Most Cited 2025 "diffusion" Papers
22,274 papers found • Page 39 of 112
Conference
Action-Agnostic Point-Level Supervision for Temporal Action Detection
Shuhei M. Yoshida, Takashi Shibata, Makoto Terao 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.
From Probability to Counterfactuals: the Increasing Complexity of Satisfiability in Pearl's Causal Hierarchy
Julian Dörfler, Benito van der Zander, Markus Bläser et al.
On Teacher Hacking in Language Model Distillation
Daniil Tiapkin, Daniele Calandriello, Johan Ferret et al.
GTG: Generalizable Trajectory Generation Model for Urban Mobility
Jingyuan Wang, Yujing Lin, Yudong Li
When Selection Meets Intervention: Additional Complexities in Causal Discovery
Haoyue Dai, Ignavier Ng, Jianle Sun et al.
Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki et al.
Graph Structure Refinement with Energy-based Contrastive Learning
Xianlin Zeng, Yufeng Wang, Yuqi Sun et al.
Blink of an eye: a simple theory for feature localization in generative models
Marvin Li, Aayush Karan, Sitan Chen
Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities
Yifang Chen, Xiaoyu Li, Yingyu Liang et al.
Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models
Linh Tran, Wei Sun, Stacy Patterson et al.
Disentangling Representations through Multi-task Learning
Pantelis Vafidis, Aman Bhargava, Antonio Rangel
Deep Generative Model for Mechanical System Configuration Design
Yasaman Etesam, Hyunmin Cheong, Mohammadmehdi Ataei et al.
Beyond FVD: An Enhanced Evaluation Metrics for Video Generation Distribution Quality
Ge Ya Luo, Gian M Favero, Zhi Hao Luo et al.
CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation
Jixuan Leng, Chengsong Huang, Langlin Huang et al.
On Volume Minimization in Conformal Regression
Batiste Le Bars, Pierre Humbert
How Many Lines to Paint the City: Exact Edge-Cover in Temporal Graphs
Argyrios Deligkas, Michelle Döring, Eduard Eiben et al.
Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space
Xiaoyan Yu, Yifan Wei, Shuaishuai Zhou et al.
Guaranteed Generation from Large Language Models
Minbeom Kim, Thibaut Thonet, Jos Rozen et al.
Grokking at the Edge of Linear Separability
Alon Beck, Noam Levi, Yohai Bar-Sinai
CultureCLIP: Empowering CLIP with Cultural Awareness through Synthetic Images and Contextualized Captions
Yuchen Huang, Zhiyuan Fan, Zhitao He et al.
Multi-Token Attention
Olga Golovneva, Tianlu Wang, Jason E Weston et al.
OAC: Output-adaptive Calibration for Accurate Post-training Quantization
Ali Edalati, Alireza Ghaffari, Mahsa Ghazvini Nejad et al.
GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model
Zixiang Ai, Zichen Liu, Yuanhang Lei et al.
Neural Genetic Search in Discrete Spaces
Hyeonah Kim, Sanghyeok Choi, Jiwoo Son et al.
NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval
Sepanta Zeighami, Zac Wellmer, Aditya Parameswaran
What makes an Ensemble (Un) Interpretable?
Shahaf Bassan, Guy Amir, Meirav Zehavi et al.
Decentralized Federated Learning with Model Caching on Mobile Agents
Xiaoyu Wang, Guojun Xiong, Houwei Cao et al.
Simple, Good, Fast: Self-Supervised World Models Free of Baggage
Jan Robine, Marc Höftmann, Stefan Harmeling
Frequency-Aware Density Control via Reparameterization for High-Quality Rendering of 3D Gaussian Splatting
Zhaojie Zeng, Yuesong Wang, Lili Ju et al.
Feature Clipping for Uncertainty Calibration
Linwei Tao, Minjing Dong, Chang Xu
Learning to Communicate Through Implicit Communication Channels
Han Wang, Binbin Chen, zhang et al.
Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization
Liang Du, Henghui Jiang, Xiaodong Li et al.
Rebalancing Multi-Label Class-Incremental Learning
Kaile Du, Yifan Zhou, Fan Lyu et al.
STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation
Cong Xu, Yunhang He, Jun Wang et al.
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications
Yutong Xia, Runpeng Yu, Yuxuan Liang et al.
Unlocking the Power of SAM 2 for Few-Shot Segmentation
Qianxiong Xu, Lanyun Zhu, Xuanyi Liu et al.
CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging
Zongzhen Yang, Binhang Qi, Hailong Sun et al.
MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs
Tommaso Mencattini, Adrian Robert Minut, Donato Crisostomi et al.
MGDA Converges under Generalized Smoothness, Provably
Qi Zhang, Peiyao Xiao, Shaofeng Zou et al.
Synonymous Variational Inference for Perceptual Image Compression
Zijian Liang, Kai Niu, Changshuo Wang et al.
Multilingual Contextualization of Large Language Models for Document-Level Machine Translation
Miguel Moura Ramos, Patrick Fernandes, Sweta Agrawal et al.
Tree-Sliced Wasserstein Distance: A Geometric Perspective
Viet Hoang Tran, Trang Pham, Tho Tran Huu et al.
Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness
Konstantinos Oikonomidis, Jan Quan, Emanuel Laude et al.
Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach
Xu Zhang, Kaidi Xu, Ziqing Hu et al.
Textured Mesh Saliency: Bridging Geometry and Texture for Human Perception in 3D Graphics
Kaiwei Zhang, Dandan Zhu, Xiongkuo Min et al.
Robust Multi-bit Text Watermark with LLM-based Paraphrasers
Xiaojun Xu, jinghan jia, Yuanshun Yao et al.
Positional Biases Shift as Inputs Approach Context Window Limits
Blerta Veseli, Julian Chibane, Mariya Toneva et al.
VideoSAVi: Self-Aligned Video Language Models without Human Supervision
Yogesh Kulkarni, Pooyan Fazli
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators
Harry Zhang, Luca Carlone
LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning
Zihang Liu, Tianyu Pang, Oleg Balabanov et al.
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization
Jiaxin Deng, Junbiao Pang, Baochang Zhang et al.
Latent Radiance Fields with 3D-aware 2D Representations
Chaoyi Zhou, Xi Liu, Feng Luo et al.
One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework
Feiran Li, Qianqian Xu, Shilong Bao et al.
mmFAS: Multimodal Face Anti-Spoofing Using Multi-Level Alignment and Switch-Attention Fusion
Geng Chen, Wuyuan Xie, Di Lin et al.
ZETA: Leveraging $Z$-order Curves for Efficient Top-$k$ Attention
Qiuhao Zeng, Jierui Huang, Peng Lu et al.
KV Shifting Attention Enhances Language Modeling
Mingyu Xu, Bingning Wang, Weipeng Chen
Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo
Filip Ekström Kelvinius, Zheng Zhao, Fredrik Lindsten
CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment
Yating Liu, Yujie Zhang, Ziyu Shan et al.
Clone-Robust AI Alignment
Ariel Procaccia, Benjamin Schiffer, Shirley Zhang
Learning-Augmented Hierarchical Clustering
Vladimir Braverman, Jon C. Ergun, Chen Wang et al.
From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs
Ang Cao, Sergio Arnaud, Oleksandr Maksymets et al.
LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification
Yiding Lu, Mouxing Yang, Dezhong Peng et al.
SCOPE: Sign Language Contextual Processing with Embedding from LLMs
Yuqi Liu, Wenqian Zhang, Sihan Ren et al.
Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning
Mehrdad Moghimi, Hyejin Ku
WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction
Fanmeng Wang, Minjie Cheng, Hongteng Xu
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
Bowen Liu, Haoyang Li, Shuning Wang et al.
Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning
Xiaochuan Li, Zichun Yu, Chenyan Xiong
Few-Shot, No Problem: Descriptive Continual Relation Extraction
Nguyen Xuan Thanh, Anh Duc Le, Quyen Tran et al.
DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors
Yunlong Lin, Zhenqi Fu, Kairun Wen et al.
Differential Privacy Under Class Imbalance: Methods and Empirical Insights
Lucas Rosenblatt, Yuliia Lut, Ethan Turok et al.
How to Verify Any (Reasonable) Distribution Property: Computationally Sound Argument Systems for Distributions
Tal Herman, Guy Rothblum
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images
Yihang Liu, Lianghua He, Ying Wen et al.
Shallow diffusion networks provably learn hidden low-dimensional structure
Nicholas Boffi, Arthur Jacot, Stephen Tu et al.
Conditional Diffusion Models Based Conditional Independence Testing
Yanfeng Yang, Shuai Li, Yingjie Zhang et al.
Exploring a Principled Framework for Deep Subspace Clustering
Xianghan Meng, Zhiyuan Huang, Wei He et al.
Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
Thomas Massena, Léo Andéol, Thibaut Boissin et al.
ELITE: Enhanced Language-Image Toxicity Evaluation for Safety
Wonjun Lee, Doehyeon Lee, Eugene Choi et al.
