Most Cited 2025 "string embedding" Papers
22,274 papers found • Page 95 of 112
Conference
Benchmarking Egocentric Multimodal Goal Inference for Assistive Wearable Agents
Vijay Veerabadran, Fanyi Xiao, Nitin Kamra et al.
A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains
Dexuan Zhang, Thomas Westfechtel, Tatsuya Harada
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.
Harnessing Input-Adaptive Inference for Efficient VLN
Dongwoo Kang, Akhil Perincherry, Zachary Coalson et al.
HOComp: Interaction-Aware Human-Object Composition
Dong Liang, Jinyuan Jia, Yuhao LIU et al.
Rethinking the Upsampling Process in Light Field Super-Resolution with Spatial-Epipolar Implicit Image Function
Ruixuan Cong, Yu Wang, Mingyuan Zhao 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
Capturing head avatar with hand contacts from a monocular video
Haonan He, Yufeng Zheng, Jie Song
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.
EventUPS: Uncalibrated Photometric Stereo Using an Event Camera
Jinxiu Liang, Bohan Yu, Siqi Yang et al.
Less is More: Empowering GUI Agent with Context-Aware Simplification
Gongwei Chen, Xurui Zhou, Rui Shao 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.
Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence
Xihong Yang, Siwei Wang, Jiaqi Jin et al.
Segment Anything Model Meets Semi-supervised Medical Image Segmentation: A Novel Perspective
Haifeng Zhao, Haiyang Li, Lei-Lei Ma et al.
Language-Driven Multi-Label Zero-Shot Learning with Semantic Granularity
Shouwen Wang, Qian Wan, Junbin Gao et al.
Class Token as Proxy: Optimal Transport-assisted Proxy Learning for Weakly Supervised Semantic Segmentation
Jian Wang, Tianhong Dai, Bingfeng Zhang et al.
Improving Deep Learning for Accelerated MRI With Data Filtering
Kang Lin, Anselm Krainovic, Kun Wang et al.
CURE: Co-Evolving Coders and Unit Testers via Reinforcement Learning
Yinjie Wang, Ling Yang, Ye Tian et al.
Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models
Hyundong Jin, Hyung Jin Chang, Eunwoo Kim
Fire360: A Benchmark for Robust Perception and Episodic Memory in Degraded 360° Firefighting Video
Aditi Tiwari, Farzaneh Masoud, Dac Nguyen et al.
Learning Separable Fine-Grained Representation via Dendrogram Construction from Coarse Labels for Fine-grained Visual Recognition
Guanghui Shi, Xuefeng liang, Wenjie Li et al.
Multi-scale Temporal Prediction via Incremental Generation and Multi-agent Collaboration
Zhitao Zeng, Guojian Yuan, Junyuan Mao et al.
Hyper-Depth: Hypergraph-based Multi-Scale Representation Fusion for Monocular Depth Estimation
Lin Bie, Siqi Li, Yifan Feng 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.
Unknown Text Learning for CLIP-based Few-Shot Open-set Recognition
Rui Ma, Qilong Wang, Bing Cao et al.
Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions
Guoji Fu, Wee Sun Lee
Joint Semantic and Rendering Enhancements in 3D Gaussian Modeling with Anisotropic Local Encoding
Jingming He, Chongyi Li, Shiqi Wang et al.
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
Felix Wagner, Pramit Saha, Harry Anthony et al.
One Object, Multiple Lies: A Benchmark for Cross-task Adversarial Attack on Unified Vision-Language Models
Jiale Zhao, XINYANG JIANG, Junyao Gao 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
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.
Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms
William Réveillard, Richard Combes
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.
CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts
Olaf Dünkel, Artur Jesslen, Jiahao Xie 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
Risk-Averse Constrained Reinforcement Learning with Optimized Certainty Equivalents
Jane Lee, Baturay Saglam, Spyridon Pougkakiotis et al.
Continual Adaptation: Environment-Conditional Parameter Generation for Object Detection in Dynamic Scenarios
Deng Li, Aming WU, Yang Li et al.
TSC-Net: Prediction of Pedestrian Trajectories by Trajectory-Scene-Cell Classification
BO HU, Tat-Jen Cham
MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation
Sungwoo Cho, Jeongsoo Choi, Sungnyun Kim 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
CH3Depth: Efficient and Flexible Depth Foundation Model with Flow Matching
Jiaqi Li, Yiran Wang, Jinghong Zheng et al.
DeepHalo: A Neural Choice Model with Controllable Context Effects
Shuhan Zhang, Zhi Wang, Rui Gao et al.
