Most Cited 2025 "triangle meshes" Papers
22,274 papers found • Page 92 of 112
Conference
The Complexity of Finding Local Optima in Contrastive Learning
Jingming Yan, Yiyuan Luo, Vaggos Chatziafratis et al.
Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning
Idan Attias, Steve Hanneke, Arvind Ramaswami
Stochastic Shortest Path with Sparse Adversarial Costs
Emmeran Johnson, Alberto Rumi, Ciara Pike-Burke 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
Squared families are useful conjugate priors
Russell Tsuchida, Jiawei Liu, Cheng Soon Ong et al.
Convex Combination Star Shape Prior for Data-driven Image Semantic Segmentation
Xinyu Zhao, Jun Xie, Shengzhe Chen et al.
Nyström-Accelerated Primal LS-SVMs: Breaking the $O(an^3)$ Complexity Bottleneck for Scalable ODEs Learning
Weikuo Wang, Yue Liao, Huan Luo
Learning Conditional Space-Time Prompt Distributions for Video Class-Incremental Learning
Xiaohan Zou, Wenchao Ma, Shu Zhao
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.
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.
When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery
Dominik Meier, Sujai Hiremath, PROMIT GHOSAL et al.
Learning Repetition-Invariant Representations for Polymer Informatics
Yihan Zhu, Gang Liu, Eric Inae et al.
Estimating Hitting Times Locally at Scale
Themistoklis Haris, Fabian Spaeh, Spyridon Konstantinos Dragazis et al.
Leveraging semantic similarity for experimentation with AI-generated treatments
Lei Shi, David Arbour, Raghavendra Addanki 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
Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era
Feng Lu, Tong Jin, Canming Ye et al.
Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization
Marius Potfer, Vianney Perchet
VisualLens: Personalization through Task-Agnostic Visual History
Wang Bill Zhu, Deqing Fu, Kai Sun 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.
Learning Provably Improves the Convergence of Gradient Descent
Qingyu Song, Wei Lin, Hong Xu
STAR: Efficient Preference-based Reinforcement Learning via Dual Regularization
Fengshuo Bai, Rui Zhao, Hongming Zhang et al.
PhySwin: An Efficient and Physically-Informed Foundation Model for Multispectral Earth Observation
Chong Tang, Joseph Powell, Dirk Koch et al.
DGH: Dynamic Gaussian Hair
Junying Wang, Yuanlu Xu, Edith Tretschk et al.
OOD Detection with Relative Angles
Berker Demirel, Marco Fumero, Francesco Locatello
Extracting task-relevant preserved dynamics from contrastive aligned neural recordings
Yiqi Jiang, Kaiwen Sheng, Yujia Gao et al.
Disentangled Pose and Appearance Guidance for Multi-Pose Generation
Tengfei Xiao, Yue Wu, Yuelong Li et al.
Covariate-moderated Empirical Bayes Matrix Factorization
William Denault, Karl Tayeb, Peter Carbonetto et al.
VI^3NR: Variance Informed Initialization for Implicit Neural Representations
Chamin Hewa Koneputugodage, Yizhak Ben-Shabat, Sameera Ramasinghe et al.
A Plug-and-Play Query Synthesis Active Learning Framework for Neural PDE Solvers
Zhiyuan Wang, Jinwoo Go, Byung-Jun Yoon et al.
Less is More: an Attention-free Sequence Prediction Modeling for Offline Embodied Learning
Wei Huang, Jianshu Zhang, Leiyu Wang et al.
GliaNet: Adaptive Neural Network Structure Learning with Glia-Driven
Mengqiao Han, Liyuan Pan, Xiabi Liu
Learning and Planning Multi-Agent Tasks via an MoE-based World Model
Zijie Zhao, Zhongyue Zhao, Kaixuan Xu et al.
Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion
Xiangfeng Xu, Pinyi Zhang, Wenxuan Huang et al.
Towards Irreversible Attack: Fooling Scene Text Recognition via Multi-Population Coevolution Search
Jingyu Li, Pengwen Dai, Mingqing Zhu et al.
CG-SSL: Concept-Guided Self-Supervised Learning
Sara Atito, Josef Kittler, Imran Razzak et al.