M3-JEPA: Multimodal Alignment via Multi-gate MoE based on the Joint-Embedding Predictive Architecture
Hongyang Lei, Xiaolong Cheng, Qi Qin et al.
Learning High-Degree Parities: The Crucial Role of the Initialization
Emmanuel Abbe, Elisabetta Cornacchia, Jan Hązła et al.
Logarithmic Regret for Online KL-Regularized Reinforcement Learning
Heyang Zhao, Chenlu Ye, Wei Xiong et al.
Exploring the Design Space of Visual Context Representation in Video MLLMs
Yifan Du, Yuqi Huo, Kun Zhou et al.
Variational Search Distributions
Dan Steinberg, Rafael Oliveira, Cheng Soon Ong et al.
A Simple Graph Contrastive Learning Framework for Short Text Classification
Yonghao Liu, Fausto Giunchiglia, Lan Huang et al.
Decoupling Appearance Variations with 3D Consistent Features in Gaussian Splatting
Jiaqi Lin, Zhihao Li, Binxiao Huang et al.
On Generalization Across Environments In Multi-Objective Reinforcement Learning
Jayden Teoh, Pradeep Varakantham, Peter Vamplew
Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models
Chengyu Du, Jinyi Han, Yizhou Ying et al.
LiteSearch: Efficient Tree Search with Dynamic Exploration Budget for Math Reasoning
Ante Wang, Linfeng Song, Ye Tian et al.
Preserving AUC Fairness in Learning with Noisy Protected Groups
Mingyang Wu, Li Lin, Wenbin Zhang et al.
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning
Ziming Liu, Jingcai Guo, Song Guo et al.
APIRL: Deep Reinforcement Learning for REST API Fuzzing
Myles Foley, Sergio Maffeis
Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization
Jianing Wang, Yang Zhou, Xiaocheng Zhang et al.
Sharpness-Aware Black-Box Optimization
Feiyang YE, YUEMING LYU, Xuehao Wang et al.
Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On
Siqi Wan, Jingwen Chen, Yingwei Pan et al.
Matching While Perceiving: Enhance Image Feature Matching with Applicable Semantic Amalgamation
Shihua Zhang, Zhenjie Zhu, Zizhuo Li et al.
Storynizor: Consistent Story Generation via Inter-Frame Synchronized and Shuffled ID Injection
Yuhang Ma, Wenting Xu, Chaoyi Zhao et al.
Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP
Yayuan Li, Jintao Guo, Lei Qi et al.
Diversity-Rewarded CFG Distillation
Geoffrey Cideron, Andrea Agostinelli, Johan Ferret et al.
Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation
Xovee Xu, Yifan Zhang, Fan Zhou et al.
Does Data Scaling Lead to Visual Compositional Generalization?
Arnas Uselis, Andrea Dittadi, Seong Joon Oh
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model
Yujun Li, Hongyuan Zhang, Yuan Yuan
In-Context Learning and Occam's Razor
Eric Elmoznino, Tom Marty, Tejas Kasetty et al.
Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery
Yanyi Li, Xi Zhang, Yisi Luo et al.
Towards Realistic Semi-supervised Medical Image Classification
Wenxue Li, Lie Ju, Feilong Tang et al.
Hyperbolic-Constraint Point Cloud Reconstruction from Single RGB-D Images
Wenrui Li, Zhe Yang, Wei Han et al.
Dimension-Independent Rates for Structured Neural Density Estimation
Vandermeulen, Wai Ming Tai, Bryon Aragam
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models
GuangHao Meng, Sunan He, Jinpeng Wang et al.
DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation
Fan Wang, Chaochao Chen, Weiming Liu et al.
Revisiting CAD Model Generation by Learning Raster Sketch
Pu Li, Wenhao Zhang, Jianwei Guo et al.
Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition
Xinyu Tian, Shu Zou, Zhaoyuan Yang et al.
Drop the Beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation
Ziqian Ning, Shuai Wang, Yuepeng Jiang et al.
Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs
Yu-Zhe Shi, Mingchen Liu, Fanxu Meng et al.
VIP: Vision Instructed Pre-training for Robotic Manipulation
Zhuoling Li, LiangLiang Ren, Jinrong Yang et al.
CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning
Quanmin Wei, Penglin Dai, Wei Li et al.
UTILITY: Utilizing Explainable Reinforcement Learning to Improve Reinforcement Learning
Shicheng Liu, Minghui Zhu
Exploring Activation Patterns of Parameters in Language Models
Yudong Wang, Damai Dai, Zhe Yang et al.
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
Guan Zhong, Likang Wu, Hongke Zhao et al.
Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis
Weiwei Lin, Chenhang HE
Denoising with a Joint-Embedding Predictive Architecture
Chen Dengsheng, Jie Hu, Xiaoming Wei et al.
Don’t lie to your friends: Learning what you know from collaborative self-play
Jacob Eisenstein, Reza Aghajani, Adam Fisch et al.
Core Context Aware Transformers for Long Context Language Modeling
Yaofo Chen, Zeng You, Shuhai Zhang et al.
Unlocking Point Processes through Point Set Diffusion
David Lüdke, Enric Rabasseda Raventós, Marcel Kollovieh et al.
Importance Corrected Neural JKO Sampling
Johannes Hertrich, Robert Gruhlke
3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery
Xiuyuan Hu, Guoqing Liu, Can Chen et al.
Learning Spatial-Semantic Features for Robust Video Object Segmentation
Xin Li, Deshui Miao, Zhenyu He et al.
Compressed and distributed least-squares regression: convergence rates with applications to federated learning
Constantin Philippenko, Aymeric Dieuleveut
An Evolved Universal Transformer Memory
Edoardo Cetin, Qi Sun, Tianyu Zhao et al.
CommVQ: Commutative Vector Quantization for KV Cache Compression
Junyan Li, Yang Zhang, Muhammad Yusuf Hassan et al.
Analytic DAG Constraints for Differentiable DAG Learning
Zhen Zhang, Ignavier Ng, Dong Gong et al.
CSA: Data-efficient Mapping of Unimodal Features to Multimodal Features
Po-han Li, Sandeep Chinchali, ufuk topcu
Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales
Xinyu Yang, Yu Sun, Xinyang Chen et al.
David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training
Weijian Luo, colin zhang, Debing Zhang et al.
Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM
Zirui Pan, Xin Wang, Yipeng Zhang et al.
SPEX: Scaling Feature Interaction Explanations for LLMs
Justin S. Kang, Landon Butler, Abhineet Agarwal et al.
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas, Muneeza Azmat, Raya Horesh et al.
Learning Equivariant Non-Local Electron Density Functionals
Nicholas Gao, Eike Eberhard, Stephan Günnemann
UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting
Haoyuan Li, Yanpeng Zhou, Tao Tang et al.
Multi-Scale Fusion for Object Representation
Rongzhen Zhao, Vivienne Huiling Wang, Juho Kannala et al.
HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting
Nian Ran, Peng Xiao, Yue Wang et al.
Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation
Suho Park, SuBeen Lee, Hyun Seok Seong et al.
CryoFM: A Flow-based Foundation Model for Cryo-EM Densities
Yi Zhou, Yilai Li, Jing Yuan et al.
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation
Sarthak Kumar Maharana, Baoming Zhang, Yunhui Guo
SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models
Muxi Diao, Rumei Li, Shiyang Liu et al.
Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach
Hugo Math, Rainer Lienhart, Robin Schön
Homophily Enhanced Graph Domain Adaptation
Ruiyi Fang, Bingheng Li, Jingyu Zhao et al.
Color Transfer with Modulated Flows
Maria Larchenko, Alexander Lobashev, Dmitry Guskov et al.
SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics
Suyuan Zhao, YIZHEN LUO, Ganbo Yang et al.
Is There No Such Thing as a Bad Question? H4R: HalluciBot for Ratiocination, Rewriting, Ranking, and Routing
William Watson, Nicole Cho, Nishan Srishankar
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions
Yan Ru Pei
DMOSpeech: Direct Metric Optimization via Distilled Diffusion Model in Zero-Shot Speech Synthesis
Yinghao Li, Rithesh Kumar, Zeyu Jin
$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
Xingjian Wu, Xiangfei Qiu, Hongfan Gao et al.
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks
Emanuel Sommer, Jakob Robnik, Giorgi Nozadze et al.
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model
Siwei Xia, Li Sun, Tiantian Sun et al.
LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models
Jinho Chang, Jong Chul YE
TGBFormer: Transformer-GraphFormer Blender Network for Video Object Detection
Qiang Qi, Xiao Wang
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
Ao Li, Wei Fang, Hongbo Zhao et al.
FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields
Gwanhyeong Koo, Sunjae Yoon, Younghwan Lee et al.
Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback
Zexu Sun, Yiju Guo, Yankai Lin et al.
Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning
Adrià López Escoriza, Nicklas Hansen, Stone Tao et al.
Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models
Yuchen Fan, Yuzhong Hong, Qiushi Wang et al.
Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization
Timofei Gritsaev, Nikita Morozov, Sergey Samsonov et al.
