Most Cited 2025 "llm-based embedding" Papers
22,274 papers found • Page 68 of 112
Conference
The Limits of Predicting Agents from Behaviour
Alexis Bellot, Jonathan Richens, Tom Everitt
Union-over-Intersections: Object Detection beyond Winner-Takes-All
Aritra Bhowmik, Pascal Mettes, Martin R. Oswald et al.
Decoupled SGDA for Games with Intermittent Strategy Communication
Ali Zindari, Parham Yazdkhasti, Anton Rodomanov et al.
BILBO: BILevel Bayesian Optimization
Ruth Wan Theng Chew, Quoc Phong Nguyen, Bryan Kian Hsiang Low
Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation
Yibo Wang, Yingchun Jian, Wenhao Yang et al.
NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
Myunsoo Kim, Hayeong Lee, Seong-Woong Shim et al.
M^3EL: A Multi-task Multi-topic Dataset for Multi-modal Entity Linking
Fang Wang, Shenglin Yin, Xiaoying Bai et al.
POI Recommendation via Multi-Objective Adversarial Imitation Learning
Zhenglin Wan, Anjun Gao, Xingrui Yu et al.
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting
Peiwang Tang, Weitai Zhang
EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion
Yuchen Sun, Qianqian Xu, Zitai Wang et al.
Improving Compositional Generation with Diffusion Models Using Lift Scores
Chenning Yu, Sicun Gao
Learning Mean Field Control on Sparse Graphs
Christian Fabian, Kai Cui, Heinz Koeppl
Flow-based Domain Randomization for Learning and Sequencing Robotic Skills
Aidan Curtis, Eric Li, Michael S Noseworthy et al.
PIPA: Preference Alignment as Prior-Informed Statistical Estimation
Junbo Li, Zhangyang “Atlas” Wang, qiang liu
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models
Xinting Liao, Weiming Liu, Jiaming Qian et al.
InCoDe: Interpretable Compressed Descriptions For Image Generation
Armand Comas, Aditya Chattopadhyay, Feliu Formosa et al.
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights
Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi et al.
Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion
Kai Mao, Yiyang Lian, Yangyang Wang et al.
Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?
Guiomar Pescador-Barrios, Sarah Filippi, Mark van der Wilk
S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
Tengfei Ma, Yujie Chen, Liang Wang et al.
Test-Time Adaptation with Binary Feedback
Taeckyung Lee, Sorn Chottananurak, Junsu Kim et al.
Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres
Muskan Dosi, Chiranjeev Chiranjeev, Kartik Thakral et al.
UTF-8 Plumbing: Byte-level Tokenizers Unavoidably Enable LLMs to Generate Ill-formed UTF-8
Preston Firestone, Shubham Ugare, Gagandeep Singh et al.
Permutation-based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data
Xinshuai Dong, Ignavier Ng, Boyang Sun et al.
Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework
Xun Liang, Zhiying Li, Hongxun Jiang
Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models
peijie liu, Fengli Xu, Yong Li
Rethinking Benign Overfitting in Two-Layer Neural Networks
Ruichen Xu, Kexin Chen
From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs
Iiro Kumpulainen, Sebastian Dalleiger, Jilles Vreeken et al.
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks
Jia Jinghong, Lei Song, Jiaxing Li et al.
Multiplex Graph Representation Learning with Homophily and Consistency
Yudi Huang, Ci Nie, Hongqing He et al.
ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-$k$-Cut Problems
Yeqing Qiu, Ye XUE, Akang Wang et al.
Tightening Causal Bounds via Covariate-Aware Optimal Transport
Sirui Lin, Zijun Gao, Jose Blanchet et al.
Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction
Mohan Gao, Kexin Xu, Xiaofeng Gao et al.
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction
Ke Fei, Xinyue Zhang, Jingjing Li
SoftCVI: Contrastive variational inference with self-generated soft labels
Daniel Ward, Mark Beaumont, Matteo Fasiolo
GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data
Rui Deng, Ziqi Li, Mingshu Wang
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods
Zhengxing Cheng, Yuheng Huang, Zhixuan Zhang et al.
Quantum Speedup for Hypergraph Sparsification
Chenghua Liu, Minbo Gao, Zhengfeng Ji et al.
CUGF: A Reliable and Fair Recommendation Framework
Nitin Bisht, Xiuwen Gong, Guandong Xu
Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
Junyu Luo, Yuhao Tang, Yiwei Fu et al.