Synthetic Series-Symbol Data Generation for Time Series Foundation Models
Wenxuan Wang, Kai Wu, yujian li et al.
From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras
Youngho Kim, Hoonhee Cho, Kuk-Jin Yoon
Path-Enhanced Contrastive Learning for Recommendation
Haoran Sun, Fei Xiong, Yuanzhe Hu et al.
Wavelet Policy: Lifting Scheme for Policy Learning in Long-Horizon Tasks
Hao Huang, Shuaihang Yuan, Geeta Chandra Raju Bethala 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.
UniHG: A Large-scale Universal Heterogeneous Graph Dataset and Benchmark for Representation Learning and Cross-Domain Transferring
Yide Qiu, Tong Zhang, Shaoxiang Ling et al.
MemDistill: Distilling LiDAR Knowledge into Memory for Camera-Only 3D Object Detection
Donghyeon Kwon, Youngseok Yoon, Hyeongseok Son 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
Cooperative Pseudo Labeling for Unsupervised Federated Classification
Kuangpu Guo, Lijun Sheng, Yongcan Yu et al.
Blood Flow Speed Estimation with Optical Coherence Tomography Angiography Images
Wensheng Cheng, Zhenghong Li, Jiaxiang Ren et al.
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.
Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning
Huu Binh Ta, Duc Nguyen, Quyen Tran et al.
Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks
Ashley Kurian, Aydin Aysu
Towards Automated Petrography
Isai Daniel Chacon, Paola Ruiz Puentes, Jillian Pearse et al.
CarbonGlobe: A Global-Scale, Multi-Decade Dataset and Benchmark for Carbon Forecasting in Forest Ecosystems
Zhihao Wang, Lei Ma, George Hurtt et al.
Policy Compatible Skill Incremental Learning via Lazy Learning Interface
Daehee Lee, Dongsu Lee, TaeYoon Kwack et al.
MissRAG: Addressing the Missing Modality Challenge in Multimodal Large Language Models
Vittorio Pipoli, Alessia Saporita, Federico Bolelli et al.
Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity
Pierre Houédry, Nicolas Courty, Florestan Martin-Baillon 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
Neural Solver of Dichromatic Reflection Model for Specular Highlight Removal
Gang Fu
A Novel General Framework for Sharp Lower Bounds in Succinct Stochastic Bandits
Guo Zeng, Jean Honorio
Factorized Learning for Temporally Grounded Video-Language Models
Wenzheng Zeng, Difei Gao, Mike Zheng Shou et al.
How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning
Yao Tong, Jiayuan Ye, Sajjad Zarifzadeh et al.
DISTIL: Data-Free Inversion of Suspicious Trojan Inputs via Latent Diffusion
Hossein Mirzaei, Zeinab Taghavi, Sepehr Rezaee 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.
VMDT: Decoding the Trustworthiness of Video Foundation Models
Yujin Potter, Zhun Wang, Nicholas Crispino et al.
Differentiable Hierarchical Visual Tokenization
Marius Aasan, Martine Hjelkrem Tan, Nico Catalano et al.
Privacy-centric Deep Motion Retargeting for Anonymization of Skeleton-Based Motion Visualization
Thomas Carr, Depeng Xu, Shuhan Yuan 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.
egoEMOTION: Egocentric Vision and Physiological Signals for Emotion and Personality Recognition in Real-world Tasks
Matthias Jammot, Björn Braun, Paul Streli et al.
ART: Adaptive Relation Tuning for Generalized Relation Prediction
Gopika Sudhakaran, Hikaru Shindo, Patrick Schramowski et al.
Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation
Nairouz Mrabah, Nicolas Richet, Ismail Ayed et al.
WINS: Winograd Structured Pruning for Fast Winograd Convolution
Cheonjun Park, Hyunjae Oh, Mincheol Park 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
DuET: Dual Incremental Object Detection via Exemplar-Free Task Arithmetic
Munish Monga, Vishal Chudasama, Pankaj Wasnik et al.
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.
Population Normalization for Federated Learning
Zhuoyao Wang, Fan Yi, Peizhu Gong et al.
V2XScenes: A Multiple Challenging Traffic Conditions Dataset for Large-Range Vehicle-Infrastructure Collaborative Perception
Bowen Wang, Yafei Wang, Wei Gong et al.
SAM Encoder Breach by Adversarial Simplicial Complex Triggers Downstream Model Failures
Yi Qin, Rui Wang, Tao Huang et al.
A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks
Georgios Mentzelopoulos, Ioannis Asmanis, Konrad Kording 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.
