Most Cited 2024 "gpu execution optimization" Papers

Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents

Zhihan Liu, Hao Hu, Shenao Zhang et al.

MoDE: A Mixture

of-Experts Model with Mutual Distillation among the Experts

Spanning the Spectrum of Hatred Detection: A Persian Multi

Label Hate Speech Dataset with Annotator Rationales

TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion Process

Zhiyuan Ren, Minchul Kim, Feng Liu et al.

Learning Representation for Multitask Learning through Self-Supervised Auxiliary Learning

Seokwon Shin, Hyungrok Do, Youngdoo Son

Convergence of Online Learning Algorithm for a Mixture of Multiple Linear Regressions

Yujing Liu, Zhixin Liu, Lei Guo

Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision

Language Reasoning Network

Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition

Hanxuan Li, Bin Fu, Ruiping Wang et al.

GSENet: Global Semantic Enhancement Network for Lane Detection

Junhao Su, Zhenghan Chen, Chenghao He et al.

Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World

Chunshu Wu, Ruibing Song, Chuan Liu et al.

DocNLC: A Document Image Enhancement Framework with Normalized and Latent Contrastive Representation for Multiple Degradations

Ruilu Wang, Yang Xue, Lianwen Jin

PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation

Siyuan Hu, Zheng Wang, Peng Hu et al.

A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and Machines

Manju Garimella, Denizhan Pak, Justin Wood et al.

Federated Label-Noise Learning with Local Diversity Product Regularization

Xiaochen Zhou, Xudong Wang

Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets

Yihuan Mao, Chengjie Wu, Xi Chen et al.

Faithful Vision-Language Interpretation via Concept Bottleneck Models

Songning Lai, Lijie Hu, Junxiao Wang et al.

Locally Rainbow Paths

Till Fluschnik, Leon Kellerhals, Malte Renken

Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention

Ying-Yu Chen, Jun-Wei Hsieh, Xin Li et al.

DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation

Qinshuo Liu, Zixin Wang, Xi'an Li et al.

High-Probability Bound for Non-Smooth Non-Convex Stochastic Optimization with Heavy Tails

Langqi Liu, Yibo Wang, Lijun Zhang

Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition

Yicheng Liu, Jie Wen, Chengliang Liu et al.

A unique M-pattern for micro-expression spotting in long videos

Jinxuan Wang, Shiting Xu, Tong Zhang

Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning

Biao Liu, Ning Xu, Xiangyu Fang et al.

Causality Based Front-door Defense Against Backdoor Attack on Language Models

Yiran Liu, Xiaoang Xu, Zhiyi Hou et al.

Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling

Chengliang Liu, Gehui Xu, Jie Wen et al.

Building Socially-Equitable Public Models

Yejia Liu, Jianyi Yang, Pengfei Li et al.

Hierarchical Intra-modal Correlation Learning for Label-free 3D Semantic Segmentation

Xin Kang, Lei Chu, Jiahao Li et al.

Parameterization of (Partial) Maximum Satisfiability above Matching in a Variable-Clause Graph

Vasily Alferov, Ivan Bliznets, Kirill Brilliantov

SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series

Junyan Cheng, Peter Chin

Ex2Eg-MAE: A Framework for Adaptation of Exocentric Video Masked Autoencoders for Egocentric Social Role Understanding

Minh Tran, Yelin Kim, Che-Chun Su et al.

Branch-GAN: Improving Text Generation with (not so) Large Language Models

Fredrik Carlsson, Johan Broberg, Erik Hillbom et al.

Decomposing Temporal Equilibrium Strategy for Coordinated Distributed Multi-Agent Reinforcement Learning

Chenyang Zhu, Wen Si, Jinyu Zhu et al.

DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels

Haoran Liu, Ying Ma, Ming Yan et al.

Reparameterized Importance Sampling for Robust Variational Bayesian Neural Networks

Yunfei Long, Zilin Tian, Liguo Zhang et al.

Frequency-aware Event-based Video Deblurring for Real-World Motion Blur

Taewoo Kim, Hoonhee Cho, Kuk-Jin Yoon

Relative Policy-Transition Optimization for Fast Policy Transfer

Jiawei xu, Cheng Zhou, Yizheng Zhang et al.

Noise-Aware Image Captioning with Progressively Exploring Mismatched Words

Zhongtian Fu, Kefei Song, Luping Zhou et al.

Neural Physical Simulation with Multi-Resolution Hash Grid Encoding

Haoxiang Wang, Tao Yu, Tianwei Yang et al.

MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data

Jiaxin Yin, Yuanyuan Qiao, Zitang Zhou et al.

3D Feature Tracking via Event Camera

Siqi Li, Zhou Zhikuan, Zhou Xue et al.

Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Qingyan Guo, Rui Wang, Junliang Guo et al.

R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Control Diffusion

Jinxiu Liu, Qi Liu

Position: Exploring the Robustness of Pipeline-Parallelism-Based Decentralized Training

Lin Lu, Chenxi Dai, Wangcheng Tao et al.

Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer

Xiaorui Su, Pengwei Hu, Zhu-Hong You et al.

Optimization-based Uncertainty Attribution Via Learning Informative Perturbations

Hanjing Wang, Bashirul Azam Biswas, Qiang Ji

From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue

CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series

Junxin Lu, Shiliang Sun

Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera

Jiyuan Zhang, Shiyan Chen, Yajing Zheng et al.

Pandora’s Problem with Deadlines

Ben Berger, Tomer Ezra, Michal Feldman et al.

Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition

Faisal Hamman, Sanghamitra Dutta

To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning

Souhail Hadgi, Lei Li, Maks Ovsjanikov

Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression

Zhankun Luo, Abolfazl Hashemi

Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective

Zehao Dou, Yang Song

Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition

Jiadong Wang, Zexu Pan, Malu Zhang et al.

Keypoint Fusion for RGB-D Based 3D Hand Pose Estimation

Xingyu Liu, Pengfei Ren, Yuanyuan Gao et al.

Fast Equilibrium of SGD in Generic Situations

Zhiyuan Li, Yi Wang, Zhiren Wang

DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning

Haoran Xu, Peixi Peng, Guang Tan et al.

Learning to Manipulate Artistic Images

Wei Guo, Yuqi Zhang, De Ma et al.

Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data

Wenxi Lv, Qinliang Su, Hai Wan et al.

Expressive Multi-Agent Communication via Identity-Aware Learning

Wei Du, Shifei Ding, Lili Guo et al.

SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning

Qi Qian, Yuanhong Xu, JUHUA HU

AMD: Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion

Beibei Jing, Youjia Zhang, Zikai Song et al.

Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models

Junlong Lyu, Zhitang Chen, Shoubo Feng

Pose Guided Fine-Grained Sign Language Video Generation

Tongkai Shi, Lianyu Hu, Fanhua Shang et al.

PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search

Dixi Yao, Baochun Li

Scalar Function Topology Divergence: Comparing Topology of 3D Objects

Ilya Trofimov, Daria Voronkova, Eduard Tulchinskii et al.

Outlier-aware Slicing for Post-Training Quantization in Vision Transformer

Yuexiao Ma, Huixia Li, Xiawu Zheng et al.

Stereo Vision Conversion from Planar Videos Based on Temporal Multiplane Images

Shanding Diao, Yuan Chen, Yang Zhao et al.

Scale-Adaptive Diffusion Model for Complex Sketch Synthesis

Jijin Hu, Ke Li, Yonggang Qi et al.

Approximate Distance Oracle for Fault-Tolerant Geometric Spanners

Kyungjin Cho, Jihun Shin, Eunjin Oh

High-dimensional Linear Bandits with Knapsacks

Wanteng Ma, Dong Xia, Jiashuo Jiang

Bridging Neural and Symbolic Representations with Transitional Dictionary Learning

Junyan Cheng, Peter Chin

Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data

Atsushi Nitanda, Kazusato Oko, Taiji Suzuki et al.

A Provable Decision Rule for Out-of-Distribution Detection

Xinsong Ma, Xin Zou, Weiwei Liu

Adaptive Regret for Bandits Made Possible: Two Queries Suffice

Zhou Lu, Qiuyi (Richard) Zhang, Xinyi Chen et al.

Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning

Hansheng Xue, Vijini Mallawaarachchi, Lexing Xie et al.

Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring

Sizhuo Li, Dimitri Gominski, Martin Brandt et al.

Graph Lottery Ticket Automated

Guibin Zhang, Kun Wang, Wei Huang et al.

Dynamics-Informed Protein Design with Structure Conditioning

Urszula Julia Komorowska, Simon Mathis, Kieran Didi et al.

Reproduce, Replicate, Reevaluate. The Long but Safe Way to Extend Machine Learning Methods

Luisa Werner, Nabil Layaïda, Pierre Genevès et al.

