Most Cited 2025 "generative process" Papers
22,274 papers found • Page 103 of 112
Conference
UP-Restorer: When Unrolling Meets Prompts for Unified Image Restoration
Minghao Liu, Wenhan Yang, Jinyi Luo et al.
FIRING-Net: A filtered feature recycling network for speech enhancement
Xinmeng Xu, Yiqun Zhang, Jizhen Li et al.
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks
Biswadeep Chakraborty, Harshit Kumar, Saibal Mukhopadhyay
Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics
Ahana Deb, Roberto Cipollone, Anders Jonsson et al.
Rejecting Hallucinated State Targets during Planning
Mingde Zhao, Tristan Sylvain, Romain Laroche et al.
Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
Kosuke Nakanishi, Akihiro Kubo, Yuji Yasui et al.
Union Is Strength! Unite the Power of LLMs and MLLMs for Chart Question Answering
Jiapeng Liu, Liang Li, Shihao Rao et al.
Algorithm Development in Neural Networks: Insights from the Streaming Parity Task
Loek van Rossem, Andrew Saxe
Enhancing Parallelism in Decentralized Stochastic Convex Optimization
Ofri Eisen, Ron Dorfman, Kfir Levy
PEIE: Physics Embedded Illumination Estimation for Adaptive Dehazing
Huaizhuo Liu, Hai-Miao Hu, Yonglong Jiang et al.
Optimal Survey Design for Private Mean Estimation
Yu-Wei Chen, Raghu Pasupathy, Jordan A Awan
Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models
Liangchen Liu, Nannan Wang, Xi Yang et al.
Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback
Canzhe Zhao, Yutian Cheng, Jing Dong et al.
Model Risk-sensitive Offline Reinforcement Learning
Gwangpyo Yoo, Honguk Woo
Zero-Shot Noise2Mean: Gap Minimization for Efficient Denoising from a Single Noisy Image
Duo Liu, Yiqi Shi, Guoyin Zhang et al.
UFO: Enhancing Diffusion-Based Video Generation with a Uniform Frame Organizer
Delong Liu, Zhaohui Hou, Mingjie Zhan et al.
Local Patterns Generalize Better for Novel Anomalies
Yalong Jiang
Agent-Centric Actor-Critic for Asynchronous Multi-Agent Reinforcement Learning
Whiyoung Jung, Sunghoon Hong, Deunsol Yoon et al.
Geometric Generative Modeling with Noise-Conditioned Graph Networks
Peter Pao-Huang, Mitchell Black, Xiaojie Qiu
NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric
Jingtan Wang, Xiaoqiang Lin, Rui Qiao et al.
Multilingual and Multi-Accent Jailbreaking of Audio LLMs
Jaechul Roh, Virat Shejwalkar, Amir Houmansadr
System-Aware Unlearning Algorithms: Use Lesser, Forget Faster
Linda Lu, Ayush Sekhari, Karthik Sridharan
SOVGaussian: Sparse-View 3D Gaussian Splatting for Open-Vocabulary Scene Understanding
Peng Ling, Tiao Tan, Jiaqi Lin et al.
Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases
Yuxin Lin, Wei Wang, Xiaoling Luo et al.
Memory Efficient Matting with Adaptive Token Routing
Yiheng Lin, Yihan Hu, Chenyi Zhang et al.
On Effects of Steering Latent Representation for Large Language Model Unlearning
Huu-Tien Dang, Tin Pham, Hoang Thanh-Tung et al.
Improving Out-of-Distribution Detection with Markov Logic Networks
Konstantin Kirchheim, Frank Ortmeier
Multi-Granularity Video Object Segmentation
Sangbeom Lim, Seongchan Kim, Seungjun An et al.
NMA-tune: Generating Highly Designable and Dynamics Aware Protein Backbones
Urszula Julia Komorowska, Francisco Vargas, Alessandro Rondina et al.
Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs
Bowen Gao, Haichuan Tan, Yanwen Huang et al.
Learning Extrapolative Sequence Transformations from Markov Chains
Sophia Hager, Aleem Khan, Andrew Wang et al.
TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models
Kangjie Chen, Muyang Li, Guanlin Li et al.
Progressive Distribution Matching for Federated Semi-Supervised Learning
Dongping Liao, Xitong Gao, Yabo Xu et al.
Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
Guoyan Liang, Qin Zhou, Zhe Wang et al.
Exploring the Potential of Large Vision-Language Models for Unsupervised Text-Based Person Retrieval
Zongyi Li, Li Jianbo, Yuxuan Shi et al.
ProsodyTalker: 3D Visual Speech Animation via Prosody Decomposition
Zonglin Li, Xiaoqian Lv, Qinglin Liu et al.
Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study
Zhangheng Li, Tianlong Chen, Linyi Li et al.
MP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning
Jingfeng Zhang, Prashanth Krishnamurthy, Naman Patel et al.
Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees
Yingzhen Yang, Ping Li
UNVEILING: What Makes Linguistics Olympiad Puzzles Tricky for LLMs?
Mukund Choudhary, KV Aditya Srivatsa, Gaurja Aeron et al.
A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
Shib S Dasgupta, Michael Boratko, Andrew McCallum
StructSR: Refuse Spurious Details in Real-World Image Super-Resolution
Yachao Li, Dong Liang, Tianyu Ding et al.
Diffusion Models and Gaussian Flow Matching: Two Sides of the Same Coin
Ruiqi Gao, Emiel Hoogeboom, Jonathan Heek et al.
Mamba-CAD: State Space Model for 3D Computer-Aided Design Generative Modeling
Xueyang Li, Yunzhong Lou, Yu Song et al.
Position: Deep Learning is Not So Mysterious or Different
Andrew Wilson
Generalized Random Forests Using Fixed-Point Trees
David Fleischer, David A Stephens, Archer Yang
DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation
Shuyuan Wang, Philip D. Loewen, Michael Forbes et al.
DigitalLLaVA: Incorporating Digital Cognition Capability for Physical World Comprehension in Multimodal LLMs
Shiyu Li, Pengxu Wei, Pengchong Qiao et al.
Position: Truly Self-Improving Agents Require Intrinsic Metacognitive Learning
Tennison Liu, Mihaela van der Schaar
Sensitivity Verification for Additive Decision Tree Ensembles
Arhaan Ahmad, Tanay Tayal, Ashutosh Gupta et al.
Position: It Is Time We Test Neural Computation In Vitro
Frithjof Gressmann, Ashley Chen, Lily Xie et al.
Enhancing Generalizability via Utilization of Unlabeled Data for Occupancy Perception
Ruihang Li, Tao Li, Shanding Ye et al.
Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries
Yuena Lin, Haichun Cai, Jun-Yi Hang et al.
Can LLM "Self-report"?: Evaluating the Validity of Self-report Scales in Measuring Personality Design in LLM-based Chatbots
Huiqi Zou, Pengda Wang, Zihan Yan et al.
Region-aware Difference Distilling with Attribute-guided Contrastive Regularization for Change Captioning
Rong Li, Liang Li, Jiehua Zhang et al.
Redefining the task of Bioactivity Prediction
Yanwen Huang, Bowen Gao, Yinjun JIA et al.
Position: Graph Matching Systems Deserve Better Benchmarks
Indradyumna Roy, Saswat Meher, Eeshaan Jain et al.
Position: The Right to AI
Rashid Mushkani, Hugo Berard, Allison Cohen et al.
Similar Modality Enhancement and Action Consistency Learning for Weakly Supervised Temporal Action Localization
Maodong Li, Chao Zheng, Jian Wang et al.
Know Where You Are From: Event-Based Segmentation via Spatio-Temporal Propagation
Ke Li, Gengyu Lyu, Hao Chen et al.
Revisiting Differentially Private Algorithms for Decentralized Online Learning
Xiaoyu Wang, Wenhao Yang, Chang Yao et al.
ProtPainter: Draw or Drag Protein via Topology-guided Diffusion
Zhengxi Lu, Shizhuo Cheng, Yuru Jiang et al.
Federated Oriented Learning: A Practical One-Shot Personalized Federated Learning Framework
Guan Huang, Tao Shu
Position: Retrieval-augmented systems can be dangerous medical communicators
Lionel Wong, Ayman Ali, Raymond M Xiong et al.
Position: AI Should Not Be An Imitation Game: Centaur Evaluations
Andreas Haupt, Erik Brynjolfsson
sciLaMA: A Single-Cell Representation Learning Framework to Leverage Prior Knowledge from Large Language Models
Hongru Hu, Shuwen Zhang, Yongin Choi et al.
