Most Cited 2025 "forward matrix deduction" Papers
21,856 papers found • Page 106 of 110
Conference
CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning
Hao Cui, Zahra Shamsi, Gowoon Cheon et al.
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
Xin Wang, Yu Zheng, Zhongwei Wan et al.
Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond
Giuseppe Serra, Florian Buettner
Diversity-Rewarded CFG Distillation
Geoffrey Cideron, Andrea Agostinelli, Johan Ferret et al.
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Chankyu Lee, Rajarshi Roy, Mengyao Xu et al.
GenXD: Generating Any 3D and 4D Scenes
Yuyang Zhao, Chung-Ching Lin, Kevin Lin et al.
Meta-Continual Learning of Neural Fields
Seungyoon Woo, Junhyeog Yun, Gunhee Kim
Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving
Xiang Li, Pengfei Li, Yupeng Zheng et al.
DPLM-2: A Multimodal Diffusion Protein Language Model
Xinyou Wang, Zaixiang Zheng, Fei YE et al.
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
Hourun Li, Yifan Wang, Zhiping Xiao et al.
Disentangled Contrastive Bundle Recommendation with Conditional Diffusion
Jiuqiang Li
Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis
Weiwei Lin, Chenhang HE
Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context
Spencer Frei, Gal Vardi
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning
Haotian Zhang, Mingfei Gao, Zhe Gan et al.
NarrativeBridge: Enhancing Video Captioning with Causal-Temporal Narrative
Asmar Nadeem, Faegheh Sardari, Robert Dawes et al.
Exploring Local Memorization in Diffusion Models via Bright Ending Attention
Chen Chen, Daochang Liu, Mubarak Shah et al.
Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank
Wenhao Zhan, Scott Fujimoto, Zheqing Zhu et al.
Towards Generalization Bounds of GCNs for Adversarially Robust Node Classification
Wen Wen, Han Li, Tieliang Gong et al.
TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics
Lu Yi, Jie Peng, Yanping Zheng et al.
Process Reward Model with Q-value Rankings
Wendi Li, Yixuan Li
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
Fanghua Yu, Jinjin Gu, Jinfan Hu et al.
Efficient Cross-Episode Meta-RL
Gresa Shala, André Biedenkapp, Pierre Krack et al.
Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding
Jinbiao Chen, Zhiguang Cao, Jiahai Wang et al.
RB-Modulation: Training-Free Stylization using Reference-Based Modulation
Litu Rout, Yujia Chen, Nataniel Ruiz et al.
Single Teacher, Multiple Perspectives: Teacher Knowledge Augmentation for Enhanced Knowledge Distillation
Md Imtiaz Hossain, Sharmen Akhter, Choong Seon Hong et al.
Your Weak LLM is Secretly a Strong Teacher for Alignment
Leitian Tao, Yixuan Li
CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts
Jihye Choi, Jayaram Raghuram, Yixuan Li et al.
Lean-STaR: Learning to Interleave Thinking and Proving
Haohan Lin, Zhiqing Sun, Sean Welleck et al.
Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures
Yiming Chen, Yuan Zhang, Liyuan Cao et al.
4K4DGen: Panoramic 4D Generation at 4K Resolution
Renjie Li, Panwang Pan, Bangbang Yang et al.
Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning
Chongjie Si, Zhiyi Shi, Shifan Zhang et al.
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning
Lequan Lin, Dai Shi, Andi Han et al.
When Graph Neural Networks Meet Dynamic Mode Decomposition
Dai Shi, Lequan Lin, Andi Han et al.
DINOv2: Learning Robust Visual Features without Supervision
Pierre Fernandez, Piotr Bojanowski, Gabriel Synnaeve et al.
Uncertainty Herding: One Active Learning Method for All Label Budgets
Wonho Bae, Danica Sutherland, Gabriel Oliveira
$q$-exponential family for policy optimization
Lingwei Zhu, Haseeb Shah, Han Wang et al.
SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection
Han Shen, Pin-Yu Chen, Payel Das et al.
Addressing Label Shift in Distributed Learning via Entropy Regularization
Zhiyuan Wu, Changkyu Choi, Xiangcheng Cao et al.
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights
Aiwei Liu, Haoping Bai, Zhiyun Lu et al.
Cross-Entropy Is All You Need To Invert the Data Generating Process
Patrik Reizinger, Alice Bizeul, Attila Juhos et al.
In Search of Forgotten Domain Generalization
Prasanna Mayilvahanan, Roland Zimmermann, Thaddäus Wiedemer et al.
