Most Cited AAAI "real-time recurrent learning" Papers
5,317 papers found • Page 9 of 27
Conference
Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing
Pengfei Jiang, Mingbao Lin, Fei Chao
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations
Woojin Cho, Seunghyeon Cho, Hyundong Jin et al.
HoneypotNet: Backdoor Attacks Against Model Extraction
Yixu Wang, Tianle Gu, Yan Teng et al.
SigStyle: Signature Style Transfer via Personalized Text-to-Image Models
Ye Wang, Tongyuan Bai, Xuping Xie et al.
Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence
Zixi Chen, Yumin Xu, Ruixun Zhang
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning
Wei Chen, Yi Zhou
SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network
Yuhang He, Zhuangzhuang Dai, Niki Trigoni et al.
TETRIS: Towards Exploring the Robustness of Interactive Segmentation
Andrey Moskalenko, Vlad Shakhuro, Anna Vorontsova et al.
SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing
Chen Chen, Liangjin Zhao, Yuanchun He et al.
Autoregressive Sequence Modeling for 3D Medical Image Representation
Siwen Wang, Churan Wang, Fei Gao et al.
ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection
Tingyi Cai, Yunliang Jiang, Ming Li et al.
Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers
Ruofei Wang, Hongzhan Lin, Ziyuan Luo et al.
PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs
Deividas Eringis, John Leth, Zheng-Hua Tan et al.
Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity
Dmitry Bylinkin, Aleksandr Beznosikov
Efficient Constraint Generation for Stochastic Shortest Path Problems
Johannes Schmalz, Felipe Trevizan
A General Search-Based Framework for Generating Textual Counterfactual Explanations
Daniel Gilo, Shaul Markovitch
MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks
Jingyuan Qi, Minqian Liu, Ying Shen et al.
Research Papers
Xiangci Li, Jessica Ouyang
Efficient Self-Supervised Video Hashing with Selective State Spaces
Jinpeng Wang, Niu Lian, Jun Li et al.
Neural Combinatorial Clustered Bandits for Recommendation Systems
Baran Atalar, Carlee Joe-Wong
Approximating Metric Magnitude of Point Sets
Rayna Andreeva, James Ward, Primoz Skraba et al.
Detection-Based Intermediate Supervision for Visual Question Answering
Yuhang Liu, Daowan Peng, Wei Wei et al.
On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence
Songtuan Lin, Conny Olz, Malte Helmert et al.
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving
Sean Lamont, Michael Norrish, Amir Dezfouli et al.
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization
Jiyoung Kim, Kyuhong Shim, Insu Lee et al.
Fusing Conditional Submodular GAN and Programmatic Weak Supervision
Kumar Shubham, Pranav Sastry, AP Prathosh
Pantypes: Diverse Representatives for Self-Explainable Models
Rune Kjærsgaard, Ahcène Boubekki, Line Clemmensen
High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm
Jian Li, Yong Liu, Weiping Wang
Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding
Zhiqiang Chen, Yang Chen, xiaolong Zou et al.
Exact Inference for Continuous-Time Gaussian Process Dynamics
Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche et al.
FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection
Bo Wang, Zhao Zhang, Suiyi Zhao et al.
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
Naiyu Yin, Tian Gao, Yue Yu et al.
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
Yufan LIAO, Qi Wu, Xing Yan
A Hierarchical Network for Multimodal Document-Level Relation Extraction
Lingxing Kong, Jiuliang Wang, Zheng Ma et al.
ChatterBox: Multimodal Referring and Grounding with Chain-of-Questions
Yunjie Tian, Tianren Ma, Lingxi Xie et al.
A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields
Yiyu Zhuang, Qi Zhang, Xuan Wang et al.
Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images
Hongyu Yan, Yadong Mu
Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
Lirong Wu, Haitao Lin, Yufei Huang et al.
Compressing Streamable Free-Viewpoint Videos to 0.1 MB per Frame
Luyang Tang, Jiayu Yang, Rui Peng et al.
Correcting Large Language Model Behavior via Influence Function
Han Zhang, Zhuo Zhang, Yi Zhang et al.
Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset
Sithu Aung, Min-Cheol Sagong, Junghyun Cho
SoundBrush: Sound as a Brush for Visual Scene Editing
Kim Sung-Bin, Kim Jun-Seong, Junseok Ko et al.
Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial Crowdsourcing
Yafei Li, Wei Chen, Jinxing Yan et al.
Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network
Zida Chen, Ziran Zhang, Haoying Li et al.
Improved Regret Bounds for Online Fair Division with Bandit Learning
Benjamin Schiffer, Shirley Zhang
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
Haneol Kang, Dong-Wan Choi
On the Power of Strategic Corpus Enrichment in Content Creation Games
Haya Nachimovsky, Moshe Tennenholtz
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models
Authors: Jinqian Chen, Jihua Zhu, Qinghai Zheng et al.
BAND: Biomedical Alert News Dataset
Zihao Fu, Meiru Zhang, Zaiqiao Meng et al.
Domain Generalizable Person Search Using Unreal Dataset
Authors: Minyoung Oh, Duhyun Kim, Jae-Young Sim
ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO
Daechul Ahn, Yura Choi, San Kim et al.
Balancing Humans and Machines: A Study on Integration Scale and Its Impact on Collaborative Performance
Rui Zou, Sannyuya Liu, Yawei Luo et al.
Fair Division with Social Impact
Michele Flammini, Gianluigi Greco, Giovanna Varricchio
Exact Algorithms and Lower Bounds for Forming Coalitions of Constrained Maximum Size
Foivos Fioravantes, Harmender Gahlawat, Nikolaos Melissinos
Private Blotto: Viewpoint Competition with Polarized Agents
Kate Donahue, Jon Kleinberg
Neural Networks Perform Sufficient Dimension Reduction
Shuntuo Xu, Zhou Yu
Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation
Jinda Xu, Yuhao Song, Daming Wang et al.
GAS: Generative Activation-Aided Asynchronous Split Federated Learning
Jiarong Yang, Yuan Liu
Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction
Deng Xu, Chao Zhang, Cong Guo et al.
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss
Baoren Xiao, Hao Ni, Weixin Yang
K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach
Linhuang Xie, Shihao Gao, Jie Liu et al.
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates
Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems
Xiangming Wang, Haijin Zeng, Jiaoyang Chen et al.
From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking
Yuhan Zhao, Rui Chen, Li Chen et al.
Hybrid-Driving: An Autonomous Driving Decision Framework Integrating Large Language Models, Knowledge Graphs and Driving Rules
Jiabao Wang, Zepeng Wu, Qian Dong et al.
DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving
K. Hu, Tongbo Cao, Yuan Li et al.
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward
Haoxin Lin, Hongqiu Wu, Jiaji Zhang et al.
ViT-Calibrator: Decision Stream Calibration for Vision Transformer
Lin Chen, Zhijie Jia, Lechao Cheng et al.
HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation
Wentian Qu, Jiahe Li, Jian Cheng et al.
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property
I. Anagnostides, Ioannis Panageas, Gabriele Farina et al.
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling
Haoran Li, Xingjian Li, Jiahua Shi et al.
Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation
Chao Jiang, Miqing Li
Controllable 3D Dance Generation Using Diffusion-Based Transformer U-Net
Puyuan Guo, Tuo Hao, Wenxin Fu et al.
Pre-Assignment Problem for Unique Minimum Vertex Cover on Bounded Clique-Width Graphs
Shinwoo An, Yeonsu Chang, Kyungjin Cho et al.
DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data
Jiaqi Yang, Enming Liang, Zicheng Su et al.
Abstract Action Scheduling for Optimal Temporal Planning via OMT
Stefan Panjkovic, Andrea Micheli
HDformer: A Higher
Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals - Ella Lan
Medical Manifestation-Aware De-Identification
Yuan Tian, Shuo Wang, Guangtao Zhai
Neural Control and Certificate Repair via Runtime Monitoring
Emily Yu, Đorđe Žikelić, Thomas A. Henzinger
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models
Yanming Liu, Xinyue Peng, Yuwei Zhang et al.
Advancing Audio-Based Text Generation with Imbalance Preference Optimization
Zhenghao Zhou, Yongjie Liu, Chen Cao
APIRL: Deep Reinforcement Learning for REST API Fuzzing
Myles Foley, Sergio Maffeis
MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation
Xiaodan Zhang, Yanzhao Shi, Junzhong Ji et al.
Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning
Zhe Wang, Suxue Ma, Kewen Wang et al.
