Most Cited AAAI "ddpm inversion" Papers
5,317 papers found • Page 18 of 27
Conference
PDDM: Pseudo Depth Diffusion Model for RGB-PD Semantic Segmentation Based in Complex Indoor Scenes
Xinhua Xu, Hong Liu, Jianbing Wu et al.
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model
Hao Yang, Qianyu Zhou, Haijia Sun et al.
One-Shot Reference-based Structure-Aware Image to Sketch Synthesis
Rui Yang, Honghong Yang, Li Zhao et al.
UAWTrack: Universal 3D Single Object Tracking in Adverse Weather
Yuxiang Yang, Hongjie Gu, Yingqi Deng et al.
UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis
Zemin Yang, Yujing Sun, Xidong Peng et al.
GURecon: Learning Detailed 3D Geometric Uncertainties for Neural Surface Reconstruction
Zesong Yang, Ru Zhang, Jiale Shi et al.
Sequential Joint Dependency Aware Human Pose Estimation with State Space Model
Hanxi Yin, Shaodi You, Jungong Han et al.
ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition
Seungdong Yoa, Seungjun Lee, Hye-Seung Cho et al.
Equirectangular Point Reconstruction for Domain Adaptive Multimodal 3D Object Detection in Adverse Weather Conditions
Jae Hyun Yoon, Jong Won Jung, Seok Bong Yoo
KeyPose: Category-Level 6D Object Pose Estimation with Self-Adaptive Keypoints
Sheng Yu, Di-Hua Zhai, Yuanqing Xia
Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration
Yongzhe Yuan, Yue Wu, Xiaolong Fan et al.
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models
Qian Zeng, Jie Song, Han Zheng et al.
RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition
Jie Zhang, Xun Gong, Zhonglin Sun
Just a Few Glances: Open-Set Visual Perception with Image Prompt Paradigm
Jinrong Zhang, Penghui Wang, Chunxiao Liu et al.
View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection
Qi Zhang, Zhouhang Luo, Tao Yu et al.
Few-Shot Domain Adaptation for Learned Image Compression
Tianyu Zhang, Haotian Zhang, Yuqi Li et al.
SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning
Xu Zhang, Jin Yuan, Hanwang Zhang et al.
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
Yi Zhang, Chun-Wun Cheng, Junyi He et al.
Single-view Image to Novel-view Generation for Hand-Object Interactions
Zhongqun Zhang, Yihua Cheng, Eduardo Pérez-Pellitero et al.
Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection
Youjun Zhao, Jiaying Lin, Rynson W. H. Lau
Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking
Jianwei Zheng, Xiaomin Yao, Guojiang Shen et al.
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement
Nuoyan Zhou, Dawei Zhou, Decheng Liu et al.
Adaptive Prototype Replay for Class Incremental Semantic Segmentation
Guilin Zhu, Dongyue Wu, Changxin Gao et al.
DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields
Xingyu Zhu, Xiapu Luo, Xuetao Wei
Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis
Daniil Averkov, Tatiana Belova, Gregory Emdin et al.
Exploiting Symmetries in MUS Computation
Ignace Bleukx, Hélène Verhaeghe, Bart Bogaerts et al.
Complete Symmetry Breaking for Finite Models
Marek Dančo, Mikoláš Janota, Michael Codish et al.
Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization
Kangkang Deng, Jiang Hu
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management
Yi Feng, Xiao Wang, Tian Xie
DCC: Differentiable Cardinality Constraints for Partial Index Tracking
Wooyeon Jo, Hyunsouk Cho
DiverSAT: A Novel and Effective Local Search Algorithm for Diverse SAT Problem
Jiaxin Liang, Junping Zhou, Minghao Yin
Certifying Bounds Propagation for Integer Multiplication Constraints
Matthew J. McIlree, Ciaran McCreesh
Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems
Jitao Xu, Yaling Wu, Hongbo Li et al.
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping
Bang An, Xun Zhou, Zirui Zhou et al.
CUGF: A Reliable and Fair Recommendation Framework
Nitin Bisht, Xiuwen Gong, Guandong Xu
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods
Zhengxing Cheng, Yuheng Huang, Zhixuan Zhang et al.
GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data
Rui Deng, Ziqi Li, Mingshu Wang
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction
Ke Fei, Xinyue Zhang, Jingjing Li
Spatial-Temporal Heterogenous Graph Contrastive Learning for Microservice Workload Prediction
Mohan Gao, Kexin Xu, Xiaofeng Gao et al.
Multiplex Graph Representation Learning with Homophily and Consistency
Yudi Huang, Ci Nie, Hongqing He et al.
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks
Jia Jinghong, Lei Song, Jiaxing Li et al.
From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs
Iiro Kumpulainen, Sebastian Dalleiger, Jilles Vreeken et al.
Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework
Xun Liang, Zhiying Li, Hongxun Jiang
S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
Tengfei Ma, Yujie Chen, Liang Wang et al.
Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion
Kai Mao, Yiyang Lian, Yangyang Wang et al.
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights
Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi et al.
EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion
Yuchen Sun, Qianqian Xu, Zitai Wang et al.
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting
Peiwang Tang, Weitai Zhang
POI Recommendation via Multi-Objective Adversarial Imitation Learning
Zhenglin Wan, Anjun Gao, Xingrui Yu et al.
M^3EL: A Multi-task Multi-topic Dataset for Multi-modal Entity Linking
Fang Wang, Shenglin Yin, Xiaoying Bai et al.
Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation
Yibo Wang, Yingchun Jian, Wenhao Yang et al.
Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data
Ziang Yan, Xingyu Zhao, Hanqing Ma et al.
Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
Suhee Yoon, Sanghyu Yoon, Ye Seul Sim et al.
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification
Baoming Zhang, MingCai Chen, Jianqing Song et al.
Teacher-guided Edge Discriminator for Personalized Graph Masked Autoencoder
Qiqi Zhang, Chao Li, Zhongying Zhao
Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
Shuyuan Zhao, Wei Chen, Boyan Shi et al.
ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting
Qi Zheng, Zihao Yao, Yaying Zhang
Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection
Zhipeng Zou, Sheng Wan, Guangyu Li et al.
Commitment to Sparse Strategies in Two-Player Games
Salam Afiouni, Jakub Černý, Chun Kai Ling et al.
Strategic Network Creation for Enabling Greedy Routing
Julian Berger, Tobias Friedrich, Pascal Lenzner et al.
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy
Joseph Bills, Christopher Archibald, Diego Blaylock
Adaptive Manipulation for Coalitions in Knockout Tournaments
Juhi Chaudhary, Hendrik Molter, Meirav Zehavi
Eliminating Majority Illusion Is Easy
Jack Dippel, Max Dupré la Tour, April Niu et al.
Reducing Leximin Fairness to Utilitarian Optimization
Eden Hartman, Yonatan Aumann, Avinatan Hassidim et al.
Strategyproof Matching of Roommates and Rooms
Hadi Hosseini, Shivika Narang, Sanjukta Roy
Quickest Detection of Adversarial Attacks Against Correlated Equilibria
Kiarash Kazari, Aris Kanellopoulos, György Dán
Equilibria of the Colonel Blotto Games with Costs
Stanisław Kaźmierowski
Multi-Apartment Rent Division
Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang
Constant-Factor Distortion Mechanisms for k-Committee Election
Haripriya Pulyassary, Chaitanya Swamy
On the Power of Randomization for Obviously Strategy-Proof Mechanisms
Shiri Ron, Daniel Schoepflin
Bayesian Persuasion with Externalities: Exploiting Agent Types
Jonathan Shaki, Jiarui Gan, Sarit Kraus
Replicating Electoral Success
Kiran Tomlinson, Tanvi Namjoshi, Johan Ugander et al.
Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding
Guangyin Bao, Qi Zhang, Zixuan Gong et al.
Confounding-Robust Deferral Policy Learning
Ruijiang Gao, Mingzhang Yin
BrainMAP: Learning Multiple Activation Pathways in Brain Networks
Song Wang, Zhenyu Lei, Zhen Tan et al.
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition
Haoyu Xie, Haoxuan Li, Chunyuan Zheng et al.
Optimal Control Operator Perspective and a Neural Adaptive Spectral Method
Mingquan Feng, Zhijie Chen, Yixin Huang et al.
Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution
Changxin Huang, Yanbin Chang, Junfan Lin et al.
