Most Cited AAAI "unnormalized target distributions" Papers
5,317 papers found • Page 13 of 27
Conference
Int*-Match: Balancing Intra-Class Compactness and Inter-Class Discrepancy for Semi-Supervised Speaker Recognition
Xingmei Wang, Jinghan Liu, Jiaxiang Meng et al.
GURecon: Learning Detailed 3D Geometric Uncertainties for Neural Surface Reconstruction
Zesong Yang, Ru Zhang, Jiale Shi et al.
UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis
Zemin Yang, Yujing Sun, Xidong Peng et al.
Enhancing Entertainment Translation for Indian Languages Using Adaptive Context, Style and LLMs
Pratik Rakesh Singh, Mohammadi Zaki, Pankaj Wasnik
Hansel: Output Length Controlling Framework for Large Language Models
Seoha Song, Junhyun Lee, Hyeonmok Ko
MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge
Maxwell J. Yin, Boyu Wang, Charles Ling
Unsupervised Region-Based Image Editing of Denoising Diffusion Models
Zixiang Li, Yue Song, Renshuai Tao et al.
DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation
Tom Segal, Asaf Shabtai, Yuval Elovici
NOMATTERXAI: Generating “No Matter What” Alterfactual Examples for Explaining Black-Box Text Classification Models
Tuc Van Nguyen, James Michels, Hua Shen et al.
Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent
Xiang Li, Qiaomin Xie
Dynamic Syntactic Feature Filtering and Injecting Networks for Cross-lingual Dependency Parsing
Jianjian Liu, Zhengtao Yu, Ying Li et al.
KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models
Yarin Yerushalmi Levi, Edita Grolman, Idan Yankelev et al.
Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary
Yanhua Li, Xiaocao Ouyang, Chaofan Pan et al.
SongGLM: Lyric-to-Melody Generation with 2D Alignment Encoding and Multi-Task Pre-Training
Jiaxing Yu, Xinda Wu, Yunfei Xu et al.
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
Linhao Li, Yongzhang Tan, Siyuan Yang et al.
An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing
Lei Li, Haochen Yang, Jiacheng Guo et al.
Multi-Label Ranking Loss Minimization for Matrix Completion
Jiaxuan Li, Xiaoyan Zhu, Hongrui Wang et al.
Modeling All Response Surfaces in One for Conditional Search Spaces
Jiaxing Li, Wei Liu, Chao Xue et al.
HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning
Jianfeng Li, Jiawen Zhang, Feng Wang et al.
Learning Causal Transition Matrix for Instance-dependent Label Noise
Jiahui Li, Tai-Wei Chang, Kun Kuang 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.
3CAD: A Large-Scale Real-World 3C Product Dataset for Unsupervised Anomaly Detection
Enquan Yang, Peng Xing, Hanyang Sun et al.
FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-from-gradients
Jiaqi Leng, Yakun Ju, Yuanxu Duan et al.
AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors
Hao Li, Fanggao Wan, Yue Su et al.
PlanLLM: Video Procedure Planning with Refinable Large Language Models
Dejie Yang, Zijing Zhao, Yang Liu
k-HyperEdge Medoids for Clustering Ensemble
Feijiang Li, Jieting Wang, Liuya Zhang et al.
AIA: Autoregression-Based Injection Attacks Against Text2SQL Models
Deyin Li, Xiang Ling, Changjiang Li et al.
Robust Image Hashing Based on Contrastive Masked Autoencoder with Weak-Strong Augmentation Alignment
Cundian Yang, Guibo Luo, Yuesheng Zhu et al.
Marginal Benefit Driven RL Teacher for Unsupervised Environment Design
Dexun Li, Wenjun Li, Pradeep Varakantham
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning
Daoyuan Li, Zuyuan Yang, Shengli Xie
Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition
Chaohua Li, Enhao Zhang, Chuanxing Geng et al.
Concept Matching with Agent for Out-of-Distribution Detection
Yuxiao Lee, Xiaofeng Cao, Jingcai Guo et al.
M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving
Xuesong Chen, Shaoshuai Shi, Tao Ma et al.
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data
Cheuk Hang Leung, Yiyan Huang, Yijun Li et al.
Towards Trustable SHAP Scores
Olivier Létoffé, Xuanxiang Huang, Joao Marques-Silva
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models
YangTian Yan, Jinyu Tian
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection
Yutian Lei, Luping Ji, Pei Liu
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation
Ke Yan, Qing Cai, Fan Zhang et al.
