Most Cited AAAI "angular margin learning" Papers
5,317 papers found • Page 15 of 27
Conference
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
Feng Shibo, Peilin Zhao, Liu Liu et al.
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection
Yutian Lei, Luping Ji, Pei Liu
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer
Xinyue Chen, Miaojing Shi, Zijian Zhou et al.
Targeted Activation Penalties Help CNNs Ignore Spurious Signals
Dekai Zhang, Matt Williams, Francesca Toni
GAS: Generative Activation-Aided Asynchronous Split Federated Learning
Jiarong Yang, Yuan Liu
Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors
Siyuan Chen, Zhuofeng Wang, Zelong Guan et al.
HVIS: A Human-like Vision and Inference System for Human Motion Prediction
Kedi Lyu, Haipeng Chen, Zhenguang Liu et al.
FIRM: Flexible Interactive Reflection ReMoval
Xiao Chen, Xudong Jiang, Yunkang Tao et al.
MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation
Xiaodan Zhang, Yanzhao Shi, Junzhong Ji et al.
Multi-Scale Contrastive Learning for Video Temporal Grounding
Thong Thanh Nguyen, Yi Bin, Xiaobao Wu et al.
Toward Efficient Data-Free Unlearning
Chenhao Zhang, Shaofei Shen, Weitong Chen et al.
Neural Networks Perform Sufficient Dimension Reduction
Shuntuo Xu, Zhou Yu
RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution
Jiangang Wang, Qingnan Fan, Jinwei Chen et al.
In-Context Policy Adaptation via Cross-Domain Skill Diffusion
Minjong Yoo, Woo Kyung Kim, Honguk Woo
Differential Alignment for Domain Adaptive Object Detection
Xinyu He, Xinhui Li, Xiaojie Guo
Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning
Jun-Xiang Mao, Yong Rui, Min-Ling Zhang
Scalable Trajectory-User Linking with Dual-Stream Representation Networks
Hao Zhang, Wei Chen, Xingyu Zhao et al.
ViT-Calibrator: Decision Stream Calibration for Vision Transformer
Lin Chen, Zhijie Jia, Lechao Cheng et al.
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property
I. Anagnostides, Ioannis Panageas, Gabriele Farina et al.
HDformer: A Higher
Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals - Ella Lan
Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior
Lee Hyoseok, Kyeong Seon Kim, Kwon Byung-Ki et al.
CohEx: A Generalized Framework for Cohort Explanation
Fanyu Meng, Xin Liu, Zhaodan Kong et al.
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
Xuechen Zhang, Mingchen Li, Jiasi Chen et al.
Fair Division with Social Impact
Michele Flammini, Gianluigi Greco, Giovanna Varricchio
High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm
Jian Li, Yong Liu, Weiping Wang
Expand VSR Benchmark for VLLM to Expertize in Spatial Rules
Peijin Xie, Lin Sun, Bingquan Liu et al.
Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
Junwei Su, Shan Wu
Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models
Chutian Meng, Fan Ma, Jiaxu Miao et al.
Rethinking Cancer Gene Identification Through Graph Anomaly Analysis
Yilong Zang, Lingfei Ren, Yue Li et al.
Enhancing Close-up Novel View Synthesis via Pseudo-labeling
Jiatong Xia, Libo Sun, Lingqiao Liu
Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages
Ashutosh Bajpai, Tanmoy Chakraborty
S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field
Zixi Liang, Guowei Xu, Haifeng Wu et al.
JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning
Boyu Chen, Peike Li, Yao Yao et al.
IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression Segmentation
Qi Chen, Changli Wu, Jiayi Ji et al.
Resource Democratization: Is Compute the Binding Constraint on AI Research?
Rebecca Gelles, Veronica Kinoshita, Micah Musser et al.
PVTree: Realistic and Controllable Palm Vein Generation for Recognition Tasks
Sheng Shang, Chenglong Zhao, Ruixin Zhang et al.
Can Generative Models Improve Self-Supervised Representation Learning?
Sana Ayromlou, Vahid Reza Khazaie, Fereshteh Forghani et al.
A Complete Algorithm for Optimization Modulo Nonlinear Real Arithmetic
Fuqi Jia, Yuhang Dong, Rui Han et al.
Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models
Quang-Hung Le, Long Hoang Dang, Ngan Hoang Le et al.
