Most Cited 2025 "private estimators" Papers
22,274 papers found • Page 102 of 112
Conference
A Focused Human Body Model for Accurate Anthropometric Measurements Extraction
Shuhang Chen, Xianliang Huang, Zhizhou Zhong et al.
Policy Compatible Skill Incremental Learning via Lazy Learning Interface
Daehee Lee, Dongsu Lee, TaeYoon Kwack et al.
Bootstrap Your Own Views: Masked Ego-Exo Modeling for Fine-grained View-invariant Video Representations
Jungin Park, Jiyoung Lee, Kwanghoon Sohn
GeoClip: Geometry-Aware Clipping for Differentially Private SGD
Atefeh Gilani, Naima Tasnim, Lalitha Sankar et al.
Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity
Pierre Houédry, Nicolas Courty, Florestan Martin-Baillon et al.
Be More Specific: Evaluating Object-centric Realism in Synthetic Images
Anqi Liang, Ciprian Adrian Corneanu, Qianli Feng et al.
Role Bias in Diffusion Models: Diagnosing and Mitigating through Intermediate Decomposition
Sina Malakouti, Adriana Kovashka
JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation
Yiyang Ma, Xingchao Liu, Xiaokang Chen et al.
Solving and Learning Partial Differential Equations with Variational Q-Exponential Processes
Guangting Yu, Shiwei Lan
Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
Harsh Poonia, Felix Divo, Kristian Kersting et al.
A Novel General Framework for Sharp Lower Bounds in Succinct Stochastic Bandits
Guo Zeng, Jean Honorio
GPVK-VL: Geometry-Preserving Virtual Keyframes for Visual Localization under Large Viewpoint Changes
Yunxuan Li, Lei Fan, Xiaoying Xing et al.
E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products
Yunyang Li, Lin Huang, Zhihao Ding et al.
Continuous Thought Machines
Luke Darlow, Ciaran Regan, Sebastian Risi et al.
Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos
Vadim Tschernezki, Diane Larlus, Andrea Vedaldi et al.
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.
MASH-VLM: Mitigating Action-Scene Hallucination in Video-LLMs through Disentangled Spatial-Temporal Representations
Kyungho Bae, Jinhyung Kim, Sihaeng Lee et al.
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception
Baixuan Lv, Yaohua Zha, Tao Dai et al.
Differentiable Hierarchical Visual Tokenization
Marius Aasan, Martine Hjelkrem Tan, Nico Catalano et al.
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
Jiate Li, Meng Pang, Yun Dong 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
A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings
Xiaoang Xu, Shuo Wang, Xu Han et al.
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
Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D Motion
Saad Lahlali, Sandra Kara, Hejer AMMAR et al.
Coarse-to-Fine 3D Part Assembly via Semantic Super-Parts and Symmetry-Aware Pose Estimation
Xinyi Zhang, Bingyang Wei, Ruixuan Yu et al.
Rethinking Reconstruction and Denoising in the Dark: New Perspective, General Architecture and Beyond
Long Ma, Tengyu Ma, Ziye Li et al.
Revisiting Semi-Supervised Learning in the Era of Foundation Models
Ping Zhang, Zheda Mai, Quang-Huy (Percy) Nguyen et al.
Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark
Jinyuan Liu, Zihang Chen, Zhu Liu et al.
Multi-head Temporal Latent Attention
Keqi Deng, Phil Woodland
Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning
Julian Minder, Clément Dumas, Caden Juang et al.
Code-as-Monitor: Constraint-aware Visual Programming for Reactive and Proactive Robotic Failure Detection
Enshen Zhou, Qi Su, Cheng Chi et al.
4D-VLA: Spatiotemporal Vision-Language-Action Pretraining with Cross-Scene Calibration
Jiahui Zhang, Yurui Chen, Yueming Xu 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.
Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation
Yuheng Feng, Changsong Wen, Zelin Peng et al.
MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification
Junjie Zhou, WEI SHAO, Yagao Yue et al.
