Most Cited 2025 Poster Papers
22,274 papers found • Page 39 of 112
Conference
Leveraging Attention to Effectively Compress Prompts for Long-Context LLMs
Yunlong Zhao, Haoran Wu, Bo Xu
Precision-Enhanced Human-Object Contact Detection via Depth-Aware Perspective Interaction and Object Texture Restoration
Yuxiao Wang, Wenpeng Neng, Zhenao Wei et al.
Beyond Random Masking: When Dropout meets Graph Convolutional Networks
Yuankai Luo, Xiao-Ming Wu, Hao Zhu
Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling
Sirui Li, Wenbin Ouyang, Yining Ma et al.
Parametric Scaling Law of Tuning Bias in Conformal Prediction
Hao Zeng, Kangdao Liu, Bingyi Jing et al.
A Simple Approach to Unifying Diffusion-based Conditional Generation
Xirui Li, Charles Herrmann, Kelvin Chan et al.
GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers
Dahun Choi, Hyun Kim
Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models
Yinhong Liu, Zhijiang Guo, Tianya Liang et al.
CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models
Dongfang Li, Zetian Sun, Xinshuo Hu et al.
Depth Degeneracy in Neural Networks: Vanishing Angles in Fully Connected ReLU Networks on Initialization
Cameron Jakub, Mihai Nica
UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting
Haoyuan Li, Yanpeng Zhou, Tao Tang et al.
CryoFM: A Flow-based Foundation Model for Cryo-EM Densities
Yi Zhou, Yilai Li, Jing Yuan et al.
Direct Motion Models for Assessing Generated Videos
Kelsey Allen, Carl Doersch, Guangyao Zhou et al.
Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning
Yunyue Wei, Shanning Zhuang, Vincent Zhuang et al.
Selective Task Group Updates for Multi-Task Optimization
Wooseong Jeong, Kuk-Jin Yoon
LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data
Peer Nagy, Sascha Frey, Kang Li et al.
Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning
Kwanyoung Park, Youngwoon Lee
SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning
Hong Wang, Jie Wang, Minghao Ma et al.
SPEX: Scaling Feature Interaction Explanations for LLMs
Justin S. Kang, Landon Butler, Abhineet Agarwal et al.
David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training
Weijian Luo, colin zhang, Debing Zhang et al.
MixEval-X: Any-to-any Evaluations from Real-world Data Mixture
Jinjie Ni, Yifan Song, Deepanway Ghosal et al.
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi et al.
Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning
Xiaochuan Li, Zichun Yu, Chenyan Xiong
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
Milena Gazdieva, Jaemoo Choi, Alexander Kolesov et al.
Neuron based Personality Trait Induction in Large Language Models
Jia Deng, Tianyi Tang, Yanbin Yin et al.
Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry
Ziheng Chen, Yue Song, Xiaojun Wu et al.
Convergence of Distributed Adaptive Optimization with Local Updates
Ziheng Cheng, Margalit Glasgow
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions
Zhihao He, Hang Yu, Zi Gong et al.
SwitchLingua: The First Large-Scale Multilingual and Multi-Ethnic Code-Switching Dataset
Peng Xie, Xingyuan Liu, Yequan Bie et al.
Synonymous Variational Inference for Perceptual Image Compression
Zijian Liang, Kai Niu, Changshuo Wang et al.
Learning-Augmented Hierarchical Clustering
Vladimir Braverman, Jon C. Ergun, Chen Wang et al.
Hessian-Free Online Certified Unlearning
Xinbao Qiao, Meng Zhang, Ming Tang et al.
Minerva: A Programmable Memory Test Benchmark for Language Models
Menglin Xia, Victor Ruehle, Saravanakumar Rajmohan et al.
Dimension-Independent Rates for Structured Neural Density Estimation
Vandermeulen, Wai Ming Tai, Bryon Aragam
Bayesian WeakS-to-Strong from Text Classification to Generation
Ziyun Cui, Ziyang Zhang, Guangzhi Sun et al.
Towards Continuous Reuse of Graph Models via Holistic Memory Diversification
Ziyue Qiao, Junren Xiao, Qingqiang Sun et al.
Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs
Steve Azzolin, Antonio Longa, Stefano Teso et al.
Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models
Shaotian Yan, Chen Shen, Wenxiao Wang et al.
