Most Cited AAAI "spacetime dependencies" Papers
5,317 papers found • Page 21 of 27
Conference
GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning
Jintao Huang, Yiu-ming Cheung, Chi-man Vong et al.
Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling
Shiluo Huang, Yining Jin, Wei Jin et al.
Enhance Vision-Language Alignment with Noise
Sida Huang, Hongyuan Zhang, Xuelong Li
GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image Segmentation
Wei Huang, Lei Zhang, Zizhou Wang et al.
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection
Xiaoyu Huang, Weidong Chen, Bo Hu et al.
SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression
Xinhao Huang, You-Liang Huang, Zeyi Wen
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.
Approximate State Abstraction for Markov Games
Hiroki Ishibashi, Kenshi Abe, Atsushi Iwasaki
Discovering Options That Minimize Average Planning Time
Alexander Ivanov, Akhil Bagaria, George Konidaris
TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection
Jaeseok Jang, Hyuk-Yoon Kwon
Read, Watch and Scream! Sound Generation from Text and Video
Yujin Jeong, Yunji Kim, Sanghyuk Chun et al.
Association Pattern-enhanced Molecular Representation Learning
Lingxiang Jia, Yuchen Ying, Tian Qiu et al.
Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization
Xuemei Jia, Jiawei Du, Hui Wei et al.
Collaborative Similarity Fusion and Consistency Recovery for Incomplete Multi-view Clustering
Bingbing Jiang, Chenglong Zhang, Xinyan Liang et al.
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
Nan Jiang, Md Nasim, Yexiang Xue
M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge
Xuanming Jiang, Baoyi An, Guoshuai Zhao et al.
A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models
Yuchen Jiang, Xinyuan Zhao, Yihang Wu et al.
FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning
Zhonghua Jiang, Jimin Xu, Shengyu Zhang et al.
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference
Zewen Jin, Shengnan Wang, Jiaan Zhu et al.
IsUMap: Manifold Learning and Data Visualization Leveraging Vietoris-Rips Filtrations
Parvaneh Joharinad, Hannaneh Fahimi, Lukas Silvester Barth et al.
Discovering Symmetries of ODEs by Symbolic Regression
Paul Kahlmeyer, Niklas Merk, Joachim Giesen
Equal Merit Does Not Imply Equality: Discrimination at Equilibrium in a Hiring Market with Symmetric Agents
Serafina Kamp, Benjamin Fish
AudioGenX: Explainability on Text-to-Audio Generative Models
Hyunju Kang, Geonhee Han, Yoonjae Jeong et al.
Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap
Nikolai Karpov, Chen Wang
GenPlan: Generative Sequence Models as Adaptive Planners
Akash Karthikeyan, Yash Vardhan Pant
Don’t Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs
Christodoulos Kechris, Jonathan Dan, Jose Miranda et al.
On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs
Kushal Kejriwal, Nikhil Karamchandani, Jayakrishnan Nair
ExPERT: Modeling Human Behavior Under External Stimuli Aware Personalized MTPP
Subhendu Khatuya, Ritvik Vij, Paramita Koley et al.
Learning Structural Causal Models from Ordering: Identifiable Flow Models
Minh Khoa Le, Kien Do, Truyen Tran
T-MDML: Triplet-based Multiple Distance Metric Learning for Multi-Instance Multi-Label Classification with Label Correlation
Dongyeon Kim, Yejin Kan, Gangman Yi
Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning
Junghun Kim, Ka Hyun Park, Hoyoung Yoon et al.
To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation
Jungkyu Kim, Kibok Lee, Taeyoung Park
Diffusion-Based Active Learning for Distributed Client Manifolds
Kwang In Kim
Sample-aware Adaptive Structured Pruning for Large Language Models
Jun Kong, Xinge Ma, Jin Wang et al.
Selective Uncertainty Propagation in Offline RL
Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya et al.
Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks
Lorenz Kummer, Samir Moustafa, Wilfried Gansterer et al.
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
Jiahao Lai, Jiaqi Li, Jian Xu et al.
CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization
Yuanhao Lai, Pengfei Zheng, Chenpeng Ji et al.
De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem
Zhao-Rong Lai, Xiaotian Wu, Liangda Fang et al.