Towards Hierarchical Rectified Flow
Yichi Zhang, Yici Yan, Alex Schwing et al.
Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning
Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar et al.
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao et al.
HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models
Hayk Manukyan, Andranik Sargsyan, Barsegh Atanyan et al.
Relax and Merge: A Simple Yet Effective Framework for Solving Fair $k$-Means and $k$-sparse Wasserstein Barycenter Problems
Shihong Song, Guanlin Mo, Hu Ding
To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation
Wanlin Zhang, Weichen Lin, Ruomin Huang et al.
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
Yiqin Yang, Quanwei Wang, Chenghao Li et al.
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning
Yichao Liang, Nishanth Kumar, Hao Tang et al.
Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning
Giseung Park, Youngchul Sung
SPD Attack - Prevention of AI Powered Image Editing by Image Immunization
Parth Badgujar, Shorya Singhal, Devansh Bhardwaj
Value-aligned Behavior Cloning for Offline Reinforcement Learning via Bi-level Optimization
Xingyu Jiang, Ning Gao, Xiuhui Zhang et al.
Hybrid Regularization Improves Diffusion-based Inverse Problem Solving
Hongkun Dou, Zeyu Li, Jinyang Du et al.
OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
Shubham Toshniwal, Wei Du, Ivan Moshkov et al.
HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining
Minjae Jeong, Yechan Hwang, Jaejin Lee et al.
Logic-Logit: A Logic-Based Approach to Choice Modeling
Shuhan Zhang, Wendi Ren, Shuang Li
Learning Evolving Tools for Large Language Models
Guoxin Chen, Zhong Zhang, Xin Cong et al.
Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds
Shuangqi Li, Hieu Le, Jingyi Xu et al.
Robust Representation Consistency Model via Contrastive Denoising
jiachen lei, Julius Berner, Jiongxiao Wang et al.
Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
Amin Karimi Monsefi, Mengxi Zhou, Nastaran Monsefi et al.
OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees
Kaiyan Zhang, Jiayuan Zhang, Haoxin Li et al.
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
Guanting Dong, Keming Lu, Chengpeng Li et al.
CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness
Khyathi Chandu, Linjie Li, Anas Awadalla et al.
Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation
Jiahao Cui, Hui Li, Yao Yao et al.
GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians
Shuyi Jiang, Qihao Zhao, Hossein Rahmani et al.
Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning
HyunKyu Lee, Sung Whan Yoon
Integral Performance Approximation for Continuous-Time Reinforcement Learning Control
Brent Wallace, Jennie Si
A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules
Shih-Hsin Wang, Yuhao Huang, Justin Baker et al.
Efficient Perplexity Bound and Ratio Matching in Discrete Diffusion Language Models
Etrit Haxholli, Yeti Z. Gurbuz, Oğul Can et al.
Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification
Santiago Cortes-Gomez, Carlos Patiño, Yewon Byun et al.
Uncovering Overfitting in Large Language Model Editing
Mengqi Zhang, Xiaotian Ye, Qiang Liu et al.
ParetoFlow: Guided Flows in Multi-Objective Optimization
Ye Yuan, Can Chen, Christopher Pal et al.
HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks
Jiuding Sun, Jing Huang, Sidharth Baskaran et al.
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification
Yunzhen Feng, Elvis Dohmatob, Pu Yang et al.
GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers
Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang et al.
Agent-to-Sim: Learning Interactive Behavior Models from Casual Longitudinal Videos
Gengshan Yang, Andrea Bajcsy, Shunsuke Saito et al.
MAPS: Advancing Multi-Modal Reasoning in Expert-Level Physical Science
Erle Zhu, Yadi Liu, Zhe Zhang et al.
Scaling Long Context Training Data by Long-Distance Referrals
Yonghao Zhuang, Lanxiang Hu, Longfei Yun et al.
AutoBencher: Towards Declarative Benchmark Construction
XIANG LI, Farzaan Kaiyom, Evan Liu et al.
Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study
Shawn Tan, Songlin Yang, Aaron Courville et al.
Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leaps
Han Wang, Yilin Zhao, Dian Li et al.
How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
Yinuo Ren, Haoxuan Chen, Grant Rotskoff et al.
ODE-based Smoothing Neural Network for Reinforcement Learning Tasks
Yinuo Wang, Wenxuan Wang, Xujie Song et al.
What is Wrong with Perplexity for Long-context Language Modeling?