Linear convergence of Sinkhorn's algorithm for generalized static Schrödinger bridge
Rahul Choudhary, Hanbaek Lyu
Exploring Vision Semantic Prompt for Efficient Point Cloud Understanding
Yixin Zha, Chuxin Wang, Wenfei Yang et al.
Wasserstein Distance Constraint and Parameter Sparsification for Batched and Iterative Knowledge Editing
Shanbao Qiao, Xuebing Liu, Seung-Hoon Na
Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov–Wasserstein Marginal Penalization
Florian Beier, Moritz Piening, Robert Beinert et al.
MaskViM: Domain Generalized Semantic Segmentation with State Space Models
Jiahao Li, Yang Lu, Yuan Xie et al.
Procurement Auctions via Approximately Optimal Submodular Optimization
Yuan Deng, Amin Karbasi, Vahab Mirrokni et al.
CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models
Lanyun Zhu, Deyi Ji, Tianrun Chen et al.
Understanding Nonlinear Implicit Bias via Region Counts in Input Space
Jingwei Li, Jing Xu, Zifan Wang et al.
Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning
Hanqi Yan, Linhai Zhang, Jiazheng Li et al.
Cascaded Diffusion Models for Virtual Try-On: Improving Control and Resolution
Guangyuan Li, Yongkang Wang, Junsheng Luan et al.
Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning
Eric Wang, Zhichao Chen, Haotian Wang et al.
Position: AI's growing due process problem
Sunayana Rane
An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques
Chunxiao Li, Xiaoxiao Wang, Boming Miao et al.
MindCustomer: Multi-Context Image Generation Blended with Brain Signal
Muzhou Yu, Shuyun Lin, Lei Ma et al.
Position: Probabilistic Modelling is Sufficient for Causal Inference
Bruno Mlodozeniec, David Krueger, Richard E Turner
FEAST-Mamba: FEAture and SpaTial Aware Mamba Network with Bidirectional Orthogonal Fusion for Cross-Modal Point Cloud Segmentation
Chade Li, Pengju Zhang, Bo Liu et al.
Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images
Zhengrui Guo, Qichen Sun, Jiabo MA et al.
Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data
Anish Acharya, Sujay Sanghavi, Alex Dimakis et al.
FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-from-gradients
Jiaqi Leng, Yakun Ju, Yuanxu Duan et al.
Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments
Baohong Li, Yingrong Wang, Anpeng Wu et al.
Position: Stop treating `AGI' as the north-star goal of AI research
Borhane Blili-Hamelin, Christopher Graziul, Leif Hancox-Li et al.
COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation
Wenxu Wang, Rui Zhou, Jing Wang et al.
Promising Multi-Granularity Linguistic Steganography by Jointing Syntactic and Lexical Manipulations
Chengfu Ou, Lingyun Xiang, Yangfan Liu
Concept Matching with Agent for Out-of-Distribution Detection
Yuxiao Lee, Xiaofeng Cao, Jingcai Guo et al.
Enabling Region-Specific Control via Lassos in Point-Based Colorization
Sanghyeon Lee, Jooyeol Yun, Jaegul Choo
Position: Rethinking Explainable Machine Learning as Applied Statistics
Sebastian Bordt, Eric Raidl, Ulrike Luxburg
NBA3D: Neighbor-Based Confidence Adjustment for 3D Rare Object Detection Using LiDAR
Jooyoung Lee, Jaeyoon Lee, Jongwon Choi
A Unified Degradation-Robust Approach to SSL and UDA for 3D Medical Images
Suruchi Kumari, Pravendra Singh
Position: Challenges and Future Directions of Data-Centric AI Alignment
Min-Hsuan Yeh, Jeffrey Wang, Xuefeng Du et al.
Position: Generative AI Regulation Can Learn from Social Media Regulation
Ruth Elisabeth Appel
Position: Human Baselines in Model Evaluations Need Rigor and Transparency (With Recommendations & Reporting Checklist)
Kevin Wei, Patricia Paskov, Sunishchal Dev et al.
Modified K-means Algorithm with Local Optimality Guarantees
Mingyi Li, Michael R. Metel, Akiko Takeda
Sequence Matters: Harnessing Video Models in 3D Super-Resolution
Hyun-kyu Ko, Dongheok Park, Youngin Park et al.
