Most Cited AAAI "ensemble robustness" Papers
5,317 papers found • Page 4 of 27
Conference
Understanding Emotional Body Expressions via Large Language Models
Haifeng Lu, Jiuyi Chen, Feng Liang et al.
Tuning-Free Inversion-Enhanced Control for Consistent Image Editing
Xiaoyue Duan, Shuhao Cui, Guoliang Kang et al.
Task-Disruptive Background Suppression for Few-Shot Segmentation
Suho Park, SuBeen Lee, Sangeek Hyun et al.
Diff-Shadow: Global-guided Diffusion Model for Shadow Removal
Jinting Luo, Ru Li, Chengzhi Jiang et al.
Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition
Bozheng Li, Mushui Liu, Gaoang Wang et al.
UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution
Gengrui Zhang, Xiaoshuang Chen, Yao WANG et al.
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
HyunGi Kim, Siwon Kim, Jisoo Mok et al.
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection
Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang et al.
BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion
Zhaochen Liu, Zhixuan Li, Tingting Jiang
HandDiffuse: Generative Controllers for Two-Hand Interactions via Diffusion Models
Pei Lin
Bridging the Gap for Test-Time Multimodal Sentiment Analysis
Zirun Guo, Tao Jin, Wenlong Xu et al.
Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding
Yichi Zhang, Zhihao Duan, Ming Lu et al.
Learning Spatially Collaged Fourier Bases for Implicit Neural Representation
Jason Chun Lok Li, Chang Liu, Binxiao Huang et al.
Union Subgraph Neural Networks
Jiaxing Xu, Aihu Zhang, Qingtian Bian et al.
From Words to Worth: Newborn Article Impact Prediction with LLM
Penghai Zhao, Qinghua Xing, Kairan Dou et al.
Federated Learning with Sample-level Client Drift Mitigation
Haoran Xu, Jiaze Li, Wanyi Wu et al.
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
Yan Fan, Yu Wang, Pengfei Zhu et al.
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training
Ting Wang, Zhixin Zhou, Rui Luo
Robust Nonparametric Regression under Poisoning Attack
Puning Zhao, Zhiguo Wan
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers
Juncan Deng, Shuaiting Li, Zeyu Wang et al.
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
Da Luo, Yanglei Gan, Rui Hou et al.
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation
Zhuohang Dang, Minnan Luo, Chengyou Jia et al.
Non-parametric Representation Learning with Kernels
Hebaixu Wang, Meiqi Gong, Xiaoguang Mei et al.
DELTA: Pre-Train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment
Haitao Li, Qingyao Ai, Xinyan Han et al.
Learning to Pivot as a Smart Expert
Tianhao Liu, Shanwen Pu, Dongdong Ge et al.
Tri-Ergon: Fine-Grained Video-to-Audio Generation with Multi-Modal Conditions and LUFS Control
Bingliang Li, Fengyu Yang, Yuxin Mao et al.
X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-Modal Knowledge Transfer
Linglin Jing, Ying Xue, Xu Yan et al.
Planning in the Dark: LLM-Symbolic Planning Pipeline Without Experts
Sukai Huang, Nir Lipovetzky, Trevor Cohn
Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video
Zhaobo Qi, Yibo Yuan, Xiaowen Ruan et al.
Test-Time Personalization with Meta Prompt for Gaze Estimation
Huan Liu, Julia Qi, Zhenhao Li et al.
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization
Feize Wu, Yun Pang, Junyi Zhang et al.
SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter
Ying-Ying Chang, Wei-Yao Wang, Wen-Chih Peng
SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning
Yuxin Deng, Jiayi Ma
One Step Closer to Unbiased Aleatoric Uncertainty Estimation
Wang Zhang, Ziwen Martin Ma, Subhro Das et al.
KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models
Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao et al.
Gaussian Process Neural Additive Models
Wei Zhang, Brian Barr, John Paisley
Continuous Piecewise-Affine Based Motion Model for Image Animation
Hexiang Wang, Fengqi Liu, Qianyu Zhou et al.
STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM
Yiheng Huang, Xiaowei Mao, Shengnan Guo et al.
Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models
Yan Huang, Xiaoshan Liao, Jinxiu Liang et al.
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models
Zheng Hu, Zhe Li, Ziyun Jiao et al.