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
Shiqi Lei, Kanghoon Lee, Linjing Li et al.
Maximizing the Position Embedding for Vision Transformers with Global Average Pooling
Wonjun Lee, Bumsub Ham, Suhyun Kim
Towards Universal Rainy Image Restoration: Benchmark and Baseline
Hujie Yan
Enabling Region-Specific Control via Lassos in Point-Based Colorization
Sanghyeon Lee, Jooyeol Yun, Jaegul Choo
CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data Synthesizing
Seungcheol Lee, Moohong Min
Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms
Junyong Lee, Jeihee Cho, Shiho Kim
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
Junghun Lee, Hyunju Kim, Fanchen Bu et al.
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization
Jin-Seop Lee, Noo-ri Kim, Jee-Hyong Lee
Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning
Jeong Woon Lee, Hyoseok Hwang
HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation
Giwoong Lee, Jiseung Ahn, Jeongyeol Choe
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
Geon Lee, Wenchao Yu, Kijung Shin et al.
Physical Marker: Revealing Invisible Hyperlinks Hidden in Printed Trademarks
Yuliang Xue, Lei Tan, Guobiao Li et al.
MAMS: Model-Agnostic Module Selection Framework for Video Captioning
Sangho Lee, Il Yong Chun, Hogun Park
TC-Diffuser: Bi-Condition Multi-Modal Diffusion for Tropical Cyclone Forecasting
Shiqi Zhang, Pan Mu, Cheng Huang et al.
Truncated Gaussian Policy for Debiased Continuous Control
Ganghun Lee, Minji Kim, Minsu Lee et al.
Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP
Anton Lee, Heitor Murilo Gomes, Yaqian Zhang et al.
Explainable Neural Networks with Guarantee: A Sparse Estimation Approach
Antoine Ledent, Peng Liu
RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection Prompting
Wen Xue, Chun Ding, Ruotao Xu et al.
De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem
Zhao-Rong Lai, Xiaotian Wu, Liangda Fang et al.
CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization
Yuanhao Lai, Pengfei Zheng, Chenpeng Ji et al.
NBA3D: Neighbor-Based Confidence Adjustment for 3D Rare Object Detection Using LiDAR
Jooyoung Lee, Jaeyoon Lee, Jongwon Choi
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
Jiahao Lai, Jiaqi Li, Jian Xu et al.
Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks
Lorenz Kummer, Samir Moustafa, Wilfried Gansterer et al.
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP
Zhongxing Xu, Feilong Tang, Zhe Chen et al.
Selective Uncertainty Propagation in Offline RL
Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya et al.
FATE: Feature-Adapted Parameter Tuning for Vision-Language Models
Zhengqin Xu, Zelin Peng, Xiaokang Yang et al.
FLAME: Learning to Navigate with Multimodal LLM in Urban Environments
Yunzhe Xu, Yiyuan Pan, Zhe Liu et al.
Sample-aware Adaptive Structured Pruning for Large Language Models
Jun Kong, Xinge Ma, Jin Wang et al.
OOTDiffusion: Outfitting Fusion Based Latent Diffusion for Controllable Virtual Try-On
Yuhao Xu, Tao Gu, Weifeng Chen et al.
Rethinking Open-Vocabulary Segmentation of Radiance Fields in 3D Space
Hyunjee Lee, Youngsik Yun, Jeongmin Bae et al.
Ultra-High-Definition Dynamic Multi-Exposure Image Fusion via Infinite Pixel Learning
Xingchi Chen, Zhuoran Zheng, Xuerui Li et al.
Diffusion-Based Active Learning for Distributed Client Manifolds
Kwang In Kim
HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection
Yongchao Xu, Jiawei Liu, Sen Tao et al.
To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation
Jungkyu Kim, Kibok Lee, Taeyoung Park
Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning
Junghun Kim, Ka Hyun Park, Hoyoung Yoon et al.
Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models
Yifang Xu, Yunzhuo Sun, Benxiang Zhai et al.
T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation
Dongyeon Kim, Yejin Kan, Gangman Yi
LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data
Shaocong Xu, Pengfei Li, Qianpu Sun et al.
Learning Structural Causal Models from Ordering: Identifiable Flow Models
Minh Khoa Le, Kien Do, Truyen Tran
Color Transfer with Modulated Flows
Maria Larchenko, Alexander Lobashev, Dmitry Guskov et al.
ExPERT: Modeling Human Behavior Under External Stimuli Aware Personalized MTPP
Subhendu Khatuya, Ritvik Vij, Paramita Koley et al.
