Most Cited 2025 "denoising diffusion implicit models" Papers
22,274 papers found • Page 101 of 112
Conference
TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging
Chuang Liu, Hongyan Xu, Yichao Cao et al.
NightReID: A Large-Scale Nighttime Person Re-Identification Benchmark
Yuxuan Zhao, Weijian Ruan, He Li et al.
ESEG: Event-Based Segmentation Boosted by Explicit Edge-Semantic Guidance
Yucheng Zhao, Gengyu Lyu, Ke Li et al.
LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision
Jiani Huang, Ziyang Li, Mayur Naik et al.
Audio-Visual Adaptive Fusion Network for Question Answering Based on Contrastive Learning
Xujian Zhao, Yixin Wang, Peiquan Jin
LGDM: Latent Guidance in Diffusion Models for Perceptual Evaluations
Shreshth Saini, Ru-Ling Liao, Yan Ye et al.
MDDM: Practical Message-Driven Generative Image Steganography Based on Diffusion Models
Zihao Xu, Dawei xu, Zihan Li et al.
Heuristic-free Knowledge Distillation for Streaming ASR via Multi-modal Training
Ji Won Yoon
Training-free Open-Vocabulary Semantic Segmentation via Diverse Prototype Construction and Sub-region Matching
Xuanpu Zhao, Dianmo Sheng, Zhentao Tan et al.
A New Concentration Inequality for Sampling Without Replacement and Its Application for Transductive Learning
Yingzhen Yang
Adaptive Localization of Knowledge Negation for Continual LLM Unlearning
Abudukelimu Wuerkaixi, Qizhou Wang, Sen Cui et al.
Excluding the Impossible for Open Vocabulary Semantic Segmentation
Shiyuan Zhao, Baodi Liu, Yu Bai et al.
Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural Representation
Hongxu Zhao, Zelin Gao, Yue Wang et al.
RuleAdapter: Dynamic Rules for training Safety Reward Models in RLHF
Xiaomin Li, Mingye Gao, Zhiwei Zhang et al.
Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions
Geonho Hwang, Yeachan Park, Wonyeol Lee et al.
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation
Taehyun Cho, Seungyub Han, Seokhun Ju et al.
Scaling Laws for Downstream Task Performance in Machine Translation
Berivan Isik, NATALIA PONOMAREVA, Hussein Hazimeh et al.
Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition
Zhicheng Zhang, Hao Tang, Jinhui Tang
Fragments to Facts: Partial-Information Fragment Inference from LLMs
Lucas Rosenblatt, Bin Han, Robert Wolfe et al.
Training-Free Image Manipulation Localization Using Diffusion Models
Zhenfei Zhang, Ming-Ching Chang, Xin Li
Policy-labeled Preference Learning: Is Preference Enough for RLHF?
Taehyun Cho, Seokhun Ju, Seungyub Han et al.
RP-PGD: Boosting Segmentation Robustness with a Region-and-Prototype Based Adversarial Attack
Yuxuan Zhang, Zhenbo Shi, Shuchang Wang et al.
ParFam -- (Neural Guided) Symbolic Regression via Continuous Global Optimization
Philipp Scholl, Katharina Bieker, Hillary Hauger et al.
Partial Point Cloud Registration with Multi-view 2D Image Learning
Yue Zhang, Yue Wu, Wenping Ma et al.
InstantSticker: Realistic Decal Blending via Disentangled Object Reconstruction
Yi Zhang, Xiaoyang Huang, Yishun Dou et al.
Improved Theoretically-Grounded Evolutionary Algorithms for Subset Selection with a Linear Cost Constraint
Dan-Xuan Liu, Chao Qian
Noise-Guided Predicate Representation Extraction and Diffusion-Enhanced Discretization for Scene Graph Generation
Guoqing Zhang, Shichao Kan, Fanghui Zhang et al.
On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models
Xu-Hui Liu, Yali Du, Jun Wang et al.
PhyCamo: A Robust Physical Camouflage via Contrastive Learning for Multi-View Physical Adversarial Attack
Ximin Zhang, Jinyin Chen, Haibin Zheng et al.
Enhancing Multimodal Large Language Models Complex Reason via Similarity Computation
Xiaofeng Zhang, Fanshuo Zeng, Yihao Quan et al.
Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate
Jiahe Du, Kaixiong Zhou, Xinyu Hong et al.
