Most Cited 2024 "identity fidelity" Papers

SkyScenes: A Synthetic Dataset for Aerial Scene Understanding

Sahil Santosh Khose, Anisha Pal, Aayushi Agarwal et al.

Learning Image Demoireing from Unpaired Real Data

Yunshan Zhong, Zhou Yuyao, Yuxin Zhang et al.

Complete Neural Networks for Complete Euclidean Graphs

Snir Hordan, Tal Amir, Nadav Dym et al.

AvatarPose: Avatar-guided 3D Pose Estimation of Close Human Interaction from Sparse Multi-view Videos

Feichi Lu, Zijian Dong, Jie Song et al.

GRATH: Gradual Self-Truthifying for Large Language Models

Weixin Chen, Dawn Song, Bo Li

HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation

Tianpei Zou, Sanqing Qu, Zhijun Li et al.

A high-quality robust diffusion framework for corrupted dataset

Quan Dao, Binh Ta, Tung Pham et al.

Most discriminative stimuli for functional cell type clustering

Max F. Burg, Thomas Zenkel, Michaela Vystrčilová et al.

Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models

Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi

How to Leverage Diverse Demonstrations in Offline Imitation Learning

Sheng Yue, Jiani Liu, Xingyuan Hua et al.

Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise

Xi Chen, Zhewen Hou, Christopher Metzler et al.

Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning

Pierre Marza, Laetitia Matignon, Olivier Simonin et al.

Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics

Shishira R Maiya, Anubhav Anubhav, Matthew Gwilliam et al.

Towards a Perceptual Evaluation Framework for Lighting Estimation

Justine Giroux, Mohammad Reza Karimi Dastjerdi, Yannick Hold-Geoffroy et al.

Towards Backward-Compatible Continual Learning of Image Compression

Zhihao Duan, Ming Lu, Justin Yang et al.

Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training

Yuanqi Yao, Gang Wu, Kui Jiang et al.

Entropy-MCMC: Sampling from Flat Basins with Ease

Bolian Li, Ruqi Zhang

Generalized Coverage for More Robust Low-Budget Active Learning

Wonho Bae, Junhyug Noh, Danica J. Sutherland

Implicit Neural Representations and the Algebra of Complex Wavelets

T Mitchell Roddenberry, Vishwanath Saragadam, Maarten V de Hoop et al.

A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation

Riccardo Fogliato, Pratik Patil, Mathew Monfort et al.

Interacting Diffusion Processes for Event Sequence Forecasting

Mai Zeng, Florence Regol, Mark Coates

TRINS: Towards Multimodal Language Models that Can Read

Ruiyi Zhang, Yanzhe Zhang, Jian Chen et al.

Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling

Yuze Hao, Jianrong Zhang, Tao Zhuo et al.

From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems

Xin Li, Jingdong Zhang, Qunxi Zhu et al.

Personalized Video Relighting With an At-Home Light Stage

Jun Myeong Choi, Max Christman, Roni Sengupta

LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate

Tao Wu, Tie Luo, D. C. Wunsch

The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation

Muyang Qiu, Jian Zhang, Lei Qi et al.

Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning

Nikhil Vyas, Depen Morwani, Rosie Zhao et al.

LEAD: Exploring Logit Space Evolution for Model Selection

Zixuan Hu, Xiaotong Li, SHIXIANG TANG et al.

BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models

Qingqing Cao, Sewon Min, Yizhong Wang et al.

MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection

Yuxue Yang, Lue Fan, Zhaoxiang Zhang

A Theory of Non-acyclic Generative Flow Networks

Leo Brunswic, Yinchuan Li, Yushun Xu et al.

Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm

Fuzhong Zhou, Chenyu Zhang, Xu Chen et al.

Neural Fine-Tuning Search for Few-Shot Learning

Panagiotis Eustratiadis, Łukasz Dudziak, Da Li et al.

LASER: Linear Compression in Wireless Distributed Optimization

Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels et al.

Neural Lineage

Runpeng Yu, Xinchao Wang

Entropy-Reinforced Planning with Large Language Models for Drug Discovery

Xuefeng Liu, Chih-chan Tien, Peng Ding et al.

Temporal-Distributed Backdoor Attack against Video Based Action Recognition

Xi Li, Songhe Wang, Ruiquan Huang et al.

ILILT: Implicit Learning of Inverse Lithography Technologies

Haoyu Yang, Mark Ren

DySeT: a Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction

MOZHGAN POURKESHAVARZ, Arielle Zhang, Amir Rasouli

Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization

Zhenwei Lin, Jingfan Xia, Qi Deng et al.

Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images

Chuanrui Zhang, Yonggen Ling, Minglei Lu et al.

OmniLocalRF: Omnidirectional Local Radiance Fields from Dynamic Videos

Dongyoung Choi, Hyeonjoong Jang, Min H. Kim

Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation

YoungJoon Yoo, Jongwon Choi

Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency

Tianhong Li, Sangnie Bhardwaj, Yonglong Tian et al.

Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise

Rui Pan, Yuxing Liu, Xiaoyu Wang et al.

Polarization Wavefront Lidar: Learning Large Scene Reconstruction from Polarized Wavefronts

Dominik Scheuble, Chenyang Lei, Mario Bijelic et al.

Gaussian Plane-Wave Neural Operator for Electron Density Estimation

Seongsu Kim, Sungsoo Ahn

Understanding and Diagnosing Deep Reinforcement Learning

Ezgi Korkmaz

Inconsistency-Based Data-Centric Active Open-Set Annotation

Ruiyu Mao, Ouyang Xu, Yunhui Guo

Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models

Marien Renaud, Jiaming Liu, Valentin De Bortoli et al.

Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks

Ao Liu, Wenshan Li, Tao Li et al.

Querying as Prompt: Parameter-Efficient Learning for Multimodal Language Model

Tian Liang, Jing Huang, Ming Kong et al.

Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment

Yuxiao Chen, Kai Li, Wentao Bao et al.

FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning

Jian Li, Yong Liu, Wei Wang et al.

Makeup Prior Models for 3D Facial Makeup Estimation and Applications

Xingchao Yang, Takafumi Taketomi, Yuki Endo et al.

Video Recognition in Portrait Mode

Mingfei Han, Linjie Yang, Xiaojie Jin et al.

Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training

Jiacheng Zhang, Feng Liu, Dawei Zhou et al.

Color Event Enhanced Single-Exposure HDR Imaging

Mengyao Cui, Zhigang Wang, Dong Wang et al.

Coordinate-Aware Modulation for Neural Fields

Joo Chan Lee, Daniel Rho, Seungtae Nam et al.

PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation

Physics-Aware Hand-Object Interaction Denoising

Haowen Luo, Yunze Liu, Li Yi

Epistemic Uncertainty Quantification For Pre-Trained Neural Networks

Hanjing Wang, Qiang Ji

Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining

Qi Cui, Ruohan Meng, Chaohui Xu et al.

Using Stratified Sampling to Improve LIME Image Explanations

Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari et al.

Learning to Drive via Asymmetric Self-Play

Chris Zhang, Sourav Biswas, Kelvin Wong et al.

Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay

Yuhang Zhou, Zhongyun Hua

Optimal Differentially Private Model Training with Public Data

Andrew Lowy, Zeman Li, Tianjian Huang et al.

Relational DNN Verification With Cross Executional Bound Refinement

Debangshu Banerjee, Gagandeep Singh

Generating 3D House Wireframes with Semantics

Xueqi Ma, Yilin Liu, Wenjun Zhou et al.

HiFi-Score: Fine-grained Image Description Evaluation with Hierarchical Parsing Graphs

Ziwei Yao, Ruiping Wang, Xilin CHEN

Fact-Driven Logical Reasoning for Machine Reading Comprehension

Siru Ouyang, Zhuosheng Zhang, Hai Zhao

Generative Model-Based Feature Knowledge Distillation for Action Recognition

Guiqin Wang, Peng Zhao, Yanjiang Shi et al.

Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time

Sungyoon Kim, Mert Pilanci

On the Identifiability of Switching Dynamical Systems

Carles Balsells-Rodas, Yixin Wang, Yingzhen Li

Constrained Ensemble Exploration for Unsupervised Skill Discovery

Chenjia Bai, Rushuai Yang, Qiaosheng Zhang et al.

KeDuSR: Real-World Dual-Lens Super-resolution via Kernel-Free Matching

Huanjing Yue, Zifan Cui, Kun Li et al.

Concise Plane Arrangements for Low-Poly Surface and Volume Modelling

Raphael Sulzer, Florent Lafarge

Random features models: a way to study the success of naive imputation

Alexis Ayme, Claire Boyer, Aymeric Dieuleveut et al.

Diverse Projection Ensembles for Distributional Reinforcement Learning

Moritz Akiya Zanger, Wendelin Boehmer, Matthijs T. J. Spaan

SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation

Chen Sichen, Yingyi Zhang, Siming Huang et al.

Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions

Sachin Kumar, Chan Young Park, Yulia Tsvetkov

Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation

Dong Lao, Congli Wang, Alex Wong et al.

Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions

Saeed Khorram, Mingqi Jiang, Mohamad Shahbazi et al.

Pushing Boundaries: Mixup's Influence on Neural Collapse

Quinn Fisher, Haoming Meng, Vardan Papyan

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Yanhao Wu, Tong Zhang, Wei Ke et al.

Neural Amortized Inference for Nested Multi-Agent Reasoning

Kunal Jha, Tuan Anh Le, Chuanyang Jin et al.

Coherent Temporal Synthesis for Incremental Action Segmentation

Guodong Ding, Hans Golong, Angela Yao

Fast Encoding and Decoding for Implicit Video Representation

Hao Chen, Saining Xie, Ser-Nam Lim et al.

Weakly Supervised Few-Shot Object Detection with DETR

Chenbo Zhang, Yinglu Zhang, Lu Zhang et al.

Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing

Yunlong Zhao, Xiaoheng Deng, Yijing Liu et al.

Global Latent Neural Rendering

Thomas Tanay, Matteo Maggioni

Reinforcement Symbolic Regression Machine

Yilong Xu, Yang Liu, Hao Sun

DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation

Junkai Yan, Yipeng Gao, Qize Yang et al.

TREE-G: Decision Trees Contesting Graph Neural Networks

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning

Haozhe Jiang, Qiwen Cui, Zhihan Xiong et al.

SCPNet: Unsupervised Cross-modal Homography Estimation via Intra-modal Self-supervised Learning

Runmin Zhang, Jun Ma, Lun Luo et al.

OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition

Yuchen Pan, Junjun Jiang, Kui Jiang et al.

Language-conditioned Detection Transformer

Jang Hyun Cho, Philipp Krähenbühl

Pseudo-keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation

Yangzheng Wu, Michael Alan Greenspan

Semantic-Aware Multi-Label Adversarial Attacks

Hassan Mahmood, Ehsan Elhamifar

Discovering Novel Actions from Open World Egocentric Videos with Object-Grounded Visual Commonsense Reasoning

Sanjoy Kundu, Shubham Trehan, Sathyanarayanan Aakur

GigaHumanDet: Exploring Full-Body Detection on Gigapixel-Level Images

Chenglong Liu, Haoran Wei, Jinze Yang et al.

Repelling Random Walks

Isaac Reid, Eli Berger, Krzysztof Choromanski et al.

LiDAR-based All-weather 3D Object Detection via Prompting and Distilling 4D Radar

Yujeong Chae, HYEONSEONG KIM, Changgyoon Oh et al.

PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning

Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin et al.

CMD: A Cross Mechanism Domain Adaptation Dataset for 3D Object Detection

Jinhao Deng, Wei Ye, Hai Wu et al.

Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight

Jiacheng Guo, Minshuo Chen, Huan Wang et al.

Quantifying the Plausibility of Context Reliance in Neural Machine Translation

Gabriele Sarti, Grzegorz Chrupała, Malvina Nissim et al.

ML-SemReg: Boosting Point Cloud Registration with Multi-level Semantic Consistency

Shaocheng Yan, Pengcheng Shi, Jiayuan Li

Fast and unified path gradient estimators for normalizing flows

Lorenz Vaitl, Ludwig Winkler, Lorenz Richter et al.

Out-of-Variable Generalisation for Discriminative Models

Siyuan Guo, Jonas Wildberger, Bernhard Schoelkopf

Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries

Haitz Sáez de Ocáriz Borde, Anastasis Kratsios

Delving Deep into Engagement Prediction of Short Videos

dasong Li, Wenjie Li, Baili Lu et al.

Adapt without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models

MENGYU ZHENG, Yehui Tang, Zhiwei Hao et al.

CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering

Shaowei Wang, Lingling Zhang, Longji Zhu et al.

Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction

Lin Zhu, Yunlong Zheng, Yijun Zhang et al.

Improving image synthesis with diffusion-negative sampling

Alakh Desai, Nuno Vasconcelos

PaintHuman: Towards High-Fidelity Text-to-3D Human Texturing via Denoised Score Distillation

Jianhui Yu, Hao Zhu, Liming Jiang et al.