Prompt Tuning Decision Transformers with Structured and Scalable Bandits
Finn Rietz, Oleg Smirnov, Sara Karimi et al.
Novel Exploration via Orthogonality
Andreas Theophilou, Özgür Şimşek
RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models
Yiqi Tian, Pengfei Jin, Mingze Yuan et al.
Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints
Abhishek Sinha, Rahul Vaze
Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning
Pengxiang Li, Zhi Gao, Bofei Zhang et al.
GeoAvatar: Geometrically-Consistent Multi-Person Avatar Reconstruction from Sparse Multi-View Videos
Soohyun Lee, SeoYeon Kim, HeeKyung Lee et al.
EvolvedGRPO: Unlocking Reasoning in LVLMs via Progressive Instruction Evolution
Zhebei Shen, Qifan Yu, Juncheng Li et al.
Bias for Action: Video Implicit Neural Representations with Bias Modulation
Alper Kayabasi, Anil Kumar Vadathya, Guha Balakrishnan et al.
The Future Unmarked: Watermark Removal in AI-Generated Images via Next-Frame Prediction
Huming Qiu, Zhaoxiang Wang, Mi Zhang et al.
Universal Domain Adaptation for Semantic Segmentation
Seun-An Choe, Keon Hee Park, Jinwoo Choi et al.
Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy
Zesen Cheng, Hang Zhang, Kehan Li et al.
GeoMM: On Geodesic Perspective for Multi-modal Learning
Shibin Mei, Hang Wang, Bingbing Ni
Bézier Splatting for Fast and Differentiable Vector Graphics Rendering
Xi Liu, Chaoyi Zhou, Nanxuan Zhao et al.
Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentation
Markus Karmann, Onay Urfalioglu
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.
Execution Guided Line-by-Line Code Generation
Boaz Lavon, Shahar Katz, Lior Wolf
EchoMatch: Partial-to-Partial Shape Matching via Correspondence Reflection
Yizheng Xie, Viktoria Ehm, Paul Roetzer et al.
Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models
Chenrui Cao, Liangcheng Song, Zenan Li et al.
A Generalized Label Shift Perspective for Cross-Domain Gaze Estimation
Hao-Ran Yang, Xiaohui Chen, Chuan-Xian Ren
Scaling Law with Learning Rate Annealing
Howe Tissue, Venus Wang, Lu Wang
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.
VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment
Qing Li, Huifang Feng, Xun Gong et al.
Towards a Golden Classifier-Free Guidance Path via Foresight Fixed Point Iterations
Kaibo Wang, Jianda Mao, Tong Wu et al.
JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models
Jiaxin Song, Yixu Wang, Jie Li et al.
Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning
Shouhang Zhu, Chenglin Li, Yuankun Jiang 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
StoryGPT-V: Large Language Models as Consistent Story Visualizers
Xiaoqian Shen, Mohamed Elhoseiny
RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models
Greg Heinrich, Mike Ranzinger, Danny Yin et al.
Simulating Viva Voce Examinations to Evaluate Clinical Reasoning in Large Language Models
Christopher Chiu, Silviu Pitis, Mihaela van der Schaar
Font-Agent: Enhancing Font Understanding with Large Language Models
Yingxin Lai, Cuijie Xu, Haitian Shi et al.
Interpretable and Parameter Efficient Graph Neural Additive Models with Random Fourier Features
Thummaluru Siddartha Reddy, Vempalli Naga Sai Saketh, Mahesh Chandran
Spectral Analysis of Diffusion Models with Application to Schedule Design
Roi Benita, Miki Elad, Joseph Keshet
MITracker: Multi-View Integration for Visual Object Tracking
Mengjie Xu, Yitao Zhu, Haotian Jiang et al.
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.
Revolutionizing Graph Aggregation: From Suppression to Amplification via BoostGCN
Jiaxin Wu, Chenglong Pang, Guangxiong Chen 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
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
Dong Bok Lee, Aoxuan Zhang, Byungjoo Kim et al.
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
Graph–Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry
Masanari Kimura
Transformers Learn Faster with Semantic Focus
Parikshit Ram, Kenneth Clarkson, Tim Klinger et al.
BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading
Jonathan Schmidt, Simon Giebenhain, Matthias Niessner
Event-Driven Dynamic Scene Depth Completion
Zhiqiang Yan, Jianhao Jiao, Zhengxue Wang 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.
Precise Information Control in Long-Form Text Generation
Jacqueline He, Howard Yen, Margaret Li et al.
Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis
Dong Yang, YIYI CAI, Yuki Saito 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
Multi-Modal Contrastive Masked Autoencoders: A Two-Stage Progressive Pre-training Approach for RGBD Datasets
Muhammad Abdullah Jamal, Omid Mohareri
STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation
Yisi Luo, Xile Zhao, Kai Ye et al.
3D-SLNR: A Super Lightweight Neural Representation for Large-scale 3D Mapping
Chenhui Shi, Fulin Tang, Ning An et al.
Theoretical Guarantees for the Retention of Strict Nash Equilibria by Coevolutionary Algorithms
Alistair Benford, Per Kristian Lehre
Variational Task Vector Composition
Boyuan Zhang, Yingjun Du, Xiantong Zhen et al.
WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model
Zongjian Li, Bin Lin, Yang Ye et al.
R-SCoRe: Revisiting Scene Coordinate Regression for Robust Large-Scale Visual Localization
Xudong Jiang, Fangjinhua Wang, Silvano Galliani et al.
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.
A Unified Image-Dense Annotation Generation Model for Underwater Scenes
Hongkai Lin, Dingkang Liang, Zhenghao Qi 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.
IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios
Yifan Li, Yuhang Chen, Anh Dao et al.
Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding
Sunwoo Kim, Hyunjin Hwang, Kijung Shin
Bridge Frame and Event: Common Spatiotemporal Fusion for High-Dynamic Scene Optical Flow
Hanyu Zhou, Haonan Wang, Haoyue Liu et al.
LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data
Zehao Wang, Lin Yang, Jie Wang et al.
SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation
Claudia Cuttano, Gabriele Trivigno, Gabriele Rosi 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.
Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
Jaeseung Heo, Kyeongheung Yun, Seokwon Yoon et al.
FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models
Alice Heiman, Xiaoman Zhang, Emma Chen et al.
Narrating the Video: Boosting Text-Video Retrieval via Comprehensive Utilization of Frame-Level Captions
Chan Hur, Jeong-hun Hong, Dong-hun Lee et al.
A compressive-expressive communication framework for compositional representations
Rafael Elberg, Felipe del Río, Mircea Petrache et al.
Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction
Dong Li, Wenqi Zhong, Wei Yu et al.
ARM: Adaptive Reasoning Model
Tinghui Zhu, Jian Xie, yikai zhang et al.
Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity
Enneng Yang, Anke Tang, Li Shen et al.
Who Speaks for the Trigger? Dynamic Expert Routing in Backdoored Mixture-of-Experts Transformers
Xin Zhao, Xiaojun Chen, Bingshan Liu et al.
Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs
Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla
Test-Time Adaptation by Causal Trimming
Yingnan Liu, Rui Qiao, Mong-Li Lee et al.
Size-adaptive Hypothesis Testing for Fairness
Antonio Ferrara, Francesco Cozzi, Alan Perotti et al.
A Reinforcement Learning-based Bidding Strategy for Data Consumers in Auction-based Federated Learning
Xiaoli Tang, Han Yu, Xiaoxiao Li
SALS: Sparse Attention in Latent Space for KV Cache Compression
Junlin Mu, Hantao Huang, Jihang Zhang et al.
Discovering Opinion Intervals from Conflicts in Signed Graphs
Peter Blohm, Florian Chen, Aristides Gionis et al.
Temporally Consistent Object-Centric Learning by Contrasting Slots
Anna Manasyan, Maximilian Seitzer, Filip Radovic et al.