Reverse-engineering NLI: A study of the meta-inferential properties of Natural Language Inference
Rasmus Blanck, Bill Noble, Stergios Chatzikyriakidis
Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning
Xiang Zhang, Wanqing Zhao, Pengyang Li et al.
pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation
Shentong Mo, Xufang Luo, Dongsheng Li
HIPPO-VIDEO : Simulating Watch Histories with Large Language Models for History-Driven Video Highlighting
Jeongeun Lee, Youngjae Yu, Dongha Lee
Optimal Information Retention for Time-Series Explanations
Jinghang Yue, Jing Wang, Lu Zhang et al.
FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
Yichen Li, Yuying Wang, Haozhao Wang et al.
Pragmatist: Multiview Conditional Diffusion Models for High-Fidelity 3D Reconstruction from Unposed Sparse Views
Songchun Zhang, Chunhui Zhao
VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems
Xudong Gong, Feng Dawei, Kele Xu et al.
DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection
Shuo Zhang, Jiaming Huang, Wenbing Tang et al.
Neurosymbolic World Models for Sequential Decision Making
Leonardo Hernandez Cano, Maxine Perroni-Scharf, Neil Dhir et al.
AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection
Wei Dai, Jicong Fan
Visual Perturbation for Text-Based Person Search
Pengcheng Zhang, Xiaohan Yu, Xiao Bai et al.
K-HALU: Multiple Answer Korean Hallucination Benchmark for Large Language Models
Jaehyung Seo, Heuiseok Lim
SIGraph: Saliency Image-Graph Network for Retinal Disease Classification in Fundus Image
Peng Zhang, Yuan Li, Haotian Song et al.
Continuity-Preserving Convolutional Autoencoders for Learning Continuous Latent Dynamical Models from Images
Aiqing Zhu, Yuting Pan, Qianxiao Li
The Unlearning Mirage: A Dynamic Framework for Evaluating LLM Unlearning
Raj Sanjay Shah, Jing Huang, Keerthiram Murugesan et al.
PanoDiT: Panoramic Videos Generation with Diffusion Transformer
Muyang Zhang, Yuzhi Chen, Rongtao Xu et al.
Decoupling Scattering: Pseudo-Label Guided NeRF for Scenes with Scattering Media
Mingyang Zhang, Junkang Zhang, Faming Fang et al.
MOCID: Motion Context and Displacement Information Learning for Moving Infrared Small Target Detection
Mingjin Zhang, Yuanjun Ouyang, Fei Gao et al.
IRMamba: Pixel Difference Mamba with Layer Restoration for Infrared Small Target Detection
Mingjin Zhang, Xiaolong Li, Fei Gao et al.
Common Sense Bias Modeling for Classification Tasks
Miao Zhang, Zee Fryer, Ben Colman et al.
LLMs Can Reason Faster Only If We Let Them
Bilgehan Sel, Lifu Huang, Naren Ramakrishnan et al.
R^2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy
Li Zhang, Haonan Jiang, Yukang Huo et al.
Making Transformer Decoders Better Differentiable Indexers
Wuchao Li, Kai Zheng, Defu Lian et al.
Counting atoms faster: policy-based nuclear magnetic resonance pulse sequencing for atomic abundance measurement
Rohan Shenoy, Evan Coleman, Hans Gaensbauer et al.
Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium
Runyu Lu, Yuanheng Zhu, Dongbin Zhao
The Generalized Skew Spectrum of Graphs
Armando Bellante, Martin Plávala, Alessandro Luongo
Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective
Joonkyu Kim, Yejin Kim, Jy-yong Sohn
Online Conformal Prediction via Online Optimization
Felipe Areces, Christopher Mohri, Tatsunori Hashimoto et al.
Integer Programming for Generalized Causal Bootstrap Designs
Jennifer Brennan, Sébastien Lahaie, Adel Javanmard et al.
When Open-Vocabulary Visual Question Answering Meets Causal Adapter: Benchmark and Approach
Feifei Zhang, Zhaoyi Zhang, Xi Zhang et al.
Self-Supervised Learning of Intertwined Content and Positional Features for Object Detection
Kang-Jun Liu, Masanori Suganuma, Takayuki Okatani
Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning
Evelyn Zhang, Jiayi Tang, Xuefei Ning et al.