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance
Shogo Iwazaki, Shion Takeno
Learning Equivariant Non-Local Electron Density Functionals
Nicholas Gao, Eike Eberhard, Stephan Günnemann
Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling
Yuma Ichikawa, Yamato Arai
Latent Radiance Fields with 3D-aware 2D Representations
Chaoyi Zhou, Xi Liu, Feng Luo et al.
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators
Harry Zhang, Luca Carlone
A No Free Lunch Theorem for Human-AI Collaboration
Kenny Peng, Nikhil Garg, Jon Kleinberg
Beyond Next Token Prediction: Patch-Level Training for Large Language Models
Chenze Shao, Fandong Meng, Jie Zhou
Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization
Vladimir Boza, Vladimir Macko
Simple, Good, Fast: Self-Supervised World Models Free of Baggage
Jan Robine, Marc Höftmann, Stefan Harmeling
From an LLM Swarm to a PDDL-empowered Hive: Planning Self-executed Instructions in a Multi-modal Jungle
Kaustubh Vyas, Damien Graux, Yijun Yang et al.
Strategic Classification With Externalities
Safwan Hossain, Evi Micha, Yiling Chen et al.
Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach
Xu Zhang, Kaidi Xu, Ziqing Hu et al.
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions
Yan Ru Pei
How to Verify Any (Reasonable) Distribution Property: Computationally Sound Argument Systems for Distributions
Tal Herman, Guy Rothblum
Improved Regret Bounds for Online Fair Division with Bandit Learning
Benjamin Schiffer, Shirley Zhang
Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
Zijian Li, Shunxing Fan, Yujia Zheng et al.
Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes
Dongjae Jeon, Dueun Kim, Albert No
MRBTP: Efficient Multi-Robot Behavior Tree Planning and Collaboration
Yishuai Cai, Xinglin Chen, Zhongxuan Cai et al.
Compute-Optimal LLMs Provably Generalize Better with Scale
Marc Finzi, Sanyam Kapoor, Diego Granziol et al.
Balanced and Fair Partitioning of Friends
Argyrios Deligkas, Eduard Eiben, Stavros D. Ioannidis et al.
SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG
Shanglin Li, Motoaki Kawanabe, Reinmar Kobler
A solvable model of learning generative diffusion: theory and insights
Hugo Cui, Cengiz Pehlevan, Yue Lu
A Coefficient Makes SVRG Effective
Yida Yin, Zhiqiu Xu, Zhiyuan Li et al.
When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning?
Tongzhou Mu, Zhaoyang Li, Stanisław Wiktor Strzelecki et al.
GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph Generation
Sizhe Hu, Wenming Wu, Yuntao Wang et al.
Density Ratio Estimation with Conditional Probability Paths
Hanlin Yu, Arto Klami, Aapo Hyvarinen et al.
Epistemic Monte Carlo Tree Search
Yaniv Oren, Viliam Vadocz, Matthijs T. J. Spaan et al.
A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning
Zhi Zhou, Tan Yuhao, Zenan Li et al.
SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process
Hanzhen Zhao, Xingyu Xie, Cong Fang et al.
RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models
Youngjun Lee, Doyoung Kim, Junhyeok Kang et al.
EF2X Exists for Four Agents
Arash Ashuri, Vasilis Gkatzelis, Alkmini Sgouritsa
IFORMER: INTEGRATING CONVNET AND TRANSFORMER FOR MOBILE APPLICATION
Chuanyang Zheng
LOHA: Direct Graph Spectral Contrastive Learning Between Low-Pass and High-Pass Views
Ziyun Zou, Yinghui Jiang, Lian Shen et al.
Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling
Wenqiao Zhu, Lulu Wang, Jun Wu
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach
Intra and Inter Parser-Prompted Transformers for Effective Image Restoration
Cong Wang, Jinshan Pan, Liyan Wang et al.
From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking
Yuhan Zhao, Rui Chen, Li Chen et al.
Towards Understanding the Universality of Transformers for Next-Token Prediction
Michael Sander, Gabriel Peyré
Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical Reasoning
Ye Zhang, Yanqi Gao, Dongjie Wang et al.
Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction
Junyi Chen, Di Huang, Weicai Ye et al.
Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
Shengjia Zhang, Jiawei Chen, Changdong Li et al.
Why Do Some Language Models Fake Alignment While Others Don't?
Abhay Sheshadri, John Hughes, Julian Michael et al.
Differentially Private Federated Learning with Time-Adaptive Privacy Spending
Shahrzad Kianidehkordi, Nupur Kulkarni, Adam Dziedzic et al.
Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space
Xiaoyan Yu, Yifan Wei, Shuaishuai Zhou et al.
Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control
Gezheng Xu, Hui GUO, Li Yi et al.
Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning
Yujian Liu, Shiyu Chang, Tommi Jaakkola et al.
TC-Light: Temporally Coherent Generative Rendering for Realistic World Transfer
Yang Liu, Chuanchen Luo, Zimo Tang et al.
Finding Shared Decodable Concepts and their Negations in the Brain
Cory Efird, Alex Murphy, Joel Zylberberg et al.
Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching
Zijing Ou, Mingtian Zhang, Andi Zhang et al.
STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation
Cong Xu, Yunhang He, Jun Wang et al.
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
Emile Anand, Ishani Karmarkar, Guannan Qu
Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness
Kangrui Du, Yuhang Wu, Shikuang Deng et al.
Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo
Idan Achituve, Hai Victor Habi, Amir Rosenfeld et al.
VLMaterial: Procedural Material Generation with Large Vision-Language Models
Beichen Li, Rundi Wu, Armando Solar-Lezama et al.
SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision
Kangjie Zheng, Siyue Liang, Junwei Yang et al.
Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection
Pingting Hao, Kunpeng Liu, Wanfu Gao
Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective
Steve Azzolin, SAGAR MALHOTRA, Andrea Passerini et al.
Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling, and Zero-Shot Transfer
Zihan Pengmei, Zhengyuan Shen, Zichen Wang et al.
DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation
Fan Wang, Chaochao Chen, Weiming Liu et al.
Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
Berken Utku Demirel, Christian Holz
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
Haorong Han, Jidong Yuan, Chixuan Wei et al.
mmFAS: Multimodal Face Anti-Spoofing Using Multi-Level Alignment and Switch-Attention Fusion
Geng Chen, Wuyuan Xie, Di Lin et al.
Diffusion Model Patching via Mixture-of-Prompts
Seokil Ham, Sangmin Woo, Jin-Young Kim et al.
APIRL: Deep Reinforcement Learning for REST API Fuzzing
Myles Foley, Sergio Maffeis
Drop the Beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation
Ziqian Ning, Shuai Wang, Yuepeng Jiang et al.
CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework
Wei Chen, Yuting Wu, Shuhan Wu et al.
DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models
Zhiheng Huang, Yannan Liu, Daojing He et al.
TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting
Shibo Feng, Wanjin Feng, Xingyu Gao et al.
Towards Cost-Effective Reward Guided Text Generation
Ahmad Rashid, Ruotian Wu, Rongqi Fan et al.
Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity
Zhufeng Li, Sandeep Suresh Cranganore, Nicholas Youngblut et al.
A Thorough Comparison Between Independent Cascade and Susceptible-Infected-Recovered Models
Panfeng Liu, Guoliang Qiu, Biaoshuai Tao et al.
Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval
Bingjun Luo, Jinpeng Wang, Zewen Wang et al.
Risk-Controlling Model Selection via Guided Bayesian Optimization
Adam Fisch, Regina Barzilay, Bracha Laufer-Goldshtein et al.
Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki et al.
StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?
Guobin Shen, Dongcheng Zhao, Aorigele Bao et al.
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Samuel Garcin, Trevor McInroe, Pablo Samuel Castro et al.
Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation
Yiwei Shi, Muning Wen, Qi Zhang et al.
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
Renshuai Tao, Manyi Le, Chuangchuang Tan et al.
GTG: Generalizable Trajectory Generation Model for Urban Mobility
Jingyuan Wang, Yujing Lin, Yudong Li
Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity
Wentao Guo, Jikai Long, Yimeng Zeng et al.
The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products
YuQing Xie, Ameya Daigavane, Mit Kotak et al.
Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation
Xovee Xu, Yifan Zhang, Fan Zhou et al.
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
Xinyu Yang, Yu Sun, Xinyang Chen et al.
ExPO: Unlocking Hard Reasoning with Self-Explanation-Guided Reinforcement Learning
Ruiyang Zhou, Shuozhe Li, Amy Zhang et al.
mRNA2vec: mRNA Embedding with Language Model in the 5'UTR-CDS for mRNA Design
Honggen Zhang, Xiangrui Gao, June Zhang et al.
Multi-View Collaborative Learning Network for Speech Deepfake Detection
Kuiyuan Zhang, Zhongyun Hua, Rushi Lan et al.
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
Muzhi Li, Cehao Yang, Chengjin Xu et al.
ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models
Seonghwan Park, Jaehyeon Jeong, Yongjun Kim et al.
BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs
Haolin Wang, Yafei Ou, Prasoon Ambalathankandy et al.
Avoiding spurious sharpness minimization broadens applicability of SAM
Sidak Pal Singh, Hossein Mobahi, Atish Agarwala et al.
Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation
Yingpeng Du, Zhu Sun, Ziyan Wang et al.
A Solvable Attention for Neural Scaling Laws
Bochen Lyu, Di Wang, Zhanxing Zhu
EMPLACE: Self-Supervised Urban Scene Change Detection
Tim Alpherts, Sennay Ghebreab, Nanne van Noord
Cross-modal Multi-task Learning for Multimedia Event Extraction
Jianwei Cao, Yanli Hu, Zhen Tan et al.
Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning
Mehrdad Moghimi, Hyejin Ku
Asymmetric Reinforcing Against Multi-Modal Representation Bias
Xiyuan Gao, Bing Cao, Pengfei Zhu et al.
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
Rui Qiao, Zhaoxuan Wu, Jingtan Wang et al.
MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation
Guokai Sun, Yuan Zhuang, Shuo Zhang et al.
Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment
Yizhi Song, Liu He, Zhifei Zhang et al.
Calibrating Expressions of Certainty
Peiqi Wang, Barbara Lam, Yingcheng Liu et al.
Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach
Hang Gao, Chenhao Zhang, Fengge Wu et al.
Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation
Haipeng Chen, Sifan Wu, Zhigang Wang et al.
Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression
Co Tran, Quoc-Bao Tran, Hy Truong Son et al.
Chemistry-Inspired Diffusion with Non-Differentiable Guidance
Yuchen Shen, Chenhao Zhang, Sijie Fu et al.
AoP-SAM: Automation of Prompts for Efficient Segmentation
Yi Chen, Muyoung Son, Chuanbo Hua et al.
Universal Neural Optimal Transport
Jonathan Geuter, Gregor Kornhardt, Ingimar Tomasson et al.
EvHDR-NeRF: Building High Dynamic Range Radiance Fields with Single Exposure Images and Events
Zehao Chen, Zhanfeng Liao, De Ma et al.
SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch
Shengyu Feng, Yiming Yang
NetFormer: An interpretable model for recovering dynamical connectivity in neuronal population dynamics
Ziyu Lu, Wuwei Zhang, Trung Le et al.
Generating Physical Dynamics under Priors
Zihan Zhou, Xiaoxue Wang, Tianshu Yu
Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval
Cheol-Ho Cho, WonJun Moon, WooJin Jun et al.
U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models
Tung-Yu Wu, Melody Lo
HYGENE: A Diffusion-Based Hypergraph Generation Method
Dorian Gailhard, Enzo Tartaglione, Lirida Naviner et al.
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
Xingbo Fu, Zihan Chen, Yinhan He et al.
MrSteve: Instruction-Following Agents in Minecraft with What-Where-When Memory
Junyeong Park, Junmo Cho, Sungjin Ahn
Active Fourier Auditor for Estimating Distributional Properties of ML Models
Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu
InstructOCR: Instruction Boosting Scene Text Spotting
Chen Duan, Qianyi Jiang, Pei Fu et al.
A Diffusion-Based Framework for Occluded Object Movement
Zheng-Peng Duan, Jiawei Zhang, Siyu Liu et al.
Towards Improving Exploration through Sibling Augmented GFlowNets
Kanika Madan, Alex Lamb, Emmanuel Bengio et al.
Even-if Explanations: Formal Foundations, Priorities and Complexity
Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio et al.
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression
Chuqin Zhou, Guo Lu, Jiangchuan Li et al.
Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function
Anna Grim, Jayaram Chandrashekar, Uygar Sümbül
Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search
Yang Li, Jiale Ma, Wenzheng Pan et al.
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance
Jialong Guo, Ke Liu, Jiangchao Yao et al.
OODML: Whole Slide Image Classification Meets Online Pseudo-Supervision and Dynamic Mutual Learning
Tingting Zheng, Kui Jiang, Hongxun Yao et al.
Topological Schrödinger Bridge Matching
Maosheng Yang
ECHOPulse: ECG Controlled Echocardio-gram Video Generation
Yiwei Li, Sekeun Kim, Zihao Wu et al.
Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
Bryan L. M. de Oliveira, Luana G. B. Martins, Bruno Brandão et al.
