Most Cited 2025 "real-time intention decoding" Papers
22,274 papers found • Page 104 of 112
Conference
Sample Complexity of Branch-length Estimation by Maximum Likelihood
David Clancy, Hanbaek Lyu, Sebastien Roch
Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries
Xuening Feng, Zhaohui Jiang, Timo Kaufmann et al.
SSUN-Net: Spatial-Spectral Prior-Aware Unfolding Network for Pan-Sharpening
Shijie Fang, Hongping Gan
Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
David Vigouroux, Joseba Dalmau, Louis Béthune et al.
CoSDA: Enhancing the Robustness of Inversion-based Generative Image Watermarking Framework
Han Fang, Kejiang Chen, Zijin Yang et al.
Robust Automatic Modulation Classification with Fuzzy Regularization
Xinyan Liang, Ruijie Sang, Yuhua Qian et al.
Volume-Aware Distance for Robust Similarity Learning
Shuo Chen, Chen Gong, Jun Li et al.
SOAP: Improving and Stabilizing Shampoo using Adam for Language Modeling
Nikhil Vyas, Depen Morwani, Rosie Zhao et al.
Position: Current Model Licensing Practices are Dragging Us into a Quagmire of Legal Noncompliance
Moming Duan, Mingzhe Du, Rui Zhao et al.
Diffusion Instruction Tuning
Chen Jin, Ryutaro Tanno, Amrutha Saseendran et al.
Vision-guided Text Mining for Unsupervised Cross-modal Hashing with Community Similarity Quantization
Haozhi Fan, Yuan Cao
IniRetinex: Rethinking Retinex-type Low-Light Image Enhancer via Initialization Perspective
Guodong Fan, Zishu Yao, Guang-Yong Chen et al.
RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations
Yushuai Li, Hengyu Liu, Torben Pedersen et al.
HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions
Keyu Du, Hao Xu, Haipeng Li et al.
Auto-reconfiguration for Latency Minimization in CPU-based DNN Serving
Ankit Bhardwaj, Amar Phanishayee, Deepak Narayanan et al.
Latent Diffusion-Enhanced Virtual Try-On via Optimized Pseudo-Label Generation
Chenghu Du, Junyin Wang, Feng Yu et al.
FairDen: Fair Density-Based Clustering
Lena Krieger, Anna Beer, Pernille Matthews et al.
Perceptually Constrained Precipitation Nowcasting Model
Wenzhi Feng, Xutao Li, Zhe Wu et al.
GarFast: Realistic and Fast Garment Transfer with a Simplified Parser-Free Approach
Chenghu Du, Junyin Wang, Yi Rong et al.
AS-Det: Active Sampling for Adaptive 3D Object Detection in Point Clouds
Ziheng Ding, Xiaze Zhang, Qi Jing et al.
QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles for model-monitoring
Nikhil Pratap Ghanathe, Steve Wilton
Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret
Bingshan Hu, Zhiming Huang, Tianyue Zhang et al.
R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models
Pengyi Li, Jianye Hao, Hongyao Tang et al.
Dis²Booth: Learning Image Distribution with Disentangled Features for Text-to-Image Diffusion Models
Guanqi Ding, Chengyu Yang, Shuhui Wang et al.
Occlusion-Insensitive Talking Head Video Generation via Facelet Compensation
Yuhui Deng, Yuqin Lu, Yangyang Xu et al.
Boundary-Aware Temporal Dynamic Pseudo-Supervision Pairs Generation for Zero-Shot Natural Language Video Localization
Xiongwen Deng, Haoyu Tang, Han Jiang et al.
Discrete and Continuous Difference of Submodular Minimization
George Orfanides, Tim Hoheisel, Marwa El Halabi
OTIAS: OcTree Implicit Adaptive Sampling for Multispectral and Hyperspectral Image Fusion
Shangqi Deng, Jun Ma, Liang-Jian Deng et al.
SOREL: A Stochastic Algorithm for Spectral Risks Minimization
Yuze Ge, Rujun Jiang
Improving Multi-Class Calibration through Normalization-Aware Isotonic Techniques
Alon Arad, Saharon Rosset
Adaptive Siamese Masked Autoencoder with Global Optimization for Unsupervised Point Cloud Shape Correspondence
Jiacheng Deng, Jiahao Lu
DiffCorr: Conditional Diffusion Model with Reliable Pseudo-Label Guidance for Unsupervised Point Cloud Shape Correspondence
Jiacheng Deng, Jiahao Lu, Zhixin Cheng et al.
Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation
Jingbo Sun, Songjun Tu, Qichao Zhang et al.
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
Charles Dawson, Van Tran, Max Li et al.
Login
I. Arce, Emiliano Kargieman, G. Richarte et al.
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Image Generation
Quan Dao, Hao Phung, Trung Tuan Dao et al.
Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate
Yifan Fang, Yifei Fang, Ruizhe Chen et al.
Straightness of Rectified Flow: A Theoretical Insight into Wasserstein Convergence
Saptarshi Roy, Vansh Bansal, Purnamrita Sarkar et al.
GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud
Tao Dai, Yanzi Wang, Jianyu Xiong et al.
MASS: Overcoming Language Bias in Image-Text Matching
Jiwan Chung, Seungwon Lim, Sangkyu Lee et al.
CoLa: Learning to Interactively Collaborate with Large Language Models
Abhishek Sharma, Dan Goldwasser
Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces
Wonhyeok Choi, Kyumin Hwang, Minwoo Choi et al.
SIDL: A Real-World Dataset for Restoring Smartphone Images with Dirty Lenses
Sooyoung Choi, Sungyong Park, Heewon Kim
CombiMOTS: Combinatorial Multi-Objective Tree Search for Dual-Target Molecule Generation
Thibaud Southiratn, Bonil Koo, Yijingxiu Lu et al.
Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation
Zesen Cheng, Kehan Li, Li Hao et al.
3DPGS: 3D Probabilistic Graph Search for Archaeological Piece Grouping
Junfeng Cheng, Yingkai Yang, Tania Stathaki
Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing
Jie Peng, Jenna Ballard, Mohan Zhang et al.
Variance as a Catalyst: Efficient and Transferable Semantic Erasure Adversarial Attack for Customized Diffusion Models
Jiachen Yang, Yusong Wang, Yanmei Fang et al.
$\texttt{I$^2$MoE}$: Interpretable Multimodal Interaction-aware Mixture-of-Experts
Jiayi Xin, Sukwon Yun, Jie Peng et al.
E$^2$-RAG: Towards Editable Efficient RAG by Editing Compressed KV Caches
Tongxu Luo, Wenyu Du, HanWen Hao et al.
VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis
Zhipeng Chen, Lan Yang, Yonggang Qi et al.
Stabilizing Sample Similarity in Representation via Mitigating Random Consistency
Jieting Wang, ZhangZelong Zhang, Feijiang Li et al.
On Explaining Equivariant Graph Networks via Improved Relevance Propagation
Hongyi Ling, Haiyang Yu, Zhimeng Jiang et al.
VFM-Adapter: Adapting Visual Foundation Models for Dense Prediction with Dynamic Hybrid Operation Mapping
Zheng Chen, Yu Zeng, Zehui Chen et al.
A new framework for evaluating model out-of-distribution generalisation for the biochemical domain
Raul Fernandez-Diaz, Hoang Thanh Lam, Vanessa Lopez et al.
EvHDR-GS: Event-guided HDR Video Reconstruction with 3D Gaussian Splatting
Zehao Chen, Zhan Lu, De Ma et al.
Unsupervised Diffusion-Based Degradation Modeling for Real-World Super-Resolution
Yuying Chen, Mingde Yao, Wenbo Li et al.
3D Measurement of Complex Textured Objects Based on Bidirectional Fringe Projection
Yuchong Chen, Jian Yu, Shaoyan Gai et al.
A Compact Model for Mathematics Problem Representations Distilled from BERT
Hao Ming, Xinguo Yu, Xiaotian Cheng et al.
NoWag: A Unified Framework for Shape Preserving Com- pression of Large Language Models
Lawrence Ray Liu, Inesh Chakrabarti, Yixiao Li et al.
Boltzmann Semantic Score: A Semantic Metric for Evaluating Large Vision Models Using Large Language Models
Ali Khajegili Mirabadi, Katherine Rich, Hossein Farahani et al.
ST-GCond: Self-supervised and Transferable Graph Dataset Condensation
Beining Yang, Qingyun Sun, Cheng Ji et al.