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis
Lin Yuan, Jun Xu, Honghao Gui et al.
Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection
Ziyou Liang, Weifeng Liu, Run Wang et al.
dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen
Cheng Tan, Yijie Zhang, Zhangyang Gao et al.
Targeted Activation Penalties Help CNNs Ignore Spurious Signals
Dekai Zhang, Matt Williams, Francesca Toni
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios
Yuxin Wang, Zunlei Feng, Haofei Zhang et al.
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data
Qian-Wei Wang, Bowen Zhao, Mingyan Zhu et al.
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning
Yujing Wang, Hainan Zhang, Sijia Wen et al.
Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training
Haifan Gong, Yu Lu, Xiang Wan et al.
Efficient Robustness Evaluation via Constraint Relaxation
Chao Pan, Yu Wu, Ke Tang et al.
Multi-Region Text-Driven Manipulation of Diffusion Imagery
Yiming Li, Peng Zhou, Jun Sun et al.
Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing
Ruisi Zhao, Mingming Li, Zheng Yang et al.
Multi-Scale Contrastive Learning for Video Temporal Grounding
Thong Thanh Nguyen, Yi Bin, Xiaobao Wu et al.
Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts
Yunpeng Song, Jiawei Li, Yiheng Bian et al.
Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition
Jielong Tang, Zhenxing Wang, ZiYang Gong et al.
DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer’s Disease
Tingyu Mo, Jacqueline C. K. Lam, Victor O. K. Li et al.
DialogDraw: Image Generation and Editing System Based on Multi-Turn Dialogue
Shichao Ma, Xinfeng Zhang, Zeng Zhao et al.
Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models
Xiyu Liu, Zhengxiao Liu, Naibin Gu et al.
Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening
Ge Meng, Jingjia Huang, Jingyan Tu et al.
LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource Languages
Junchen Li, Qing Yang, Bojian Jiang et al.
Image Regeneration: Evaluating Text-to-Image Model via Generating Identical Image with Multimodal Large Language Models
Chutian Meng, Fan Ma, Jiaxu Miao et al.
Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold Framework
Linfei Li, Lin Zhang, Zhong Wang et al.
Holistic Semantic Representation for Navigational Trajectory Generation
Ji Cao, Tongya Zheng, Qinghong Guo et al.
Unified Graph Neural Networks Pre-training for Multi-domain Graphs
Mingkai Lin, Xiaobin Hong, Wenzhong Li et al.
WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment
Jiefu Ou, Arda Uzunoğlu, Benjamin Van Durme et al.
Adaptive Dataset Quantization
Muquan Li, Dongyang Zhang, Qiang Dong et al.
Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation
Shoutao Guo, Shaolei Zhang, Zhengrui Ma et al.
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation
Songyuan Lei, Xinglong Chang, Zhizhi Yu et al.
BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement
Cunhang Fan, Enrui Liu, Andong Li et al.
Residual Diffusion Deblurring Model for Single Image Defocus Deblurring
Haoxuan Feng, Haohui Zhou, Tian Ye et al.
PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF
Mohsen Gholami, Rabab Ward, Z. Jane Wang
HVIS: A Human-like Vision and Inference System for Human Motion Prediction
Kedi Lyu, Haipeng Chen, Zhenguang Liu et al.
Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context
Harry Hughes, Michael Horton, Xinyu Wei et al.
Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors
Siyuan Chen, Zhuofeng Wang, Zelong Guan et al.
Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation
Paulo Cavalin, Pedro H. Domingues, Claudio Pinhanez
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
Chen Feng, Ziquan Liu, Zhuo Zhi et al.
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams
Brandon Gower-Winter, Georg Krempl, Sergey Dragomiretskiy et al.
Explaining Decisions of Agents in Mixed-Motive Games
Maayan Orner, Oleg Maksimov, Akiva Kleinerman et al.
Symbolic Numeric Planning with Patterns
Matteo Cardellini, E. Giunchiglia, M. Maratea
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
Qile Fan, Penghang Yu, Zhiyi Tan et al.
Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach
S. Rasoul Etesami, R. Srikant
Solving Multiagent Path Finding on Highly Centralized Networks
Foivos Fioravantes, Dušan Knop, Jan Matyáš Křišťan et al.
Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective
Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho et al.
SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection
Xing Liufu, Chaolei Tan, Xiaotong Lin et al.
Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium
Yuma Fujimoto, Kaito Ariu, Kenshi Abe
Semi-IIN: Semi-Supervised Intra-Inter Modal Interaction Learning Network for Multimodal Sentiment Analysis
Jinhao Lin, Yifei Wang, Yanwu Xu et al.
Differentiable Information Enhanced Model-Based Reinforcement Learning
Xiaoyuan Zhang, Xinyan Cai, Bo Liu et al.
DreamUHD: Frequency Enhanced Variational Autoencoder for Ultra-High-Definition Image Restoration
Yidi Liu, Dong Li, Jie Xiao et al.
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution
Songran Bai, Yuheng Ji, Yue Liu et al.
Toward Efficient Data-Free Unlearning
Chenhao Zhang, Shaofei Shen, Weitong Chen et al.
Contrastive Functional Principal Component Analysis
Eric Zhang, Didong Li
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization
Jin Liu, Xiaokang Pan, Junwen Duan et al.
Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval
Yang Liu, Shudong Huang, Deng Xiong et al.
Reducing Divergence in Batch Normalization for Domain Adaptation
Ellen Yi-Ge, Mingjing Wu, Zhenghan Chen
In-Context Policy Adaptation via Cross-Domain Skill Diffusion
Minjong Yoo, Woo Kyung Kim, Honguk Woo
The Impact of Literal Sorting on Cardinality Constraint Encodings
Joseph E. Reeves, João Filipe, Min-Chien Hsu et al.
First-Order Federated Bilevel Learning
Yifan Yang, Peiyao Xiao, Shiqian Ma et al.
Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval
Xingbo Liu, Xuening Zhang, Xiushan Nie et al.
Interacted Object Grounding in Spatio-Temporal Human-Object Interactions
Xiaoyang Liu, Boran Wen, Xinpeng Liu et al.
Zero-Shot Image Captioning with Multi-type Entity Representations
Delong Zeng, Ying Shen, Man Lin et al.
A Complete Algorithm for Optimization Modulo Nonlinear Real Arithmetic
Fuqi Jia, Yuhang Dong, Rui Han et al.
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network
Yuming Zhang, Shouxin Zhang, Peizhe Wang et al.
Quantified Linear and Polynomial Arithmetic Satisfiability via Template-based Skolemization
Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Mehrdad Karrabi et al.
Sequence Accumulation and Beyond: Infinite Context Length on Single GPU and Large Clusters
Weigao Sun, Yongtuo Liu, Xiaqiang Tang et al.
Risk-averse Total-reward MDPs with ERM and EVaR
Xihong Su, Marek Petrik, Julien Grand-Clément
SSLFusion: Scale and Space Aligned Latent Fusion Model for Multimodal 3D Object Detection
Bonan Ding, Jin Xie, Jing Nie et al.
Online and Streaming Algorithms for Constrained k-Submodular Maximization
Fabian Christian Spaeh, Alina Ene, Huy Nguyen
Delay as Payoff in MAB
Ofir Schlisselberg, Ido Cohen, Tal Lancewicki et al.
Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild
Yifeng Huang, Duc Nguyen, Nguyễn Lâm et al.
Batch Normalization Is Blind to the First and Second Derivatives of the Loss
Zhanpeng Zhou, Wen Shen, Huixin Chen et al.
DreamAlign: Dynamic Text-to-3D Optimization with Human Preference Alignment
Gaofeng Liu, Zhiyuan Ma, Tao Fang
DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification
Feifei Qian, Lu Bai, Lixin Cui et al.
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting
Constantin Philippenko, Kevin Scaman, Laurent Massoulié
Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation
Prashansa Panda, Shalabh Bhatnagar
BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings
Lam Ngo, Huong Ha, Jeffrey Chan et al.
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
Minh-Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen et al.
Seg2Box: 3D Object Detection by Point-Wise Semantics Supervision
Maoji Zheng, Ziyu Xu, Qiming Xia et al.
Implicit Relative Labeling-Importance Aware Multi-Label Metric Learning
Jun-Xiang Mao, Yong Rui, Min-Ling Zhang
Multi-concept Model Immunization through Differentiable Model Merging
Amber Yijia Zheng, Raymond A. Yeh
Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning
Ran Ma, Yixiong Zou, Yuhua Li et al.