Explainable Neural Networks with Guarantee: A Sparse Estimation Approach
Antoine Ledent, Peng Liu
Kolmogorov-Arnold Networks Still Catastrophically Forget but Differently from MLP
Anton Lee, Heitor Murilo Gomes, Yaqian Zhang et al.
Truncated Gaussian Policy for Debiased Continuous Control
Ganghun Lee, Minji Kim, Minsu Lee et al.
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
Geon Lee, Wenchao Yu, Kijung Shin et al.
HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation
Giwoong Lee, Jiseung Ahn, Jeongyeol Choe
Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement Learning
Jeong Woon Lee, Hyoseok Hwang
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization
Jin-Seop Lee, Noo-ri Kim, Jee-Hyong Lee
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
Junghun Lee, Hyunju Kim, Fanchen Bu et al.
Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms
Junyong Lee, Jeihee Cho, Shiho Kim
CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data Synthesizing
Seungcheol Lee, Moohong Min
Maximizing the Position Embedding for Vision Transformers with Global Average Pooling
Wonjun Lee, Bumsub Ham, Suhyun Kim
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
Shiqi Lei, Kanghoon Lee, Linjing Li et al.
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection
Yutian Lei, Luping Ji, Pei Liu
Towards Trustable SHAP Scores
Olivier Létoffé, Xuanxiang Huang, Joao Marques-Silva
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data
Cheuk Hang Leung, Yiyan Huang, Yijun Li et al.
Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition
Chaohua Li, Enhao Zhang, Chuanxing Geng et al.
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning
Daoyuan Li, Zuyuan Yang, Shengli Xie
Marginal Benefit Driven RL Teacher for Unsupervised Environment Design
Dexun Li, Wenjun Li, Pradeep Varakantham
AIA: Autoregression-Based Injection Attacks Against Text2SQL Models
Deyin Li, Xiang Ling, Changjiang Li et al.
k-HyperEdge Medoids for Clustering Ensemble
Feijiang Li, Jieting Wang, Liuya Zhang et al.
AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors
Hao Li, Fanggao Wan, Yue Su 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.
Learning Causal Transition Matrix for Instance-dependent Label Noise
Jiahui Li, Tai-Wei Chang, Kun Kuang et al.
HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning
Jianfeng Li, Jiawen Zhang, Feng Wang et al.
Modeling All Response Surfaces in One for Conditional Search Spaces
Jiaxing Li, Wei Liu, Chao Xue et al.
Multi-Label Ranking Loss Minimization for Matrix Completion
Jiaxuan Li, Xiaoyan Zhu, Hongrui Wang et al.
An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing
Lei Li, Haochen Yang, Jiacheng Guo et al.
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
Linhao Li, Yongzhang Tan, Siyuan Yang et al.
GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic
Mengxian Li, Qi Wang, Yongjun Xu
Deep Hypergraph Neural Networks with Tight Framelets
Ming Li, Yujie Fang, Yi Wang et al.
On the Power of Convolution-Augmented Transformer
Mingchen Li, Xuechen Zhang, Yixiao Huang et al.
Detecting and Corrupting Convolution-based Unlearnable Examples
Minghui Li, Xianlong Wang, Zhifei Yu et al.
Dynamic Clustering Convolutional Neural Network
Tanzhe Li, Baochang Zhang, Jiayi Lyu et al.
Adaptive Dual Guidance Knowledge Distillation
Tong Li, Long Liu, Kang Liu et al.
Unravelling Causal Genetic Biomarkers of Alzheimer’s Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach
Victor O. K. Li, Yang Han, Jacqueline C. K. Lam
Riemann-based Multi-scale Attention Reasoning Network for Text-3D Retrieval
Wenrui Li, Wei Han, Yandu Chen et al.
Optimizing Quantized Diffusion Models via Distillation with Cross-Timestep Error Correction
Yanxi Li, Chengbin Du
Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery
Yanyi Li, Xi Zhang, Yisi Luo et al.
Community-Centric Graph Unlearning
Yi Li, Shichao Zhang, Guixian Zhang et al.
Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement
Yi Li, Yang Sun, Plamen P Angelov
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model
Yujun Li, Hongyuan Zhang, Yuan Yuan
Calibrated Disambiguation for Partial Multi-label Learning
Zhuoming Li, Yuheng Jia, Mi Yu et al.
Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising
Zikuan Li, Qiaoyun Wu, Jialin Zhang et al.
Metric-Agnostic Continual Learning for Sustainable Group Fairness
Heng Lian, Chen Zhao, Zhong Chen et al.
TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization
Haoyuan Liang, Xinyu Zhang, Shilei Cao et al.
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning
Jianqing Liang, Xinkai Wei, Min Chen et al.
Label Noise Correction via Fuzzy Learning Machine
Jiye Liang, Yixiao Li, Junbiao Cui
Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers.
Zhu Liao, Nour Hezbri, Victor Quétu et al.
Learning Local Neighborhoods of Non-Gaussian Graphical Models
Sarah Liaw, Rebecca Morrison, Youssef Marzouk et al.
Convergence Analysis of Federated Learning Methods Using Backward Error Analysis
Jinwoo Lim, Suhyun Kim, Soo-Mook Moon
Local Causal Discovery Without Causal Sufficiency
Zhaolong Ling, Jiale Yu, Yiwen Zhang et al.
Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience
Ao Liu, Wenshan Li, Tao Li et al.
Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks
Ao Liu, Wenshan Li, Beibei Li et al.
An Enhanced Levenberg--Marquardt Method via Gram Reduction
Chengchang Liu, Luo Luo, John C.S. Lui
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
Chenxi Liu, Qianxiong Xu, Hao Miao et al.
Asymmetric Learning for Spectral Graph Neural Networks
Fangbing Liu, Qing Wang
Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation
Haoran Liu, Youzhi Luo, Tianxiao Li et al.
LiD-FL: Towards List-Decodable Federated Learning
Hong Liu, Liren Shan, Han Bao et al.
Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning
Jiawei Liu, Yuanbo Xu, Shanshan Song et al.
Federated Graph-Level Clustering Network
Jingxin Liu, Jieren Cheng, Renda Han et al.
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
Peiyuan Liu, Hang Guo, Tao Dai et al.
Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning
Shengheng Liu, Tianqi Zhang, Ningning Fu et al.
Probability-Density-aware Semi-supervised Learning
Shuyang Liu, Ruiqiu Zheng, Yunhang Shen et al.
Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily
Siqi Liu, Dongxiao He, Zhizhi Yu et al.
Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback
Xiang Liu, Hau Chan, Minming Li et al.
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images
Yihang Liu, Lianghua He, Ying Wen et al.
Multi-Objective Molecular Design Through Learning Latent Pareto Set
Yiping Liu, Jiahao Yang, Xuanbai Ren et al.
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
Zehao Liu, Mengzhou Gao, Pengfei Jiao
Adversarial Contrastive Graph Augmentation with Counterfactual Regularization
Tao Long, Lei Zhang, Liang Zhang et al.
SLR-MVTC: Smooth Low-Rank Multi-View Tensor Clustering
Zhen Long, Yipeng Liu, Yazhou Ren et al.
FedCross: Intertemporal Federated Learning Under Evolutionary Games
Jianfeng Lu, Ying Zhang, Riheng Jia et al.
Early Concept Drift Detection via Prediction Uncertainty
Pengqian Lu, Jie Lu, Anjin Liu et al.
VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution
Rui Lu, Bihai Zhang, Dan Wang
Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning
Yue Lu, Shizhou Zhang, De Cheng et al.
Adaptive-Grained Label Distribution Learning
Yunan Lu, Weiwei Li, Dun Liu et al.
Collaborative Semantic Consistency Alignment for Blended-Target Domain Adaptation
Yuwu Lu, Xue Hu, Waikeung Wong et al.
Invertible Projection and Conditional Alignment for Multi-Source Blended-Target Domain Adaptation
Yuwu Lu, Haoyu Huang, Waikeung Wong et al.
Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification
Zhiguang Lu, Qianqian Xu, Shilong Bao et al.
Emergence-Inspired Multi-Granularity Causal Learning
Hanwen Luo, Guoxian Yu, Jun Wang et al.