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping
Bang An, Xun Zhou, Zirui Zhou et al.
Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems
Jitao Xu, Yaling Wu, Hongbo Li et al.
Certifying Bounds Propagation for Integer Multiplication Constraints
Matthew J. McIlree, Ciaran McCreesh
DiverSAT: A Novel and Effective Local Search Algorithm for Diverse SAT Problem
Jiaxin Liang, Junping Zhou, Minghao Yin
DCC: Differentiable Cardinality Constraints for Partial Index Tracking
Wooyeon Jo, Hyunsouk Cho
Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
Benjamin Leblanc, Mathieu Bazinet, Nathaniel D'Amours et al.
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management
Yi Feng, Xiao Wang, Tian Xie
Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization
Kangkang Deng, Jiang Hu
Complete Symmetry Breaking for Finite Models
Marek Dančo, Mikoláš Janota, Michael Codish et al.
Improving the Effective Receptive Field of Message-Passing Neural Networks
Shahaf E. Finder, Ron Shapira Weber, Moshe Eliasof et al.
Exploiting Symmetries in MUS Computation
Ignace Bleukx, Hélène Verhaeghe, Bart Bogaerts et al.
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
Andreas Kontogiannis, Konstantinos Papathanasiou, Yi Shen et al.
Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis
Daniil Averkov, Tatiana Belova, Gregory Emdin et al.
New Bounds for Sparse Variational Gaussian Processes
Michalis Titsias
DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields
Xingyu Zhu, Xiapu Luo, Xuetao Wei
Adaptive Prototype Replay for Class Incremental Semantic Segmentation
Guilin Zhu, Dongyue Wu, Changxin Gao et al.
Resource-efficient Inference with Foundation Model Programs
Lunyiu Nie, Zhimin Ding, Kevin Yu et al.
Teach Old SAEs New Domain Tricks with Boosting
Nikita Koriagin, Yaroslav Aksenov, Daniil Laptev et al.
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement
Nuoyan Zhou, Dawei Zhou, Decheng Liu et al.
Smooth Interpolation for Improved Discrete Graph Generative Models
Yuxuan Song, Juntong Shi, Jingjing Gong et al.
Action-Dependent Optimality-Preserving Reward Shaping
Grant Forbes, Jianxun Wang, Leonardo Villalobos-Arias et al.
On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks
Junwei Su, Chuan Wu
Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking
Jianwei Zheng, Xiaomin Yao, Guojiang Shen et al.
Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection
Youjun Zhao, Jiaying Lin, Rynson W. H. Lau
Pixel-level Certified Explanations via Randomized Smoothing
Alaa Anani, Tobias Lorenz, Mario Fritz et al.
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling
Cristian Rodriguez-Opazo, Ehsan Abbasnejad, Damien Teney et al.
DS-VLM: Diffusion Supervision Vision Language Model
Zhen Sun, Yunhang Shen, Jie Li et al.
Single-view Image to Novel-view Generation for Hand-Object Interactions
Zhongqun Zhang, Yihua Cheng, Eduardo Pérez-Pellitero et al.
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
Yi Zhang, Chun-Wun Cheng, Junyi He et al.
SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning
Xu Zhang, Jin Yuan, Hanwang Zhang et al.
Few-Shot Domain Adaptation for Learned Image Compression
Tianyu Zhang, Haotian Zhang, Yuqi Li et al.
Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning
Fangwen Wu, Lechao Cheng, Shengeng Tang et al.
An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale
Fabian Spaeh, Atsushi Miyauchi
View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection
Qi Zhang, Zhouhang Luo, Tao Yu et al.
Model-Based Exploration in Monitored Markov Decision Processes
Alireza Kazemipour, Matthew Taylor, Michael Bowling
On the Importance of Embedding Norms in Self-Supervised Learning
Andrew Draganov, Sharvaree Vadgama, Sebastian Damrich et al.
Just a Few Glances: Open-Set Visual Perception with Image Prompt Paradigm
Jinrong Zhang, Penghui Wang, Chunxiao Liu et al.
RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition
Jie Zhang, Xun Gong, Zhonglin Sun
Systematic Relational Reasoning With Epistemic Graph Neural Networks
Irtaza Khalid, Steven Schockaert
ALOPE: Adaptive Layer Optimization for Translation Quality Estimation using Large Language Models
Archchana Sindhujan, Shenbin Qian, Chan Chi Chun Matthew et al.
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models
Qian Zeng, Jie Song, Han Zheng et al.
Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains
Zhuo He, Shuang Li, Wenze Song et al.
Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration
Yongzhe Yuan, Yue Wu, Xiaolong Fan et al.
Binary Hypothesis Testing for Softmax Models and Leverage Score Models
Yuzhou Gu, Zhao Song, Junze Yin
Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization
Robbert Reijnen, Yaoxin Wu, Zaharah Bukhsh et al.
KeyPose: Category-Level 6D Object Pose Estimation with Self-Adaptive Keypoints
Sheng Yu, Di-Hua Zhai, Yuanqing Xia
Fast Estimation of Partial Dependence Functions using Trees
Jinyang Liu, Tessa Steensgaard, Marvin N. Wright et al.
Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control
Sepehr Elahi, Paula Mürmann, Patrick Thiran
Equirectangular Point Reconstruction for Domain Adaptive Multimodal 3D Object Detection in Adverse Weather Conditions
Jae Hyun Yoon, Jong Won Jung, Seok Bong Yoo
Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
Xiao Huang, Xu Liu, Enze Zhang et al.
ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition
Seungdong Yoa, Seungjun Lee, Hye-Seung Cho et al.
Sequential Joint Dependency Aware Human Pose Estimation with State Space Model
Hanxi Yin, Shaodi You, Jungong Han et al.
Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
Yinong O Wang, Nivedha Sivakumar, Falaah Arif Khan et al.
GURecon: Learning Detailed 3D Geometric Uncertainties for Neural Surface Reconstruction
Zesong Yang, Ru Zhang, Jiale Shi et al.
UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis
Zemin Yang, Yujing Sun, Xidong Peng et al.
UAWTrack: Universal 3D Single Object Tracking in Adverse Weather
Yuxiang Yang, Hongjie Gu, Yingqi Deng et al.
One-Shot Reference-based Structure-Aware Image to Sketch Synthesis
Rui Yang, Honghong Yang, Li Zhao et al.
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model
Hao Yang, Qianyu Zhou, Haijia Sun et al.
Info-Coevolution: An Efficient Framework for Data Model Coevolution
Ziheng Qin, Hailun Xu, Wei Yew et al.
PDDM: Pseudo Depth Diffusion Model for RGB-PD Semantic Segmentation Based in Complex Indoor Scenes
Xinhua Xu, Hong Liu, Jianbing Wu et al.
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory
Dominik Fuchsgruber, Tom Wollschläger, Johannes Bordne et al.
LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data
Shaocong Xu, Pengfei Li, Qianpu Sun et al.
Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration
Yuanchen Wu, Ke Yan, Shouhong Ding et al.
Detecting and Pruning Prominent but Detrimental Neurons in Large Language Models
Ameen Ali Ali, Shahar Katz, Lior Wolf et al.
Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model
Jiahua Xu, Dawei Zhou, Lei Hu et al.
Cross-regularization: Adaptive Model Complexity through Validation Gradients
Carlos Stein Naves de Brito
Identifying and Understanding Cross-Class Features in Adversarial Training
Zeming Wei, Yiwen Guo, Yisen Wang
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
Moritz Vandenhirtz, Julia Vogt
Discovering Latent Causal Graphs from Spatiotemporal Data
Kun Wang, Sumanth Varambally, Duncan Watson-Parris et al.
Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation
Wenzhao Xiang, Chang Liu, Hongyang Yu et al.
POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position Search
Chong-Yang Xiang, Jun-Yan He, Zhi-Qi Cheng et al.
Multi-Shape Matching with Cycle Consistency Basis via Functional Maps
Yifan Xia, Tianwei Ye, Huabing Zhou et al.
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos
Tianyi Zhang, Yu Cao, Dianbo Liu
Stochastic Bandits Robust to Adversarial Attacks
Xuchuang Wang, Maoli Liu, Jinhang Zuo et al.
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer et al.
Achieving Lightweight Super-Resolution for Real-Time Computer Graphics
Yu Wen, Chen Zhang, Chenhao Xie et al.
WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition
Zicheng Wang, Qiuxia Wu
From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models
MINGJIA YIN, Junwei Pan, Hao Wang et al.
Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective
Yujin Oh, Pengfei Jin, Sangjoon Park et al.
Learning Invariant Causal Mechanism from Vision-Language Models
Zeen Song, Siyu Zhao, Xingyu Zhang et al.
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding
Jiaze Wang, Yi Wang, Ziyu Guo et al.
