Most Cited AAAI "vector quantised-variational autoencoder" Papers

Subgraph Aggregation for Out-of-Distribution Generalization on Graphs

Bowen Liu, Haoyang Li, Shuning Wang et al.

RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting

Shuo Yang, Bardh Prenkaj, Gjergji Kasneci

WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia

Kenichiro Ando, S. Sekine, Mamoru Komachi

Finding Visual Saliency in Continuous Spike Stream

Lin Zhu, Xianzhang Chen, Xiao Wang et al.

Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach

Hugo Math, Rainer Lienhart, Robin Schön

PICNN: A Pathway towards Interpretable Convolutional Neural Networks

Wengang Guo, Jiayi Yang, HuiLin YIN et al.

DLCA-Recon: Dynamic Loose Clothing Avatar Reconstruction from Monocular Videos

Chunjie Luo, Fei Luo, Yusen Wang et al.

Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning

Muzhi Li, Cehao Yang, Chengjin Xu et al.

Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation

Zhen Zhang, Junfeng Yang, Limei Liu et al.

Compact HD Map Construction via Douglas-Peucker Point Transformer

Ruixin Liu, Zejian Yuan

Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion

Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki et al.

Response Enhanced Semi-supervised Dialogue Query Generation

Jianheng Huang, Ante Wang, Linfeng Gao et al.

MagicNaming: Consistent Identity Generation by Finding a “Name Space” in T2I Diffusion Models

Jing Zhao, Heliang Zheng, Chaoyue Wang et al.

Optimized Gradient Clipping for Noisy Label Learning

Xichen Ye, Yifan Wu, Weizhong Zhang et al.

Doubly Perturbed Task Free Continual Learning

Byung Hyun Lee, Min-hwan Oh, Se Young Chun

HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting

Fengyu Yan, Xiaobao Wang, Dongxiao He et al.

Towards Learnable Anchor for Deep Multi-View Clustering

Bocheng Wang, Chusheng Zeng, Mulin Chen et al.

Storynizor: Consistent Story Generation via Inter-Frame Synchronized and Shuffled ID Injection

Yuhang Ma, Wenting Xu, Chaoyi Zhao et al.

Understanding and Leveraging the Learning Phases of Neural Networks

PMAC: Personalized Multi-Agent Communication

Xiangrui Meng, Ying Tan

Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning

Xingbo Fu, Zihan Chen, Yinhan He et al.

Modeling Knowledge Graphs with Composite Reasoning

Wanyun Cui, Linqiu Zhang

Few-Shot, No Problem: Descriptive Continual Relation Extraction

Nguyen Xuan Thanh, Anh Duc Le, Quyen Tran et al.

APIRL: Deep Reinforcement Learning for REST API Fuzzing

Myles Foley, Sergio Maffeis

Drop the Beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation

Ziqian Ning, Shuai Wang, Yuepeng Jiang et al.

Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint

Yong-Min Shin, Siqing Li, Xin Cao et al.

Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization

Jiaxin Deng, Junbiao Pang, Baochang Zhang et al.

CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework

Wei Chen, Yuting Wu, Shuhan Wu et al.

How to Make Knockout Tournaments More Popular?

Juhi Chaudhary, Hendrik Molter, Meirav Zehavi

Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications

Yutong Xia, Runpeng Yu, Yuxuan Liang et al.

Balanced and Fair Partitioning of Friends

Argyrios Deligkas, Eduard Eiben, Stavros D. Ioannidis et al.

RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning

Haorong Han, Jidong Yuan, Chixuan Wei et al.

Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation

Yiwei Shi, Muning Wen, Qi Zhang et al.

SCOPE: Sign Language Contextual Processing with Embedding from LLMs

Yuqi Liu, Wenqian Zhang, Sihan Ren et al.

Personalized Lip Reading: Adapting to Your Unique Lip Movements with Vision and Language

Jeong Hun Yeo, Chae Won Kim, Hyunjun Kim et al.

Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark

Yongliang Wu, Wenbo Zhu, Jiawang Cao et al.

ProtCLIP: Function-Informed Protein Multi-Modal Learning

Hanjing Zhou, Mingze Yin, Wei Wu et al.

MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation

Guokai Sun, Yuan Zhuang, Shuo Zhang et al.

EMPLACE: Self-Supervised Urban Scene Change Detection

Tim Alpherts, Sennay Ghebreab, Nanne van Noord

OAC: Output-adaptive Calibration for Accurate Post-training Quantization

Ali Edalati, Alireza Ghaffari, Mahsa Ghazvini Nejad et al.

Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation

Suho Park, SuBeen Lee, Hyun Seok Seong et al.

MonoBox: Tightness-Free Box-Supervised Polyp Segmentation Using Monotonicity Constraint

Qiang Hu, Zhenyu Yi, Ying Zhou et al.

Feature Clipping for Uncertainty Calibration

Linwei Tao, Minjing Dong, Chang Xu

ReFF: Reinforcing Format Faithfulness in Language Models Across Varied Tasks

Jiashu Yao, Heyan Huang, Zeming Liu et al.

Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions

Prajwal Gatti, Kshitij Parikh, Dhriti Paul et al.

Precision-Enhanced Human-Object Contact Detection via Depth-Aware Perspective Interaction and Object Texture Restoration

Yuxiao Wang, Wenpeng Neng, Zhenao Wei et al.

Multi-View Collaborative Learning Network for Speech Deepfake Detection

Kuiyuan Zhang, Zhongyun Hua, Rushi Lan et al.

Novel Class Discovery in Chest X-rays via Paired Images and Text

Jiaying Zhou, Yang Liu, Qingchao Chen

GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers

Dahun Choi, Hyun Kim

CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identification

Jiyang Xu, Qi Wang, Xin Xiong et al.

Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution

Shengjia Zhang, Jiawei Chen, Changdong Li et al.

Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning

Xianda Wang, Yaqi Qiao, Duo Wu et al.

ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps

Xingke Song, Xiaoying Yang, Chenglin Yao et al.

TGBFormer: Transformer-GraphFormer Blender Network for Video Object Detection

Qiang Qi, Xiao Wang

Towards Realistic Semi-supervised Medical Image Classification

Wenxue Li, Lie Ju, Feilong Tang et al.

Decoupling Appearance Variations with 3D Consistent Features in Gaussian Splatting

Jiaqi Lin, Zhihao Li, Binxiao Huang et al.

C2PD: Continuity-Constrained Pixelwise Deformation for Guided Depth Super-Resolution

Jiahui Kang, Qing Cai, Runqing Tan et al.

Cached Transformers: Improving Transformers with Differentiable Memory Cached

Zhaoyang Zhang, Wenqi Shao, Yixiao Ge et al.

Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation

Federico Julian Camerota Verdù, Lorenzo Castelli, Luca Bortolussi

Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders

Bumsoo Kim, Jinhyung Kim, Yeonsik Jo et al.

OODML: Whole Slide Image Classification Meets Online Pseudo-Supervision and Dynamic Mutual Learning

Tingting Zheng, Kui Jiang, Hongxun Yao et al.

Input Margins Can Predict Generalization Too

Coenraad Mouton, Marthinus Wilhelmus Theunissen, Marelie H Davel

ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning

Yang YU, Danruo Deng, Furui Liu et al.

Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales

Xinyu Yang, Yu Sun, Xinyang Chen et al.

Frequency-Aware Density Control via Reparameterization for High-Quality Rendering of 3D Gaussian Splatting

Zhaojie Zeng, Yuesong Wang, Lili Ju et al.

Structured IB: Improving Information Bottleneck with Structured Feature Learning

Hanzhe Yang, Youlong Wu, Dingzhu Wen et al.

Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models

Authors: Jinqian Chen, Jihua Zhu, Qinghai Zheng et al.

CLIP-PCQA: Exploring Subjective-Aligned Vision-Language Modeling for Point Cloud Quality Assessment

Yating Liu, Yujie Zhang, Ziyu Shan et al.

AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection

GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph Generation

Sizhe Hu, Wenming Wu, Yuntao Wang et al.

AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images

Yihang Liu, Lianghua He, Ying Wen et al.

E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning

8445 Wangkun Xu, Jianhong Wang, Fei Teng

Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity

Tianqi Shen, Shaohua Liu, Jiaqi Feng et al.

MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance

Jialong Guo, Ke Liu, Jiangchao Yao et al.

Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models

Yang Liu

Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space

Xiaoyan Yu, Yifan Wei, Shuaishuai Zhou et al.

Rethinking Causal Relationships Learning in Graph Neural Networks

Hang Gao, Chengyu Yao, Jiangmeng Li et al.

ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation

Qiuzhen Lin, Yangfan Chen, Lijia Ma et al.

Revisiting CAD Model Generation by Learning Raster Sketch

Pu Li, Wenhao Zhang, Jianwei Guo et al.

Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization

Dongping Liao, Xitong Gao, Chengzhong Xu

Learning Discrete-Time Major-Minor Mean Field Games

Kai Cui, Gökçe Dayanıklı, Mathieu Laurière et al.

Specifying What You Know or Not for Multi-Label Class-Incremental Learning

Aoting Zhang, Dongbao Yang, Chang Liu et al.

Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion

Cunhang Fan, Yujie Chen, Jun Xue et al.

How Many Lines to Paint the City: Exact Edge-Cover in Temporal Graphs

Argyrios Deligkas, Michelle Döring, Eduard Eiben et al.

Reliable Data Generation and Selection for Low-Resource Relation Extraction

Junjie Yu, Xing Wang, Wenliang Chen

Active Fourier Auditor for Estimating Distributional Properties of ML Models

Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu

AoP-SAM: Automation of Prompts for Efficient Segmentation

Yi Chen, Muyoung Son, Chuanbo Hua et al.

Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization

Ruijia Zhang, Mingxi Lei, Meng Ding et al.

Is There No Such Thing as a Bad Question? H4R: HalluciBot for Ratiocination, Rewriting, Ranking, and Routing

William Watson, Nicole Cho, Nishan Srishankar

A No Free Lunch Theorem for Human-AI Collaboration

Kenny Peng, Nikhil Garg, Jon Kleinberg

Multimodal Variational Autoencoder: A Barycentric View

Peijie Qiu, Wenhui Zhu, Sayantan Kumar et al.

Envy-Free House Allocation under Uncertain Preferences

Haris Aziz, Isaiah Iliffe, Bo Li et al.

CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models

Dongfang Li, Zetian Sun, Xinshuo Hu et al.

Responsibility in Extensive Form Games

Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression

Chuqin Zhou, Guo Lu, Jiangchuan Li et al.

DesignEdit: Unify Spatial-Aware Image Editing via Training-free Inpainting with a Multi-Layered Latent Diffusion Framework

Yueru Jia, Aosong Cheng, Yuhui Yuan et al.

EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models

GuangHao Meng, Sunan He, Jinpeng Wang et al.

Action-Agnostic Point-Level Supervision for Temporal Action Detection

Shuhei M. Yoshida, Takashi Shibata, Makoto Terao et al.

CAR-Transformer: Cross-Attention Reinforcement Transformer for Cross-Lingual Summarization

Yuang Cai, Yuyu Yuan

Progressive Text-to-Image Diffusion with Soft Latent Direction

YuTeng Ye, Jiale Cai, Hang Zhou et al.

SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness

Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha et al.

CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance

Yupu Hao, Pengfei Cao, Zhuoran Jin et al.

Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters

WenZheng Zhang, Yang Hu, Jing Shi et al.

Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification

Wei Tan, Ngoc Dang Nguyen, Lan Du et al.

CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation

Hongyang Chen, Kaisheng Ma

Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs

Marcel Wienöbst, Benito van der Zander, Maciej Liskiewicz

Harnessing Edge Information for Improved Robustness in Vision Transformers

Yanxi Li, Chengbin Du, Chang Xu

InstructOCR: Instruction Boosting Scene Text Spotting

Chen Duan, Qianyi Jiang, Pei Fu et al.

CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression

Xinjie Zhang, Shenyuan Gao, Zhening Liu et al.

Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search

Walter Gerych, Yara Rizk, Vatche Isahagian et al.

DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation

Fan Wang, Chaochao Chen, Weiming Liu et al.

Intra and Inter Parser-Prompted Transformers for Effective Image Restoration

Cong Wang, Jinshan Pan, Liyan Wang et al.

Generative Medical Segmentation

Jiayu Huo, Xi Ouyang, Sébastien Ourselin et al.

Protect Your Score: Contact-Tracing with Differential Privacy Guarantees

Rob Romijnders, Christos Louizos, Yuki Asano et al.

Maximizing the Success Probability of Policy Allocations in Online Systems

Artem Betlei, Mariia Vladimirova, Mehdi Sebbar et al.

DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning

Shenghe Zheng, Hongzhi Wang, Tianyu Mu

One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training

Lianbo Ma, Yuee Zhou, Jianlun Ma et al.

Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera

Junwei Zhao, Shiliang Zhang, Zhaofei Yu et al.

Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing

Hanfei Yu, Jian Li, Yang Hua et al.

Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks

Alexander Jaus, Constantin Marc Seibold, Simon Reiß et al.

Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation

Haipeng Chen, Sifan Wu, Zhigang Wang et al.

GraSP: Simple Yet Effective Graph Similarity Predictions

Haoran Zheng, Jieming Shi, Renchi Yang

Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations

Zilin Wang, Haolin Zhuang, Lu Li et al.

Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach

Hang Gao, Chenhao Zhang, Fengge Wu et al.

Long-Tailed Learning as Multi-Objective Optimization

Weiqi Li, Fan Lyu, Fanhua Shang et al.

Expressive Power of Temporal Message Passing

Przemysław Andrzej Wałęga, Michael Rawson

RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise

Ziniu Yin, Yanglin Feng, Ming Yan et al.

mmFAS: Multimodal Face Anti-Spoofing Using Multi-Level Alignment and Switch-Attention Fusion

Geng Chen, Wuyuan Xie, Di Lin et al.

Commonsense for Zero-Shot Natural Language Video Localization

Meghana Holla, Ismini Lourentzou

Noise-Resilient Symbolic Regression with Dynamic Gating Reinforcement Learning

Chenglu Sun, Shuo Shen, Wenzhi Tao et al.

mRNA2vec: mRNA Embedding with Language Model in the 5'UTR-CDS for mRNA Design

Honggen Zhang, Xiangrui Gao, June Zhang et al.

Adaptive Shortcut Debiasing for Online Continual Learning

Doyoung Kim, Dongmin Park, Yooju Shin et al.

On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods

Anh Duc Nguyen, Tuan Dung Nguyen, Quang Nguyen et al.

Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual

Ruichu Cai, Yuxuan Zhu, Jie Qiao et al.

Exploring Activation Patterns of Parameters in Language Models

Yudong Wang, Damai Dai, Zhe Yang et al.

FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update

Ziru Niu, Hai Dong, A. K. Qin

RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction

Yemin Yu, Luotian Yuan, Ying WEI et al.

SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation

Yinqiao Wang, Hao Xu, Pheng-Ann Heng et al.

PointTalk: Audio-Driven Dynamic Lip Point Cloud for 3D Gaussian-based Talking Head Synthesis

Yifan Xie, Tao Feng, Xin Zhang et al.

Universality of Real Minimal Complexity Reservoir

Robert Simon Fong, Boyu Li, Peter Tino

Higher Order Structures for Graph Explanations

Akshit Sinha, Sreeram Vennam, Charu Sharma et al.

Competition among Pairwise Lottery Contests

Xiaotie Deng, Hangxin Gan, Ningyuan Li et al.

Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching

Siddharth Tourani, Muhammad Haris Khan, Carsten Rother et al.

AIM: Additional Image Guided Generation of Transferable Adversarial Attacks

Teng Li, Xingjun Ma, Yu-Gang Jiang

Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests

Kristin Blesch, Niklas Koenen, Jan Kapar et al.

HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction

Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos et al.

DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solving Machine Number Reasoning

Chengtai Li, Yee Yang Tan, Yuting He et al.

Step-Calibrated Diffusion for Biomedical Optical Image Restoration

Yiwei Lyu, Sung Jik Cha, Cheng Jiang et al.

EditBoard: Towards a Comprehensive Evaluation Benchmark for Text-Based Video Editing Models

Yupeng Chen, Penglin Chen, Xiaoyu Zhang et al.

Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment

Yuang Cai, Yuyu Yuan, Jinsheng Shi et al.

On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design

Ziqiao Ao, Jinglai Li

Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection

Ziyi Zhou, Xiaoming Zhang, Shenghan Tan et al.

Interacted Object Grounding in Spatio-Temporal Human-Object Interactions

Xiaoyang Liu, Boran Wen, Xinpeng Liu et al.

PHFormer: Multi-Fragment Assembly Using Proxy-Level Hybrid Transformer

Wenting Cui, Runzhao Yao, Shaoyi Du

k-HyperEdge Medoids for Clustering Ensemble

Feijiang Li, Jieting Wang, Liuya Zhang et al.

Correcting Large Language Model Behavior via Influence Function

Han Zhang, Zhuo Zhang, Yi Zhang et al.

Parameterized Projected Bellman Operator

Théo Vincent, Alberto Maria Metelli, Boris Belousov et al.

SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation

Shi-Feng Peng, Guolei Sun, Yong Li et al.

CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender Systems

Weiqi Yue, Yuyu Yin, Xin Zhang et al.

Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation

Jinda Xu, Yuhao Song, Daming Wang et al.

RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation

Zijin Liu, Xiang Zhao, You Song

Semi-supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance

Duc-Hai Pham, Duc-Dung Nguyen, Anh Pham et al.

Improved Maximin Share Approximations for Chores by Bin Packing

Jugal Garg, Xin Huang, Erel Segal-Halevi

Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI

Qinqian Lei, Bo Wang, Robby T. Tan

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics

Li Sun, Ziheng Zhang, Zixi Wang et al.

Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System

Ruining Zhang, Haoran Han, Maolong Lv et al.

DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer’s Disease

Tingyu Mo, Jacqueline C. K. Lam, Victor O. K. Li et al.

Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding

Wenbo Zhang, Lu Zhang, Ping Hu et al.

The Value of Recall in Extensive-Form Games

Ratip Emin Berker, Emanuel Tewolde, Ioannis Anagnostides et al.

Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data

Weiran Pan, Wei Wei, Feida Zhu et al.

Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay

Ruiheng Liu, Jinyu Zhang, Yanqi Song et al.

PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks

Chen Feng, Ziquan Liu, Zhuo Zhi et al.

Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration

Yunshuai Zhou, Junbo Qiao, Jincheng Liao et al.

GCD: Advancing Vision-Language Models for Incremental Object Detection via Global Alignment and Correspondence Distillation

Xu Wang, Zilei Wang, Zihan Lin

Semi-Supervised Online Cross-Modal Hashing

Xiao Kang, Xingbo Liu, Xuening Zhang et al.

Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal

Yuwen He, Wei Wang, Wanyu Wu et al.

END^2: Robust Dual-Decoder Watermarking Framework Against Non-Differentiable Distortions

Nan Sun, Han Fang, Yuxing Lu et al.

PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium

Xinzhe Li, Jiahui Zhan, Shengfeng He et al.

Analytically Tractable Models for Decision Making under Present Bias

Yasunori Akagi, Naoki Marumo, Takeshi Kurashima

Training Matting Models Without Alpha Labels

Wenze Liu, Zixuan Ye, Hao Lu et al.

L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression

Junxuan Zhang, Zhengxue Cheng, Yan Zhao et al.

Towards Audio-Visual Navigation in Noisy Environments: A Large-Scale Benchmark Dataset and an Architecture Considering Multiple Sound-Sources

Zhanbo Shi, Lin Zhang, Linfei Li et al.

Benchmarking and Understanding Compositional Relational Reasoning of LLMs

Ruikang Ni, Da Xiao, Qingye Meng et al.

Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers

Qi Deng, Shuaicheng Niu, Ronghao Zhang et al.

Mental-Perceiver: Audio-Textual Multi-Modal Learning for Estimating Mental Disorders

Jinghui Qin, Changsong Liu, Tianchi Tang et al.

Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation

9135 Yu Wang, Zexue He, Zhankui He et al.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation

Weinan He, Zilei Wang, Yixin Zhang

What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer

Chaeyeon Chung, Sunghyun Park, Jeongho Kim et al.

Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms

Ruixiao Zhang, Tianchi Huang

Enhancing Portuguese Variety Identification with Cross-Domain Approaches

Hugo Sousa, Rúben Almeida, Purificação Silvano et al.

Learning Robust and Privacy-Preserving Representations via Information Theory

Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong et al.

Operationalising Rawlsian Ethics for Fairness in Norm Learning Agents

Jessica Woodgate, Paul Marshall, Nirav Ajmeri

PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs

Deividas Eringis, John Leth, Zheng-Hua Tan et al.

Revisiting Interpolation for Noisy Label Correction

Yuanzhuo Xu, Xiaoguang Niu, Jie Yang et al.

Distributed Manifold Hashing for Image Set Classification and Retrieval

Xiaobo Shen, Peizhuo Song, Yun-Hao Yuan et al.

SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning

Jun Feng, Yuzhe Lai, Hong Sun et al.

Layer-Wise Representation Fusion for Compositional Generalization

Yafang Zheng, Lei Lin, Shuangtao Li et al.

Semantic-Aware Data Augmentation for Text-to-Image Synthesis

Zhaorui Tan, Xi Yang, Kaizhu Huang

Distribution-Consistency-Guided Multi-modal Hashing

Jin-Yu Liu, Xian-Ling Mao, Tian-Yi Che et al.

3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous Driving

Boyi Sun, Yuhang Liu, Xingxia Wang et al.