On the Power of Strategic Corpus Enrichment in Content Creation Games
Haya Nachimovsky, Moshe Tennenholtz
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
Naiyu Yin, Tian Gao, Yue Yu et al.
A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models
Yuchen Jiang, Xinyuan Zhao, Yihang Wu et al.
Discrete Curvature Graph Information Bottleneck
Xingcheng Fu, Jian Wang, Yisen Gao et al.
Pantypes: Diverse Representatives for Self-Explainable Models
Rune Kjærsgaard, Ahcène Boubekki, Line Clemmensen
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
Yufan LIAO, Qi Wu, Xing Yan
Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective
Feiyu Yao, Zongkai Wu, Li Yi
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems
Xiangming Wang, Haijin Zeng, Jiaoyang Chen et al.
Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation
Shoutao Guo, Shaolei Zhang, Zhengrui Ma et al.
Symbolic Numeric Planning with Patterns
Matteo Cardellini, E. Giunchiglia, M. Maratea
Cross-Modal Stealth: A Coarse-to-Fine Attack Framework for RGB-T Tracker
Xinyu Xiang, Qinglong Yan, Hao Zhang et al.
SVTformer: Spatial-View-Temporal Transformer for Multi-View 3D Human Pose Estimation
Wanruo Zhang, Mengyuan Liu, Hong Liu et al.
Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning
Zhiming Li, Junzhe Jiang, Yushi Cao et al.
Efficient Constraint Generation for Stochastic Shortest Path Problems
Johannes Schmalz, Felipe Trevizan
Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions
Yuya Hikima, Akiko Takeda
DialogDraw: Image Generation and Editing System Based on Multi-Turn Dialogue
Shichao Ma, Xinfeng Zhang, Zeng Zhao et al.
Statistical Spatially Inhomogeneous Diffusion Inference
Yinuo Ren, Yiping Lu, Lexing Ying et al.
TETRIS: Towards Exploring the Robustness of Interactive Segmentation
Andrey Moskalenko, Vlad Shakhuro, Anna Vorontsova et al.
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
Ruichu Cai, Haiqin Huang, Zhifan Jiang et al.
DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech
Yongkang Cheng, Shaoli Huang, Xuelin Chen et al.
HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation
Wentian Qu, Jiahe Li, Jian Cheng et al.
Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters
Weigao Sun, Yongtuo Liu, Xiaqiang Tang et al.
Low-Latency Space-Time Supersampling for Real-Time Rendering
Ruian He, Shili Zhou, Yuqi Sun et al.
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams
Brandon Gower-Winter, Georg Krempl, Sergey Dragomiretskiy et al.
BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings
Lam Ngo, Huong Ha, Jeffrey Chan et al.
Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition
Bingjun Luo, Haowen Wang, Jinpeng Wang et al.
InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models
Kai Wang, Shaozhang Niu, Qixian Hao et al.
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation
Yanna Ding, Zijie Huang, Xiao Shou et al.
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers
Runqing Jiang, Ye Zhang, Longguang Wang et al.
SigStyle: Signature Style Transfer via Personalized Text-to-Image Models
Ye Wang, Tongyuan Bai, Xuping Xie et al.
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations
Rui She, Sijie Wang, Qiyu Kang et al.
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis
Lin Yuan, Jun Xu, Honghao Gui et al.
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
Songjun Tu, Jingbo Sun, Qichao Zhang et al.
Detection-Based Intermediate Supervision for Visual Question Answering
Yuhang Liu, Daowan Peng, Wei Wei et al.
SS-GEN: A Social Story Generation Framework with Large Language Models
Yi Feng, Mingyang Song, Jiaqi Wang et al.
A Scalable and Effective Alternative to Graph Transformers
Kaan Sancak, Zhigang Hua, Jin Fang et al.
Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium
Yuma Fujimoto, Kaito Ariu, Kenshi Abe
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting
Constantin Philippenko, Kevin Scaman, Laurent Massoulié
Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
Chendi Ge, Xin Wang, Ziwei Zhang et al.
HOP to the Next Tasks and Domains for Continual Learning in NLP
Umberto Michieli, Mete Ozay
EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documents
Mengna Zhu, Kaisheng Zeng, Mao Wang et al.
Characterising Simulation-Based Program Equilibria
Emery Cooper, Caspar Oesterheld, Vincent Conitzer
Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection
Hongzhi Gao, Zheng Chen, Zehui Chen et al.