Reward-Guided Prompt Evolving in Reinforcement Learning for LLMs
Ziyu Ye, Rishabh Agarwal, Tianqi Liu et al.
ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image Captioning
Taewhan Kim, Soeun Lee, Si-Woo Kim et al.
The Polynomial Stein Discrepancy for Assessing Moment Convergence
Narayan Srinivasan, Matthew Sutton, Christopher Drovandi et al.
Active feature acquisition via explainability-driven ranking
Osman Berke Guney, Ketan Saichandran, Karim Elzokm et al.
TSDF-Based Efficient Motion-Compensated Temporal Interpolation for 3D Dynamic Sequences
Soowoong Kim, Minseong Kwon, Junho Choi et al.
APR-RD: Complemental Two Steps for Self-Supervised Real Image Denoising
Hyunjun Kim, Nam Ik Cho
SpikF: Spiking Fourier Network for Efficient Long-term Prediction
Wenjie Wu, Dexuan Huo, Hong Chen
Safety Certificate against Latent Variables with Partially Unidentifiable Dynamics
Haoming Jing, Yorie Nakahira
Uncertainty Quantification for LLM-Based Survey Simulations
Chengpiao Huang, Yuhang Wu, Kaizheng Wang
Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models
Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa et al.
Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration
Hyeonseok Kim, Byeongkeun Kang, Yeejin Lee
DiffusionREC: Diffusion Model with Adaptive Condition for Referring Expression Comprehension
Jingcheng Ke, Waikeung Wong, Jia Wang et al.
Bridging the Semantic Granularity Gap Between Text and Frame Representations for Partially Relevant Video Retrieval
WooJin Jun, WonJun Moon, Cheol-Ho Cho et al.
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs
Jie Hu, Yi-Ting Ma, Do-Young Eun
A Method for Enhancing Generalization of Adam by Multiple Integrations
Long Jin, Han Nong, Liangming Chen et al.
Query Quantized Neural SLAM
Sijia Jiang, Jing Hua, Zhizhong Han
Position: Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks
Yanzhou Pan, Jiayi Chen, Jiamin Chen et al.
Resolution Attack: Exploiting Image Compression to Deceive Deep Neural Networks
Wangjia Yu, Xiaomeng Fu, Qiao Li et al.
Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution
Luoqian Jiang, Yong Guo, Bingna Xu et al.
Weight matrices compression based on PDB model in deep neural networks
Xiaoling Wu, Junpeng Zhu, Zeng Li
Position: Humanity Faces Existential Risk from Gradual Disempowerment
Jan Kulveit, Raymond Douglas, Nora Ammann et al.
L-Diffusion: Laplace Diffusion for Efficient Pathology Image Segmentation
Weihan Li, Linyun Zhou, YangJian et al.
DyCodeEval: Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination
Simin Chen, Pranav Pusarla, Baishakhi Ray
A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method
Zhengzheng Lou, Hang Xue, Chaoyang Zhang et al.
Generalized additive models via direct optimization of regularized decision stump forests
Magzhan Gabidolla, Miguel Carreira-Perpinan
Position: Machine Learning Models Have a Supply Chain Problem
Sarah Meiklejohn, Hayden Blauzvern, Mihai Maruseac et al.
SCCS: Deep Neural Spectral Clustering for Self-Supervised Subcellular Structure Segmentation
Jimao Jiang, Diya Sun, Tianbing Wang et al.
ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling
Jianan Jiang, Hao Tang, Zhilin Jiang et al.
Discovering Clone Negatives via Adaptive Contrastive Learning for Image-Text Matching
Renjie Pan, Jihao Dong, Hua Yang
Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization
Yucheng Yang, Tianyi Zhou, Mykola Pechenizkiy et al.
Orchestrating the Symphony of Prompt Distribution Learning for Human-Object Interaction Detection
Mingda Jia, Liming Zhao, Ge Li et al.
Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems
Atsumoto Ohashi, Ryuichiro Higashinaka
DVI:A Derivative-based Vision Network for INR
RUNZHAO YANG, Xiaolong Wu, Zhihong Zhang et al.