DetRF: Detachable Novel Views Synthesis of Dynamic Scenes Using Backdrop-Driven Neural Radiance Fields
Boyu Zhang, Zheng Zhu, Wenbo Xu
TGFormer: Transformer with Track Query Group for Multi-Object Tracking
Rui Zeng, Yuanzhou Huang, Songwei Pei
Multi-Modal Object Re-identification via Sparse Mixture-of-Experts
Yingying Feng, Jie Li, Chi Xie et al.
Temporal Misalignment in ANN-SNN Conversion and its Mitigation via Probabilistic Spiking Neurons
Velibor Bojkovic, Xiaofeng Wu, Bin Gu
Enhancing Vision-Language Model with Unmasked Token Alignment
Hongsheng Li, Jihao Liu, Boxiao Liu et al.
CameraCtrl: Enabling Camera Control for Video Diffusion Models
Hao He, Yinghao Xu, Yuwei Guo et al.
Efficient Neural Network Encoding for 3D Color Lookup Tables
Vahid Zehtab, David B. Lindell, Marcus A. Brubaker et al.
Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics
Zaige Fei, Fan Xu, Junyuan Mao et al.
AnalogGenie-Lite: Enhancing Scalability and Precision in Circuit Topology Discovery through Lightweight Graph Modeling
Jian Gao, Weidong Cao, Xuan Zhang
Towards Understanding Parametric Generalized Category Discovery on Graphs
Bowen Deng, Lele Fu, Jialong Chen et al.
An Expressive and Self-Adaptive Dynamical System for Efficient Function Learning
Chuan Liu, Chunshu Wu, Ruibing Song et al.
COExpander: Adaptive Solution Expansion for Combinatorial Optimization
Jiale Ma, Wenzheng Pan, Yang Li et al.
Youku Dense Caption: A Large-scale Chinese Video Dense Caption Dataset and Benchmarks
Zixuan Xiong, Guangwei Xu, wenkai zhang et al.
Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective
Xinmiao Yu, Xiaocheng Feng, Yun Li et al.
OTPNet: ODE-inspired Tuning-free Proximal Network for Remote Sensing Image Fusion
Wei Yu, Zonglin Li, Qinglin Liu et al.
A Visual Dive into Conditional Flow Matching
Anne Gagneux, Ségolène Martin, Rémi Emonet et al.
Investigating the Security Threat Arising from “Yes-No” Implicit Bias in Large Language Models
Yanrui Du, Sendong Zhao, Ming Ma et al.
Learning Changes in Graphon Attachment Network Models
Xinyuan Fan, Bufan Li, Chenlei Leng et al.
polybasic Speculative Decoding Through a Theoretical Perspective
Ruilin Wang, Huixia Li, Yuexiao Ma et al.
PDUDT: Provable Decentralized Unlearning under Dynamic Topologies
Jing Qiao, Yu Liu, Zengzhe Chen et al.
SHE: Streaming-media Hashing Retrieval
Ruitao Pu, Yang Qin, Xiaomin Song et al.
Fine-grained Adaptive Visual Prompt for Generative Medical Visual Question Answering
Ting Yu, Zixuan Tong, Jun Yu et al.
Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning
Shihan Dou, Yan Liu, Enyu Zhou et al.
STGC-NeRF: Spatial-Temporal Geometric Consistency for LiDAR Neural Radiance Fields in Dynamic Scenes
Shangshu Yu, Xiaotian Sun, Wen Li et al.
ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models
Qing Yu, Mikihiro Tanaka, Kent Fujiwara
Separating the Wheat from the Chaff: Spatio-Temporal Transformer with View-interweaved Attention for Photon-Efficient Depth Sensing
Letian Yu, Jiaxi Yang, Bo Dong et al.
Sort Before You Prune: Improved Worst-Case Guarantees of the DiskANN Family of Graphs
Siddharth Gollapudi, Ravishankar Krishnaswamy, Kirankumar Shiragur et al.
Adaptive Estimation and Learning under Temporal Distribution Shift
Dheeraj Baby, Yifei Tang, Hieu Nguyen et al.
Multi-session, multi-task neural decoding from distinct cell-types and brain regions
Mehdi Azabou, Krystal Pan, Vinam Arora et al.
A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization
Kunjie Ren, Luo Luo
An Error Analysis of Flow Matching for Deep Generative Modeling
Zhengyu Zhou, Weiwei Liu
Revisiting Cooperative Off-Policy Multi-Agent Reinforcement Learning
yueheng li, Guangming Xie, Zongqing Lu
SGFormer: Semantic-Geometry Fusion Transformer for Multi-modal 3D Panoptic Segmentation
Hongqi Yu, Sixian Chan, Xiaolong Zhou et al.