SAS: Structured Activation Sparsification

Yusuke Sekikawa, Shingo Yashima

A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection

Hanshi Wang, Zhipeng Zhang, Jin Gao et al.

Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields

Junoh Lee, Hyunjun Jung, Jinhwi Park et al.

Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment

Xudong Li, Runze Hu, Jingyuan Zheng et al.

Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification

Zhenyu Cui, Jiahuan Zhou, Xun Wang et al.

Information Retention via Learning Supplemental Features

Zhipeng Xie, Yahe Li

MaskPLAN: Masked Generative Layout Planning from Partial Input

Hang Zhang, Anton Savov, Benjamin Dillenburger

On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning

Ziyi Chen, Yi Zhou, Heng Huang

Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration

Shenglong Zhou, Zhiwei Xiong, Feng Wu

Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration

Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning

DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mutual Reconstruction

WAVE: Warping DDIM Inversion Features for Zero-shot Text-to-Video Editing

Yutang Feng, Sicheng Gao, Yuxiang Bao et al.

RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing

Multi-Modal Prompting for Open-Vocabulary Video Visual Relationship Detection

Scalable Enumeration of Trap Spaces in Boolean Networks via Answer Set Programming

Srikar Appalaraju, Peng Tang, Qi Dong et al.

DiG-In-GNN: Discriminative Feature Guided GNN-based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph

Jinghui Zhang, Zhengjia Xu, Dingyang Lv et al.

SA²VP: Spatially Aligned-and-Adapted Visual Prompt

Wenjie Pei, Tongqi Xia, Fanglin Chen et al.

Data-free Distillation of Diffusion Models with Bootstrapping

Jiatao Gu, Chen Wang, Shuangfei Zhai et al.

RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving

Daniel Coelho, Miguel Oliveira, Vitor Santos

AdversariaLeak: External Information Leakage Attack Using Adversarial Samples on Face Recognition Systems

Roye Katzav, Amit Giloni, Edita Grolman et al.

Threaten Spiking Neural Networks through Combining Rate and Temporal Information

Zecheng Hao, Tong Bu, Xinyu Shi et al.

UFC-Net: Unrolling Fixed-point Continuous Network for Deep Compressive Sensing

Xiaoyang Wang, Hongping Gan

Arbitrary-Scale Video Super-resolution Guided by Dynamic Context

Cong Huang, jiahao Li, Lei Chu et al.

Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection

Chuangchuang Tan, Huan Liu, Yao Zhao et al.

Selective and Orthogonal Feature Activation for Pedestrian Attribute Recognition

Junyi Wu, Yan Huang, Min Gao et al.

Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations

Benjamin Doerr, Aymen Echarghaoui, Mohammed Jamal et al.

MONTRAGE: Monitoring Training for Attribution of Generative Diffusion Models

Jonathan Brokman, Omer Hofman, Roman Vainshtein et al.

Sample-Constrained Black Box Optimization for Audio Personalization

Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury

How Far Can a 1-Pixel Camera Go? Solving Vision Tasks using Photoreceptors and Computationally Designed Visual Morphology

Andrei Atanov, Rishubh Singh, Jiawei Fu et al.

MLPHand: Real Time Multi-View 3D Hand Reconstruction via MLP Modeling

Jian Yang, Jiakun Li, Guoming Li et al.

Shuffled Deep Regression

Debiasing Attention Mechanism in Transformer without Demographics

Shenyu Lu, Yipei Wang, Xiaoqian Wang

Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts

Yang Yao, Xin Wang, Yijian Qin et al.

Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection

Jianping Zhang, Yizhan Huang, Zhuoer Xu et al.

DTF-AT: Decoupled Time-Frequency Audio Transformer for Event Classification

Tony Alex, Sara Ahmed, Armin Mustafa et al.

Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective

Kuan Li, YiWen Chen, Yang Liu et al.

Inlier Confidence Calibration for Point Cloud Registration

Yongzhe Yuan, Yue Wu, Xiaolong Fan et al.

Efficient Algorithms for Non-gaussian Single Index Models with Generative Priors

Junren CHEN, Zhaoqiang Liu

Omnidirectional Image Super-resolution via Bi-projection Fusion

Jiangang Wang, Yuning Cui, Yawen Li et al.

OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification

Shikhar Mohan, Deepak Saini, Anshul Mittal et al.

On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks

Zi Wang, Bin Hu, Aaron Havens et al.

Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks

Bjørn Leth Møller, Christian Igel, Kristoffer Wickstrøm et al.

Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime

Keita Suzuki, Taiji Suzuki

Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking

Lorenzo Vaquero, Yihong XU, Xavier Alameda-Pineda et al.

Video Event Extraction with Multi-View Interaction Knowledge Distillation

Kaiwen Wei, Du Runyan, Li Jin et al.

Multi-Prototype Space Learning for Commonsense-Based Scene Graph Generation

Lianggangxu Chen, Youqi Song, Yiqing Cai et al.

Continual Learning and Unknown Object Discovery in 3D Scenes via Self-Distillation

Mohamed El Amine Boudjoghra, Jean Lahoud, Salman Khan et al.

Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs

Chandra Mouli Sekar, Danielle Robinson, Shima Alizadeh et al.

Divide and Conquer: Hybrid Pre-training for Person Search

Yanling Tian, Di Chen, Yunan Liu et al.

TAG: Text Prompt Augmentation for Zero-Shot Out-of-Distribution Detection

Xixi Liu, Christopher Zach

Optimize & Reduce: A Top-Down Approach for Image Vectorization

Or Hirschorn, Amir Jevnisek, Shai Avidan

Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation

Yijun Ma, Chaozhuo Li, Xiao Zhou

Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector

Yifu Ding, Weilun Feng, Chuyan Chen et al.

Factored-Reward Bandits with Intermediate Observations

Marco Mussi, Simone Drago, Marcello Restelli et al.

Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting

Yuxin Li, Wenchao Chen, Xinyue Hu et al.

A Local-Ascending-Global Learning Strategy for Brain-Computer Interface

Dongrui Gao, Haokai Zhang, Pengrui Li et al.

Learning in Deep Factor Graphs with Gaussian Belief Propagation

Seth Nabarro, Mark van der Wilk, Andrew Davison

Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding

Jingping Liu, Mingchuan Zhang, Weichen Li et al.

Density Ratio Estimation with Doubly Strong Robustness

Ryosuke Nagumo, Hironori Fujisawa

A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction

Ruili Pu, Yang Li, Jun Zhao et al.

Scaled Decoupled Distillation

Shicai Wei, Chunbo Luo, Yang Luo

Oulu Remote-photoplethysmography Physical Domain Attacks Database (ORPDAD)

Marko Savic, Guoying Zhao

Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems

Jacob Prince, Gabriel Fajardo, George Alvarez et al.

Large Occluded Human Image Completion via Image-Prior Cooperating

Hengrun Zhao, Yu Zeng, Huchuan Lu et al.

Novel Spectral Algorithms for the Partial Credit Model

Duc Nguyen, Anderson Zhang

Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration

Yujia Wang, Yuanpu Cao, Jingcheng Wu et al.

Risk-Sensitive Reward-Free Reinforcement Learning with CVaR

Xinyi Ni, Guanlin Liu, Lifeng Lai

NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis

Dong Wei, Huaijiang Sun, Bin Li et al.

Understanding the Impact of Introducing Constraints at Inference Time on Generalization Error

Masaaki Nishino, Kengo Nakamura, Norihito Yasuda

Fiber Monte Carlo

Nick Richardson, Deniz Oktay, Yaniv Ovadia et al.

Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming

Xinlei Niu, Christian Walder, Jing Zhang et al.

Non-excludable Bilateral Trade between Groups

Yixuan Even Xu, Hanrui Zhang, Vincent Conitzer

Learning Neural Deformation Representation for 4D Dynamic Shape Generation

Gyojin Han, Jiwan Hur, Jaehyun Choi et al.

An interpretable error correction method for enhancing code-to-code translation

Min Xue, Artur Andrzejak, Marla Leuther

Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models

Hieu Man, Franck Dernoncourt, Thien Huu Nguyen

QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos

Yogesh Kumar, Saswat Mallick, Anand Mishra et al.

Chains of Diffusion Models

Yanheng Wei, Lianghua Huang, Zhi-Fan Wu et al.

Robust Nearest Neighbors for Source-Free Domain Adaptation under Class Distribution Shift

Antonio Tejero-de-Pablos, Riku Togashi, Mayu Otani et al.

Physics-informed Knowledge Transfer for Underwater Monocular Depth Estimation

Jinghe Yang, Mingming Gong, Ye Pu

Learning Equilibrium Transformation for Gamut Expansion and Color Restoration

JUN XIAO, Changjian Shui, Zhi-Song Liu et al.