Conformalized Interval Arithmetic with Symmetric Calibration
Rui Luo, Zhixin Zhou
Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading
Xiaoling Luo, Qihao Xu, Huisi Wu et al.
Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear Networks
Bochen Lyu, He Wang, Zheng Wang et al.
Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection
Gengyu Lyu, Bohang Sun, Xiang Deng et al.
TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval
Shuai Lyu, Zijing Tian, Zhonghong Ou et al.
SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM
Xingyu Lyu, Qianqian Xu, Zhiyong Yang et al.
Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning
Hao Ma, Shijie Wang, Zhiqiang Pu et al.
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation
Xinge Ma, Jin Wang, Xuejie Zhang
ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing
Yaohui Ma, Xiaopeng Hong, Shizhou Zhang et al.
RoPaSS: Robust Watermarking for Partial Screen-Shooting Scenarios
Zehua Ma, Han Fang, Xi Yang et al.
Local Causal Discovery for Structural Evidence of Direct Discrimination
Jacqueline Maasch, Kyra Gan, Violet Chen et al.
Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness
Agathe Fernandes Machado, Arthur Charpentier, Ewen Gallic
The Gradient of Algebraic Model Counting
Jaron Maene, Luc De Raedt
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation
Sarthak Kumar Maharana, Baoming Zhang, Yunhui Guo
TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization
Anay Majee, Maria Xenochristou, Wei-Peng Chen
HyperDefender: A Robust Framework for Hyperbolic GNNs
Nikita Malik, Rahul Gupta, Sandeep Kumar
Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach
Hugo Math, Rainer Lienhart, Robin Schön
Eco Search: A No-delay Best-First Search Algorithm for Program Synthesis
Théo Matricon, Nathanaël Fijalkow, Guillaume Lagarde
ID-GMLM: Intelligent Decision-Making with Integrated Graph Models and Large Language Models
Zhenhua Meng, Fanshen Meng, Rongheng Lin et al.
Heterogeneous Multi-Agent Bandits with Parsimonious Hints
Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo et al.
Query-efficient Attack for Black-box Image Inpainting Forensics via Reinforcement Learning
Xianbo Mo, Shunquan Tan, Bin Li et al.
Unlocking the Game: Estimating Games in Möbius Representation for Explanation and High-Order Interaction Detection
Majid Mohammadi, Ilaria Tiddi, Annette Ten Teije
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks
Giorgio Morales, John W. Sheppard
GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering
Mahsa Mozaffari, Hitesh Sapkota, Qi Yu
SLACE: A Monotone and Balance-Sensitive Loss Function for Ordinal Regression
Inbar Nachmani, Bar Genossar, Coral Scharf et al.
Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning
Mohammadreza Nakhaeinezhadfard, Aidan Scannell, Joni Pajarinen
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization
Nobuo Namura, Sho Takemori
Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning
Michal Nauman, Marek Cygan
Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning
Rashmeet Kaur Nayyar, Siddharth Srivastava
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
Anh T Nguyen, Lam Tran, Anh Tong et al.
GLAD: Improving Latent Graph Generative Modeling with Simple Quantization
Van Khoa Nguyen, Yoann Boget, Frantzeska Lavda et al.
ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning
Wenyao Ni, Jiangrong Shen, Qi Xu et al.
Learning Deep Dissipative Dynamics
Yuji Okamoto, Ryosuke Kojima
Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Study Case on BERT-based Language Models
Ana Ozaki, Roberto Confalonieri, Ricardo Guimarães et al.
Learning Set Functions with Implicit Differentiation
Gözde Özcan, Chengzhi Shi, Stratis Ioannidis
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.
Deep Disentangled Metric Learning
Jinhee Park, Jisoo Park, Dagyeong Na et al.
Riemannian Geometric-based Meta Learning
JuneYoung Park, YuMi Lee, Tae-Joon Kim et al.
Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning
Danni Peng, Yuan Wang, Huazhu Fu et al.
Qsco: A Quantum Scoring Module for Open-Set Supervised Anomaly Detection
Yifeng Peng, Xinyi Li, Zhiding Liang et al.
Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm
Thai-Hoang Pham, Yuanlong Wang, Changchang Yin et al.