Scalable Decentralized Algorithms for Online Personalized Mean Estimation
Franco Galante, Giovanni Neglia, Emilio Leonardi
Speedup Techniques for Switchable Temporal Plan Graph Optimization
He Jiang, Muhan Lin, Jiaoyang Li
nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder
Maksim Kuznetsov, Airat Valiev, Alex Aliper et al.
Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing
Hao Li, Mengqi Huang, Lei Zhang et al.
ChatterBox: Multimodal Referring and Grounding with Chain-of-Questions
Yunjie Tian, Tianren Ma, Lingxi Xie et al.
Temporal Numeric Planning with Patterns
Matteo Cardellini, Enrico Giunchiglia
Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT Reconstruction
Xuanyu Tian, Lixuan Chen, Qing Wu et al.
Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement
Seungheun Baek, Soyon Park, Yan Ting Chok et al.
Advancing Audio-Based Text Generation with Imbalance Preference Optimization
Zhenghao Zhou, Yongjie Liu, Chen Cao
An Exercise in Tournament Design: When Some Matches Must Be Scheduled
Sushmita Gupta, Ramanujan Sridharan, Peter Strulo
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference
Zewen Jin, Shengnan Wang, Jiaan Zhu et al.
Holistic Semantic Representation for Navigational Trajectory Generation
Ji Cao, Tongya Zheng, Qinghong Guo et al.
CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis
Gyeongjin Kang, Younggeun Lee, Seungjun Oh et al.
Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images
Jiayi Kong, Xurui Song, Shuo Huai et al.
ScreenMark: Watermarking Arbitrary Visual Content on Screen
Xiujian Liang, Gaozhi Liu, Yichao Si et al.
Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network
Zida Chen, Ziran Zhang, Haoying Li et al.
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
Mingzi Wang, Yuan Meng, Chen Tang et al.
RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
Bin Zhang, Jinggang Chen, Xiaoyang Qu et al.
Residual Diffusion Deblurring Model for Single Image Defocus Deblurring
Haoxuan Feng, Haohui Zhou, Tian Ye et al.
PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition
Luoyang Lin, Zutao Jiang, Xiaodan Liang et al.
Autoregressive Sequence Modeling for 3D Medical Image Representation
Siwen Wang, Churan Wang, Fei Gao et al.
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models
Kyle Cox, Jiawei Xu, Yikun Han et al.
Hybrid-Driving: An Autonomous Driving Decision Framework Integrating Large Language Models, Knowledge Graphs and Driving Rules
Jiabao Wang, Zepeng Wu, Qian Dong et al.
Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing
Ruisi Zhao, Mingming Li, Zheng Yang et al.
A General Search-Based Framework for Generating Textual Counterfactual Explanations
Daniel Gilo, Shaul Markovitch
Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers
Ruofei Wang, Hongzhan Lin, Ziyuan Luo et al.
CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics
Ruixin Mao, Aoyu Shen, Lin Tang et al.
Risk-averse Total-reward MDPs with ERM and EVaR
Xihong Su, Marek Petrik, Julien Grand-Clément
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
Junhyeok Kang, Yooju Shin, Jae-Gil Lee
Enhancing Bilingual Lexicon Induction via Bi-directional Translation Pair Retrieving
Ding Qiuyu, Hailong Cao, Tiejun Zhao
Neural Combinatorial Clustered Bandits for Recommendation Systems
Baran Atalar, Carlee Joe-Wong
Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training
Haifan Gong, Yu Lu, Xiang Wan et al.
Approximating Metric Magnitude of Point Sets
Rayna Andreeva, James Ward, Primoz Skraba et al.
Symbolic Neural Ordinary Differential Equations
Xin Li, Chengli Zhao, Xue Zhang et al.
Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening
Ge Meng, Jingjia Huang, Jingyan Tu et al.
DreamUHD: Frequency Enhanced Variational Autoencoder for Ultra-High-Definition Image Restoration
Yidi Liu, Dong Li, Jie Xiao et al.
Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition
13319 Bingjun Luo, Zewen Wang, Jinpeng Wang et al.
Reducing Divergence in Batch Normalization for Domain Adaptation
Ellen Yi-Ge, Mingjing Wu, Zhenghan Chen
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective
Zhongjian Zhang, Mengmei Zhang, Xiao Wang et al.