State-Based Disassembly Planning
Chao Lei, Nir Lipovetzky, Krista A. Ehinger
ConDo: Continual Domain Expansion for Absolute Pose Regression
Zijun Li, Zhipeng Cai, Bochun Yang et al.
Temporal Causal Reasoning with (Non-Recursive) Structural Equation Models
Maksim Gladyshev, Natasha Alechina, Mehdi Dastani et al.
An Algebraic Notion of Conditional Independence, and Its Application to Knowledge Representation
Jesse Heyninck
Reasoning About Actual Causes in Nondeterministic Domains
Shakil M. Khan, Yves Lespérance, Maryam Rostamigiv
Scalable Knowledge Refactoring Using Constrained Optimisation
Minghao Liu, David M. Cerna, Filipe Gouveia et al.
Joint Knowledge Editing for Information Enrichment and Probability Promotion
Wenhang Shi, Yiren Chen, Shuqing Bian et al.
Column-Oriented Datalog on the GPU
Yihao Sun, Sidharth Kumar, Thomas Gilray et al.
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning
Rishabh Agrawal, Nathan Dahlin, Rahul Jain et al.
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models
Susmit Agrawal, Deepika Vemuri, Sri Siddarth Chakaravarthy P et al.
On the Robustness of Distributed Machine Learning Against Transfer Attacks
Sebastien Andreina, Pascal Zimmer, Ghassan Karame
When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?
Gautham Govind Anil, Pascal Esser, Debarghya Ghoshdastidar
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
Yunwei Bai, Ying Kiat Tan, Shiming Chen et al.
On the Trainability and Classical Simulability of Learning Matrix Product States Variationally
Afrad Basheer, Yuan Feng, Christopher Ferrie et al.
The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function
Serena Bono, Spandan Madan, Ishaan Grover et al.
Leveraging Constraint Violation Signals for Action Constrained Reinforcement Learning
Janaka Chathuranga Brahmanage, Jiajing Ling, Akshat Kumar
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models
Daewon Chae, June Suk Choi, Jinkyu Kim et al.
Differentiable Adversarial Attacks for Marked Temporal Point Processes
Pritish Chakraborty, Vinayak Gupta, Rahul R et al.
Cross-View Graph Consistency Learning for Invariant Graph Representations
Jie Chen, Hua Mao, Wai Lok Woo et al.
Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent
Jun Chen, Hong Chen, Bin Gu et al.
Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning
Liuqing Chen, Shuhong Xiao, Shixian Ding et al.
SpotDiff: Spatial Gene Expression Imputation Diffusion with Single-Cell RNA Sequencing Data Integration
Tianyi Chen, Yunfei Zhang, Lianxin Xie et al.
Debiased Active Learning with Variational Gradient Rectifier
Weiguo Chen, Changjian Wang, Shijun Li et al.
DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game
Xiaobing Chen, Xiangwei Zhou, Songyang Zhang et al.
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning
Yangkun Chen, Kai Yang, Jian Tao et al.
Attack-inspired Calibration Loss for Calibrating Crack Recognition
Zhuangzhuang Chen, Qiangyu Chen, Jiahao Zhang et al.
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour et al.
Cross-Validated Off-Policy Evaluation
Matej Cief, Branislav Kveton, Michal Kompan
CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation
Aram Davtyan, Sepehr Sameni, Björn Ommer et al.
The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training
Joshua DeOliveira, Walter Gerych, Elke Rundensteiner
Attribute Inference Attacks for Federated Regression Tasks
Francesco Diana, Othmane Marfoq, Chuan Xu et al.
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling
Jinzong Dong, Zhaohui Jiang, Dong Pan et al.
Information-Theoretic Generative Clustering of Documents
Xin Du, Kumiko Tanaka-Ishii
Causal Discovery by Interventions via Integer Programming
Abdelmonem Elrefaey, Rong Pan
OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting
Jianwei Fei, Yunshu Dai, Zhihua Xia et al.
FLUE: Streamlined Uncertainty Estimation for Large Language Models
Shiqi Gao, Tianxiang Gong, Zijie Lin et al.
CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning
Eloy Geenjaar, Lie Lu
Auditing and Enforcing Conditional Fairness via Optimal Transport
Mohsen Ghassemi, Alan Mishler, Niccolo Dalmasso et al.
Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes
Augustin Godinot, Erwan Le Merrer, Camilla Penzo et al.
