Most Cited 2025 "transferred adversarial examples" Papers
22,274 papers found • Page 89 of 112
Conference
Skrull: Towards Efficient Long Context Fine-tuning through Dynamic Data Scheduling
Hongtao Xu, Wenting Shen, Yuanxin Wei et al.
Reconstruction and Secrecy under Approximate Distance Queries
Shay Moran, Elizaveta Nesterova
Star with Bilinear Mapping
Zelin Peng, Yu Huang, Zhengqin Xu et al.
TOMCAT: Test-time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning
Xudong Yan, Songhe Feng
DiffE2E: Rethinking End-to-End Driving with a Hybrid Diffusion-Regression-Classification Policy
Rui Zhao, Yuze Fan, Ziguo Chen et al.
Thoughts Are All Over the Place: On the Underthinking of Long Reasoning Models
Yue Wang, Qiuzhi Liu, Jiahao Xu et al.
HOT: Hadamard-based Optimized Training
Seonggon Kim, Juncheol Shin, Seung-taek Woo et al.
Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model
Kotaro Ikeda, Masanori Koyama, Jinzhe Zhang et al.
Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints
Yan Dai, Negin Golrezaei, Patrick Jaillet
Learning-Augmented Algorithms for $k$-median via Online Learning
Anish Hebbar, Rong Ge, Amit Kumar et al.
Bridging the Gap Between Cross-Domain Theory and Practical Application: A Case Study on Molecular Dissolution
Sihan Wang, Wenjie Du, Qing Zhu et al.
Domain Adaptive Hashing Retrieval via VLM Assisted Pseudo-Labeling and Dual Space Adaptation
Jingyao Li, Zhanshan Li, Shuai Lü
MIX: A Multi-view Time-Frequency Interactive Explanation Framework for Time Series Classification
Viet-Hung Tran, Ngoc Phu Doan, Zichi Zhang et al.
CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices
XUCHEN FENG, Siyu Liao
Hamiltonian Neural PDE Solvers through Functional Approximation
Anthony Zhou, Amir Barati Farimani
Pay Attention to Small Weights
chao zhou, Tom Jacobs, Advait Gadhikar et al.
MiNT: Multi-Network Transfer Benchmark for Temporal Graph Learning
Kiarash Shamsi, Tran Gia Bao Ngo, Razieh Shirzadkhani et al.
Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Large Model Enhancement
Qianhan Feng, Wenshuo Li, Tong Lin et al.
Agnostic Active Learning Is Always Better Than Passive Learning
Steve Hanneke
TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability
Tonglong Wei, Yan Lin, Zeyu Zhou et al.
Learning Textual Prompts for Open-World Semi-Supervised Learning
Yuxin Fan, Junbiao Cui, Jiye Liang
AF-UMC: An Alignment-Free Fusion Framework for Unaligned Multi-View Clustering
Bohang Sun, Yuena Lin, Tao Yang et al.
Semi-infinite Nonconvex Constrained Min-Max Optimization
Cody Melcher, Zeinab Alizadeh, Lindsey Hiett et al.
Two Heads are Better than One: Simulating Large Transformers with Small Ones
Hantao Yu, Josh Alman
3DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation
Yangshi Ge, Yiwei Bao, Feng Lu
FlowRefiner: A Robust Traffic Classification Framework against Label Noise
Mingwei Zhan, Ruijie Zhao, Xianwen Deng et al.
Collapsing Taylor Mode Automatic Differentiation
Felix Dangel, Tim Siebert, Marius Zeinhofer et al.
Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction
Yuanpei Gao, Qi Yan, Yan Leng et al.
Training Robust Graph Neural Networks by Modeling Noise Dependencies
Yeonjun In, Kanghoon Yoon, Sukwon Yun et al.
Track3R: Joint Point Map and Trajectory Prior for Spatiotemporal 3D Understanding
Seong Hyeon Park, Jinwoo Shin
Ambient Proteins - Training Diffusion Models on Noisy Structures
Giannis Daras, Jeffrey Ouyang-Zhang, Krithika Ravishankar et al.
Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
Ilias Diakonikolas, Chao Gao, Daniel Kane et al.