Fine-Tuning Language Models with Collaborative and Semantic Experts
Jiaxi Yang, Binyuan Hui, Min Yang et al.
Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression
Andong Wang, Yuning Qiu, Zhong Jin et al.
Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models
Jiyang Zheng, Jialiang Shen, Yu Yao et al.
Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
Hai Zhang, Boyuan Zheng, Tianying Ji et al.
DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models
Jinxiang Xie, Yilin Li, Xunjian Yin et al.
Curvature-aware Graph Attention for PDEs on Manifolds
Yunfeng Liao, Jiawen Guan, Xiucheng Li
FlexDataset: Crafting Annotated Dataset Generation for Diverse Applications
Ellen Yi-Ge, Leo Shawn
PromptHaze: Prompting Real-world Dehazing via Depth Anything Model
Tian Ye, Sixiang Chen, Haoyu Chen et al.
Causal Abstraction Learning based on the Semantic Embedding Principle
Gabriele DAcunto, Fabio Massimo Zennaro, Yorgos Felekis et al.
VersaFusion: A Versatile Diffusion-Based Framework for Fine-Grained Image Editing and Enhancement
Haocun Ye, Xinlong Jiang, Chenlong Gao et al.
As Pseudo-Label Free as Possible: Leveraging Adaptive Feature Generation for Sparsely Annotated Object Detection
Shuilian Yao, Yu Liu, Qi Jia et al.
Separating Knowledge and Perception with Procedural Data
Adrian Rodriguez-Munoz, Manel Baradad, Phillip Isola et al.
Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models
Yiyang Fang, Jian Liang, Wenke Huang et al.
MM-Tracker: Motion Mamba for UAV-platform Multiple Object Tracking
Mufeng Yao, Jinlong Peng, Qingdong He et al.
Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales
Jiaze Xu, Shiyu Xia, Xu Yang et al.
Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation
Guanting Dong, Xiaoshuai Song, Yutao Zhu et al.
Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation
Yi Lu, Wanxu Zhao, Xin Zhou et al.
Beyond Confidence: Exploiting Homogeneous Pattern for Semi-Supervised Semantic Segmentation
Rui Sun, Huayu Mai, Wangkai Li et al.
AKORN: Adaptive Knots generated Online for RegressioN splines
Sunil Madhow, Dheeraj Baby, Yu-Xiang Wang
DiMa: Understanding the Hardness of Online Matching Problems via Diffusion Models
Boyu Zhang, Aocheng Shen, Bing Liu et al.
Mind the Gap: a Spectral Analysis of Rank Collapse and Signal Propagation in Attention Layers
Thiziri Nait Saada, Alireza Naderi, Jared Tanner
Quantifying Treatment Effects: Estimating Risk Ratios via Observational Studies
Ahmed Boughdiri, julie Josse, Erwan Scornet
Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data
Yunze Tong, Fengda Zhang, Zihao Tang et al.
RealPortrait: Realistic Portrait Animation with Diffusion Transformers
Zejun Yang, Huawei Wei, Zhisheng Wang
Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach
Jason Piquenot, Maxime Berar, Romain Raveaux et al.
ERF: A Benchmark Dataset for Robust Semantic Segmentation Under Extreme Rainfall Conditions
Xin Yang, Xin Zhang, Xinchao Wang
Semantic Segmentation on Raindrop Degraded Images Using Two-Stage Dual Teacher-Student Learning
Xin Yang, Wending Yan, Yuan Yuan et al.
WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models
Tan Songbai, Xuerui Qiu, Yao Shu et al.
Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games
Linjian Meng, Wubing Chen, Wenbin Li et al.
DriveGazen: Event-Based Driving Status Recognition Using Conventional Camera
Xiaoyin Yang, Xin Yang
Dual Information Purification for Lightweight SAR Object Detection
Xi Yang, Jiachen Sun, Songsong Duan et al.
Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set
Enming Liang, Minghua Chen
Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring
Wen Yang, Jinjian Wu, Leida Li et al.
Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space
Mengjing Wu, Junyu Xuan, Jie Lu
On the Fourier analysis in the SO(3) space : the EquiLoPO Network
Dmitrii Zhemchuzhnikov, Sergei Grudinin
Mixture of Hidden-Dimensions: Not All Hidden-States’ Dimensions are Needed in Transformer
Yilong Chen, Junyuan Shang, Zhenyu Zhang et al.
3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly Detection
Enquan Yang, Peng Xing, Hanyang Sun et al.
Feature out! Let Raw Image as Your Condition for Blind Face Restoration
XINMIN QIU, Gege Chen, Bonan Li et al.
Robust Image Hashing Based on Contrastive Masked Autoencoder with Weak-Strong Augmentation Alignment
Cundian Yang, Guibo Luo, Yuesheng Zhu et al.
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models
YangTian Yan, Jinyu Tian
Learning dynamics in linear recurrent neural networks
Alexandra Proca, Clémentine Dominé, Murray Shanahan et al.
Benign Overfitting in Token Selection of Attention Mechanism
Keitaro Sakamoto, Issei Sato
Physical Marker: Revealing Invisible Hyperlinks Hidden in Printed Trademarks
Yuliang Xue, Lei Tan, Guobiao Li et al.
RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection Prompting
Wen Xue, Chun Ding, Ruotao Xu et al.
KoNODE: Koopman-Driven Neural Ordinary Differential Equations with Evolving Parameters for Time Series Analysis
Hanru Bai, Weiyang Ding
Structure-informed Risk Minimization for Robust Ensemble Learning
Fengchun Qiao, Yanlin Chen, Xi Peng
Feasible Action Search for Bandit Linear Programs via Thompson Sampling
Aditya Gangrade, Aldo Pacchiano, Clay Scott et al.
Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning
Zhenghai Xue, Lang Feng, Jiacheng Xu et al.
dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation
Emanuele Zangrando, Sara Venturini, Francesco Rinaldi et al.
Deep Streaming View Clustering
Honglin Yuan, Xingfeng Li, Jian Dai et al.
Prediction-Aware Learning in Multi-Agent Systems
Aymeric Capitaine, Etienne Boursier, Eric Moulines et al.
Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams
Yuan Feng, Yukun Cao, Hairu Wang et al.
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP
Zhongxing Xu, Feilong Tang, Zhe Chen et al.
FATE: Feature-Adapted Parameter Tuning for Vision-Language Models
Zhengqin Xu, Zelin Peng, Xiaokang Yang et al.
G1yphD3c0de: Towards Safer Language Models on Visually Perturbed Texts
Yejinchoi, Yejin Yeo, Yejin Son et al.
MAESTRO: Masked Encoding Set Transformer with Self-Distillation
Matthew Lee, Jaesik Kim, Matei Ionita et al.
Structure Is All You Need: Structural Representation Learning on Hyper-Relational Knowledge Graphs
Jaejun Lee, Joyce Whang
VerbalTS: Generating Time Series from Texts
Shuqi Gu, Chuyue Li, Baoyu Jing et al.
HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection
Yongchao Xu, Jiawei Liu, Sen Tao et al.
Provably Safeguarding a Classifier from OOD and Adversarial Samples
Nicolas Atienza, Johanne Cohen, Christophe Labreuche et al.
TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack
Feiyang Wang, Xingquan Zuo, Hai Huang et al.
Learning Vision and Language Concepts for Controllable Image Generation
Shaoan Xie, Lingjing Kong, Yujia Zheng et al.
Learning Classifiers That Induce Markets
Yonatan Sommer, Ivri Hikri, lotan amit et al.
SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection
Ruoyu Xu, Zhiyu Xiang, Chenwei Zhang et al.
Multiple Feature Refining Network for Visual Emotion Distribution Learning
Qinfu Xu, Shaozu Yuan, Yiwei Wei et al.
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification
Ben Dai
GANDALF: Generative AttentioN based Data Augmentation and predictive modeLing Framework for personalized cancer treatment
Aishwarya Jayagopal, Yanrong Zhang, Robert Walsh et al.
Stability and Generalization Capability of Subgraph Reasoning Models for Inductive Knowledge Graph Completion
Minsung Hwang, Jaejun Lee, Joyce Whang
In Search of the Engram in LLMs: A Neuroscience Perspective on the Memory Functions in AI Models
Minsung Kim, Jea Kwon, Dong-Kyum Kim et al.
Explicitly Guided Difficulty-Controllable Visual Question Generation
Jiayuan Xie, Mengqiu Cheng, Xinting Zhang et al.