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks
Tony Gracious, Ambedkar Dukkipati
ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model
Yang Gu, Jian Cao, Hengyu You et al.
GLAM: Global-Local Variation Awareness in Mamba-based World Model
Qian He, Wenqi Liang, Chunhui Hao et al.
Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation
Di Hong, Yueming Wang
Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering
Shizhe Hu, Jiahao Fan, Guoliang Zou et al.
Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology
Xiaolin Hu, Zixuan Gong, Gengze Xu et al.
Adaptive Prompt-Based Semantic Embedding with Inspire Potential of Implicit Knowledge for Cross-Modal Retrieval
Xin Huang, Shilong Wang, Tong Jia et al.
Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset
Yoontae Hwang, Yongjae Lee
Dimension Reduction for Symbolic Regression
Paul Kahlmeyer, Markus Fischer, Joachim Giesen
Equal Merit Does Not Imply Equality: Discrimination at Equilibrium in a Hiring Market with Symmetric Agents
Serafina Kamp, Benjamin Fish
Task-Specific Preconditioner for Cross-Domain Few-Shot Learning
Suhyun Kang, Jungwon Park, Wonseok Lee et al.
Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap
Nikolai Karpov, Chen Wang
Don’t Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs
Christodoulos Kechris, Jonathan Dan, Jose Miranda et al.
Real-Time Calibration Model for Low-Cost Sensor in Fine-Grained Time Series
Seokho Ahn, Hyungjin Kim, Sungbok Shin et al.
Super-Class Guided Transformer for Zero-Shot Attribute Classification
Sehyung Kim, Chanhyeong Yang, Jihwan Park et al.
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning
Tanapol Kosolwattana, Huazheng Wang, Raed Al Kontar et al.
Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows
Liam Anthony Kruse, Alexandros Tzikas, Harrison Delecki et al.
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
Jiahao Lai, Jiaqi Li, Jian Xu et al.
Explainable Neural Networks with Guarantee: A Sparse Estimation Approach
Antoine Ledent, Peng Liu
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
Shiqi Lei, Kanghoon Lee, Linjing Li et al.
MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning
Xing Lei, Xuetao Zhang, Donglin Wang
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data
Cheuk Hang Leung, Yiyan Huang, Yijun Li et al.
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning
Chenglin Li, Guangchun Ruan, Hua Geng
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning
Daoyuan Li, Zuyuan Yang, Shengli Xie
Learning Causal Transition Matrix for Instance-dependent Label Noise
Jiahui Li, Tai-Wei Chang, Kun Kuang et al.
Modeling All Response Surfaces in One for Conditional Search Spaces
Jiaxing Li, Wei Liu, Chao Xue et al.
Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent
Xiang Li, Qiaomin Xie
Unsupervised Region-Based Image Editing of Denoising Diffusion Models
Zixiang Li, Yue Song, Renshuai Tao et al.
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning
Jianqing Liang, Xinkai Wei, Min Chen et al.
An Enhanced Levenberg--Marquardt Method via Gram Reduction
Chengchang Liu, Luo Luo, John C.S. Lui
Uncertainty-Aware Contrastive Learning with Hard Negative Sampling for Code Search Tasks
Han Liu, Jiaqing Zhan, Qin Zhang
Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning
Shengheng Liu, Tianqi Zhang, Ningning Fu et al.
Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration
Zheqi Lv, Keming Ye, Zishu Wei et al.
SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM
Xingyu Lyu, Qianqian Xu, Zhiyong Yang et al.
The Gradient of Algebraic Model Counting
Jaron Maene, Luc De Raedt
The Dynamic Duo of Collaborative Masking and Target for Advanced Masked Autoencoder Learning
Shentong Mo
Support Vector-based Estimation of Multilinear Games for Feature Selection and Explanation
Majid Mohammadi, Ilaria Tiddi, Annette Ten Teije
Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks
Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka et al.
Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal
Shilong Ou, Zhe Xue, Lixiong Qin et al.
SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization
Kwangryeol Park, Seulki Lee
Iterative Counterfactual Data Augmentation
Mitchell Plyler, Min Chi
Advancing Retrosynthesis with Retrieval-Augmented Graph Generation
Anjie Qiao, Zhen Wang, Jiahua Rao et al.