Omni-Mol: Multitask Molecular Model for Any-to-any Modalities
Chengxin Hu, Hao Li, Yihe Yuan et al.
SET: Spectral Enhancement for Tiny Object Detection
Huixin Sun, Runqi Wang, Yanjing Li et al.
LittleBit: Ultra Low-Bit Quantization via Latent Factorization
Banseok Lee, Dongkyu Kim, Youngcheon You et al.
BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation
Yujia Chen, Rui Sun, Wangkai Li et al.
Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing
Manchao Bao, Shengjiang Fang, Tao Yue et al.
Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass
Jianing "Jed" Yang, Alexander Sax, Kevin Liang et al.
Scaling can lead to compositional generalization
Florian Redhardt, Yassir Akram, Simon Schug
Illumination Spectrum Estimation for Multispectral Images via Surface Reflectance Modeling and Spatial-Spectral Feature Generation
Hyejin Oh, Woo-Shik Kim, Sangyoon Lee et al.
A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
Haydn Jones, Natalie Maus, Josh magnus Ludan et al.
OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states
Yuki Minai, Joana Soldado-Magraner, Byron M Yu et al.
FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic
Kanghyun Choi, Hyeyoon Lee, Sunjong Park et al.
Private Evolution Converges
Tomás González Lara, Giulia Fanti, Aaditya Ramdas
FlashMoE: Fast Distributed MoE in a Single Kernel
Osayamen Aimuyo, Byungsoo Oh, Rachee Singh
Model Editing for Vision Transformers
Xinyi Huang, Kangfei Zhao, Long-Kai Huang
Incentivizing Time-Aware Fairness in Data Sharing
Jiangwei Chen, Kieu Thao Nguyen Pham, Rachael Sim et al.
Scalable Policy-Based RL Algorithms for POMDPs
Ameya Anjarlekar, S. Rasoul Etesami, R. Srikant
Dynamic Masking and Auxiliary Hash Learning for Enhanced Cross-Modal Retrieval
Shuang Zhang, Yue Wu, Lei Shi et al.
OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields
Lisa Weijler, Sebastian Koch, Fabio Poiesi et al.
Statistical Inference under Performativity
Xiang Li, Yunai Li, Huiying Zhong et al.
Towards Generalizable Retina Vessel Segmentation with Deformable Graph Priors
Ke Liu, Shangde Gao, Yichao Fu et al.
InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions
Liangjian Wen, Qun Dai, Jianzhuang Liu et al.
Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures
Shuqing Luo, Ye Han, Pingzhi Li et al.
MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation
Yuxiang Fu, Qi Yan, Ke Li et al.
EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance
Yang Yue, Yulin Wang, Haojun Jiang et al.
UltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes
Yuang Meng, Xin Jin, Lina Lei et al.
CamFreeDiff: Camera-free Image to Panorama Generation with Diffusion Model
Xiaoding Yuan, Shitao Tang, Kejie Li et al.
RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models
Yilang Zhang, Bingcong Li, Georgios Giannakis
MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders
jiajun cao, Yuan Zhang, Tao Huang et al.
Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
Ruiyang Lin, Yongyi Guo, Kyra Gan
DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation
Tianyi Yan, Dongming Wu, Wencheng Han et al.
TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
Zhongyi Yu, Jianqiu Wu, Zhenghao Wu et al.
Causality Meets the Table: Debiasing LLMs for Faithful TableQA via Front-Door Intervention
Zhen Yang, Ziwei Du, Minghan Zhang et al.
Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization
Siyan Dong, Shuzhe Wang, Shaohui Liu et al.
Robust Integrated Learning and Pauli Noise Mitigation for Parametrized Quantum Circuits
Md Mobasshir Arshed Naved, Wenbo Xie, Wojciech Szpankowski et al.
Rethinking the Adversarial Robustness of Multi-Exit Neural Networks in an Attack-Defense Game
Keyizhi Xu, Chi Zhang, Zhan Chen et al.