HARIVO: Harnessing Text-to-Image Models for Video Generation

Mingi Kwon, Seoung Wug Oh, Yang Zhou et al.

Event Trojan: Asynchronous Event-based Backdoor Attacks

Ruofei Wang, Qing Guo, Haoliang Li et al.

Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation

Yeongtak Oh, Jonghyun Lee, Jooyoung Choi et al.

PointRegGPT: Boosting 3D Point Cloud Registration using Generative Point-Cloud Pairs for Training

SUYI CHEN, Hao Xu, Haipeng Li et al.

InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization

Zhengyang Hu, Song Kang, Qunsong Zeng et al.

Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints

Yunsheng Tian, Ane Zuniga, Xinwei Zhang et al.

TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision

Zhuo Chen, Jacob McCarran, Esteban Vizcaino et al.

Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting

Qi ZHANG, Yunfei Gong, Daijie Chen et al.

Extracting Training Data From Document-Based VQA Models

Francesco Pinto, Nathalie Rauschmayr, Florian Tramer et al.

Minimizing $f$-Divergences by Interpolating Velocity Fields

Song Liu, Jiahao Yu, Jack Simons et al.

Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks

Akshay Kumar Jagadish, Julian Coda-Forno, Mirko Thalmann et al.

$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts

Guanjie Chen, Xinyu Zhao, Tianlong Chen et al.

Twice Class Bias Correction for Imbalanced Semi

supervised Learning

Position: The Causal Revolution Needs Scientific Pragmatism

Joshua Loftus

Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models

Ludwig Winkler, Lorenz Richter, Manfred Opper

Revisiting Context Aggregation for Image Matting

Qinglin Liu, Xiaoqian Lv, Quanling Meng et al.

Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions

Guneykan Ozgul, Xiantao Li, Mehrdad Mahdavi et al.

Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis

Atefeh Khoshkhahtinat, Ali Zafari, Piyush Mehta et al.

Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation

Xiawei Li, Qingyuan Xu, Jing Zhang et al.

Robustness of Nonlinear Representation Learning

Simon Buchholz, Bernhard Schölkopf

Learning to Play Atari in a World of Tokens

Pranav Agarwal, Sheldon Andrews, Samira Ebrahimi Kahou

Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond

Thanh Vu, Baochen Sun, Bodi Yuan et al.

Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation

Yan Wang, Chuan-Xian Ren, Yi-Ming Zhai et al.

Adaptive Multi-task Learning for Few-shot Object Detection

Yan Ren, Yanling Li, Wai-Kin Adams Kong

Multi-Level Cross-Modal Alignment for Image Clustering

Liping Qiu, Qin Zhang, Xiaojun Chen et al.

Scores for Learning Discrete Causal Graphs with Unobserved Confounders

Alexis Bellot, Junzhe Zhang, Elias Bareinboim

Operational Open-Set Recognition and PostMax Refinement

Steve Cruz, Ryan Rabinowitz, Manuel Günther et al.

X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-modal Reasoning

Artemis Panagopoulou, Le Xue, Ning Yu et al.

CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective

Shunsuke Yasuki, Masato Taki

Dynamic Survival Analysis with Controlled Latent States

Linus Bleistein, Van NGUYEN, Adeline Fermanian et al.

Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features

Simone Bombari, Marco Mondelli

Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations

Yejin Jeon, Yunsu Kim, Gary Geunbae Lee

Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning

Minyeong Park, Jae-Ho Lee, Gyeong-Moon Park

Long-range Turbulence Mitigation: A Large-scale Dataset and A Coarse-to-fine Framework

Shengqi Xu, Run Sun, Yi Chang et al.

Formal Logic Enabled Personalized Federated Learning through Property Inference

Ziyan An, Taylor Johnson, Meiyi Ma

Fully Geometric Panoramic Localization

Junho Kim, Jiwon Jeong, Young Min Kim

Dynamic Correlation Clustering in Sublinear Update Time

Vincent Cohen-Addad, Silvio Lattanzi, Andreas Maggiori et al.

Entropy Induced Pruning Framework for Convolutional Neural Networks

Yiheng Lu, Ziyu Guan, Yaming Yang et al.

Provably Better Explanations with Optimized Aggregation of Feature Attributions

Thomas Decker, Ananta Bhattarai, Jindong Gu et al.

Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments

Antoine Dedieu, Wolfgang Lehrach, Guangyao Zhou et al.

Neighborhood-Enhanced 3D Human Pose Estimation with Monocular LiDAR in Long-Range Outdoor Scenes

Jingyi Zhang, Qihong Mao, Guosheng Hu et al.