Gaze-Language Alignment for Zero-Shot Prediction of Visual Search Targets from Human Gaze Scanpaths
Sounak Mondal, Naveen Sendhilnathan, Ting 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.
PUO-Bench: A Panel Understanding and Operation Benchmark with A Privacy-Preserving Framework
Wei LIN, Yiwei Zhou, Junkai Zhang et al.
Vision and Language Synergy for Rehearsal Free Continual Learning
Muhammad Anwar Masum, Mahardhika Pratama, Savitha Ramasamy et al.
LGA-Net: Learning Local and Global Affinities for Sparse Scribble based Image Colorization
Hongjin Lyu, Bo Li, Paul Rosin 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
AirCache: Activating Inter-modal Relevancy KV Cache Compression for Efficient Large Vision-Language Model Inference
Kai Huang, hao zou, Bochen Wang et al.
SeasonBench-EA: A Multi-Source Benchmark for Seasonal Prediction and Numerical Model Post-Processing in East Asia
Mengxuan Chen, Li, Zou Ziheng et al.
Simulating Viva Voce Examinations to Evaluate Clinical Reasoning in Large Language Models
Christopher Chiu, Silviu Pitis, Mihaela van der Schaar
Pay Attention to the Foreground in Object-Centric Learning
Pinzhuo Tian, Shengjie Yang, Hang Yu et al.
Interpretable and Parameter Efficient Graph Neural Additive Models with Random Fourier Features
Thummaluru Siddartha Reddy, Vempalli Naga Sai Saketh, Mahesh Chandran
Multi-Schema Proximity Network for Composed Image Retrieval
Jiangming Shi, Xiangbo Yin, yeyunchen yeyunchen 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.
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.
STSBench: A Large-Scale Dataset for Modeling Neuronal Activity in the Dorsal Stream of Primate Visual Cortex
Ethan Trepka, Ruobing Xia, Shude Zhu 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
Att-Adapter: A Robust and Precise Domain-Specific Multi-Attributes T2I Diffusion Adapter via Conditional Variational Autoencoder
Wonwoong Cho, Yan-Ying Chen, Matthew Klenk et al.
Through the Lens: Benchmarking Deepfake Detectors Against Moiré-Induced Distortions
Razaib Tariq, Minji Heo, Shahroz Tariq et al.
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.
ImageGem: In-the-wild Generative Image Interaction Dataset for Generative Model Personalization
Yuanhe Guo, Linxi Xie, Zhuoran Chen 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.
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.
Semantic Aware Representation Learning for Lifelong Learning
Fahad Sarfraz, Elahe Arani, Bahram Zonooz
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.
Face Retouching with Diffusion Data Generation and Spectral Restorement
Zhidan Xu, Xiaoqin Zhang, Shijian Lu
RA-BUSSeg: Relation-aware Semi-supervised Breast Ultrasound Image Segmentation via Adjacent Propagation and Cross-layer Alignment
Wanting ZHANG, Zhenhui Ding, Guilian Chen et al.
A compressive-expressive communication framework for compositional representations
Rafael Elberg, Felipe del Río, Mircea Petrache et al.
Learning Visual Proxy for Compositional Zero-Shot Learning
Shiyu Zhang, Cheng Yan, Yang Liu 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.
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.
An Effective Manifold-based Optimization Method for Distributionally Robust Classification
Jiawei Huang, Hu Ding
MambaExtend: A Training-Free Approach to Improve Long Context Extension of Mamba
Seyedarmin Azizi, Souvik Kundu, Mohammad Sadeghi et al.
Clink! Chop! Thud! - Learning Object Sounds from Real-World Interactions
Mengyu Yang, Yiming Chen, Haozheng Pei 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.
PF∆: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations
Ana Rivera Him, Anvita Bhagavathula, Alvaro Carbonero 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
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.
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.
Discovering Divergent Representations between Text-to-Image Models
Lisa Dunlap, Trevor Darrell, Joseph Gonzalez et al.
UltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes
Yuang Meng, Xin Jin, Lina Lei et al.
CPSea: Large-scale cyclic peptide-protein complex dataset for machine learning in cyclic peptide design
Ziyi Yang, Hanyuan Xie, Yinjun Jia et al.
Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
Ruiyang Lin, Yongyi Guo, Kyra Gan
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.
Robust Integrated Learning and Pauli Noise Mitigation for Parametrized Quantum Circuits
Md Mobasshir Arshed Naved, Wenbo Xie, Wojciech Szpankowski et al.
Mitigating Spurious Correlations in Zero-Shot Multimodal Models
Shenyu Lu, Junyi Chai, Xiaoqian Wang