Lizhe Fang, Yifei Wang, Zhaoyang Liu et al.
Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness
Baolong Bi, Shenghua Liu, Yiwei Wang et al.
Residual Kernel Policy Network: Enhancing Stability and Robustness in RKHS-Based Reinforcement Learning
Yixian Zhang, Huaze Tang, Huijing Lin et al.
Doubly robust identification of treatment effects from multiple environments
Piersilvio De Bartolomeis, Julia Kostin, Javier Abad et al.
Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems
Ruochen Jiao, Shaoyuan Xie, Justin Yue et al.
Factor Graph-based Interpretable Neural Networks
Yicong Li, Kuanjiu Zhou, Shuo Yu et al.
ProteinBench: A Holistic Evaluation of Protein Foundation Models
Fei YE, Zaixiang Zheng, Dongyu Xue et al.
Enhancing Prediction Performance through Influence Measure
Shuguang Yu, Wenqian Xu, Xinyi Zhou et al.
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
Chenhang Cui, An Zhang, Yiyang Zhou et al.
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
Peng Xia, Siwei Han, Shi Qiu et al.
Learning LLM-as-a-Judge for Preference Alignment
Ziyi Ye, Xiangsheng Li, Qiuchi Li et al.
Reliable and Diverse Evaluation of LLM Medical Knowledge Mastery
Yuxuan Zhou, Xien Liu, Chen Ning et al.
Step-Calibrated Diffusion for Biomedical Optical Image Restoration
Yiwei Lyu, Sung Jik Cha, Cheng Jiang et al.
Learning Graph Quantized Tokenizers
Limei Wang, Kaveh Hassani, Si Zhang et al.
PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration
Yuxuan Sun, Yunlong Zhang, Yixuan Si et al.
From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ
Zhaojing Wen, Qiulin Zhang, Yuan Zhang et al.
Scaling Large Language Model-based Multi-Agent Collaboration
Chen Qian, Zihao Xie, YiFei Wang et al.
Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models
Lin Zhu, Xinbing Wang, Chenghu Zhou et al.
When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction
Zhenchang Xing, Yang Liu, Zhuo Cheng et al.
Quantifying Generalization Complexity for Large Language Models
Zhenting Qi, Hongyin Luo, Xuliang Huang et al.
Multi-Reward as Condition for Instruction-based Image Editing
Xin Gu, Ming Li, Libo Zhang et al.
A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems
Shulan Zhu, Chenglong Bao, Defeng Sun et al.
A Benchmark for Semantic Sensitive Information in LLMs Outputs
Qingjie Zhang, Han Qiu, Di Wang et al.
Lipschitz Bandits in Optimal Space
Xiaoyi Zhu, Zengfeng Huang
TEASER: Token Enhanced Spatial Modeling for Expressions Reconstruction
Yunfei Liu, Lei Zhu, Lijian Lin et al.
Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization
Shuang Liu, Yihan Wang, Yifan Zhu et al.
GROOT-2: Weakly Supervised Multimodal Instruction Following Agents
Shaofei Cai, Bowei Zhang, Zihao Wang et al.
Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
Zhihai Wang, Jie Wang, Xilin Xia et al.
Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement
Xueyao Zhang, Xiaohui Zhang, Kainan Peng et al.
OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces
zehan wang, Ziang Zhang, Minjie Hong et al.
RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction
Tanqiu Jiang, Zian Wang, Jiacheng Liang et al.
Sort-free Gaussian Splatting via Weighted Sum Rendering
Qiqi Hou, Randall Rauwendaal, Zifeng Li et al.
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist
Zihao Zhou, Shudong Liu, Maizhen Ning et al.
Gyrogroup Batch Normalization
Ziheng Chen, Yue Song, Xiaojun Wu et al.
ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning
Zihan Ye, Shreyank Gowda, Shiming Chen et al.
GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision
Zihui Zhang, Yafei YANG, Hongtao Wen et al.
QP-SNN: Quantized and Pruned Spiking Neural Networks
Wenjie Wei, Malu Zhang, Zijian Zhou et al.
TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
Lijie Yang, Zhihao Zhang, Zhuofu Chen et al.
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
Weize Chen, Ziming You, Ran Li et al.
Adam-mini: Use Fewer Learning Rates To Gain More
Yushun Zhang, Congliang Chen, Ziniu Li et al.
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
Zirui Zhao, Hanze Dong, Amrita Saha et al.
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
Ziru Chen, Shijie Chen, Yuting Ning et al.