The Structure of Relation Decoding Linear Operators in Large Language Models
Miranda Anna Christ, Adrián Csiszárik, Gergely Becsó et al.
Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention
Zhihao Zhan, Jianan Zhao, Zhaocheng Zhu et al.
Once Upon an Input: Reasoning via Per-Instance Program Synthesis
Adam Stein, Neelay Velingker, Mayur Naik et al.
Non-rectangular Robust MDPs with Normed Uncertainty Sets
Navdeep Kumar, Adarsh Gupta, Maxence Mohamed ELFATIHI et al.
Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration
Yiyang Chen, Tianyu Ding, Lei Wang et al.
IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals
Markus Gross, Aya Fahmy, Danit Niwattananan et al.
Animate and Sound an Image
Xihua Wang, Ruihua Song, Chongxuan Li et al.
Bandit Guided Submodular Curriculum for Adaptive Subset Selection
Prateek Chanda, Prayas Agrawal, Saral Sureka et al.
Imitation Learning with Temporal Logic Constraints
Zining Fan, He Zhu
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the Role of Model Complexity
Mouïn Ben Ammar, David Brellmann, Arturo Mendoza et al.
OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects
Mark H. Huang, Lin Geng Foo, Christian Theobalt et al.
MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning
Seong-Hyeon Hwang, Soyoung Choi, Steven Whang
Towards Explainable and Unprecedented Accuracy in Matching Challenging Finger Crease Patterns
Zhenyu Zhou, Chengdong Dong, Ajay Kumar
Caption This, Reason That: VLMs Caught in the Middle
Zihan Weng, Lucas Gomez, Taylor Webb et al.
MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction
Zeyue Zhang, Heng Ping, Peiyu Zhang et al.
Multi-Expert Distributionally Robust Optimization for Out-of-Distribution Generalization
Jinyong Jeong, Hyungu Kahng, Seoung Bum Kim
Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data
Tian Gao, Songtao Lu, Junkyu Lee et al.
Program Synthesis via Test-Time Transduction
Kang-il Lee, Jahyun Koo, Seunghyun Yoon et al.
Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations
Xuyang Zhong, Yixiao Huang, Chen Liu
Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering
Liang Zhang, Justin Lieffers, Adarsh Pyarelal
HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses
Zhichao Deng, Zhikun Liu, Junxue Wang et al.
Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation
Chuandong Liu, Xingxing Weng, Shuguo Jiang et al.
Metric Automata Theory: A Unifying Theory of RNNs
Adam Dankowiakowski, Alessandro Ronca
PINNs with Learnable Quadrature
Sourav Pal, Kamyar Azizzadenesheli, Vikas Singh
Less is More: Efficient Image Vectorization with Adaptive Parameterization
Kaibo Zhao, Liang Bao, Yufei Li et al.
Coreset for Robust Geometric Median: Eliminating Size Dependency on Outliers
Ziyi Fang, Lingxiao Huang, Runkai Yang
Selftok-Zero: Reinforcement Learning for Visual Generation via Discrete and Autoregressive Visual Tokens
Bohan Wang, Mingze Zhou, Zhongqi Yue et al.
Learning-Augmented Facility Location Mechanisms for the Envy Ratio Objective
Haris Aziz, Yuhang Guo, Alexander Lam et al.
Dataset Distillation of 3D Point Clouds via Distribution Matching
Jae-Young Yim, Dongwook Kim, Jae-Young Sim
Aligning Text-to-Image Diffusion Models to Human Preference by Classification
Longquan Dai, Xiaolu Wei, wang he et al.
Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning
Chaoyang Li, Jianyang Qin, Jinhao Cui et al.
PROFIT: A Specialized Optimizer for Deep Fine Tuning
Anirudh Chakravarthy, Shuai Zheng, Xin Huang et al.
DynScene: Scalable Generation of Dynamic Robotic Manipulation Scenes for Embodied AI
Sangmin Lee, Sungyong Park, Heewon Kim
REINFORCE Converges to Optimal Policies with Any Learning Rate
Samuel Robertson, Thang Chu, Bo Dai et al.