Theory-Driven Label-Specific Representation for Incomplete Multi-View Multi-Label Learning
Quanjiang Li, Tianxiang Xu, Tingjin Luo et al.
Accelerating Feature Conformal Prediction via Taylor Approximation
Zihao Tang, Boyuan Wang, Chuan Wen et al.
EntropyMark: Towards More Harmless Backdoor Watermark via Entropy-based Constraint for Open-source Dataset Copyright Protection
Ming Sun, Rui Wang, Zixuan Zhu et al.
UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection
Xin Jin, Haisheng Su, Kai Liu et al.
Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data
shu chen, HongJun Xu, Ruichi Zhang et al.
Generative Caching for Structurally Similar Prompts and Responses
Sarthak Chakraborty, Suman Nath, Xuchao Zhang et al.
VolFormer: Explore More Comprehensive Cube Interaction for Hyperspectral Image Restoration and Beyond
Dabing Yu, Zheng Gao
Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization
Amin Heyrani Nobari, Lyle Regenwetter, Cyril Picard et al.
Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks
Gavin McCracken, Gabriela Moisescu-Pareja, Vincent Létourneau et al.
Transforming Generic Coder LLMs to Effective Binary Code Embedding Models for Similarity Detection
Litao Li, Leo Song, Steven Ding et al.
Novel View Synthesis from A Few Glimpses via Test-Time Natural Video Completion
Yan Xu, Yixing Wang, Stella X. Yu
3BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs
Mehdi Makni, Xiang Meng, Rahul Mazumder
GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis
You Wang, Li Fang, Hao Zhu et al.
Private Zeroth-Order Optimization with Public Data
Xuchen Gong, Tian Li
PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning
Yizhen Zhang, Yang Ding, Shuoshuo Zhang et al.
SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow
Qingyuan Wang, Rui Song, Jiaojiao Li et al.
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
Song Xia, Yi Yu, Wenhan Yang et al.
Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data
Wenxin Su, Song Tang, Xiaofeng Liu et al.
GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer
Sayan Deb Sarkar, Sinisa Stekovic, Vincent Lepetit et al.
Rethinking Personalized Aesthetics Assessment: Employing Physique Aesthetics Assessment as An Exemplification
Haobin Zhong, Shuai He, Anlong Ming et al.
Frequency-Biased Synergistic Design for Image Compression and Compensation
Jiaming Liu, Qi Zheng, Zihao Liu et al.
AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction
Niklas Freymuth, Tobias Würth, Nicolas Schreiber et al.
MaxSup: Overcoming Representation Collapse in Label Smoothing
Yuxuan Zhou, Heng Li, Zhi-Qi Cheng et al.
Towards More General Video-based Deepfake Detection through Facial Component Guided Adaptation for Foundation Model
Yue-Hua Han, Tai-Ming Huang, Kailung Hua et al.
Disentangling misreporting from genuine adaptation in strategic settings: a causal approach
Dylan Zapzalka, Trenton Chang, Lindsay Warrenburg et al.
Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels
Jonathan Grizou, Carlos De la Torre-Ortiz, Tuukka Ruotsalo
Network two-sample test for block models
Chung Kyong Nguen, Arash Amini, OSCAR HERNAN MADRID PADILLA
APT: Adaptive Personalized Training for Diffusion Models with Limited Data
JungWoo Chae, Jiyoon Kim, Jaewoong Choi et al.
Foundations of the Theory of Performance-Based Ranking
Sébastien Piérard, Anaïs Halin, Anthony Cioppa et al.
Understanding Data Influence in Reinforcement Finetuning
Haoru Tan, Xiuzhe Wu, Sitong Wu et al.
Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks
Eva Xie, Stefan Mihalas, Łukasz Kuśmierz
WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels
Hyeokjun Kweon, Kuk-Jin Yoon
Convex Combination Star Shape Prior for Data-driven Image Semantic Segmentation
Xinyu Zhao, Jun Xie, Shengzhe Chen et al.
How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs
Samet Demir, Zafer Dogan