Leveraging Predictive Equivalence in Decision Trees
Hayden McTavish, Zachery Boner, Jon Donnelly et al.
Self-Organizing Visual Prototypes for Non-Parametric Representation Learning
Thalles Silva, Helio Pedrini, Adín Ramírez Rivera
FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network
Jiayu Wang, Yue Yu, Jingjing Chen et al.
Learning from True-False Labels via Multi-modal Prompt Retrieving
Zhongnian Li, Jinghao Xu, Peng Ying et al.
Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization
Zijian Liu, Zhengyuan Zhou
Geometry-Aware 3D Salient Object Detection Network
Chen Wang, Liyuan Zhang, Le Hui et al.
Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models
Zahra Babaiee, Peyman M. Kiasari, Daniela Rus et al.
Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning
Yunbin Tu, Liang Li, Li Su et al.
Weighted Multi-Prompt Learning with Description-free Large Language Model Distillation
Sua Lee, Kyubum Shin, Jung Ho Park
Provable Length Generalization in Sequence Prediction via Spectral Filtering
Annie Marsden, Evan Dogariu, Naman Agarwal et al.
Modality-Aware Shot Relating and Comparing for Video Scene Detection
Jiawei Tan, Hongxing Wang, Kang Dang et al.
First Line of Defense: A Robust First Layer Mitigates Adversarial Attacks
Janani Suresh, Nancy Nayak, Sheetal Kalyani
MapIQ: Evaluating Multimodal Large Language Models for Map Question Answering
Varun Srivastava, Fan Lei, Srija Mukhopadhyay et al.
RealisID: Scale-Robust and Fine-Controllable Identity Customization via Local and Global Complementation
Zhaoyang Sun, Fei Du, Weihua Chen et al.
TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction
Hao Li, Hao Wan, Yuzhou Chen et al.
Convergence of Policy Mirror Descent Beyond Compatible Function Approximation
Uri Sherman, Tomer Koren, Yishay Mansour
VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning
Nilay Yilmaz, Maitreya Patel, Lawrence Luo et al.
SdalsNet: Self-Distilled Attention Localization and Shift Network for Unsupervised Camouflaged Object Detection
Peiyao Shou, Yixiu Liu, Wei Wang et al.
Normal-NeRF: Ambiguity-Robust Normal Estimation for Highly Reflective Scenes
Ji Shi, Xianghua Ying, Ruohao Guo et al.
SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes
Yishan Shen, Yuyang Ye, Hui Xiong et al.
FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models
Mohammadreza Samadi, Fred X. Han, Mohammad Salameh et al.
Motif Guided Graph Transformers with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification
Haocong Rao, Chunyan Miao
Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection
Bin Pu, Liwen Wang, Jiewen Yang et al.
Earley-Driven Dynamic Pruning for Efficient Structured Decoding
Xintong Sun, Chi Wei, Minghao Tian et al.
Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy
Shaoyan Pan, Yikang Liu, Lin Zhao et al.
Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation
Delin Pan, Jiansong Fan, Jie Zhu et al.
SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network
Ziming Nie, Qiao Wu, Chenlei Lv et al.
Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data
Erez Peterfreund, Ofir Lindenbaum, Yuval Kluger et al.
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness
Hefei Mei, Minjing Dong, Chang Xu
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings
Yilin Ye, Junchao Huang, Xingchen ZENG et al.
Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games
Antonio Ocello, Daniil Tiapkin, Lorenzo Mancini et al.
Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification
Kai Lv, Yunlong Li, Zhuo Chen et al.
Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems
YUTONG WU, Jie Zhang, Yiming Li et al.
Training Verification-Friendly Neural Networks via Neuron Behavior Consistency
Zongxin Liu, Zhe Zhao, Fu Song et al.
Efficient Skill Discovery via Regret-Aware Optimization
He ZHANG, Ming Zhou, shaopeng zhai et al.
Origin Identification for Text-Guided Image-to-Image Diffusion Models
Wenhao Wang, Yifan Sun, Zongxin Yang et al.
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning
Man Liu, Huihui Bai, Feng Li et al.
Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments
Yipeng Du, Zihao Wang, Ahmad Farhan et al.
Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning
Han Liu, Yuanyuan Wang, Xiaotong Zhang et al.
Constrained Pareto Set Identification with Bandit Feedback
Cyrille Kone, Emilie Kaufmann, Laura Richert
Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging
Chuang Liu, Yichao Cao, YingYing Zhang et al.