VideoGEM: Training-free Action Grounding in Videos
Felix Vogel, Walid Bousselham, Anna Kukleva et al.
Energy Landscape-Aware Vision Transformers: Layerwise Dynamics and Adaptive Task-Specific Training via Hopfield States
Runze Xia, Richard Jiang
Speculate Deep and Accurate: Lossless and Training-Free Acceleration for Offloaded LLMs via Substitute Speculative Decoding
Pei-Shuo Wang, Jian-Jia Chen, Chun-Che Yang et al.
DroneAudioset: An Audio Dataset for Drone-based Search and Rescue
Chitralekha Gupta, Soundarya Ramesh, Praveen Sasikumar et al.
Event-Equalized Dense Video Captioning
Kangyi Wu, Pengna Li, Jingwen Fu et al.
Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
Adriel Sosa Marco, John D. Kirwan, Alexia Toumpa et al.
Causal Discovery over Clusters of Variables in Markovian Systems
Tara Anand, Adèle Ribeiro, Jin Tian et al.
GazeGene: Large-scale Synthetic Gaze Dataset with 3D Eyeball Annotations
Yiwei Bao, Zhiming Wang, Feng Lu
Make Information Diffusion Explainable: LLM-based Causal Framework for Diffusion Prediction
Wenbo Shang, Zihan Feng, Yang Yajun et al.
Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning
Navita Goyal, Hal Daumé III, Alexandre Drouin et al.
LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion
Yuan Guo, Qian Ma, Hui Li et al.
Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs
Mianchu Wang, Giovanni Montana
Feature Information Driven Position Gaussian Distribution Estimation for Tiny Object Detection
Jinghao Bian, Mingtao Feng, Weisheng Dong et al.
PRaDA: Projective Radial Distortion Averaging
Daniil Sinitsyn, Linus Härenstam-Nielsen, Daniel Cremers
MS-Bench: Evaluating LMMs in Ancient Manuscript Study through a Dunhuang Case Study
Yuqing Zhang, Yue Han, Shuanghe Zhu et al.
Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training
Ipsita Ghosh, Ethan Nguyen, Christian Kümmerle
Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings
Evan Markou, Thalaiyasingam Ajanthan, Stephen Gould
Towards precision protein-ligand affinity prediction benchmark: A Complete and Modification-Aware DAVIS Dataset
Ming Hsiu Wu, Ziqian Xie, Shuiwang Ji et al.
Learning to Rank for In-Context Example Retrieval
Yuwen Ji, Luodan Zhang, Ambyer han et al.
Structure from Collision
Takuhiro Kaneko
NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning
Wonje Choi, Jooyoung Kim, Honguk Woo
Density Ratio-Free Doubly Robust Proxy Causal Learning
Bariscan Bozkurt, Houssam Zenati, Dimitri Meunier et al.
Language-Guided Salient Object Ranking
Fang Liu, Yuhao Liu, Ke Xu et al.
Spectral Graph Coarsening Using Inner Product Preservation and the Grassmann Manifold
Ido Cohen, Ronen Talmon
Gaussian Approximation and Concentration of Constant Learning-Rate Stochastic Gradient Descent
Ziyang Wei, Jiaqi Li, Zhipeng Lou et al.
Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point
Hongjie Chen, Jingqiu Ding, Yiding Hua et al.
Data-Adaptive Exposure Thresholds under Network Interference
Vydhourie Thiyageswaran, Tyler H. McCormick, Jennifer Brennan
Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks
Jingyuan Liu, Hao Qiu, Lin Yang et al.
Beyond Generation: A Diffusion-based Low-level Feature Extractor for Detecting AI-generated Images
Nan Zhong, Haoyu Chen, Yiran Xu et al.
S2D-LFE: Sparse-to-Dense Light Field Event Generation
Yutong Liu, Wenming Weng, Yueyi Zhang et al.
Online Two-Stage Submodular Maximization
Iasonas Nikolaou, Miltiadis Stouras, Stratis Ioannidis et al.
Balanced Active Inference
Boyu Chen, Zhixiang Zhou, Liuhua Peng et al.
A Semantic Parsing Framework for End-to-End Time Normalization
Xin Su, Sungduk Yu, Phillip Howard et al.