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
Songwei Zhao, Yuan Jiang, Zijing Zhang et al.
Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection
Yunqian Fan, Xiuying Wei, Ruihao Gong et al.
Structural Entropy Guided Probabilistic Coding
Xiang Huang, Hao Peng, Li Sun et al.
Spatial Annealing for Efficient Few-shot Neural Rendering
Yuru Xiao, Deming Zhai, Wenbo Zhao et al.
A²RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion
Jiawei Li, Hongwei Yu, Jiansheng Chen et al.
Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection
Ziyou Liang, Weifeng Liu, Run Wang et al.
DreamAlign: Dynamic Text-to-3D Optimization with Human Preference Alignment
Gaofeng Liu, Zhiyuan Ma, Tao Fang
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning
Zhiqiang Li, Haiyong Bao, Menghong Guan et al.
A Hierarchical Network for Multimodal Document-Level Relation Extraction
Lingxing Kong, Jiuliang Wang, Zheng Ma et al.
Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models
Xiyu Liu, Zhengxiao Liu, Naibin Gu et al.
Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial Crowdsourcing
Yafei Li, Wei Chen, Jinxing Yan et al.
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
Haneol Kang, Dong-Wan Choi
Unsupervised Photometric-Consistent Depth Estimation from Endoscopic Monocular Video
Shijie Li, Weijun Lin, Qingyuan Xiang et al.
A Unified Framework for Human-Allied Learning of Probabilistic Circuits
Athresh Karanam, Saurabh Mathur, Sahil Sidheekh et al.
Fusing Conditional Submodular GAN and Programmatic Weak Supervision
Kumar Shubham, Pranav Sastry, AP Prathosh
PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF
Mohsen Gholami, Rabab Ward, Z. Jane Wang
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data
Qian-Wei Wang, Bowen Zhao, Mingyan Zhu et al.
First-Order Automata
Luca Geatti, Alessandro Gianola, Nicola Gigante
A New Adversarial Perspective for LiDAR-based 3D Object Detection
Shijun Zheng, Weiquan Liu, Yu Guo et al.
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation
Songyuan Lei, Xinglong Chang, Zhizhi Yu et al.
Enhancing Multi-View Classification Reliability with Adaptive Rejection
Wei Liu, Yufei Chen, Xiaodong Yue
Collaborative Semantic Consistency Alignment for Blended-Target Domain Adaptation
Yuwu Lu, Xue Hu, Waikeung Wong et al.
Differentiable Information Enhanced Model-Based Reinforcement Learning
Xiaoyuan Zhang, Xinyan Cai, Bo Liu et al.
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning
Yujing Wang, Hainan Zhang, Sijia Wen et al.
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models
Yanming Liu, Xinyue Peng, Yuwei Zhang et al.
Medical Manifestation-Aware De-Identification
Yuan Tian, Shuo Wang, Guangtao Zhai
Neural Control and Certificate Repair via Runtime Monitoring
Emily Yu, Đorđe Žikelić, Thomas A. Henzinger
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation
Xiaobin Huang, Lei Song, Ke Xue et al.
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
Xiao Tian, Rachael Hwee Ling Sim, Jue Fan et al.
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
Guang-Yuan Hao, Hengguan Huang, Haotian Wang et al.
Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation
Shunfan Zheng, Xiechi Zhang, Gerard de Melo et al.
An Automatic Sound and Complete Abstraction Method for Generalized Planning with Baggable Types
Hao Dong, Zheyuan Shi, Hemeng Zeng et al.
Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment
Yuanfan Zheng, Jinlin Wu, Wuyang Li et al.
E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS
Ziyang Zhang, Yang Zhao, Ming-Ching Chang et al.
TdAttenMix: Top-Down Attention Guided Mixup
Zhiming Wang, Lin Gu, Feng Lu
EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics
Xiaochuan Liu, Xin Cheng, Yuchong Sun et al.
General Uncertainty Estimation with Delta Variances
Simon Schmitt, John Shawe-Taylor, Hado van Hasselt
RepeatLeakage: Leak Prompts from Repeating as Large Language Model Is a Good Repeater
Yu Peng, Lijie Zhang, Peizhuo Lv et al.
Asymptotic Extinction in Large Coordination Games
Desmond Chan, Bart De Keijzer, Tobias Galla et al.