Generalization Guarantees for Learning Score-Based Branch-and-Cut Policies in Integer Programming
Hongyu Cheng, Amitabh Basu
LangHOPS: Language Grounded Hierarchical Open-Vocabulary Part Segmentation
Yang Miao, Jan-Nico Zaech, Xi Wang et al.
VidSeg: Training-free Video Semantic Segmentation based on Diffusion Models
Qian Wang, Abdelrahman Eldesokey, Mohit Mendiratta et al.
Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria
Linjian Meng, Youzhi Zhang, Zhenxing Ge et al.
Learning to Clean: Reinforcement Learning for Noisy Label Correction
Marzi Heidari, Hanping Zhang, Yuhong Guo
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
Ping Guo, Cheng Gong, Fei Liu et al.
MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs
Tobias Lorenz, Marta Kwiatkowska, Mario Fritz
Distributional Adversarial Attacks and Training in Deep Hedging
Guangyi He, Tobias Sutter, Lukas Gonon
Calibrating Translation Decoding with Quality Estimation on LLMs
Di Wu, Yibin Lei, Christof Monz
Improve Temporal Reasoning in Multimodal Large Language Models via Video Contrastive Decoding
Daiqing Qi, Dongliang Guo, Hanzhang Yuan et al.
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
Huikang Su, Dengyun Peng, Zifeng Zhuang et al.
Efficient Bayesian Experiment Design with Equivariant Networks
Conor Igoe, Tejus Gupta, Jeff Schneider
Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement
Derong Kong, Zhixiong Yang, Shengxi Li et al.
SuperLightNet: Lightweight Parameter Aggregation Network for Multimodal Brain Tumor Segmentation
Feng Yu, Jiacheng Cao, Li Liu et al.
Understanding the Gain from Data Filtering in Multimodal Contrastive Learning
Divyansh Pareek, Sewoong Oh, Simon Du
Enhancing Zero-Shot Black-Box Optimization via Pretrained Models with Efficient Population Modeling, Interaction, and Stable Gradient Approximation
Muqi Han, Xiaobin Li, Kai Wu et al.
ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training
Xin Yao, Haiyang Zhao, Yimin Chen et al.
Reaction Prediction via Interaction Modeling of Symmetric Difference Shingle Sets
Runhan Shi, Letian Chen, Gufeng Yu et al.
Anomaly Detection by an Ensemble of Random Pairs of Hyperspheres
Walid Durani, Collin Leiber, Khalid Durani et al.
Backdoor Mitigation via Invertible Pruning Masks
Kealan Dunnett, Reza Arablouei, Volkan Dedeoglu et al.
Data-Dependent Regret Bounds for Constrained MABs
Gianmarco Genalti, Francesco Emanuele Stradi, Matteo Castiglioni et al.
Value Diffusion Reinforcement Learning
Xiaoliang Hu, Fuyun Wang, Tong Zhang et al.
Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders
Samuel V. Singh, Shirley Coyle, Mimi Zhang
Improving Model-Based Reinforcement Learning by Converging to Flatter Minima
Shrinivas Ramasubramanian, Benjamin Freed, Alexandre Capone et al.
MANTA: Diffusion Mamba for Efficient and Effective Stochastic Long-Term Dense Action Anticipation
Olga Zatsarynna, Emad Bahrami, Yazan Abu Farha et al.
NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval
Junchen Li, Rongzheng Wang, Yihong Huang et al.
EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character Animation
Haotian Ling, Zequn Chen, Qiuying Chen et al.
EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction
Hsi-Che Lin, Yu-Chu Yu, Kai-Po Chang et al.
Faster Fixed-Point Methods for Multichain MDPs
Matthew Zurek, Yudong Chen
Learning Source-Free Domain Adaptation for Visible-Infrared Person Re-Identification
Yongxiang Li, Yanglin Feng, Yuan Sun et al.
BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing
Jinsu Kim, Yunhun Nam, Minseon Kim et al.
PANORAMA: A Dataset and Benchmarks Capturing Decision Trails and Rationales in Patent Examination
Hyunseung Lim, Sooyohn Nam, Sungmin Na et al.