Active Reward Modeling: Adaptive Preference Labeling for Large Language Model Alignment
Yunyi Shen, Hao Sun, Jean-Francois Ton
Yourbench: Dynamic Evaluation Set Generation with LLMs
Sumuk Shashidhar, Clémentine Fourrier, Alina Lozovskaya et al.
TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting
Qihe Huang, Zhengyang Zhou, Kuo Yang et al.
DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models
Wei Chen, Jianwei Niu, Xuefeng Liu et al.
LawFlow: Collecting and Simulating Lawyers’ Thought Processes on Business Formation Case Studies
Debarati Das, Khanh Chi Le, Ritik Sachin Parkar et al.
Traceable and Explainable Multimodal Large Language Models: An Information-Theoretic View
Zihan Huang, Junda Wu, Rohan Surana et al.
Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution
Sen Chen, Hongying Liu, Chaowei Fang et al.
Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning
Abhay Yadav
Infinite-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation
Qihua Chen, Yue Ma, Hongfa Wang et al.
Positive-unlabeled AUC Maximization under Covariate Shift
Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi et al.
Learning Robust Neural Processes with Risk-Averse Stochastic Optimization
Huafeng Liu, Yiran Fu, Liping Jing et al.
Contrasting Adversarial Perturbations: The Space of Harmless Perturbations
Lu Chen, Shaofeng Li, Benhao Huang et al.
REFA: Reference Free Alignment with Fine-Grained Length Control
Taneesh Gupta, Rahul Madhavan, Xuchao Zhang et al.
Position: Language model developers should report train-test overlap
Andy Zhang, Kevin Klyman, Yifan Mai et al.
Private Mechanism Design via Quantile Estimation
Yuanyuan Yang, Tao Xiao, Bhuvesh Kumar et al.
Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification
Jie Chen, Xinyuan Liu, Xintong Liu et al.
AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data
Tuan Truong, Rithwik Sudharsan, Yibo Yang et al.
Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence Criterion
Haipeng Chen, Yuheng Yang, Yingda Lyu
Controlling Equational Reasoning in Large Language Models with Prompt Interventions
Jordan Meadows, Marco Valentino, André Freitas
A Non-isotropic Time Series Diffusion Model with Moving Average Transitions
Chenxi Wang, Linxiao Yang, Zhixian Wang et al.
KeyGS: A Keyframe-Centric Gaussian Splatting Method for Monocular Image Sequences
Keng-Wei Chang, Zi-Ming Wang, Shang-Hong Lai
Deep Graph Online Hashing for Multi-Label Image Retrieval
Yuan Cao, Xiangru Chen, Zifan Liu et al.
Feature Importance Metrics in the Presence of Missing Data
Henrik von Kleist, Joshua Wendland, Ilya Shpitser et al.
Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue
Shuo Cai, Xinzhe Han, Shuhui Wang
ONLINE EPSILON NET & PIERCING SET FOR GEOMETRIC CONCEPTS
Sujoy Bhore, Devdan Dey, Satyam Singh
Synthetic Data Generation and Multi-Step Reinforcement Learning for Reasoning and Tool Use
Anna Goldie, Azalia Mirhoseini, Hao Zhou et al.
Readability ≠ Learnability: Rethinking the Role of Simplicity in Training Small Language Models
Ivan Lee, Taylor Berg-Kirkpatrick
Symmetry-Aware GFlowNets
Hohyun Kim, Seunggeun Lee, Min-hwan Oh
Dual Manifold Regularization Steered Robust Representation Learning for Point Cloud Analysis
Jian Bi, Qianliang Wu, Jianjun Qian et al.
MSRS: Evaluating Multi-Source Retrieval-Augmented Generation
Rohan Phanse, Ej Zhou, Kejian Shi et al.
Frozen Language Models Are Gradient Coherence Rectifiers in Vision Transformers
Lichen Bai, Zixuan Xiong, Hai Lin et al.
CA-MLIF: Cross-Attention and Multimodal Low-Rank Interaction Fusion Framework for Tumor Prognostic Prediction
Yajun An, Jiale Chen, Huan Lin et al.
Trustworthy Machine Learning through Data-Specific Indistinguishability
Hanshen Xiao, Zhen Yang, Edward Suh
DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications
Ibrahim Fayad, Max Zimmer, Martin Schwartz et al.
Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting
RISHI JINKA, Venkata Sai Mothish Gonugunta, Deepak N. Subramani
Disparate Conditional Prediction in Multiclass Classifiers
Sivan Sabato, Eran Treister, Elad Yom-Tov
ILLUSION: Unveiling Truth with a Comprehensive Multi-Modal, Multi-Lingual Deepfake Dataset
Kartik Thakral, Rishabh Ranjan, Akanksha Singh et al.
Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning
Xiaorui Peng, Yuheng Jia, Fuchao Yang et al.
Adaptive Partitioning Schemes for Optimistic Optimization
Raja Sunkara, Ardhendu Tripathy
QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions
Xinyu Yang, Tom Zollo, Benjamin Eyre et al.
ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence
Guanghui Wang, Zhiyong Yang, Zitai Wang et al.
AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification
Shivang Agarwal, Jyoti Chaudhary, Sadiq Siraj Ebrahim et al.
REMEDY: Recipe Merging Dynamics in Large Vision-Language Models
Didi Zhu, Yibing Song, tao shen et al.
Models trained with unnormalized density functions: A need for a course correction
Rishal Aggarwal, Daniel Penaherrera, Justin Shao et al.
Improving Model Alignment Through Collective Intelligence of Open-Source Models
Junlin Wang, Roy Xie, Shang Zhu et al.
GradPS: Resolving Futile Neurons in Parameter Sharing Network for Multi-Agent Reinforcement Learning
Haoyuan Qin, Zhengzhu Liu, Chenxing Lin et al.
Do We Really Need Message Passing in Brain Network Modeling?
Liang Yang, Yuwei Liu, Jiaming Zhuo et al.
How to visualize training dynamics in neural networks
Michael Hu, Shreyans Jain, Sangam Chaulagain et al.
HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation
Han Yang, Chuanguang Yang, Zhulin An et al.
Progressive Self-Learning for Domain Adaptation on Symbolic Regression of Integer Sequences
Yaohui Zhu, Kaiming Sun, Zhengdong Luo et al.
Towards Memorization Estimation: Fast, Formal and Free
Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi et al.
Aspect Enhancement and Text Simplification in Multimodal Aspect-Based Sentiment Analysis for Multi-Aspect and Multi-Sentiment Scenarios
Linlin Zhu, Heli Sun, Qunshu Gao et al.
SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution
Wenwen He, Wenke Huang, Bin Yang et al.
PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation
Hengde Zhu, Xiangyu Kong, Weicheng Xie et al.
Attributive Reasoning for Hallucination Diagnosis of Large Language Models
Yuyan Chen, Zehao Li, Shuangjie You et al.
Look Around Before Locating: Considering Content and Structure Information for Visual Grounding
Shiyi Zheng, Peizhi Zhao, Zhilong Zheng et al.
How do we interpret the outputs of a neural network trained on classification?
Yudi Xie
SalM²: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention
Chunyu Zhao, Wentao Mu, Xian Zhou et al.
Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization
Miao Zhang, Jiawei Wang, Kui Xiao et al.
KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics
Jindou Chen, Jidong Tian, Liang Wu et al.
Extendable and Iterative Structure Learning Strategy for Bayesian Networks
Hamid Kalantari, Russell Greiner, Pouria Ramazi
Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning
Zhiyuan Ma, Zhenya Huang, Jiayu Liu et al.
Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement
Yuheng Jing, Kai Li, Bingyun Liu et al.
Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing
DingYi Zeng, Yuchen Wang, Honglin Cao et al.
Context-Informed Neural ODEs Unexpectedly Identify Broken Symmetries: Insights from the Poincaré–Hopf Theorem
In Huh, Changwook Jeong, Muhammad Alam
PIN: Prolate Spheroidal Wave Function-based Implicit Neural Representations
Viraj Dhananjaya Bandara Jayasundara Jayasundara Mudiyanselage, Heng Zhao, Demetrio Labate et al.
DepMGNN: Matrixial Graph Neural Network for Video-based Automatic Depression Assessment
Zijian Wu, Leijing Zhou, Shuanglin Li et al.
The Underlying Universal Statistical Structure of Natural Datasets
Noam Levi, Yaron Oz
Efficient Top-m Data Values Identification for Data Selection
Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng et al.
DDJND: Dual Domain Just Noticeable Difference in Multi-Source Content Images with Structural Discrepancy
Miaohui Wang, Zhenming Li, Wuyuan Xie
Alignment of CNN and Human Judgments of Geometric and Topological Concepts
Neha Upadhyay, Vijay Marupudi, Kamala Varma et al.
Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization
Adithya Pratapa, Teruko Mitamura
A Multi-Focus-Driven Multi-Branch Network for Robust Multimodal Sentiment Analysis
Chuanqi Tao, Jiaming Li, Tianzi Zang et al.
Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton
Chengmei Niu, Zhenyu Liao, Zenan Ling et al.
CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark
Marcus Ma, Duong Minh Le, Junmo Kang et al.
Robust Secure Swap: Responsible Face Swap With Persons of Interest Redaction and Provenance Traceability
Yunshu Dai, Jianwei Fei, Fangjun Huang et al.
Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data
Yuxuan Song, Qiudan Li, Yilin Wu et al.
GTR: A General, Multi-View, and Dynamic Framework for Trajectory Representation Learning
Xiangheng Wang, Ziquan Fang, Chenglong Huang et al.
SmolLM2: When Smol Goes Big — Data-Centric Training of a Fully Open Small Language Model
Loubna Ben allal, Anton Lozhkov, Elie Bakouch et al.
SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks
Wei Miao, Jiangrong Shen, Qi Xu et al.
Stop-Think-AutoRegress: Language Modeling with Latent Diffusion Planning
Justin Lovelace, Christian K Belardi, Sofian Zalouk et al.
Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition Through Contrastive Learning
Yan-Kai Liu, Jinyu Cai, Bao-Liang Lu et al.
Do NOT Think That Much for 2+3=? On the Overthinking of Long Reasoning Models
Xingyu Chen, Jiahao Xu, Tian Liang et al.
Towards Better-than-2 Approximation for Constrained Correlation Clustering
Andreas Kalavas, Evangelos Kipouridis, Nithin Varma
Towards More Discriminative Feature Learning in SNNs with Temporal-Self-Erasing Supervision
Wei Liu, Li Yang, Mingxuan Zhao et al.
BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection
Xuan Luo, Li Yang, Han Zhang et al.
MI-CAPTCHA: Enhance the Security of CAPTCHA Using Mooney Images
Jingmeng Li, Lukang Fu, Surun Yang et al.
Deep Reinforcement Learning with Time-Scale Invariant Memory
Md Rysul Kabir, James Mochizuki-Freeman, Zoran Tiganj
ABNet: Adaptive explicit-Barrier Net for Safe and Scalable Robot Learning
Wei Xiao, Johnson Tsun-Hsuan Wang, Chuang Gan et al.
Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition
Yufan Hu, Jiang, Wuyang Li et al.
DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
Changyi He, Yifu Ding, Jinyang Guo et al.
DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval
Penghao Lu, Xin Dong, Yuansheng Zhou et al.
MissScore: High-Order Score Estimation in the Presence of Missing Data
Wenqin Liu, Haoze Hou, Erdun Gao et al.
MGD$^3$ : Mode-Guided Dataset Distillation using Diffusion Models
Jeffrey A. Chan-Santiago, praveen tirupattur, Gaurav Kumar Nayak et al.
Reasoning Models Know When They’re Right: Probing Hidden States for Self-Verification
Anqi Zhang, Yulin Chen, Jane Pan et al.
MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training
Yang Luo, Zangwei Zheng, Ziheng Qin et al.
Online Laplacian-Based Representation Learning in Reinforcement Learning
Maheed Ahmed, Jayanth Bhargav, Mahsa Ghasemi
SAND: One-Shot Feature Selection with Additive Noise Distortion
Pedram Pad, Hadi Hammoud, Mohamad Dia et al.
Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints
Hengquan Guo, Lingkai Zu, Xin Liu
AFFAKT: A Hierarchical Optimal Transport Based Method for Affective Facial Knowledge Transfer in Video Deception Detection
Zihan Ji, Xuetao Tian, Ye Liu
DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing
Alexander Bienstock, Ujjwal Kumar, Antigoni Polychroniadou
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
Zichong Li, Chen Liang, Zixuan Zhang et al.
CheapNet: Cross-attention on Hierarchical representations for Efficient protein-ligand binding Affinity Prediction
Hyukjun Lim, Sun Kim, Sangseon Lee
Unpaired Point Cloud Completion via Unbalanced Optimal Transport
Taekyung Lee, Jaemoo Choi, Jaewoong Choi et al.