TinySubNets: An Efficient and Low Capacity Continual Learning Strategy
Marcin Pietron, Kamil Faber, Dominik Żurek et al.
Iterative Counterfactual Data Augmentation
Mitchell Plyler, Min Chi
Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients
Farhad Pourpanah, Mahdiyar Molahasani, Milad Soltany et al.
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression
Ruizhi Pu, Gezheng Xu, Ruiyi Fang et al.
Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data
Zhuang Qi, Lei Meng, Zhaochuan Li et al.
Certified Causal Defense with Generalizable Robustness
Yiran Qiao, Yu Yin, Chen Chen et al.
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning
Zhongjian Qiao, Jiafei Lyu, Kechen Jiao et al.
Scalable One-Pass Incomplete Multi-View Clustering by Aligning Anchors
Yalan Qin, Guorui Feng, Xinpeng Zhang
PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning
Yongchun Qin, Pengfei Fang, Hui Xue
Kernel Learning for Sample Constrained Black-Box Optimization
Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury
Slice-and-Pack: Tailoring Deep Models for Customized Requirements
Ruice Rao, Dingwei Li, Ming Li
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage
Md Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino et al.
The VOROS: Lifting ROC Curves to 3D to Summarize Unbalanced Classifier Performance
Christopher Ratigan, Lenore Cowen
Improving Generalization for AI-Synthesized Voice Detection
Hainan Ren, Li Lin, Chun-Hao Liu et al.
PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System
Hao Ren, Xiao Lan, Rui Tang et al.
Monitoring Primitive Interactions During the Training of DNNs
Jie Ren, Xinhao Zheng, Jiyu Liu et al.
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine
Luis Roque, Vítor Cerqueira, Carlos Soares et al.
TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning
Jiacheng Ruan, Mingye Xie, Jingsheng Gao et al.
FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning
Pramit Saha, Divyanshu Mishra, Felix Wagner et al.
RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability
Vishwesh Sangarya, Jung-Eun Kim
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
Sascha Saralajew, Ashish Rana, Thomas Villmann et al.
Explicit and Implicit Graduated Optimization in Deep Neural Networks
Naoki Sato, Hideaki Iiduka
Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks
Hiroshi Sawada, Kazuo Aoyama, Masaya Notomi
Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints
Davide Scassola, Sebastiano Saccani, Ginevra Carbone et al.
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy
Hyunjin Seo, Kyusung Seo, Joonhyung Park et al.
Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels
Renat Sergazinov, Richard Chen, Cheng Ji et al.
Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm Identification
Yuming Shao, Zhixuan Fang
Boosting Test Performance with Importance Sampling--a Subpopulation Perspective
Hongyu Shen, Zhizhen Zhao
Protecting Model Adaptation from Trojans in the Unlabeled Data
Lijun Sheng, Jian Liang, Ran He et al.
Stop Diverse OOD Attacks: Knowledge Ensemble for Reliable Defense
Zhenbo Shi, Xiaoman Liu, Yuxuan Zhang et al.
Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood
Yuta Shikuri
Replication-proof Bandit Mechanism Design with Bayesian Agents
Suho Shin, Seyed A. Esmaeili, MohammadTaghi Hajiaghayi
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.
Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering
Zhenqiu Shu, Teng Sun, Yunwei Luo et al.
PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures
Shreya Shukla, Nakul Sharma, Manish Gupta et al.
Co-Dream: Collaborative Dream Synthesis over Decentralized Models
Abhishek Singh, Gauri Gupta, Yichuan Shi et al.
MORE: Molecule Pretraining with Multi-Level Pretext Task
Yeongyeong Son, Dasom Noh, Gyoungyoung Heo et al.
Exploring Rationale Learning for Continual Graph Learning
Lei Song, Jiaxing Li, Qinghua Si et al.
Functional Connectomes of Neural Networks
Tananun Songdechakraiwut, Yutong Wu
Behaviour Preference Regression for Offline Reinforcement Learning
Padmanaba Srinivasan, William Knottenbelt
Witty: An Efficient Solver for Computing Minimum-Size Decision Trees
Luca Pascal Staus, Christian Komusiewicz, Frank Sommer et al.