MonoBox: Tightness-Free Box-Supervised Polyp Segmentation Using Monotonicity Constraint
Qiang Hu, Zhenyu Yi, Ying Zhou et al.
MagicNaming: Consistent Identity Generation by Finding a “Name Space” in T2I Diffusion Models
Jing Zhao, Heliang Zheng, Chaoyue Wang et al.
Visually Guided Decoding: Gradient-Free Hard Prompt Inversion with Language Models
Donghoon Kim, Minji Bae, Kyuhong Shim et al.
VProChart: Answering Chart Question Through Visual Perception Alignment Agent and Programmatic Solution Reasoning
Muye Huang, Lingling Zhang, Han Lai et al.
CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression
Xinjie Zhang, Shenyuan Gao, Zhening Liu et al.
Generative Medical Segmentation
Jiayu Huo, Xi Ouyang, Sébastien Ourselin et al.
Deep Generative Model for Mechanical System Configuration Design
Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei et al.
Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks
Alexander Jaus, Constantin Marc Seibold, Simon Reiß et al.
DMOSpeech: Direct Metric Optimization via Distilled Diffusion Model in Zero-Shot Speech Synthesis
Yinghao Li, Rithesh Kumar, Zeyu Jin
Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging
Xiaoling Hu, Karthik Gopinath, Peirong Liu et al.
DesignEdit: Unify Spatial-Aware Image Editing via Training-free Inpainting with a Multi-Layered Latent Diffusion Framework
Yueru Jia, Aosong Cheng, Yuhui Yuan et al.
PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation
Liyao Jiang, Negar Hassanpour, Mohammad Salameh et al.
OAC: Output-adaptive Calibration for Accurate Post-training Quantization
Ali Edalati, Alireza Ghaffari, Mahsa Ghazvini Nejad et al.
Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation
Alessandro Palma, Sergei Rybakov, Leon Hetzel et al.
Active Learning for Continual Learning: Keeping the Past Alive in the Present
Jaehyun Park, Dongmin Park, Jae-Gil Lee
Matching While Perceiving: Enhance Image Feature Matching with Applicable Semantic Amalgamation
Shihua Zhang, Zhenjie Zhu, Zizhuo Li et al.
C2PD: Continuity-Constrained Pixelwise Deformation for Guided Depth Super-Resolution
Jiahui Kang, Qing Cai, Runqing Tan et al.
Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction
Mingyu Derek Ma, Xiaoxuan Wang, Yijia Xiao et al.
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
Kaizheng Wang, Fabio Cuzzolin, Keivan Shariatmadar et al.
Textured Mesh Saliency: Bridging Geometry and Texture for Human Perception in 3D Graphics
Kaiwei Zhang, Dandan Zhu, Xiongkuo Min et al.
Color Transfer with Modulated Flows
Maria Larchenko, Alexander Lobashev, Dmitry Guskov et al.
Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives
Marius Belly, Nathanaël Fijalkow, Hugo Gimbert et al.
RaSA: Rank-Sharing Low-Rank Adaptation
Zhiwei He, Zhaopeng Tu, Xing Wang et al.
MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs
Tommaso Mencattini, Adrian Robert Minut, Donato Crisostomi et al.
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics
Katharina Friedl, Noémie Jaquier, Jens Lundell et al.
Frequency-Aware Density Control via Reparameterization for High-Quality Rendering of 3D Gaussian Splatting
Zhaojie Zeng, Yuesong Wang, Lili Ju et al.
Transition Matching: Scalable and Flexible Generative Modeling
Neta Shaul, Uriel Singer, Itai Gat et al.
Solving Inverse Problems with Model Mismatch using Untrained Neural Networks within Model-based Architectures
Peimeng Guan, Naveed Iqbal, Mark Davenport et al.
Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization
Liang Du, Henghui Jiang, Xiaodong Li et al.
Revisiting CAD Model Generation by Learning Raster Sketch
Pu Li, Wenhao Zhang, Jianwei Guo et al.
Rebalancing Multi-Label Class-Incremental Learning
Kaile Du, Yifan Zhou, Fan Lyu et al.
BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing
Dongliang Guo, Mengxuan Hu, Zihan Guan et al.
Action-Agnostic Point-Level Supervision for Temporal Action Detection
Shuhei M. Yoshida, Takashi Shibata, Makoto Terao et al.
Hyperbolic-Constraint Point Cloud Reconstruction from Single RGB-D Images
Wenrui Li, Zhe Yang, Wei Han et al.