On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs
Kushal Kejriwal, Nikhil Karamchandani, Jayakrishnan Nair
SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection
Ruoyu Xu, Zhiyu Xiang, Chenwei Zhang et al.
Don’t Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs
Christodoulos Kechris, Jonathan Dan, Jose Miranda et al.
GenPlan: Generative Sequence Models as Adaptive Planners
Akash Karthikeyan, Yash Vardhan Pant
Multiple Feature Refining Network for Visual Emotion Distribution Learning
Qinfu Xu, Shaozu Yuan, Yiwei Wei et al.
Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training
Yunwei Lan, Zhigao Cui, Chang Liu et al.
DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models
Wei Chen, Jianwei Niu, Xuefeng Liu et al.
Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction
Ran Zhang, Xuezhi Wang, Guannan Liu et al.
DAMMFND: Domain-Aware Multimodal Multi-view Fake News Detection
Weihai Lu, Yu Tong, Zhiqiu Ye
Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap
Nikolai Karpov, Chen Wang
AudioGenX: Explainability on Text-to-Audio Generative Models
Hyunju Kang, Geonhee Han, Yoonjae Jeong et al.
Equal Merit Does Not Imply Equality: Discrimination at Equilibrium in a Hiring Market with Symmetric Agents
Serafina Kamp, Benjamin Fish
OmniSR: Shadow Removal Under Direct and Indirect Lighting
Jiamin Xu, Zelong Li, Yuxin Zheng et al.
SAFIRE: Segment Any Forged Image Region
Myung-Joon Kwon, Wonjun Lee, Seung-Hun Nam et al.
Discovering Symmetries of ODEs by Symbolic Regression
Paul Kahlmeyer, Niklas Merk, Joachim Giesen
Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model
Jiahua Xu, Dawei Zhou, Lei Hu et al.
IsUMap: Manifold Learning and Data Visualization Leveraging Vietoris-Rips Filtrations
Parvaneh Joharinad, Hannaneh Fahimi, Lukas Silvester Barth et al.
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference
Zewen Jin, Shengnan Wang, Jiaan Zhu et al.
A Unified Degradation-Robust Approach to SSL and UDA for 3D Medical Images
Suruchi Kumari, Pravendra Singh
FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning
Zhonghua Jiang, Jimin Xu, Shengyu Zhang et al.
A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models
Yuchen Jiang, Xinyuan Zhao, Yihang Wu et al.
Stable Mean Teacher for Semi-supervised Video Action Detection
Akash Kumar, Sirshapan Mitra, Yogesh Singh Rawat
Cross-View Referring Multi-Object Tracking
Sijia Chen, En Yu, Wenbing Tao
Efficient Traffic Prediction Through Spatio-Temporal Distillation
Qianru Zhang, Xinyi Gao, Haixin Wang et al.
M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge
Xuanming Jiang, Baoyi An, Guoshuai Zhao et al.
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
Nan Jiang, Md Nasim, Yexiang Xue
Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering
Bingbing Jiang, Chenglong Zhang, Xinyan Liang et al.
3DHumanEdit: Multi-modal Body Part-aware Conditioning Information Integration for 3D Human Manipulation
FeiFan Xu, Tianyi Chen, Fan Yang et al.
Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization
Xuemei Jia, Jiawei Du, Hui Wei et al.
Association Pattern-enhanced Molecular Representation Learning
Lingxiang Jia, Yuchen Ying, Tian Qiu et al.
Read, Watch and Scream! Sound Generation from Text and Video
Yujin Jeong, Yunji Kim, Sanghyuk Chun et al.
TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection
Jaeseok Jang, Hyuk-Yoon Kwon
Less Is More: Token Context-Aware Learning for Object Tracking
Chenlong Xu, Bineng Zhong, Qihua Liang et al.
FR²Seg: Continual Segmentation Across Multiple Sites via Fourier Style Replay and Adaptive Consistency Regularization
Cheng Xu, Weiwen Zhang, Hongrui Zhang et al.
Discovering Options That Minimize Average Planning Time
Alexander Ivanov, Akhil Bagaria, George Konidaris
Approximate State Abstraction for Markov Games
Hiroki Ishibashi, Kenshi Abe, Atsushi Iwasaki
DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles
Chejian Xu, Aleksandr Petiushko, Ding Zhao et al.
Real-Time Neural Denoising with Render-Aware Knowledge Distillation
Mengxun Kong, Jie Guo, Chen Wang et al.
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
Yongqi Huang, Jitao Zhao, Dongxiao He et al.
Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic Segmentation
Jingqiao Xiu, Mengze Li, Zongxin Yang et al.
Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images
Jiayi Kong, Xurui Song, Shuo Huai et al.
Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection
Shunxin Chen, Ajian Liu, Junze Zheng et al.
BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking
Yuxuan Liu, Hongda Sun, Wenya Guo et al.
SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression
Xinhao Huang, You-Liang Huang, Zeyi Wen
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection
Xiaoyu Huang, Weidong Chen, Bo Hu et al.
HieraFashDiff: Hierarchical Fashion Design with Multi-stage Diffusion Models
Zhifeng Xie, Hao Li, Huiming Ding et al.
GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image Segmentation
Wei Huang, Lei Zhang, Zizhou Wang et al.
PointTalk: Audio-Driven Dynamic Lip Point Cloud for 3D Gaussian-based Talking Head Synthesis
Yifan Xie, Tao Feng, Xin Zhang et al.
Enhance Vision-Language Alignment with Noise
Sida Huang, Hongyuan Zhang, Xuelong Li
Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling
Shiluo Huang, Yining Jin, Wei Jin et al.
Expand VSR Benchmark for VLLM to Expertize in Spatial Rules
Peijin Xie, Lin Sun, Bingquan Liu et al.
UniDet3D: Multi-dataset Indoor 3D Object Detection
Maksim Kolodiazhnyi, Anna Vorontsova, Matvey Skripkin et al.
GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning
Jintao Huang, Yiu-ming Cheung, Chi-man Vong et al.
Discrete Prior-Based Temporal-Coherent Content Prediction for Blind Face Video Restoration
Lianxin Xie, Bingbing Zheng, Wen Xue et al.
PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning
Chengxiang Huang, Bingyan Liu
Multi-view Evidential Learning-based Medical Image Segmentation
Chao Huang, Yushu Shi, Waikeung Wong et al.
TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning
Jingjing Xie, Yuxin Zhang, Jun Peng et al.
TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning
Baichuan Huang, Amir Aminifar
R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance Exploration
Yang Hua, Tianyang Xu, Xiaoning Song et al.
Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic Segmentation
Jianxiang Xie, Yao Wu, Yachao Zhang et al.
Sequence Matters: Harnessing Video Models in 3D Super-Resolution
Hyun-kyu Ko, Dongheok Park, Youngin Park et al.
Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution
Sen Chen, Hongying Liu, Chaowei Fang et al.
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
Yifan Hu, Peiyuan Liu, Peng Zhu et al.
Transfer Learning Meets Functional Linear Regression: No Negative Transfer Under Posterior Drift
Xiaoyu Hu, Zhenhua Lin
Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined
Shizhe Hu, Binyan Tian, Weibo Liu et al.
Cross-modulated Attention Transformer for RGBT Tracking
Yun Xiao, Jiacong Zhao, Andong Lu et al.
Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing
Rongyao Hu, Jiangzhang Gan, Mengmeng Zhan et al.
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding
Dou Hu, Lingwei Wei, Wei Zhou et al.
Adaptive Multimodal Fusion: Dynamic Attention Allocation for Intent Recognition
Bo Hu, Kai Zhang, Yanghai Zhang et al.
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection
Yue Hou, He Zhu, Ruomei Liu et al.
Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video Retrieval
Jian Xiao, Zhenzhen Hu, Jia Li et al.
ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image Captioning
Taewhan Kim, Soeun Lee, Si-Woo Kim et al.
Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation
Di Hong, Yueming Wang
Boosting Vision State Space Model with Fractal Scanning
Haoke Xiao, Lv Tang, Peng-tao Jiang et al.
Multimodal Promptable Token Merging for Diffusion Models
Cheng-Yao Hong, Tyng-Luh Liu
KernelMatmul: Scaling Gaussian Processes to Large Time Series
Tilman Hoffbauer, Holger H. Hoos, Jakob Bossek
SMR-Net: Semantic-Guided Mutually Reinforcing Network for Cross-Modal Image Fusion and Salient Object Detection
Guobao Xiao, Xinyu Liu, Zebin Lin et al.
TSDF-Based Efficient Motion-Compensated Temporal Interpolation for 3D Dynamic Sequences
Soowoong Kim, Minseong Kwon, Junho Choi et al.
Infinite-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation
Qihua Chen, Yue Ma, Hongfa Wang et al.
TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning
Yupei Liu, Yanting Wang, Jinyuan Jia
Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning
Zehua Han, Jing Xiao, Qirui Zhao et al.
Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning
Zhenlong Dai, Bingrui Chen, Zhuoluo Zhao et al.
Data Augmentation for Instruction Following Policies via Trajectory Segmentation
Niklas Hoepner, Ilaria Tiddi, Herke van Hoof
Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling
Marzi Heidari, Yuhong Guo
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies
Zhouyu He, Peng Qiao, Rongchun Li et al.
MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head Generation
Seyeon Kim, Siyoon Jin, Jihye Park et al.
CAMH: Advancing Model Hijacking Attack in Machine Learning
Xing He, Jiahao Chen, Yuwen Pu et al.
CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing
Xiaole Xian, Xilin He, Zenghao Niu et al.
MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis
Wanggui He, Siming Fu, Mushui Liu et al.
Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation
Qiuyan He, Minghua Deng
PlaNet: Learning to Mitigate Atmospheric Turbulence in Planetary Images
Yifei Xia, Chu Zhou, Chengxuan Zhu et al.
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning
Jialuo He, Wei Chen, Xiaojin Zhang
DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework
Zhihao Hao, Bob Zhang, Haisheng Li
ProtoOcc: Accurate, Efficient 3D Occupancy Prediction Using Dual Branch Encoder-Prototype Query Decoder
Jungho Kim, Changwon Kang, Dongyoung Lee et al.
DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation
Jisoo Kim, Jungbin Cho, Joonho Park et al.
Content-aware Balanced Spectrum Encoding in Masked Modeling for Time Series Classification
Yudong Han, Haocong Wang, Yupeng Hu et al.
RETRACTED: GEONet: Global Enhancement and Optimization Network for Lane Detection
Suyang Xi, Yunhao Liu, Hong Ding et al.
Scalable Acceleration for Classification-Based Derivative-Free Optimization
Tianyi Han, Jingya Li, Zhipeng Guo et al.
DrugHash: Hashing Based Contrastive Learning for Virtual Screening
Jin Han, Yun Hong, Wu-Jun Li
Unified Knowledge Maintenance Pruning and Progressive Recovery with Weight Recalling for Large Vision-Language Models
Zimeng Wu, Jiaxin Chen, Yunhong Wang
Who’s the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration
Karina Halevy, Karly Hou, Charumathi Badrinath
CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning
Qiuru Hai, Yongjian Deng, Yuena Lin et al.
APR-RD: Complemental Two Steps for Self-Supervised Real Image Denoising
Hyunjun Kim, Nam Ik Cho
CustomContrast: A Multilevel Contrastive Perspective for Subject-Driven Text-to-Image Customization
Nan Chen, Mengqi Huang, Zhuowei Chen et al.
Federated Causally Invariant Feature Learning
Xianjie Guo, Kui Yu, Lizhen Cui et al.
Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration
Hyeonseok Kim, Byeongkeun Kang, Yeejin Lee
Exploring Vacant Classes in Label-Skewed Federated Learning
Kuangpu Guo, Yuhe Ding, Jian Liang et al.
Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment
Haoren Guo, Haiyue Zhu, Jiahui Wang et al.
MUCD: Unsupervised Point Cloud Change Detection via Masked Consistency
Yue Wu, Zhipeng Wang, Yongzhe Yuan et al.
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling
Donghyun Kim, Hyeonkyeong Kwon, Yumin Kim et al.
Contrasting Adversarial Perturbations: The Space of Harmless Perturbations
Lu Chen, Shaofeng Li, Benhao Huang et al.
Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model
Haozhen Zhang, Haodong Yue, Xi Xiao et al.
Heterogeneous Graph Neural Network on Semantic Tree
Mingyu Guan, Jack W Stokes, Qinlong Luo et al.
Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark
Yongliang Wu, Wenbo Zhu, Jiawang Cao et al.
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
Alessio Gravina, Moshe Eliasof, Claudio Gallicchio et al.
Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation
Yirui Wu, Yuhang Xia, Hao Li et al.
Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs
Tony Gracious, Arman Gupta, Ambedkar Dukkipati
Offline Safe Reinforcement Learning Using Trajectory Classification
Ze Gong, Akshat Kumar, Pradeep Varakantham
CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities
Tao Wu, Yong Zhang, Xintao Wang et al.
Efficient Graph Bandit Learning with Side-Observations and Switching Constraints
Xueping Gong, Jiheng Zhang
Conformal Prediction for Partial Label Learning
Xiuwen Gong, Nitin Bisht, Guandong Xu