Uncertainty Regularized Evidential Regression
Kai Ye, Tiejin Chen, Hua Wei et al.
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity
Zuozhen Zhang, Junzhong Ji, Jinduo Liu
SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining
Pei-Kai Huang, Jun-Xiong Chong, Cheng-Hsuan Chiang et al.
Knowledge-Aware Parameter Coaching for Personalized Federated Learning
Mingjian Zhi, Yuanguo Bi, Wenchao Xu et al.
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
Bao Li, Zhenyu Liu, Lizhi Shao et al.
OmniCount: Multi-label Object Counting with Semantic-Geometric Priors
Anindya Mondal, Sauradip Nag, Xiatian Zhu et al.
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification
Yang Mu, Muhammad Shahzad, Xiao Xiang Zhu
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective
Minh Le, Tien Ngoc Luu, An Nguyen The et al.
MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios
Jiacheng Ruan, Wenzhen Yuan, Zehao Lin et al.
Conformal Thresholded Intervals for Efficient Regression
Rui Luo, Zhixin Zhou
Stability in Online Coalition Formation
Authors: Martin Bullinger, René Romen
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models
Haonan Yuan, Qingyun Sun, Zhaonan Wang et al.
Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning
Yimeng Shan, Malu Zhang, Rui-jie Zhu et al.
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah et al.
Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning
Mushui Liu, Fangtai Wu, Bozheng Li et al.
QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning
Fang-Xiang Wu, Minghan Fu
MIDI-GPT: A Controllable Generative Model for Computer-Assisted Multitrack Music Composition
Philippe Pasquier, Jeff Ens, Nathan Fradet et al.
Pareto Set Learning for Multi-Objective Reinforcement Learning
Erlong Liu, Yu-Chang Wu, Xiaobin Huang et al.
Revisiting Tampered Scene Text Detection in the Era of Generative AI
Chenfan Qu, Yiwu Zhong, Fengjun Guo et al.
Colour Passing Revisited: Lifted Model Construction with Commutative Factors
Malte Luttermann, Tanya Braun, Ralf Möller et al.
11293 Cross-Class Feature Augmentation for Class Incremental Learning
Taehoon Kim, JaeYoo Park, Bohyung Han
Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval
Zhe Ma, Jianfeng Dong, Shouling Ji et al.
Semi-supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix
Kewei Wang, Yizheng Wu, Zhiyu Pan et al.
Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge
Seong-Tae Kim, Hyungil Kim, Y. Ro
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training
Khoi M. Le, Trinh Pham, Tho Quan et al.
B-spine: Learning B-spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation
Hao Wang, Qiang Song, Ruofeng Yin et al.
VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation
Jialu Li, Aishwarya Padmakumar, Gaurav Sukhatme et al.
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
Jinmin He, Kai Li, Yifan Zang et al.
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search
Thomy Phan, Taoan Huang, Bistra Dilkina et al.
Multi-View Dynamic Reflection Prior for Video Glass Surface Detection
Fang Liu, Yuhao Liu, Jiaying Lin et al.
Delivering Inflated Explanations
Yacine Izza, Alexey Ignatiev, Peter Stuckey et al.
Towards Optimal Subsidy Bounds for Envy-Freeable Allocations
Yasushi Kawase, Kazuhisa Makino, Hanna Sumita et al.
ParZC: Parametric Zero-Cost Proxies for Efficient NAS
Peijie Dong, Lujun Li, Zhenheng Tang et al.
PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus
Florian Kluger, Bodo Rosenhahn
Cumulative Regret Analysis of the Piyavskii–Shubert Algorithm and Its Variants for Global Optimization
Kaan Gokcesu, Hakan Gökcesu
GRPose: Learning Graph Relations for Human Image Generation with Pose Priors
Xiangchen Yin, Donglin Di, Lei Fan et al.
Symmetric Self-Paced Learning for Domain Generalization
Di Zhao, Yun Sing Koh, Gillian Dobbie et al.
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting
Yulong Wang, Yushuo Liu, Xiaoyi Duan et al.
Completing Priceable Committees: Utilitarian and Representation Guarantees for Proportional Multiwinner Voting
Markus Brill, Jannik Peters
Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility
Fang Kong, Shuai Li
Understanding and Improving Optimization in Predictive Coding Networks
Nicholas Alonso, Jeffrey Krichmar, Emre Neftci
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction
Qi Liu, Xuyang Hou, Defu Lian et al.
Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction
Wei Qian, Chenxu Zhao, Yangyi Li et al.
LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement
Renyuan Peng, Xinyue Cai, Hang Xu et al.
Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models
Haoran Ye, Yuhang Xie, Yuanyi Ren et al.
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
Yuecen Wei, Haonan Yuan, Xingcheng Fu et al.
Efficient Gaussian Splatting for Monocular Dynamic Scene Rendering via Sparse Time-Variant Attribute Modeling
Hanyang Kong, Xingyi Yang, Xinchao Wang
Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video Diffusion
Jingyuan Chen, Fuchen Long, Jie An et al.
Geometry-Guided Domain Generalization for Monocular 3D Object Detection
Fan Yang, Hui Chen, Yuwei He et al.
Exact ASP Counting with Compact Encodings
Mohimenul Kabir, Supratik Chakraborty, Kuldeep S Meel
GraphAvatar: Compact Head Avatars with GNN-Generated 3D Gaussians
Xiaobao Wei, Peng Chen, Ming Lu et al.
NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization
Danial Kamali, Elham J. Barezi, Parisa Kordjamshidi
Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo
Hongjie Li, Yao Guo, Xianwei Zheng et al.
Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought
Li Zheng, Hao Fei, Fei Li et al.
Contributing Dimension Structure of Deep Feature for Coreset Selection
Zhijing Wan, Zhixiang Wang, Yuran Wang et al.
Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification
Minghui Liao, Guojia Wan, Bo Du
Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation
Hao Liu, Xin Li, Mingming Gong et al.
DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation
Zhehao Wang, Xian Lin, Nannan Wu et al.
Revisiting Multimodal Fusion for 3D Anomaly Detection from an Architectural Perspective
Kaifang Long, Guoyang Xie, Lianbo Ma et al.
Seeing Your Speech Style: A Novel Zero-Shot Identity-Disentanglement Face-based Voice Conversion
Yan Rong, Li Liu
SC-NeuS: Consistent Neural Surface Reconstruction from Sparse and Noisy Views
Shi-Sheng Huang, Zixin Zou, Yichi Zhang et al.
Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation
Changshuo Wang, Shuting He, Xiang Fang et al.
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting
Jingru Fei, Kun Yi, Wei Fan et al.
MobileInst: Video Instance Segmentation on the Mobile
Renhong Zhang, Tianheng Cheng, Shusheng Yang et al.
VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression
Won Jo, Geuntaek Lim, Gwangjin Lee et al.
Speech Recognition Meets Large Language Model: Benchmarking, Models, and Exploration
Ziyang Ma, Guanrou Yang, Yifan Yang et al.
Confidence Estimation for Error Detection in Text-to-SQL Systems
Oleg Somov, Elena Tutubalina
AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference
Zhuomin He, Yizhen Yao, Pengfei Zuo et al.
SlerpFace: Face Template Protection via Spherical Linear Interpolation
Zhizhou Zhong, Yuxi Mi, Yuge Huang et al.
OctOcc: High-Resolution 3D Occupancy Prediction with Octree
Wenzhe Ouyang, Xiaolin Song, Bailan Feng et al.
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval
Zexuan Qiu, Jiahong Liu, Yankai Chen et al.
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
Yongzhe Jia, Xuyun Zhang, Amin Beheshti et al.
UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks
Yuanbin Qian, Shuhan Ye, Chong Wang et al.
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans
Heng Guo, Jianfeng Zhang, Jiaxing Huang et al.
Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-Resolution
Karam Park, Jae Woong Soh, Nam Ik Cho
Light-T2M: A Lightweight and Fast Model for Text-to-motion Generation
Ling-An Zeng, Guohong Huang, Gaojie Wu et al.
Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger
Yi Yu, Song Xia, Xun Lin et al.
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective
Bo Ni, Yu Wang, Lu Cheng et al.
FedLF: Layer-Wise Fair Federated Learning
Zibin Pan, Chi Li, Fangchen Yu et al.
KPL: Training-Free Medical Knowledge Mining of Vision-Language Models
Jiaxiang Liu, Tianxiang Hu, Jiawei Du et al.
Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label
Quanjiang Li, Tingjin Luo, Mingdie Jiang et al.
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis
Weikai Li, Ding Wang, Zijian Ding et al.
Region-Based Optimization in Continual Learning for Audio Deepfake Detection
Yujie Chen, Jiangyan Yi, Cunhang Fan et al.
Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network
Xiang Fang, Wanlong Fang, Changshuo Wang et al.
Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera
Chengxu Liu, Xuan Wang, Yuanting Fan et al.
DM-Adapter: Domain-Aware Mixture-of-Adapters for Text-Based Person Retrieval
Yating Liu, Zimo Liu, Xiangyuan Lan et al.
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
Hyunjun Ju, SeongKu Kang, Dongha Lee et al.
Scalable Surrogate Verification of Image-Based Neural Network Control Systems Using Composition and Unrolling
Feiyang Cai, Chuchu Fan, Stanley Bak
Intrinsic Phase-Preserving Networks for Depth Super Resolution
Xuanhong Chen, Hang Wang, Jinfan Liu et al.
Learning Subject-Aware Cropping by Outpainting Professional Photos
James Hong, Lu Yuan, Michaël Gharbi et al.
Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
Van Thuy Hoang, O-Joun Lee
Link Prediction in Multilayer Networks via Cross-Network Embedding
Guojing Ren, Xiao Ding, Xiao-Ke Xu et al.
DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes
Yiyuan Liang, Zhiying Yan, Liqun Chen et al.
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
Hantao Yang, Xutong Liu, Zhiyong Wang et al.
One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception
Bohan Li, Yasheng Sun, Jingxin Dong et al.
VIXEN: Visual Text Comparison Network for Image Difference Captioning
Alexander Black, Jing Shi, Yifei Fan et al.
Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning
Ancong Wu, Wei-shi Zheng
ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision
Ke Xu, Tsun Wai Siu, Rynson W.H. Lau
Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition - And Ways to Overcome Them
Harish Haresamudram, Apoorva Beedu, Mashfiqui Rabbi et al.
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization
Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
Learning Visual Abstract Reasoning through Dual-Stream Networks
Kai Zhao, Chang Xu, Bailu Si
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study
Qiyu Kang, Kai Zhao, Yang Song et al.
Unsupervised Group Re-identification via Adaptive Clustering-Driven Progressive Learning
Hongxu Chen, Quan Zhang, Jian-Huang Lai et al.
Multi-Dimensional Fair Federated Learning
Cong Su, Guoxian Yu, Jun Wang et al.
DeepCalliFont: Few-Shot Chinese Calligraphy Font Synthesis by Integrating Dual-Modality Generative Models
Yitian Liu, Zhouhui Lian
MegActor-Sigma: Unlocking Flexible Mixed-Modal Control in Portrait Animation with Diffusion Transformer
Shurong Yang, Huadong Li, Juhao Wu et al.
GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization
Yirui Chen, Xudong Huang, Quan Zhang et al.
Comprehensive View Embedding Learning for Single-Cell Multimodal Integration
Zhenchao Tang, Jiehui Huang, Guanxing Chen et al.
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
Hongshu Guo, Zeyuan Ma, Jiacheng Chen et al.
Selective Visual Prompting in Vision Mamba
Yifeng Yao, Zichen Liu, Zhenyu Cui et al.
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning
Hang Du, Xuejun Yan, Jingjing Wang et al.
Efficient Axiomatization of OWL 2 EL Ontologies from Data by Means of Formal Concept Analysis
Francesco Kriegel
Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning
Hai-Ming Xu, Qi Chen, Lei Wang et al.
Unraveling Batch Normalization for Realistic Test-Time Adaptation
Zixian Su, Jingwei Guo, Kai Yao et al.
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA
Chengen Lai, Shengli Song, Shiqi Meng et al.
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
Wenze Chen, Shiyu Huang, Yuan Chiang et al.
Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning
Bang Yang, Yong Dai, Xuxin Cheng et al.
Radiology Report Generation via Multi-objective Preference Optimization
Ting Xiao, Lei Shi, Peng Liu et al.
Live and Learn: Continual Action Clustering with Incremental Views
Xiaoqiang Yan, Yingtao Gan, Yiqiao Mao et al.