Unleashing the Potential of Model Bias for Generalized Category Discovery
Wenbin An, Haonan Lin, Jiahao Nie et al.
Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach
Aowen Wang, Zhiwang Zhang, Dongang Wang et al.
SECodec: Structural Entropy-based Compressive Speech Representation Codec for Speech Language Models
Linqin Wang, Yaping Liu, Zhengtao Yu et al.
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
Guy Azran, Mohamad H Danesh, Stefano Albrecht et al.
Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction
Haoran Xu, Peixi Peng, Xinyi Zhang et al.
Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation
Huayu Mai, Rui Sun, Feng Wu
Aligning Composed Query with Image via Discriminative Perception from Negative Correspondences
Yifan Wang, Wuliang Huang, Chun Yuan
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration
Xilong Zhao, Siyuan Bian, Yaoyun Zhang et al.
Enhancing Noise-Robust Losses for Large-Scale Noisy Data Learning
Max Staats, Matthias Thamm, Bernd Rosenow
An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes
Amar Shah, Federico Mora, Sanjit A. Seshia
AUC Optimization from Multiple Unlabeled Datasets
Zheng Xie, Yu Liu, Ming Li
ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color Consistency
Yang Ren, Hai Jiang, Menglong Yang et al.
Rethinking Robustness of Model Attributions
Sandesh Kamath, Sankalp Mittal, Amit Deshpande et al.
Exploring Salient Object Detection with Adder Neural Networks
Bo-Wen Yin, Zheng Lin
Extract Free Dense Misalignment from CLIP
JeongYeon Nam, Jinbae Im, Wonjae Kim et al.
Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations
Stephen Carrow, Kyle Erwin, Olga Vilenskaia et al.
Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation
Dongyue Wu, Zilin Guo, Li Yu et al.
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline
Zekai Zhang, Qinghui Chen, Maomao Xiong et al.
FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles
Tian-Hao Zhang, Jiawei Zhang, Jun Wang et al.
Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models
Chun-Yen Shih, Li-Xuan Peng, Jia-Wei Liao et al.
Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving
Javier Larrosa, Conrado Martínez, Emma Rollon
Towards Equipping Transformer with the Ability of Systematic Compositionality
Chen Huang, Peixin Qin, Wenqiang Lei et al.
Efficient Event-Based Semantic Segmentation via Exploiting Frame-Event Fusion: A Hybrid Neural Network Approach
Hebei Li, Yansong Peng, Jiahui Yuan et al.
Online Sensitivity Optimization in Differentially Private Learning
8623 Filippo Galli, Catuscia Palamidessi, Tommaso Cucinotta
Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection
Weihong Bi, Feifei Kou, Lei Shi et al.
The Complexity of Extending Fair Allocations of Indivisible Goods
Argyrios Deligkas, Eduard Eiben, Robert Ganian et al.
FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video Editing
Lingling Cai, Kang Zhao, Hangjie Yuan et al.
Sharpening Neural Implicit Functions with Frequency Consolidation Priors
Chao Chen, Yu-Shen Liu, Zhizhong Han
ObjVariantEnsemble: Advancing Point Cloud LLM Evaluation in Challenging Scenes with Subtly Distinguished Objects
Qihang Cao, Huangxun Chen
Optimising Spatial Teamwork Under Uncertainty
Gregory Everett, Ryan J. Beal, Tim Matthews et al.
Rethinking High-speed Image Reconstruction Framework with Spike Camera
Kang Chen, Yajing Zheng, Tiejun Huang et al.
MUN: Image Forgery Localization Based on M³ Encoder and UN Decoder
Yaqi Liu, Shuhuan Chen, Haichao Shi et al.
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning
Xinyang Liu, Pengchao Han, Xuan Li et al.
Learning the Topology and Behavior of Discrete Dynamical Systems
Zirou Qiu, Abhijin Adiga, Madhav Marathe et al.
Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization
Mingtao Feng, Fenghao Tian, Jianqiao Luo et al.
Active Learning Guided by Efficient Surrogate Learners
Yunpyo An, Suyeong Park, Kwang In Kim
Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking
Xin Tong, Shi Peng, Baojie Tian et al.
Non-monotone Sequential Submodular Maximization
Shaojie Tang, Jing Yuan
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis
Kunming Tang, Zhiguo Jiang, Jun Shi et al.
Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time
Aakash, Indranil Saha