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
Sangmin Bae, Adam Fisch, Hrayr Harutyunyan et al.
Teaching LLMs How to Learn with Contextual Fine-Tuning
Younwoo Choi, Muhammad Adil Asif, Ziwen Han et al.
Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation
Yongxian Wei, Zixuan Hu, Li Shen et al.
Towards counterfactual fairness through auxiliary variables
Bowei Tian, Ziyao Wang, Shwai He et al.
Towards Continuous Reuse of Graph Models via Holistic Memory Diversification
Ziyue Qiao, Junren Xiao, Qingqiang Sun et al.
Cauchy-Schwarz Regularizers
Sueda Taner, Ziyi Wang, Christoph Studer
INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning
Yuqian Fu, Yuanheng Zhu, Jian Zhao et al.
FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models
Zhanwei Zhang, Shizhao Sun, Wenxiao Wang et al.
Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach
Sinan Fan, Liang Xie, Chen Shen et al.
Discriminator-Guided Embodied Planning for LLM Agent
Haofu Qian, Chenjia Bai, Jiatao Zhang et al.
Controllable Unlearning for Image-to-Image Generative Models via $\epsilon$-Constrained Optimization
XiaoHua Feng, Yuyuan Li, Chaochao Chen et al.
Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding
Yanming Liu, Xinyue Peng, Jiannan Cao et al.
Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention
Tongzhou Liao, Barnabás Póczos
Generation and Comprehension Hand-in-Hand: Vision-guided Expression Diffusion for Boosting Referring Expression Generation and Comprehension
Jingcheng Ke, Jun-Cheng Chen, I-Hong Jhuo et al.
Sketch2Diagram: Generating Vector Diagrams from Hand-Drawn Sketches
Itsumi Saito, Haruto Yoshida, Keisuke Sakaguchi
BP-Modified Local Loss for Efficient Training of Deep Neural Networks
REN Lianhai, Qianxiao Li
DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models
Zeping Min, Xinshang Wang
Improving Neural Network Accuracy by Concurrently Training with a Twin Network
Benjamin Vandersmissen, Lucas Deckers, Jose Oramas
Iterative Sparse Attention for Long-sequence Recommendation
Guanyu Lin, Jinwei Luo, Yinfeng Li et al.
Coherency Improved Explainable Recommendation via Large Language Model
Shijie Liu, Ruixin Ding, Weihai Lu et al.
Designing Concise ConvNets with Columnar Stages
Ashish Kumar, Jaesik Park
Local convergence of simultaneous min-max algorithms to differential equilibrium on Riemannian manifold
Sixin Zhang
Policy Optimization under Imperfect Human Interactions with Agent-Gated Shared Autonomy
Zhenghai Xue, Bo An, Shuicheng YAN
On the Optimal Memorization Capacity of Transformers
Tokio Kajitsuka, Issei Sato
Do Stochastic, Feel Noiseless: Stable Stochastic Optimization via a Double Momentum Mechanism
Tehila Dahan, Kfir Y Levy
Reexamining the Aleatoric and Epistemic Uncertainty Dichotomy
Michael Kirchhof, Gjergji Kasneci, Enkelejda Kasneci
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions
Yan Ru Pei
How Feature Learning Can Improve Neural Scaling Laws
Blake Bordelon, Alexander Atanasov, Cengiz Pehlevan
Multi-LLM-Agents Debate - Performance, Efficiency, and Scaling Challenges
Hangfan Zhang, Zhiyao Cui, Qiaosheng Zhang et al.
Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale
Alaa Khaddaj, Logan Engstrom, Aleksander Madry
Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness
Xianglu Wang, Hu Ding
Can LLM Simulations Truly Reflect Humanity? A Deep Dive
Qian Wang, Zhenheng Tang, Bingsheng He
Multi-objective antibody design with constrained preference optimization
Milong Ren, ZaiKai He, Haicang Zhang
Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection
Hao Guo, Zihan Ma, Zhi Zeng et al.
Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning
Zehua Han, Jing Xiao, Qirui Zhao et al.
Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models
Haoran Li, Yulin Chen, Zihao Zheng et al.
ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area
Junxian Li, Di Zhang, Xunzhi Wang et al.
Critical Forgetting-Based Multi-Scale Disentanglement for Deepfake Detection
Kai Li, Wenqi Ren, Jianshu Li et al.
Enhancing the Adversarial Robustness via Manifold Projection
Zhiting Li, Shibai Yin, Tai-Xiang Jiang et al.