The Dual Nature of Plasticity Loss in Deep Continual Learning: Dissection and Mitigation
Haoyu Wang, Wei Dai, Jiawei Zhang et al.
GaussianIP: Identity-Preserving Realistic 3D Human Generation via Human-Centric Diffusion Prior
Zichen Tang, Yuan Yao, Miaomiao Cui et al.
HOComp: Interaction-Aware Human-Object Composition
Dong Liang, Jinyuan Jia, Yuhao LIU et al.
Bridging Gait Recognition and Large Language Models Sequence Modeling
Shaopeng Yang, Jilong Wang, Saihui Hou et al.
Document Summarization with Conformal Importance Guarantees
Bruce Kuwahara, Chen-Yuan Lin, Xiao Shi Huang et al.
Multivariate Time Series Anomaly Detection with Idempotent Reconstruction
Xin Sun, Heng Zhou, Chao Li
Preference-Based Dynamic Ranking Structure Recognition
Nan Lu, Jian Shi, Xinyu Tian
A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation
Qichao Cao, Shangzhi Zeng, Jin Zhang
SpaceServe: Spatial Multiplexing of Complementary Encoders and Decoders for Multimodal LLMs
zhicheng li, Shuoming Zhang, Jiacheng Zhao et al.
Latent Harmony: Synergistic Unified UHD Image Restoration via Latent Space Regularization and Controllable Refinement
Yidi Liu, Xueyang Fu, Jie Huang et al.
Cross-Rejective Open-Set SAR Image Registration
Shasha Mao, Shiming Lu, Zhaolong Du et al.
Model-Informed Flows for Bayesian Inference
Joohwan Ko, Justin Domke
Regression Trees Know Calculus
Nathan Wycoff
The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs?
Hao Yin, Guangzong Si, Zilei Wang
Salient Concept-Aware Generative Data Augmentation
Tianchen Zhao, Xuanbai Chen, Zhihua Li et al.
MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification
Xinya Qin, Lu Bai, Lixin Cui et al.
Segment Anything Model Meets Semi-supervised Medical Image Segmentation: A Novel Perspective
Haifeng Zhao, Haiyang Li, Lei-Lei Ma et al.
SOAP: Vision-Centric 3D Semantic Scene Completion with Scene-Adaptive Decoder and Occluded Region-Aware View Projection
Hyo-Jun Lee, Yeong Jun Koh, Hanul Kim et al.
CURE: Co-Evolving Coders and Unit Testers via Reinforcement Learning
Yinjie Wang, Ling Yang, Ye Tian et al.
FedCS: Coreset Selection for Federated Learning
Chenhe Hao, Weiying Xie, Daixun Li et al.
GraphI2P: Image-to-Point Cloud Registration with Exploring Pattern of Correspondence via Graph Learning
Lin Bie, Shouan Pan, Siqi Li et al.
Multi-scale Temporal Prediction via Incremental Generation and Multi-agent Collaboration
Zhitao Zeng, Guojian Yuan, Junyuan Mao et al.
RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation
Xingliang Wang, Zemin Liu, Junxiao Han et al.
Graph Persistence goes Spectral
Mattie Ji, Amauri Souza, Vikas Garg
Globally Optimal Policy Gradient Algorithms for Reinforcement Learning with PID Control Policies
Vipul Sharma, Wesley Suttle, S Sivaranjani
Why Playing Against Diverse and Challenging Opponents Speeds Up Coevolution: A Theoretical Analysis on Combinatorial Games
Alistair Benford, Per Kristian Lehre
MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation
Ziru Wang, Mengmeng Wang, Guang Dai et al.
Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions
Guoji Fu, Wee Sun Lee
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
Felix Wagner, Pramit Saha, Harry Anthony et al.
FlexUOD: The Answer to Real-world Unsupervised Image Outlier Detection
Zhonghang Liu, Kun Zhou, Changshuo Wang et al.
HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations
Junxi Xiao, Qinliang Su, Zexin Yuan
Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space
Mingyang Yi, Bohan Wang
Samba: A Unified Mamba-based Framework for General Salient Object Detection
Jiahao He, Keren Fu, Xiaohong Liu et al.