CraftFactory: A Conditioned Control Policy Benchmark for Compositional Generalization
Jinbing Hou, Youpeng Zhao, Jian Zhao
MSAmba: Exploring Multimodal Sentiment Analysis with State Space Models
Xilin He, Haijian Liang, Boyi Peng et al.
Hell or High Water: Evaluating Agentic Recovery from External Failures
Andrew Wang, Sophia Hager, Adi Asija et al.
Symbolic Functional Decomposition: A Reconfiguration Approach
Mateus de Oliveira Oliveira, Wim Van Den Broeck
Dynamic Interactive Bimodal Hypergraph Networks for Emotion Recognition in Conversations
Xuping Chen, Wuzhen Shi
Reinforced Learning Explicit Circuit Representations for Quantum State Characterization from Local Measurements
Manwen Liao, Yan Zhu, Weitian Zhang et al.
Text-Guided Fine-grained Counterfactual Inference for Short Video Fake News Detection
Linlin Zong, Wenmin Lin, Jiahui Zhou et al.
TexTailor: Customized Text-aligned Texturing via Effective Resampling
Suin Lee, DAE SHIK KIM
Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition
Zesheng Liu, Qiannan Zhu, Cuiping Li et al.
Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration
Qintong Li, Jiahui Gao, Sheng Wang et al.
Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees
Tomer Meir, Uri Shalit, Malka Gorfine
Staged and Physics-Grounded Learning Framework with Hyperintensity Prior for Pre-Contrast MRI Synthesis
Dayang Wang, Srivathsa Pasumarthi Venkata, Ajit Shankaranarayanan et al.
Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs
Thomas Pethick, Ioannis Mavrothalassitis, Volkan Cevher
DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement
Qihua Zhou, Ruibin Li, Jingcai Guo et al.
From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning
Jinyu Wang, Jingjing Fu, Rui Wang et al.
SSHR: More Secure Generative Steganography with High-Quality Revealed Secret Images
Jiannian Wang, Yao Lu, Guangming Lu
FlexControl: Computation-Aware Conditional Control with Differentiable Router for Text-to-Image Generation
Zheng Fang, Lichuan Xiang, Xu Cai et al.
Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model
Guanhao Zhao, Zhenya Huang, Cheng Cheng et al.
A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy
Zhenbang Zhang, Hongjia Li, Zhiqiang Xu et al.
Channel Normalization for Time Series Channel Identification
Seunghan Lee, Taeyoung Park, Kibok Lee
Conformity Score Averaging for Classification
Rui Luo, Zhixin Zhou
PAT: Pruning-Aware Tuning for Large Language Models
Yijiang Liu, Huanrui Yang, Youxin Chen et al.
Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting
Yudong Zhang, Xu Wang, Xuan Yu et al.
Formal Synthesis of Barrier Certificates Using Fourier Kolmogorov-Arnold Network
Xiongqi Zhang, Junwei Xu, Yang Wang et al.
Impact of LLM Alignment on Impression Formation in Social Interactions
Ala N. Tak, Anahita Bolourani, Daniel B. Shank et al.
Retri3D: 3D Neural Graphics Representation Retrieval
Yushi Guan, Daniel Kwan, Jean Dandurand et al.
Breakpoint: Stress-testing systems-level reasoning in LLM agents
Kaivalya Hariharan, Uzay Girit, Zifan Wang et al.
Nonconvex Theory of $M$-estimators with Decomposable Regularizers
Weiwei Liu
TC-Diffuser: Bi-Condition Multi-Modal Diffusion for Tropical Cyclone Forecasting
Shiqi Zhang, Pan Mu, Cheng Huang et al.
Evolving Minds: Logic-Informed Inference from Temporal Action Patterns
Chao Yang, Shuting Cui, Yang Yang et al.
Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction
Ran Zhang, Xuezhi Wang, Guannan Liu et al.
Rhapsody: A Dataset for Highlight Detection in Podcasts
Younghan Park, Anuj Diwan, David Harwath et al.
BERT-Based Code Learning for Exception Localization and Type Prediction
Chongyu Zhang, Qiping Tao, Liangyu Chen et al.
Hidden No More: Attacking and Defending Private Third-Party LLM Inference
Rahul Thomas, Louai Zahran, Erica Choi et al.