Certified Causal Defense with Generalizable Robustness
Yiran Qiao, Yu Yin, Chen Chen et al.
Fair Federated Survival Analysis
Md Mahmudur Rahman, Sanjay Purushotham
Can Private Machine Learning Be Fair?
Joseph Rance, Filip Svoboda
The VOROS: Lifting ROC Curves to 3D to Summarize Unbalanced Classifier Performance
Christopher Ratigan, Lenore Cowen
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs
Sergio Rozada, Dongsheng Ding, Antonio G. Marques et al.
Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints
Davide Scassola, Sebastiano Saccani, Ginevra Carbone et al.
Know2Vec: A Black-Box Proxy for Neural Network Retrieval
Zhuoyi Shang, Yanwei Liu, Jinxia Liu et al.
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling
Huai-An Su, Jiaxiang Geng, Liang Li et al.
Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities
Chengkun Sun, Jinqian Pan, Zhuoli Jin et al.
BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models
Chengkun Sun, Jinqian Pan, Russell Stevens Terry et al.
Learn How to Query from Unlabeled Data Streams in Federated Learning
Yuchang Sun, Xinran Li, Tao Lin et al.
Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence
Shayan Talaei, Matin Ansaripour, Giorgi Nadiradze et al.
Hybrid Data-Free Knowledge Distillation
Jialiang Tang, Shuo Chen, Chen Gong
A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods
Piotr Tempczyk, Łukasz Garncarek, Dominik Filipiak et al.
Asynchronous Distributed Gaussian Process Regression
Zewen Yang, Xiaobing Dai, Sandra Hirche
Speed Master: Quick or Slow Play to Attack Speaker Recognition
Zhe Ye, Wenjie Zhang, Ying Ren et al.
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting
Tianyi Yin, Jingwei Wang, Yunlong Ma et al.
Treasures in Discarded Weights for LLM Quantization
Hao Yu, Yang Zhou, Bohua Chen et al.
Class Semantic Attribute Perception Guided Zero-Shot Learning
Qin Yue, Junbiao Cui, Jianqing Liang et al.
Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction
Xinlong Zhai, Chunchen Wang, Ruijia Wang et al.
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning
Li Zhang, Chaochao Chen, Zhongxuan Han et al.
Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning
Qiannan Zhang, Shichao Pei, Yuan Fang et al.
Neural Collapse Inspired Knowledge Distillation
Shuoxi Zhang, Zijian Song, Kun He
Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning
Yan Zhang, Guoqiang Wu, Bingzheng Wang et al.
Navigating Towards Fairness with Data Selection
Yixuan Zhang, Zhidong Li, Yang Wang et al.
Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder
Yuhan Zhang, Guoqing Ma, Guangfu Hao et al.
Domain Adaptive Unfolded Graph Neural Networks
Zepeng Zhang, Olga Fink
Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions
Canzhe Zhao, Xiangcheng Zhang, Baoxiang Wang et al.
Supervised Score-Based Modeling by Gradient Boosting
Changyuan Zhao, Hongyang Du, Guangyuan Liu et al.
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates
Puning Zhao, Jiafei Wu, Zhe Liu et al.
Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels
Xin-yang Zhao, Jian Jin, Yang-yang Li et al.
MeRino: Entropy-Driven Design for Generative Language Models on IoT Devices
Youpeng Zhao, Ming Lin, Huadong Tang et al.
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations
Ao Zhou, Bin Liu, Jin Wang et al.
Dynamic Operator Optimization for Efficient Multi-Tenant LoRA Model Serving
Changhai Zhou, Yuhua Zhou, Shiyang Zhang et al.
Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning
Xiaoling Zhou, Ou Wu, Nan Yang
Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL
Yihe Zhou, Yuxuan Zheng, Yue Hu et al.
Single-Loop Federated Actor-Critic across Heterogeneous Environments
Ye Zhu, Xiaowen Gong
Unsupervised Translation of Emergent Communication
Ido Levy, Orr Paradise, Boaz Carmeli et al.
Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach
Johan Peralez, Aurélien Delage, Jacopo Castellini et al.
A Multiagent Path Search Algorithm for Large-Scale Coalition Structure Generation
Redha Taguelmimt, Samir Aknine, Djamila Boukredera et al.
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning
Xu Wan, Chao Yang, Cheng Yang et al.