Uncertainty Estimation by Flexible Evidential Deep Learning
Taeseong Yoon, Heeyoung Kim
Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity
Victor Li, Baiting Chen, Yuzhen Mao et al.
LayerNavigator: Finding Promising Intervention Layers for Efficient Activation Steering in Large Language Models
Hao Sun, Huailiang Peng, Qiong Dai et al.
Generative Perception of Shape and Material from Differential Motion
Xinran Han, Ko Nishino, Todd Zickler
Sequential Attention-based Sampling for Histopathological Analysis
Tarun Gogisetty, Naman Malpani, Gugan Chandrashekhar Mallika Thoppe et al.
Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations
Panqi Chen, Yifan Sun, Lei Cheng et al.
Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations
Ansong Ni, Ruta Desai, Yang Li et al.
Beyond Prediction: Managing the Repercussions of Machine Learning Applications
Aline Weber, Blossom Metevier, Yuriy Brun et al.
Sparse Image Synthesis via Joint Latent and RoI Flow
Ziteng Gao, Jay Zhangjie Wu, Mike Zheng Shou
Policy Gradient Methods Converge Globally in Imperfect-Information Extensive-Form Games
Fivos Kalogiannis, Gabriele Farina
Risk-Averse Constrained Reinforcement Learning with Optimized Certainty Equivalents
Jane Lee, Baturay Saglam, Spyridon Pougkakiotis et al.
Collaborative Tree Search for Enhancing Embodied Multi-Agent Collaboration
Lizheng Zu, Lin Lin, Song Fu et al.
VividFace: A Robost and High-Fidelity Video Face Swapping Framework
Hao Shao, Shulun Wang, Yang Zhou et al.
Non-Convex Tensor Recovery from Tube-Wise Sensing
Tongle Wu, Ying Sun
Dual Exposure Stereo for Extended Dynamic Range 3D Imaging
Juhyung Choi, Jinneyong Kim, Seokjun Choi et al.
DeepHalo: A Neural Choice Model with Controllable Context Effects
Shuhan Zhang, Zhi Wang, Rui Gao et al.
Improved Monocular Depth Prediction Using Distance Transform Over Pre-semantic Contours with Self-supervised Neural Networks
Marwane Hariat, Antoine Manzanera, David Filliat
Synthetic Series-Symbol Data Generation for Time Series Foundation Models
Wenxuan Wang, Kai Wu, yujian li et al.
Path-Enhanced Contrastive Learning for Recommendation
Haoran Sun, Fei Xiong, Yuanzhe Hu et al.
A Pre-training Framework for Relational Data with Information-theoretic Principles
Quang Truong, Zhikai Chen, Mingxuan Ju et al.
HopaDIFF: Holistic-Partial Aware Fourier Conditioned Diffusion for Referring Human Action Segmentation in Multi-Person Scenarios
Kunyu Peng, Junchao Huang, Xiangsheng Huang et al.
ERUPT: Efficient Rendering with Unposed Patch Transformer
Maxim Shugaev, Vincent Chen, Maxim Karrenbach et al.
DAPO : Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage-Based Policy Optimization
Jiacai Liu, Chaojie Wang, Chris Liu et al.
On Group Sufficiency Under Label Bias
Haoran Zhang, Olawale Salaudeen, Marzyeh Ghassemi
Smooth Regularization for Efficient Video Recognition
Gil Goldman, Raja Giryes, Mahadev Satyanarayanan
LLM-DAMVC: A Large Language Model Assisted Dynamic Agent for Multi-View Clustering
Qianqian Wang, Qianqian Wang
Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
Mohammad Saleh Refahi, Mahdi Abavisani, Bahrad Sokhansanj et al.
Robust Cross-modal Alignment Learning for Cross-Scene Spatial Reasoning and Grounding
Yanglin Feng, Hongyuan Zhu, Dezhong Peng et al.
Multimodal Causal Reasoning for UAV Object Detection
Nianxin Li, Mao Ye, Lihua Zhou et al.
Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks
Ashley Kurian, Aydin Aysu
Policy Compatible Skill Incremental Learning via Lazy Learning Interface
Daehee Lee, Dongsu Lee, TaeYoon Kwack et al.