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix
Xiaopei Wu, Liang Peng, Liang Xie et al.
ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation
Mengyang Wu, Yuzhi Zhao, Jialun Cao et al.
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
Zizhao Wang, Caroline Wang, Xuesu Xiao et al.
Axiomatic Aggregations of Abductive Explanations
Gagan Biradar, Yacine Izza, Elita Lobo et al.
Constrained Fair and Efficient Allocations
Benjamin Cookson, Soroush Ebadian, Nisarg Shah
MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion Recognition
Yang Yang, Xunde Dong, Yupeng Qiang
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
Yutong Wu, Di Huang, Wenxuan Shi et al.
PTMQ: Post-training Multi-Bit Quantization of Neural Networks
Ke Xu, Zhongcheng Li, Shanshan Wang et al.
Efficient 3D Recognition with Event-driven Spike Sparse Convolution
Xuerui Qiu, Man Yao, Jieyuan Zhang et al.
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
Xinghao Wang, Junliang He, Pengyu Wang et al.
PowerMLP: An Efficient Version of KAN
Ruichen Qiu, Yibo Miao, Shiwen Wang et al.
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
Youngjae Cho, HeeSun Bae, Seungjae Shin et al.
Accurate and Regret-Aware Numerical Problem Solver for Tabular Question Answering
Yuxiang Wang, Jianzhong Qi, Junhao Gan
ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks
Feiyang Wang, Xingquan Zuo, Hai Huang et al.
GENTEEL-NEGOTIATOR: LLM-Enhanced Mixture-of-Expert-Based Reinforcement Learning Approach for Polite Negotiation Dialogue
Priyanshu Priya, Rishikant Chigrupaatii, Mauajama Firdaus et al.
ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation
Shiqi Huang, Shuting He, Bihan Wen
TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings
Alexander Shabalin, Viacheslav Meshchaninov, Egor Chimbulatov et al.
A Primal-Dual Algorithm for Hybrid Federated Learning
Tom Overman, Garrett Blum, Diego Klabjan
Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images
Ruohua Shi, Lingyu Duan, Tiejun Huang et al.
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis
Esteve Valls Mascaro, Hyemin Ahn, Dongheui Lee
All-in-One: Transferring Vision Foundation Models into Stereo Matching
Jingyi Zhou, Haoyu Zhang, Jiakang Yuan et al.
DiffCalib: Reformulating Monocular Camera Calibration as Diffusion-Based Dense Incident Map Generation
Xiankang He, Guangkai Xu, Bo Zhang et al.
CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation
Han He, Qianchu Liu, Lei Xu et al.
BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining
Minjun Kim, SeungWoo Song, Youhan Lee et al.
TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification
Rui Song, Fausto Giunchiglia, Yingji Li et al.
Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views
Shuai Guo, Qiuwen Wang, Yijie Gao et al.
ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models
Yeji Park, Deokyeong Lee, Junsuk Choe et al.
DIUSum: Dynamic Image Utilization for Multimodal Summarization
Min Xiao, Junnan Zhu, Feifei Zhai et al.
Knowledge Guided Semi-supervised Learning for Quality Assessment of User Generated Videos
Shankhanil Mitra, Rajiv Soundararajan
Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion
Honglei Miao, Fan Ma, Ruijie Quan et al.
Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval
Yuan Li, Liangli Zhen, Yuan Sun et al.
MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context
Shuai Lyu, Rongchen Zhang, Zeqi Ma et al.
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis
Jiexi Liu, Meng Cao, Songcan Chen
Colorizing Monochromatic Radiance Fields
Yean Cheng, Renjie Wan, Shuchen Weng et al.
MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification
Jimin Park, AHyun Ji, Minji Park et al.
Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video
Junkai Fan, Kun Wang, Zhiqiang Yan et al.
Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile
Seokjun Lee, Seung-Won Jung, Hyunseok Seo
Gaze from Origin: Learning for Generalized Gaze Estimation by Embedding the Gaze Frontalization Process
Mingjie Xu, Feng Lu
HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation
Tengfei Liu, Jiapu Wang, Yongli Hu et al.
Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios
Mohammad Rafid Ul Islam, Prasad Tadepalli, Alan Fern
Residual Hyperbolic Graph Convolution Networks
Yangkai Xue, Jindou Dai, Zhipeng Lu et al.