Xu, Zichen Liu et al.
An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation
Uzair Akbar, Niki Kilbertus, Hao Shen et al.
Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings
Raphaël Pellegrin, Lukas Fesser, Melanie Weber
Generating 6DoF Object Manipulation Trajectories from Action Description in Egocentric Vision
Tomoya Yoshida, Shuhei Kurita, Taichi Nishimura et al.
Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era
Feng Lu, Tong Jin, Canming Ye et al.
LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
Pau Rodriguez, Michal Klein, Eleonora Gualdoni et al.
Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization
Marius Potfer, Vianney Perchet
Patch Matters: Training-free Fine-grained Image Caption Enhancement via Local Perception
ruotian peng, Haiying He, Yake Wei et al.
VisualLens: Personalization through Task-Agnostic Visual History
Wang Bill Zhu, Deqing Fu, Kai Sun et al.
Projective Equivariant Networks via Second-order Fundamental Differential Invariants
Yikang Li, Yeqing Qiu, Yuxuan Chen et al.
AliO: Output Alignment Matters in Long-Term Time Series Forecasting
Kwangryeol Park, Jaeho Kim, Seulki Lee
LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders
Borna Khodabandeh, Amirabbas Afzali, Amirhossein Afsharrad et al.
Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization
Long Xu, Jiakai Wang, Haojie Hao et al.
Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater
Xueyu Liu, Rui Wang, Yexin Lai et al.
Learning Provably Improves the Convergence of Gradient Descent
Qingyu Song, Wei Lin, Hong Xu
Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation
Muhammad Adnan, Nithesh Kurella, Akhil Arunkumar et al.