Demystifying Singular Defects in Large Language Models
Haoqi Wang, Tong Zhang, Mathieu Salzmann
From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers
Yoon Hyeok Lee, Jaemin Park, Taejin Paik et al.
Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence
Yipei Wang, Xiaoqian Wang
Graph Inverse Style Transfer for Counterfactual Explainability
Bardh Prenkaj, Efstratios Zaradoukas, Gjergji Kasneci
Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference
Ce Zhang, Yixin Han, Yafei Wang et al.
Nonlinear Sequence Embedding by Monotone Variational Inequality
Jonathan Y. Zhou, Yao Xie
Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration
Shiqing Gao, Jiaxin Ding, Luoyi Fu et al.
Average Sensitivity of Hierarchical $k$-Median Clustering
Shijie Li, Weiqiang He, Ruobing Bai et al.
CLIP-RestoreX: Restore Image Structure and Perception in Exposure Correction
Xiang Huang, Qing Zhang, Jian-Fang Hu et al.
PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design
Zhenqiao Song, Tianxiao Li, Lei Li et al.
Sounding that Object: Interactive Object-Aware Image to Audio Generation
Tingle Li, Baihe Huang, Xiaobin Zhuang et al.
AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models
Lifeng Huang, Tian Su, Chengying Gao et al.
Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates
Yunfei Huang, David S. Greenberg
QPRL : Learning Optimal Policies with Quasi-Potential Functions for Asymmetric Traversal
Jumman Hossain, Nirmalya Roy
Cross-Modal Alignment via Variational Copula Modelling
Feng Wu, Tsai Hor Chan, Fuying Wang et al.
Identity-Text Video Corpus Grounding
Bin Huang, Xin Wang, Hong Chen et al.
Prompt-to-Leaderboard: Prompt-Adaptive LLM Evaluations
Evan Frick, Connor Chen, Joseph Tennyson et al.
OccProphet: Pushing the Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with an Observer-Forecaster-Refiner Framework
Junliang Chen, Huaiyuan Xu, Yi Wang et al.
Extreme Value Policy Optimization for Safe Reinforcement Learning
Shiqing Gao, Yihang Zhou, Shuai Shao et al.
Language Models of Code Are Few-Shot Planners and Reasoners for Multi-Document Summarization with Attribution
Abhilash Nandy, Sambaran Bandyopadhyay
Confounder-Free Continual Learning via Recursive Feature Normalization
Yash Shah, Camila Gonzalez, MohammadHassan Abbasi et al.
One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory
Yuhang Li, Tong Liu, Yangguang Cui et al.
Prompt Tuning In a Compact Attribute Space
Shiyu Hou, Tianfei Zhou, Shuai Zhang et al.
Three-in-One: Fast and Accurate Transducer for Hybrid-Autoregressive ASR
Hainan Xu, Travis Bartley, Vladimir Bataev et al.
FashionTailor: Controllable Clothing Editing for Human Images with Appearance Preserving
Jie Hou, Jianghong Ma, Xiangyu Mu et al.
Decision-aware Training of Spatiotemporal Forecasting Models to Select a Top-K Subset of Sites for Intervention
Kyle Heuton, Frederick Muench, Shikhar Shrestha et al.
Efficient Online Training for Zero-Shot Time-Lapse Microscopy Denoising and Super-Resolution
Ruian He, Ri Cheng, Xinkai Lyu et al.
Label Distribution Propagation-based Label Completion for Crowdsourcing
Tong Wu, Liangxiao Jiang, Wenjun Zhang et al.
Aligned LLMs Are Not Aligned Browser Agents
Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar et al.
Compressing tree ensembles through Level-wise Optimization and Pruning
Laurens Devos, Timo Martens, Deniz Oruc et al.
Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent Systems
Chunyan Mu, Muhammad Najib, Nir Oren
Dimension-Free Adaptive Subgradient Methods with Frequent Directions
Sifan Yang, Yuanyu Wan, Peijia Li et al.
ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image
Jinkun Hao, Junshu Tang, Jiangning Zhang et al.
Multi-objective Linear Reinforcement Learning with Lexicographic Rewards
Bo Xue, Dake Bu, Ji Cheng et al.
Tensorized Attention for Understanding Multi-Object Relationships
Makoto Nakatsuji, Yasuhiro Fujiwara, Atsushi Otsuka et al.