Wasserstein Transfer Learning
Kaicheng Zhang, Sinian Zhang, Doudou Zhou et al.
Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods
Junhyung Lyle Kim, Brandon Augustino, Dylan Herman et al.
TimeWak: Temporal Chained-Hashing Watermark for Time Series Data
Zhi Wen Soi, Chaoyi Zhu, Fouad Abiad et al.
Marginal-Nonuniform PAC Learnability
Steve Hanneke, Shay Moran, Maximilian Thiessen
Flexible inference for animal learning rules using neural networks
Yuhan Helena Liu, Victor Geadah, Jonathan Pillow
Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
Yeichan Kim, Ilmun Kim, Seyoung Park
MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting
jun huang, Ting Liu, Yihang Wu et al.
Bernstein–von Mises for Adaptively Collected Data
Kevin Du, Yash Nair, Lucas Janson
Unified Transferability Metrics for Time Series Foundation Models
Weiyang Zhang, Xinyang Chen, Xiucheng Li et al.
Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments
Shitong Xu, Yiyuan Yang, Niki Trigoni et al.
A data and task-constrained mechanistic model of the mouse outer retina shows robustness to contrast variations
Kyra Kadhim, Jonas Beck, Ziwei Huang et al.
Learning-Augmented Online Bipartite Fractional Matching
XianJun, Davin Choo, Billy Jin, Yongho Shin
PaZO: Preconditioned Accelerated Zeroth-Order Optimization for Fine-Tuning LLMs
Hanzhen Zhao, Ding Shihong, Cong Fang et al.
Private Geometric Median in Nearly-Linear Time
Syamantak Kumar, Daogao Liu, Kevin Tian et al.
PolarNeXt: Rethink Instance Segmentation with Polar Representation
Jiacheng Sun, Xinghong Zhou, Yiqiang Wu et al.
Private Training Large-scale Models with Efficient DP-SGD
Liangyu Wang, Junxiao Wang, Jie Ren et al.
Sharp Gaussian approximations for Decentralized Federated Learning
SOHAM BONNERJEE, Sayar Karmakar, Wei Biao Wu
WMCopier: Forging Invisible Watermarks on Arbitrary Images
Ziping Dong, Chao Shuai, Zhongjie Ba et al.
Causal Explanation-Guided Learning for Organ Allocation
Alessandro Marchese, Jeroen Berrevoets, Sam Verboven
Generalization Bounds for Model-based Algorithm Configuration
Zhiyang Chen, Hailong Yao, Xia Yin
Label Shift Meets Online Learning: Ensuring Consistent Adaptation with Universal Dynamic Regret
Yucong Dai, Shilin Gu, Ruidong Fan et al.
Unveiling Extraneous Sampling Bias with Data Missing-Not-At-Random
Chunyuan Zheng, Haocheng Yang, Haoxuan Li et al.
ROLL: Robust Noisy Pseudo-label Learning for Multi-View Clustering with Noisy Correspondence
Yuan Sun, Yongxiang Li, Zhenwen Ren et al.
Incremental Sequence Classification with Temporal Consistency
Lucas Maystre, Gabriel Barello, Tudor Berariu et al.
VaporTok: RL-Driven Adaptive Video Tokenizer with Prior & Task Awareness
Minghao Yang, Zechen Bai, Jing Lin et al.
Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go
Yichuan Ma, Linyang Li, Yongkang Chen et al.
FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning
Yunbo Li, Jiaping Gui, Zhihang Deng et al.
Revisiting Glorot Initialization for Long-Range Linear Recurrences
Noga Bar, Mariia Seleznova, Yotam Alexander et al.
Tight Bounds for Answering Adaptively Chosen Concentrated Queries
Emma Rapoport, Edith Cohen, Uri Stemmer
What We Miss Matters: Learning from the Overlooked in Point Cloud Transformers
Yi Wang, Jiaze Wang, Ziyu Guo et al.
RAT: Bridging RNN Efficiency and Attention Accuracy via Chunk-based Sequence Modeling
Xiuying Wei, Anunay Yadav, Razvan Pascanu et al.