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy
Jian-Ping Mei, Weibin Zhang, Jie Chen et al.
Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting
Gaozheng Pei, Shaojie Lyu, Ke Ma et al.
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
Feng Shibo, Peilin Zhao, Liu Liu et al.
Embedding Robust Watermarking into Pattern to Protect the Copyright of Ceramic Artifacts
Lei Tan, Yuliang Xue, Guobiao Li et al.
PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration
Jia Wang, Liyan Zhu, Zhe Wang et al.
VisRec: A Semi-Supervised Approach to Visibility Data Reconstruction in Radio Astronomy
Ruoqi Wang, Haitao Wang, Qiong Luo et al.
DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations
Yongxin Xu, Xinke Jiang, Xu Chu et al.
Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model
Haozhen Zhang, Haodong Yue, Xi Xiao et al.
Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction
Ran Zhang, Xuezhi Wang, Guannan Liu et al.
DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement
Qihua Zhou, Ruibin Li, Jingcai Guo et al.
Text-Guided Fine-grained Counterfactual Inference for Short Video Fake News Detection
Linlin Zong, Wenmin Lin, Jiahui Zhou et al.
AFFAKT: A Hierarchical Optimal Transport Based Method for Affective Facial Knowledge Transfer in Video Deception Detection
Zihan Ji, Xuetao Tian, Ye Liu
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism
Yu Liang, Wenjie Wei, Ammar Belatreche et al.
Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data
Yuxuan Song, Qiudan Li, Yilin Wu et al.
Alignment of CNN and Human Judgments of Geometric and Topological Concepts
Neha Upadhyay, Vijay Marupudi, Kamala Varma et al.
Look Around Before Locating: Considering Content and Structure Information for Visual Grounding
Shiyi Zheng, Peizhi Zhao, Zhilong Zheng et al.
Bridge Then Begin Anew: Generating Target-Relevant Intermediate Model for Source-Free Visual Emotion Adaptation
Jiankun Zhu, Sicheng Zhao, Jing Jiang et al.
Frozen Language Models Are Gradient Coherence Rectifiers in Vision Transformers
Lichen Bai, Zixuan Xiong, Hai Lin et al.
Plug-and-Play Tri-Branch Invertible Block for Image Rescaling
Jingwei Bao, Jinhua Hao, Pengcheng Xu et al.
Dual Manifold Regularization Steered Robust Representation Learning for Point Cloud Analysis
Jian Bi, Qianliang Wu, Jianjun Qian et al.
CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training
Xiuli Bi, Jian Lu, Bo Liu et al.
Zero-shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model
Cong Cao, Huanjing Yue, Xin Liu et al.
Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation
Haipeng Chen, Sifan Wu, Zhigang Wang et al.
Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization
Kehua Chen, Zhenlong Yuan, Tianlu Mao et al.
CustomContrast: A Multilevel Contrastive Perspective for Subject-Driven Text-to-Image Customization
Nan Chen, Mengqi Huang, Zhuowei Chen et al.
Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection
Shunxin Chen, Ajian Liu, Junze Zheng et al.
DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models
Wei Chen, Jianwei Niu, Xuefeng Liu et al.
Ultra-High-Definition Dynamic Multi-Exposure Image Fusion via Infinite Pixel Learning
Xingchi Chen, Zhuoran Zheng, Xuerui Li et al.
Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis
Yiliang Chen, Steven SC Ho, Cheng Xu et al.
Unsupervised Diffusion-Based Degradation Modeling for Real-World Super-Resolution
Yuying Chen, Mingde Yao, Wenbo Li et al.
VFM-Adapter: Adapting Visual Foundation Models for Dense Prediction with Dynamic Hybrid Operation Mapping
Zheng Chen, Yu Zeng, Zehui Chen et al.
Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation
Ziyang Chen, Yiwen Ye, Yongsheng Pan et al.
Zero-Shot Scene Change Detection
Kyusik Cho, Dong Yeop Kim, Euntai Kim
Self-Corrected Flow Distillation for Consistent One-Step and Few-Step Image Generation
Quan Dao, Hao Phung, Trung Tuan Dao et al.
Single Exposure Quantitative Phase Imaging with a Conventional Microscope Using Diffusion Models
Gabriel della Maggiora, Luis Alberto Croquevielle, Harry Horsley et al.
IniRetinex: Rethinking Retinex-type Low-Light Image Enhancer via Initialization Perspective
Guodong Fan, Zishu Yao, Guang-Yong Chen et al.