Neural Underwater Scene Representation

Yunkai Tang, Chengxuan Zhu, Renjie Wan et al.

Concept Bottleneck Generative Models

Aya Abdelsalam Ismail, Julius Adebayo, Hector Corrada Bravo et al.

GGRt: Towards Generalizable 3D Gaussians without Pose Priors in Real-Time

Hao Li, Yuanyuan Gao, Dingwen Zhang et al.

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations

Cedric Derstroff, Jannis Brugger, Mattia Cerrato et al.

Rethinking Two-Stage Referring Expression Comprehension: A Novel Grounding and Segmentation Method Modulated by Point

Peizhi Zhao, Shiyi Zheng, Wenye Zhao et al.

Implicit Representations via Operator Learning

Sourav Pal, Harshavardhan Adepu, Clinton Wang et al.

Probabilistic Adaptation of Black-Box Text-to-Video Models

Sherry Yang, Yilun Du, Bo Dai et al.

DreamClean: Restoring Clean Image Using Deep Diffusion Prior

Jie Xiao, Ruili Feng, Han Zhang et al.

Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning

Zhe Zhao, Pengkun Wang, HaiBin Wen et al.

Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations

Xiaokang Pan, Xingyu Li, Jin Liu et al.

RMIB: Representation Matching Information Bottleneck for Matching Text Representations

Haihui Pan, zhifang Liao, Wenrui Xie et al.

PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment

Zewen Zheng, Xuemin Zhang, Yongqiang Mou et al.

HoloADMM: High-Quality Holographic Complex Field Recovery

Mazen Mel, Paul Springer, Pietro Zanuttigh et al.

Repurposing Ensemble of Black-Box Models to New Task Domains

Minh Hoang, Nghia Hoang

Abstraction of Situation Calculus Concurrent Game Structures

Yves Lesperance, Giuseppe De Giacomo, Maryam Rostamigiv et al.

FedHide: Federated Learning by Hiding in the Neighbors

Hyunsin Park, Sungrack Yun

Z*: Zero-shot Style Transfer via Attention Reweighting

Yingying Deng, Xiangyu He, Fan Tang et al.

Hybrid Directional Graph Neural Network for Molecules

Junyi An, Chao Qu, Zhipeng Zhou et al.

DreamReward: Aligning Human Preference in Text-to-3D Generation

junliang ye, Fangfu Liu, Qixiu Li et al.

Active Domain Adaptation with False Negative Prediction for Object Detection

Yuzuru Nakamura, Yasunori Ishii, Takayoshi Yamashita

ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-guided Optimization

Hao Wang, Fang Liu, Licheng Jiao et al.

Towards Offline Opponent Modeling with In-context Learning

Yuheng Jing, Kai Li, Bingyun Liu et al.

$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation

Yining Jiao, Carlton ZDANSKI, Julia Kimbell et al.

State-Free Inference of State-Space Models: The *Transfer Function* Approach

Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro et al.

Causal Representation Learning via Counterfactual Intervention

Xiutian Li, Siqi Sun, Rui Feng

Diffusion Models Encode the Intrinsic Dimension of Data Manifolds

Jan Stanczuk, Georgios Batzolis, Teo Deveney et al.

Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory

Wei Huang, Ye Shi, Zhongyi Cai et al.

TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation

Xin Lin, Chong Shi, Yibing Zhan et al.

Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance Fields

Yonggan Fu, Huaizhi Qu, Zhifan Ye et al.

Early Anticipation of Driving Maneuvers

Abdul Wasi Lone, Shankar Gangisetty, Shyam Nandan et al.

Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks

Amit Peleg, Matthias Hein

Knowledge Distillation with Auxiliary Variable

Bo Peng, zhen fang, Guangquan Zhang et al.

Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks

Jia Wang, Wuqiang Su, Zushu Huang et al.

CTO-SLAM: Contour Tracking for Object-Level Robust 4D SLAM

Xiaohan Li, Dong Liu, Jun Wu

RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection

Shuzhi Cao, Jianfei Ruan, Bo Dong et al.

Textual-Visual Logic Challenge: Understanding and Reasoning in Text-to-Image Generation

Peixi Xiong, Michael A Kozuch, Nilesh Jain

Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions

Frank Cole, Yulong Lu

A Subquadratic Time Algorithm for Robust Sparse Mean Estimation

Ankit Pensia

Fast Sampling-Based Sketches for Tensors

William Swartworth, David Woodruff