Towards Ship License Plate Recognition in the Wild: A Large Benchmark and Strong Baseline
Baolong Liu, Ruiqing Yang, Roukai Huang et al.
Leveraging RGB-D Data with Cross-Modal Context Mining for Glass Surface Detection
Jiaying Lin, Yuen-Hei Yeung, Shuquan Ye et al.
X-EcoMLA: Upcycling Pre-Trained Attention into MLA for Efficient and Extreme KV Compression
Guihong Li, Mehdi Rezagholizadeh, Mingyu Yang et al.
Distributed Differentially Private Data Analytics via Secure Sketching
Jakob Burkhardt, Hannah Keller, Claudio Orlandi et al.
DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion
Yinghui Li, Qianyu Zhou, Jingyu Gong et al.
Positional Encoding meets Persistent Homology on Graphs
Yogesh Verma, Amauri Souza, Vikas Garg
Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data
Siqi Guo, Ilgee Hong, Vicente Balmaseda et al.
A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging
Ruoran Li, Runzhao Yang, Wenxin Xiang et al.
Temporal Action Localization with Cross Layer Task Decoupling and Refinement
Qiang Li, Di Liu, Jun Kong et al.
Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering
Peize Li, Qingyi Si, Peng Fu et al.
A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
Shivam Kumar, Yun Yang, Lizhen Lin
PRDP: Progressively Refined Differentiable Physics
Kanishk Bhatia, Felix Koehler, Nils Thuerey
Learning Randomized Algorithms with Transformers
Johannes von Oswald, Seijin Kobayashi, Yassir Akram et al.
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
Jungtaek Kim
Block-Based Multi-Scale Image Rescaling
Jian Li, Siwang Zhou
HomeDiffusion: Zero-Shot Object Customization with Multi-View Representation Learning for Indoor Scenes
Guoqiu Li, Jin Song, Yiyun Fei
Leveraging Per-Instance Privacy for Machine Unlearning
Naz Sepahvand, Anvith Thudi, Berivan Isik et al.
Consistency of Compositional Generalization Across Multiple Levels
Chuanhao Li, Zhen Li, Chenchen Jing et al.
KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models
Yarin Yerushalmi Levi, Edita Grolman, Idan Yankelev et al.
Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference
Jixian Zhou, Fang DONG(董方), Ruijun Huang et al.
MAMS: Model-Agnostic Module Selection Framework for Video Captioning
Sangho Lee, Il Yong Chun, Hogun Park
Real-Time Neural Denoising with Render-Aware Knowledge Distillation
Mengxun Kong, Jie Guo, Chen Wang et al.
FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation
Yuheng Lai, Leying Guan
Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models
Rui Jiang, Xinghe Fu, Guangcong Zheng et al.
Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning
Hui Zeng, Wenke Huang, Tongqing Zhou et al.
IMTS is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction
Zhangyi Hu, Jiemin Wu, Hua XU et al.
Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning
Sunwoo Lee, Jaebak Hwang, Yonghyeon Jo et al.
Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering
Hao Jiang, Yang Jin, Zhicheng Sun et al.
Sampling Binary Data by Denoising through Score Functions
Francis Bach, Saeed Saremi
EGSRAL:An Enhanced 3D Gaussian Splatting Based Renderer with Automated Labeling for Large-Scale Driving Scene
Yixiong Huo, Guangfeng Jiang, Hongyang Wei et al.
Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation
Yanglin Huang, Kai Hu, Yuan Zhang et al.
DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching
Xiaofei Huang, Wenting Chen, Jie Liu et al.
Efficient Indoor Depth Completion Network Using Mask-adaptive Gated Convolution
Tingxuan Huang, Jiacheng Miao, Shizhuo Deng et al.
Adversarial Latent Feature Augmentation for Fairness
Hoin Jung, Junyi Chai, Xiaoqian Wang
Training-and-Prompt-Free General Painterly Harmonization via Zero-Shot Disentenglement on Style and Content References
Teng-Fang Hsiao, Bo-Kai Ruan, Hong-Han Shuai
Mechanistic PDE Networks for Discovery of Governing Equations
Adeel Pervez, Efstratios Gavves, Francesco Locatello
Kernel Quantile Embeddings and Associated Probability Metrics
Masha Naslidnyk, Siu Lun Chau, Francois-Xavier Briol et al.
Mitigating Modal Imbalance in Multimodal Reasoning
Chen Henry Wu, Neil Kale, Aditi Raghunathan