Towards Unbiased Learning in Semi-Supervised Semantic Segmentation
Rui Sun, Huayu Mai, Wangkai Li et al.
3DHumanEdit: Multi-modal Body Part-aware Conditioning Information Integration for 3D Human Manipulation
FeiFan Xu, Tianyi Chen, Fan Yang et al.
Matérn Kernels for Tunable Implicit Surface Reconstruction
Maximilian Weiherer, Bernhard Egger
Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models
Haoyu Wang, Shikun Liu, Rongzhe Wei et al.
A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features
Ihab Bendidi, Yassir El Mesbahi, Alisandra Denton et al.
Less Is More: Token Context-Aware Learning for Object Tracking
Chenlong Xu, Bineng Zhong, Qihua Liang et al.
Ad-Hoc Human-AI Coordination Challenge
Tin Dizdarevic, Ravi Hammond, Tobias Gessler et al.
Revisiting Unbiased Implicit Variational Inference
Tobias Pielok, Bernd Bischl, David Rügamer
FR²Seg: Continual Segmentation Across Multiple Sites via Fourier Style Replay and Adaptive Consistency Regularization
Cheng Xu, Weiwen Zhang, Hongrui Zhang et al.
Rethinking Shapley Value for Negative Interactions in Non-convex Games
Wonjoon Chang, Myeongjin Lee, Jaesik Choi
DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles
Chejian Xu, Aleksandr Petiushko, Ding Zhao et al.
Towards a Complete Logical Framework for GNN Expressiveness
Tuo Xu
MAI: A Multi-turn Aggregation-Iteration Model for Composed Image Retrieval
Yanzhe Chen, Zhiwen Yang, Jinglin Xu et al.
Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic Segmentation
Jingqiao Xiu, Mengze Li, Zongxin Yang et al.
Discrete Prior-Based Temporal-Coherent Content Prediction for Blind Face Video Restoration
Lianxin Xie, Bingbing Zheng, Wen Xue et al.
Learning Diagrams: A Graphical Language for Compositional Training Regimes
Mason Lary, Richard Samuelson, Alexander Wilentz et al.
Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic Segmentation
Jianxiang Xie, Yao Wu, Yachao Zhang et al.
SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion
Junwei Su, shan Wu
Boosting Vision State Space Model with Fractal Scanning
Haoke Xiao, Lv Tang, Peng-tao Jiang et al.
SMR-Net: Semantic-Guided Mutually Reinforcing Network for Cross-Modal Image Fusion and Salient Object Detection
Guobao Xiao, Xinyu Liu, Zebin Lin et al.
Can Watermarks be Used to Detect LLM IP Infringement For Free?
Zhengyue Zhao, Xiaogeng Liu, Somesh Jha et al.
Content-free Logical Modification of Large Language Model by Disentangling and Modifying Logic Representation
Xin Wu, Yuqi Bu, Yifei Chen et al.
Eigen Analysis of Conjugate Kernel and Neural Tangent Kernel
Xiangchao Li, Xiao Han, Qing Yang
Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning
Minqi Yu, Jinduo Liu, Junzhong Ji
Online Clustering of Dueling Bandits
Zhiyong Wang, Jiahang Sun, Mingze Kong et al.
CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing
Xiaole Xian, Xilin He, Zenghao Niu et al.
PlaNet: Learning to Mitigate Atmospheric Turbulence in Planetary Images
Yifei Xia, Chu Zhou, Chengxuan Zhu et al.
Heads up! Large Language Models Can Perform Tasks Without Your Instruction via Selective Attention Head Masking
Senyu Han, Hongchuan Zeng, Kai Yu et al.
RETRACTED: GEONet: Global Enhancement and Optimization Network for Lane Detection
Suyang Xi, Yunhao Liu, Hong Ding et al.
Unified Knowledge Maintenance Pruning and Progressive Recovery with Weight Recalling for Large Vision-Language Models
Zimeng Wu, Jiaxin Chen, Yunhong Wang
When do GFlowNets learn the right distribution?
Tiago Silva, Rodrigo Alves, Eliezer de Souza da Silva et al.
MUCD: Unsupervised Point Cloud Change Detection via Masked Consistency
Yue Wu, Zhipeng Wang, Yongzhe Yuan et al.
Wayward Concepts In Multimodal Models
Brandon Trabucco, Max Gurinas, Kyle Doherty et al.