Towards characterizing the value of edge embeddings in Graph Neural Networks
Dhruv Rohatgi, Tanya Marwah, Zachary Lipton et al.
Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures
Alina Ene, Alessandro Epasto, Vahab Mirrokni et al.
IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck
Tian Bian, Yifan Niu, Chaohao Yuan et al.
DexScale: Automating Data Scaling for Sim2Real Generalizable Robot Control
Guiliang Liu, Yueci Deng, Runyi Zhao et al.
SpikeGS: Reconstruct 3D Scene Captured by a Fast-Moving Bio-Inspired Camera
Yijia Guo, Liwen Hu, Yuanxi Bai et al.
Learning Imbalanced Data with Beneficial Label Noise
Guangzheng Hu, Feng Liu, Mingming Gong et al.
Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting
Haojie Guo, Junyu Gao, Yuan Yuan
Reasoning over Uncertain Text by Generative Large Language Models
Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi
Tractable Transformers for Flexible Conditional Generation
Anji Liu, Xuejie Liu, Dayuan Zhao et al.
Breaking Barriers: A Paradigm Shift in Technology Accessibility for Individuals with Physical Disabilities
Kshitij Mishra, Manisha Burja, Asif Ekbal
OT-StainNet: Optimal Transport Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer
Xianchao Guan, Yifeng Wang, Ye Zhang et al.
MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning
Shengbo Gu, Yu-Kun Qiu, Yu-Ming Tang et al.
Learning to Search from Demonstration Sequences
Dixant Mittal, Liwei Kang, Wee Sun Lee
PPT: Patch Order Do Matters In Time Series Pretext Task
Jaeho Kim, Kwangryeol Park, Sukmin Yun et al.
CoSER: Coordinating LLM-Based Persona Simulation of Established Roles
Xintao Wang, Heng Wang, Yifei Zhang et al.
The impact of allocation strategies in subset learning on the expressive power of neural networks
Ofir Schlisselberg, Ran Darshan
Understanding Methods for Scalable MCTS
Will Knipe
TC-LLaVA: Rethinking the Transfer of LLava from Image to Video Understanding with Temporal Considerations
Mingze Gao, Jingyu Liu, Mingda Li et al.
AIM: Let Any Multimodal Large Language Models Embrace Efficient In-Context Learning
Jun Gao, Qian Qiao, Tianxiang Wu et al.
MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product
Muyang Cao, Jiajun Yu, Xin Du et al.
Knowledge Graph Retrieval-Augmented Generation via GNN-Guided Prompting
Haochen Liu, Song Wang, Jundong Li
Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination
Zhihan Zhu, Yanhao Zhang, Yong Xia
Improving Deep Regression with Tightness
Shihao Zhang, Yuguang Yan, Angela Yao
DFDNet: Disentangling and Filtering Dynamics for Enhanced Video Prediction
Lianqiang Gan, Junyu Lai, Jingze Ju et al.
MFL-Owner: Ownership Protection for Multi-modal Federated Learning via Orthogonal Transform Watermark
Keke Gai, Dongjue Wang, Jing Yu et al.
Foundation Model Driven Appearance Extraction for Robust Multiple Object Tracking
Teng Fu, Haiyang Yu, Ke Niu et al.
BGHR: Bridging the Gap Between HBox-Supervised and RBox-Supervised Oriented Object Detection via Adaptive Fine-Grained Sample Mining
Chenlin Fu, Yingying Zhu
Simplifying Control Mechanism in Text-to-Image Diffusion Models
Zhida Feng, Li Chen, Yuenan Sun et al.
More Than Meets the Eye: Enhancing Multi-Object Tracking Even with Prolonged Occlusions
Bishoy Galoaa, Somaieh Amraee, Sarah Ostadabbas
Generalization Performance of Ensemble Clustering: From Theory to Algorithm
Xu Zhang, Haoye Qiu, Weixuan Liang et al.
Learn hybrid prototypes for multivariate time series anomaly detection
Ke-Yuan Shen
HDLayout: Hierarchical and Directional Layout Planning for Arbitrary Shaped Visual Text Generation
Tonghui Feng, Chunsheng Yan, Qianru Wang et al.
Weakly Supervised Gland Segmentation with Class Semantic Consistency and Purified Labels Filtration
Siyang Feng, Huadeng Wang, Chu Han et al.