Redefining <Creative> in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation
Fu Feng, Yucheng Xie, Xu Yang et al.
Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity
Pierre Houédry, Nicolas Courty, Florestan Martin-Baillon et al.
Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models
Daniel Samira, Edan Habler, Yuval Elovici et al.
Role Bias in Diffusion Models: Diagnosing and Mitigating through Intermediate Decomposition
Sina Malakouti, Adriana Kovashka
Solving and Learning Partial Differential Equations with Variational Q-Exponential Processes
Guangting Yu, Shiwei Lan
A Novel General Framework for Sharp Lower Bounds in Succinct Stochastic Bandits
Guo Zeng, Jean Honorio
Generalized Zero-Shot Classification via Semantics-Free Inter-Class Feature Generation
Libiao Chen, Dong Nie, Junjun Pan et al.
Camera Resection from Known Line Pencils and a Radially Distorted Scanline
Juan Carlos Dibene Simental, Enrique Dunn
Asymptotic theory of SGD with a general learning-rate
Or Goldreich, Ziyang Wei, SOHAM BONNERJEE et al.
Attention with Trained Embeddings Provably Selects Important Tokens
Diyuan Wu, Aleksandr Shevchenko, Samet Oymak et al.
SKDream: Controllable Multi-view and 3D Generation with Arbitrary Skeletons
Yuanyou Xu, Zongxin Yang, Yi Yang
Differentiable Hierarchical Visual Tokenization
Marius Aasan, Martine Hjelkrem Tan, Nico Catalano et al.
Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity
Pengqi Li, Lizhong Ding, Jiarun Fu et al.
Bridging Brains and Concepts: Interpretable Visual Decoding from fMRI with Semantic Bottlenecks
Sara Cammarota, Matteo Ferrante, Nicola Toschi
Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations
Jiabin Lin, Shana Moothedath
AlphaBeta is not as good as you think: a simple random games model for a better analysis of deterministic game-solving algorithms
Raphael Boige, Amine Boumaza, Bruno Scherrer
Activity Pruning for Efficient Spiking Neural Networks
Tong Bu, Xinyu Shi, Zhaofei Yu
Coarse-to-Fine 3D Part Assembly via Semantic Super-Parts and Symmetry-Aware Pose Estimation
Xinyi Zhang, Bingyang Wei, Ruixuan Yu et al.
PandaPose: 3D Human Pose Lifting from a Single Image via Propagating 2D Pose Prior to 3D Anchor Space
Jinghong Zheng, Changlong Jiang, Yang Xiao et al.
Closest Neighbors are Harmful for Lightweight Masked Auto-encoders
Jian Meng, Ahmed Hasssan, Li Yang et al.
Fisher meets Feynman: score-based variational inference with a product of experts
Diana Cai, Robert Gower, David Blei et al.
DiffLiG: Diffusion-enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction
Yuxiang Li, Yang Zhang, Li et al.
Novel Exploration via Orthogonality
Andreas Theophilou, Özgür Şimşek
EvolvedGRPO: Unlocking Reasoning in LVLMs via Progressive Instruction Evolution
Zhebei Shen, Qifan Yu, Juncheng Li et al.
The Future Unmarked: Watermark Removal in AI-Generated Images via Next-Frame Prediction
Huming Qiu, Zhaoxiang Wang, Mi Zhang et al.
Hybrid Reciprocal Transformer with Triplet Feature Alignment for Scene Graph Generation
Jiawei Fu, ZHANG Tiantian, Kai Chen et al.
The quest for the GRAph Level autoEncoder (GRALE)
Paul Krzakala, Gabriel Melo, Charlotte Laclau et al.
Fair Cooperation in Mixed-Motive Games via Conflict-Aware Gradient Adjustment
Woojun Kim, Katia Sycara
Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption
Longxiang He, Deheng Ye, Junbo Tan et al.
DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm
Xiaowei Zhu, Yubing Ren, Fang Fang et al.
Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps
Haibo Jin, Peiyan Zhang, Man Luo et al.
Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback
Ofir Schlisselberg, Tal Lancewicki, Peter Auer et al.