Focus On This, Not That! Steering LLMs with Adaptive Feature Specification
Tom A. Lamb, Adam Davies, Alasdair J Paren et al.
Universal Neural Optimal Transport
Jonathan Geuter, Gregor Kornhardt, Ingimar Tomasson et al.
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance
Shogo Iwazaki, Shion Takeno
Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling
Yifan Yang, Gang Chen, Hui Ma et al.
RepoST: Scalable Repository-Level Coding Environment Construction with Sandbox Testing
Yiqing Xie, Alex Xie, Divyanshu Sheth et al.
Progressive Compression with Universally Quantized Diffusion Models
Yibo Yang, Justus Will, Stephan Mandt
CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression
Xinjie Zhang, Shenyuan Gao, Zhening Liu et al.
LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data
Peer Nagy, Sascha Frey, Kang Li et al.
Self-Updatable Large Language Models by Integrating Context into Model Parameters
Yu Wang, Xinshuang Liu, Xiusi Chen et al.
How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and Confidence
Hongzhe Du, Weikai Li, Min Cai et al.
C2PD: Continuity-Constrained Pixelwise Deformation for Guided Depth Super-Resolution
Jiahui Kang, Qing Cai, Runqing Tan et al.
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents
Tristan Tomilin, Meng Fang, Mykola Pechenizkiy
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data
Alexander Kolesov, S. Manukhov, Vladimir Palyulin et al.
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
Grace Zhang, Ayush Jain, Injune Hwang et al.
A Certified Unlearning Approach without Access to Source Data
Umit Basaran, Sk Miraj Ahmed, Amit Roy-Chowdhury et al.
Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models
Shizhan Gong, Yankai Jiang, DOU QI et al.
Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy
Haoqi Wu, Wei Dai, Wang Li et al.
Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks
Nikolaos Tsilivis, Gal Vardi, Julia Kempe
Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching
Lei Yuan, Yuqi Bian, Lihe Li et al.
DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models
Zhiheng Huang, Yannan Liu, Daojing He et al.
BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing
Dongliang Guo, Mengxuan Hu, Zihan Guan et al.
RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy
Geonho Lee, Janghwan Lee, Sukjin Hong et al.
Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity
Tianqi Shen, Shaohua Liu, Jiaqi Feng et al.
HOLa: Zero-Shot HOI Detection with Low-Rank Decomposed VLM Feature Adaptation
Qinqian Lei, Bo Wang, Robby Tan
Birth and Death of a Rose
Chen Geng, Yunzhi Zhang, Shangzhe Wu et al.
4Deform: Neural Surface Deformation for Robust Shape Interpolation
Lu Sang, Zehranaz Canfes, Dongliang Cao et al.
HUSH: Holistic Panoramic 3D Scene Understanding using Spherical Harmonics
Jongsung Lee, HARIN PARK, Byeong-Uk Lee et al.
Enhancing Facial Privacy Protection via Weakening Diffusion Purification
Ali Salar, Qing Liu, Yingli Tian et al.
OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP
Mohamad Hassan N C, Divyam Gupta, Mainak Singha et al.
SimVS: Simulating World Inconsistencies for Robust View Synthesis
Alex Trevithick, Roni Paiss, Philipp Henzler et al.
Long Video Diffusion Generation with Segmented Cross-Attention and Content-Rich Video Data Curation
Xin Yan, Yuxuan Cai, Qiuyue Wang et al.
Learning Heterogeneous Tissues with Mixture of Experts for Gigapixel Whole Slide Images
Junxian Wu, Minheng Chen, Xinyi Ke et al.
Hardware-Rasterized Ray-Based Gaussian Splatting
Samuel Rota Bulò, Lorenzo Porzi, Nemanja Bartolovic et al.
Locality-Aware Zero-Shot Human-Object Interaction Detection
Sanghyun Kim, Deunsol Jung, Minsu Cho
Interpretable Generative Models through Post-hoc Concept Bottlenecks
Akshay R. Kulkarni, Ge Yan, Chung-En Sun et al.
MITracker: Multi-View Integration for Visual Object Tracking
Mengjie Xu, Yitao Zhu, Haotian Jiang et al.
HyperLoRA: Parameter-Efficient Adaptive Generation for Portrait Synthesis
Mengtian Li, Jinshu Chen, Wanquan Feng et al.
Robust Message Embedding via Attention Flow-Based Steganography
Huayuan Ye, Shenzhuo Zhang, Shiqi Jiang et al.
ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping
Shun Iwase, Muhammad Zubair Irshad, Katherine Liu et al.