Scaling Diffusion Mamba with Bidirectional SSMs for Efficient 3D Shape Generation
Shentong Mo
Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach
Guixu Lin, Muyao Niu, Qingtian Zhu et al.
A Scalable and Effective Alternative to Graph Transformers
Kaan Sancak, Zhigang Hua, Jin Fang et al.
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning
Yuchen Liu, Chen Chen, Lingjuan Lyu et al.
Enhancing Multi-View Classification Reliability with Adaptive Rejection
Wei Liu, Yufei Chen, Xiaodong Yue
Hardness of Random Reordered Encodings of Parity for Resolution and CDCL
Leroy Chew, Alexis de Colnet, Friedrich Slivovsky et al.
Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning
Zhiming Li, Junzhe Jiang, Yushi Cao et al.
Neural Conformal Control for Time Series Forecasting
Ruipu Li, Alexander Rodríguez
SVTformer: Spatial-View-Temporal Transformer for Multi-View 3D Human Pose Estimation
Wanruo Zhang, Mengyuan Liu, Hong Liu et al.
Symbolic Neural Ordinary Differential Equations
Xin Li, Chengli Zhao, Xue Zhang et al.
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
Haoyang Li, Li Bai, Qingqing Ye et al.
Semi-supervised Infrared Small Target Detection with Thermodynamic-Inspired Uneven Perturbation and Confidence Adaptation
Mingjin Zhang, Wenteng Shang, Fei Gao et al.
DSRC: Learning Density-Insensitive and Semantic-Aware Collaborative Representation Against Corruptions
Jingyu Zhang, Yilei Wang, Lang Qian et al.
DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech
Yongkang Cheng, Shaoli Huang, Xuelin Chen et al.
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks
Teng Li, Xingjun Ma, Yu-Gang Jiang
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
Junhyeok Kang, Yooju Shin, Jae-Gil Lee
Unsupervised Photometric-Consistent Depth Estimation from Endoscopic Monocular Video
Shijie Li, Weijun Lin, Qingyuan Xiang et al.
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation
Qiyu Kang, Xuhao Li, Kai Zhao et al.
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers
Runqing Jiang, Ye Zhang, Longguang Wang et al.
A Unified Framework for Human-Allied Learning of Probabilistic Circuits
Athresh Karanam, Saurabh Mathur, Sahil Sidheekh et al.
GaitCycFormer: Leveraging Gait Cycles and Transformers for Gait Emotion Recognition.
Qingyang Zeng, Lin Shang
DUSTED: Dual-Attention Enhanced Spatial Transcriptomics Denoiser
Jun Zhu, Yifu Li, Zhenchao Tang et al.
Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability
Hui Zeng, Sanshuai Cui, Biwei Chen et al.
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models
Haocheng Huang, Jiaxin Chen, Jinyang Guo et al.
Structural Entropy Guided Probabilistic Coding
Xiang Huang, Hao Peng, Li Sun et al.
Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation
Weinan He, Zilei Wang, Yixin Zhang
GSDiff: Synthesizing Vector Floorplans via Geometry-enhanced Structural Graph Generation
Sizhe Hu, Wenming Wu, Yuntao Wang et al.
Unravelling Expressive Delegations: Complexity and Normative Analysis
Giannis Tyrovolas, Andrei Constantinescu, Edith Elkind
A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter
Zirun Guo, Xize Cheng, Yangyang Wu et al.
A New Federated Learning Framework Against Gradient Inversion Attacks
Pengxin Guo, Shuang Zeng, Wenhao Chen et al.
A²RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion
Jiawei Li, Hongwei Yu, Jiansheng Chen et al.
Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision
Kangsheng Yin, Quan Liu, Xuelin Shen et al.
Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks
Jia-Li Yin, Weijian Wang, Lyhwa et al.
Deletion-Robust Submodular Maximization with Knapsack Constraints
Shuang Cui, Kai Han, He Huang
Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single Image Denoising
Huaqiu Li, Wang Zhang, Xiaowan Hu et al.
Out-of-Distribution Detection with Prototypical Outlier Proxy
Mingrong Gong, Chaoqi Chen, Qingqiang Sun et al.
Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference
Jorge García-Carrasco, Alejandro Maté, Juan Trujillo