Learning Person-Specific Animatable Face Models from In-the-Wild Images via a Shared Base Model
Yuxiang Mao, Zhenfeng Fan, Zhijie Zhang et al.
Coresets for Clustering Under Stochastic Noise
Lingxiao Huang, Zhize Li, Nisheeth K. Vishnoi et al.
Enforcing convex constraints in Graph Neural Networks
Ahmed Rashwan, Keith Briggs, Chris Budd et al.
Let's Chorus: Partner-aware Hybrid Song-Driven 3D Head Animation
Xiumei Xie, Zikai Huang, Wenhao Xu et al.
CLAWS:Creativity detection for LLM-generated solutions using Attention Window of Sections
Keuntae Kim, Eunhye Jeong, Sehyeon Lee et al.
Adversarial generalization of unfolding (model-based) networks
Vicky Kouni
Simulating Viva Voce Examinations to Evaluate Clinical Reasoning in Large Language Models
Christopher Chiu, Silviu Pitis, Mihaela van der Schaar
Interpretable and Parameter Efficient Graph Neural Additive Models with Random Fourier Features
Thummaluru Siddartha Reddy, Vempalli Naga Sai Saketh, Mahesh Chandran
Learning Human-Object Interaction as Groups
Jiajun Hong, Jianan Wei, Wenguan Wang
Rethinking Out-of-Distribution Detection and Generalization with Collective Behavior Dynamics
Zhenbin Wang, Lei Zhang, Wei Huang et al.
Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation
Xiang Fang, Wanlong Fang, Changshuo Wang
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections
Wei Zhuo, Zhaohuan Zhan, Han Yu
Vulnerable Data-Aware Adversarial Training
Yuqi Feng, Jiahao Fan, Yanan Sun
Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning
Ruilin Tong, Haodong Lu, Yuhang Liu et al.
Revising and Falsifying Sparse Autoencoder Feature Explanations
George Ma, Samuel Pfrommer, Somayeh Sojoudi
Transformers Learn Faster with Semantic Focus
Parikshit Ram, Kenneth Clarkson, Tim Klinger et al.
HumanCrafter: Synergizing Generalizable Human Reconstruction and Semantic 3D Segmentation
Panwang Pan, Tingting Shen, Chenxin Li et al.
ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection
Tao Yin, Shaochen Fu, Zhibin Zhang et al.
Part-Aware Bottom-Up Group Reasoning for Fine-Grained Social Interaction Detection
Dongkeun Kim, Minsu Cho, Suha Kwak
PhysDiff-VTON: Cross-Domain Physics Modeling and Trajectory Optimization for Virtual Try-On
Shibin Mei, Bingbing Ni
Theoretical Guarantees for the Retention of Strict Nash Equilibria by Coevolutionary Algorithms
Alistair Benford, Per Kristian Lehre
DUET: Dual-Perspective Pseudo Labeling and Uncertainty-aware Exploration & Exploitation Training for Source-Free Domain Adaptation
JaeYun Lee, Jae Hyeon Park, Gyoomin Lee et al.
Can Machines Understand Composition? Dataset and Benchmark for Photographic Image Composition Embedding and Understanding
Zhaoran Zhao, Peng Lu, Anran Zhang et al.
Sim-LLM: Optimizing LLM Inference at the Edge through Inter-Task KV Reuse
Ruikun Luo, Changwei Gu, Qiang He et al.
Doodle to Detect: A Goofy but Powerful Approach to Skeleton-based Hand Gesture Recognition
Sang Han, Seonho Lee, Hyeok Nam et al.
Kernel von Mises Formula of the Influence Function
Yaroslav Mukhin
Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding
Sunwoo Kim, Hyunjin Hwang, Kijung Shin
LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data
Zehao Wang, Lin Yang, Jie Wang et al.
Composing Linear Layers from Irreducibles
Travis Pence, Daisuke Yamada, Vikas Singh
FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network
Shuo Xu, Yu Chen, Shuxia Lin et al.
A compressive-expressive communication framework for compositional representations
Rafael Elberg, Felipe del Río, Mircea Petrache et al.
ARM: Adaptive Reasoning Model
Tinghui Zhu, Jian Xie, yikai zhang et al.