Bridging Viewpoint Gaps: Geometric Reasoning Boosts Semantic Correspondence
Qiyang Qian, Hansheng Chen, Masayoshi Tomizuka et al.
Matchings Under Biased and Correlated Evaluations
Amit Kumar, Nisheeth K. Vishnoi
Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond
Kiarash Banihashem, Jeff Giliberti, Samira Goudarzi et al.
Exponential Convergence Guarantees for Iterative Markovian Fitting
Marta Gentiloni Silveri, Giovanni Conforti, Alain Durmus
CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs
Roman Vashurin, Maiya Goloburda, Albina Ilina et al.
Surface-Aware Feed-Forward Quadratic Gaussian for Frame Interpolation with Large Motion
Zaoming Yan, Yaomin Huang, Pengcheng Lei et al.
SHGR: A Generalized Maximal Correlation Coefficient
Samuel Stocksieker, Denys Pommeret
BlockDecoder: Boosting ASR Decoders with Context and Merger Modules
Darshan Prabhu, Preethi Jyothi
Axial Neural Networks for Dimension-Free Foundation Models
Hyunsu Kim, Jonggeon Park, Joan Bruna et al.
Robust Minimax Boosting with Performance Guarantees
Santiago Mazuelas, Veronica Alvarez
Combinatorial Ski Rental Problem: Robust and Learning-Augmented Algorithms
Ziwei Li, Bo Sun, Zhiqiu Zhang et al.
Diversity-oriented Deep Multi-modal Clustering
Wang Yanzheng, Xin Yang, Yujun Wang et al.
Asynchronous Collaborative Graph Representation for Frames and Events
Dianze Li, Jianing Li, Xu Liu et al.
Towards Multiscale Graph-based Protein Learning with Geometric Secondary Structural Motifs
Shih-Hsin Wang, Yuhao Huang, Taos Transue et al.
TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
Yehjin Shin, Jeongwhan Choi, Seojin Kim et al.
OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction
Jie Yan, Jing Liu, Zhong-Yuan Zhang
Quantifying Task-relevant Similarities in Representations Using Decision Variable Correlations
Yu (Eric) Qian, Wilson Geisler, Xue-Xin Wei
Theory-Inspired Deep Multi-View Multi-Label Learning with Incomplete Views and Noisy Labels
Quanjiang Li, Tingjin Luo, Jiahui Liao
Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
Emre Sahinoglu, Youbang Sun, Shahin Shahrampour
Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks
Shakir Yousefi, Andreas Plesner, Till Aczel et al.
ESCA: Contextualizing Embodied Agents via Scene-Graph Generation
Jiani Huang, Amish Sethi, Matthew Kuo et al.
Crucible: Quantifying the Potential of Control Algorithms through LLM Agents
Lianchen Jia, Chaoyang Li, Qian Houde et al.
Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning
Wei Wu, Yuxing Lu, Zhengrui Guo et al.
Videos are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations
Xin Liu, Haoran Li, Dongbin Zhao
A CLT for Polynomial GNNs on Community-Based Graphs
Luciano Vinas, Arash Amini
FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models
Pukang Ye, Luo Junwei, Jiachen Shen et al.
Improving Semi-Supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity
Chen Yi Lu, Kasra Derakhshandeh, Somali Chaterji
TreeGen: A Bayesian Generative Model for Hierarchies
Marcel Kollovieh, Nils Fleischmann, Filippo Guerranti et al.
Class conditional conformal prediction for multiple inputs by p-value aggregation
Jean-Baptiste Fermanian, Mohamed Hebiri, Joseph Salmon
Hierarchical Adaptive Filtering Network for Text Image Specular Highlight Removal
Zhi Jiang, Jingbo Hu, Ling Zhang et al.
Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
Tsai Hor Chan, Feng Wu, Yihang Chen et al.
HERA: Hybrid Explicit Representation for Ultra-Realistic Head Avatars
Hongrui Cai, Yuting Xiao, Xuan Wang et al.
Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets
Zixian Yang, Sushil Varma, Lei Ying
Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces
Alejandro García-Castellanos, David Wessels, Nicky J. van den Berg et al.
Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
Clément Bénard
Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification
Jon Saad-Falcon, Estefany Kelly Buchanan, Mayee Chen et al.
TransferBench: Benchmarking Ensemble-based Black-box Transfer Attacks
Fabio Brau, Maura Pintor, Antonio Cinà et al.
Less is More: Local Intrinsic Dimensions of Contextual Language Models
Benjamin Matthias Ruppik, Julius von Rohrscheidt, Carel van Niekerk et al.
Rethinking Fair Federated Learning from Parameter and Client View
Kaiqi Guan, Wenke Huang, Xianda Guo et al.
LoRO: Real-Time on-Device Secure Inference for LLMs via TEE-Based Low Rank Obfuscation
Gaojian Xiong, Yu Sun, Jianhua Liu et al.
Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems
Hao Liang, shuqing shi, Yudi Zhang et al.
Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization
Mohammad Pedramfar, Christopher Quinn, Vaneet Aggarwal
Convergence of the Gradient Flow for Shallow ReLU Networks on Weakly Interacting Data
Léo Dana, Loucas Pillaud-Vivien, Francis Bach
You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network
Yi Li, Zhichun Guo, Guanpeng Li et al.
Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation
Guoqing Hu, An Zhang, Shuchang Liu et al.
Where Graph Meets Heterogeneity: Multi-View Collaborative Graph Experts
Zhihao Wu, Jinyu Cai, Yunhe Zhang et al.
Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models
Yixiao Wang, Zishan Shao, Ting Jiang et al.
Kuramoto Orientation Diffusion Models
Yue Song, Andy Keller, Sevan Brodjian et al.
Sequence Modeling with Spectral Mean Flows
Jinwoo Kim, Max Beier, Petar Bevanda et al.
C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
Antonios Valkanas, Soumyasundar Pal, Pavel Rumiantsev et al.
Restage4D: Reanimating Deformable 3D Reconstruction from a Single Video
Jixuan He, Chieh Lin, Lu Qi et al.
ForceFM: Enhancing Protein-Ligand Predictions through Force-Guided Flow Matching
HUANLEI GUO, Song LIU, Bingyi Jing
NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data
Haolong Qian, Xianliang Yang, Ling Zhang et al.
UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback
Pengwei Liu, Hangjie Yuan, Bo Dong et al.
DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches
Yun Xing, Yue Cao, Nhat Chung et al.
Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning
Minglu Zhao, Dehong Xu, Deqian Kong et al.
Synergistic Tensor and Pipeline Parallelism
Mengshi Qi, Jiaxuan Peng, Jie Zhang et al.
RayFusion: Ray Fusion Enhanced Collaborative Visual Perception
Shaohong Wang, Lu Bin, Xinyu Xiao et al.
Accelerated Distance-adaptive Methods for Hölder Smooth and Convex Optimization
Yijin Ren, Haifeng Xu, Qi Deng
Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation
Leqi Zheng, Chaokun Wang, Zixin Song et al.
Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration
Wenjun Wu, Lingling Zhang, Bo Zhao et al.
SGSST: Scaling Gaussian Splatting Style Transfer
Bruno Galerne, Jianling WANG, Lara Raad et al.
Unified Medical Lesion Segmentation via Self-referring Indicator
Shijie Chang, Xiaoqi Zhao, Lihe Zhang et al.
Don’t Trade Off Safety: Diffusion Regularization for Constrained Offline RL
Junyu guo, Zhi Zheng, Donghao Ying et al.
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions
Wang Yu-Hang, Junkang Guo, Aolei Liu et al.
Test-Time Spectrum-Aware Latent Steering for Zero-Shot Generalization in Vision-Language Models
Konstantinos Dafnis, Dimitris Metaxas
Joint‑Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self‑Supervised Learning
Hugues Van Assel, Mark Ibrahim, Tommaso Biancalani et al.
On the $O(\frac{\sqrt{d}}{K^{1/4}})$ Convergence Rate of AdamW Measured by $\ell_1$ Norm
Huan Li, Yiming Dong, Zhouchen Lin
Measure-Theoretic Anti-Causal Representation Learning
Arman Behnam, Binghui Wang
CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection
Zhichao Sun, Huazhang Hu, Yidong Ma et al.