Impact of Decentralized Learning on Player Utilities in Stackelberg Games

Kate Donahue, Nicole Immorlica, Meena Jagadeesan et al.

Dual-Enhanced Coreset Selection with Class-wise Collaboration for Online Blurry Class Incremental Learning

Yutian Luo, Shiqi Zhao, Haoran Wu et al.

Quanta Video Restoration

PRATEEK CHENNURI, Yiheng Chi, Enze Jiang et al.

Sharpness-Aware Data Generation for Zero-shot Quantization

Hoang Dung, Cuong Pham, Trung Le et al.

Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation

Benjamin Dupuis, Umut Simsekli

Towards High-Quality 3D Motion Transfer with Realistic Apparel Animation

Rong Wang, Wei Mao, Changsheng Lu et al.

Stochastic Weakly Convex Optimization beyond Lipschitz Continuity

Wenzhi Gao, Qi Deng

SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation

Sangwoo Shin, Minjong Yoo, Jeongwoo Lee et al.

Optimal Eye Surgeon: Finding image priors through sparse generators at initialization

Avrajit Ghosh, Xitong Zhang, Kenneth Sun et al.

This Probably Looks Exactly Like That: An Invertible Prototypical Network

Zachariah Carmichael, Timothy Redgrave, Daniel Gonzalez Cedre et al.

Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming

Hany Hamed, Subin Kim, Dongyeong Kim et al.

Equilibrium of Data Markets with Externality

Safwan Hossain, Yiling Chen

CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization

Yao Ni, Piotr Koniusz

TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis

Pavlo Melnyk, Andreas Robinson, Michael Felsberg et al.

FaceRSA: RSA-Aware Facial Identity Cryptography Framework

Zhongyi Zhang, Tianyi Wei, Wenbo Zhou et al.

Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning

Inwoo Hwang, Yunhyeok Kwak, Suhyung Choi et al.

Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection

Yongwei Nie, Hao Huang, Chengjiang Long et al.

Challenges and Considerations in the Evaluation of Bayesian Causal Discovery

Amir Mohammad Karimi Mamaghan, Panagiotis Tigas, Karl Johansson et al.

Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions

Sanjay Kariyappa, Freddy Lecue, Saumitra Mishra et al.

Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration

Zhihao Wang, Yulin Zhou, Ningyu Zhang et al.

Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning

Dongkwan Kim, Alice Oh

Provably Scalable Black-Box Variational Inference with Structured Variational Families

Joohwan Ko, Kyurae Kim, Woo Chang Kim et al.

On Convergence of Incremental Gradient for Non-convex Smooth Functions

Anastasiia Koloskova, Nikita Doikov, Sebastian Stich et al.

SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER

Hang Zheng, Qingsong Li, Shen Chen et al.

Winner-takes-all learners are geometry-aware conditional density estimators

Victor Letzelter, David Perera, Cédric Rommel et al.

Cross-view and Cross-pose Completion for 3D Human Understanding

Matthieu Armando, Salma Galaaoui, Fabien Baradel et al.

Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching

Dongliang Cao, Zorah Laehner, Florian Bernard

LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer

Yuxin Cao, Ziyu Zhao, Xi Xiao et al.

Complexity of Credulous and Skeptical Acceptance in Epistemic Argumentation Framework

Gianvincenzo Alfano, Sergio Greco, Francesco Parisi et al.

Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency

Runqi Lin, Chaojian Yu, Bo Han et al.

Fixed Point Diffusion Models

Luke Melas-Kyriazi, Xingjian Bai

Self-Prompt Mechanism for Few-Shot Image Recognition

Mingchen Song, Huiqiang Wang, Guoqiang Zhong

Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images

Zhan Lu, Qian Zheng, Boxin Shi et al.

EAFormer: Scene Text Segmentation with Edge-Aware Transformers

Haiyang Yu, Teng Fu, Bin Li et al.

Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations

Daan de Geus, Gijs Dubbelman

Learning to Rank Patches for Unbiased Image Redundancy Reduction

Yang Luo, Zhineng Chen, Peng Zhou et al.

Neighboring Perturbations of Knowledge Editing on Large Language Models

Jun-Yu Ma, Zhen-Hua Ling, Ningyu Zhang et al.

DSD$^2$: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?

Victor Quetu, Enzo Tartaglione

Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit

Shintaro Nakamura, Masashi Sugiyama

Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows

Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré