Most Cited 2025 Poster Papers
22,274 papers found • Page 68 of 112
Conference
Risk-Sensitive Variational Actor-Critic: A Model-Based Approach
Alonso Granados, Mohammadreza Ebrahimi, Jason Pacheco
Approximating Optimal Labelings for Temporal Connectivity
Daniele Carnevale, Gianlorenzo D'Angelo, Martin Olsen
See What I Mean? Mobile Eye-Perspective Rendering for Optical See-through Head-mounted Displays
Gerlinde Emsenhuber, Tobias Langlotz, Denis Kalkofen et al.
WarpVision: Using Spatial Curvature to Guide Attention in Virtual Reality
Jérôme Kudnick, Martin Weier, Colin Groth et al.
GLAM: Global-Local Variation Awareness in Mamba-based World Model
Qian He, Wenqi Liang, Chunhui Hao et al.
SAMR: A Spatial-Augmented Mixed Reality Method for Enhancing Vision-Language Models in 3D Scene Understanding
Junjian Lin, WenZhuo Sun, Xiangyu Zhang et al.
R2Det: Exploring Relaxed Rotation Equivariance in 2D Object Detection
Zhiqiang Wu, Yingjie Liu, Hanlin Dong et al.
PersoNo: Personalised Notification Urgency Classifier in Mixed Reality
Jingyao Zheng, Haodi Weng, Xian Wang et al.
3DIS: Depth-Driven Decoupled Image Synthesis for Universal Multi-Instance Generation
Dewei Zhou, Ji Xie, Zongxin Yang et al.
Adaptive Energy Alignment for Accelerating Test-Time Adaptation
Wonjeong Choi, Do-Yeon Kim, Jungwuk Park et al.
Discrete Latent Plans via Semantic Skill Abstractions
Haobin Jiang, Wang, Zongqing Lu
Will You Be Aware? Eye Tracking–Based Modeling of Situational Awareness in Augmented Reality
Zhehan Qu, Tianyi Hu, Christian Fronk et al.
Efficient Causal Decision Making with One-sided Feedback
Jianing Chu, Shu Yang, Wenbin Lu et al.
Behavioral and Symbolic Fillers as Delay Mitigation for Embodied Conversational Agents in Virtual Reality
Denmar Mojan Gonzales, Snehanjali Kalamkar, Sophie Jörg et al.
TRENDy: Temporal Regression of Effective Nonlinear Dynamics
Matthew Ricci, Guy Pelc, Zoe Piran et al.
StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models
Haoxin Yang, Bangzhen Liu, Xuemiao Xu et al.
Visceral Notices and Privacy Mechanisms for Eye Tracking in Augmented Reality
Nissi Otoo, Kailon Blue, G. Nikki Ramirez et al.
MCNC: Manifold-Constrained Reparameterization for Neural Compression
Chayne Thrash, Reed Andreas, Ali Abbasi et al.
Proximal Mapping Loss: Understanding Loss Functions in Crowd Counting & Localization
Wei LIN, Jia Wan, Antoni Chan
Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation
Di Hong, Yueming Wang
Navigation Pixie: Implementation and Empirical Study Toward On-demand Navigation Agents in Commercial Metaverse
Hikari Yanagawa, Yuichi Hiroi, Satomi Tokida et al.
LitForager: Exploring Multimodal Literature Foraging Strategies in Immersive Sensemaking
Haoyang Yang, Elliott H Faa, Weijian Liu et al.
Long-Term Experiences From Working with Extended Reality in the Wild
Verena Biener, Florian Jack Winston, Dieter Schmalstieg et al.
The Batch Complexity of Bandit Pure Exploration
Adrienne Tuynman, Rémy Degenne
Three Mechanisms of Feature Learning in a Linear Network
Yizhou Xu, Liu Ziyin
MyGO: Virtual Reality Locomotion Prediction using Multitask Learning
Zicheng Liu, Ding Ding, Zhuying Li et al.
Revisiting Large-Scale Non-convex Distributionally Robust Optimization
Qi Zhang, Yi Zhou, Simon Khan et al.
Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering
Shizhe Hu, Jiahao Fan, Guoliang Zou et al.
SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs
Mingquan Feng, Yixin Huang, Weixin Liao et al.
Virtual Pass-through: Evaluating 3D Gaussian Splatting as an Alternative to Conventional Video Pass-through in Static Environments
Andy Schleising, Christian Kunert, Tobias Schwandt et al.
Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology
Xiaolin Hu, Zixuan Gong, Gengze Xu et al.
Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters
Roberto Garcia, Jerry Liu, Daniel Sorvisto et al.
When Senses Collide: Investigating Modality Congruence and Interference Between Task and Notification in Augmented Reality
Mehakdeep Kaur, Hyeongil Nam, Ryan Kang et al.
Human-Aligned Image Models Improve Visual Decoding from the Brain
Nona Rajabi, Antonio Ribeiro, Miguel Vasco et al.
Towards Learning High-Precision Least Squares Algorithms with Sequence Models
Jerry Liu, Jessica Grogan, Owen Dugan et al.
LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning
Minyoung Kim, Timothy Hospedales
Improved Diffusion-based Generative Model with Better Adversarial Robustness
Zekun Wang, Mingyang Yi, Shuchen Xue et al.
OpenFLAME: Federated Visual Positioning System to Enable Large-Scale Augmented Reality Applications
Sagar Bharadwaj Kalasibail Seetharam, Harrison Williams, Ainiu Luke Wang et al.
Decoupled Subgraph Federated Learning
Javad Aliakbari, Johan Östman, Alexandre Graell i Amat
Discovering Physics Laws of Dynamical Systems via Invariant Function Learning
Shurui Gui, Xiner Li, Shuiwang Ji
Clique Number Estimation via Differentiable Functions of Adjacency Matrix Permutations
Indradyumna Roy, Eeshaan Jain, Soumen Chakrabarti et al.
How Spatial Ability Affects Response to Gaze-Adaptive Cueing in Mixed Reality Spatial Navigation
Yu Zhao, Bobby Bodenheimer
An Embodied AR Navigation Agent: Integrating BIM with Retrieval-Augmented Generation for Language Guidance
Hsuan-Kung Yang, Tsu-Ching Hsiao, Ryoichiro Oka et al.
Neural networks on Symmetric Spaces of Noncompact Type
Xuan Son Nguyen, Yang, Aymeric Histace
Conservative Contextual Bandits: Beyond Linear Representations
Rohan Deb, Mohammad Ghavamzadeh, Arindam Banerjee
Designing Concise ConvNets with Columnar Stages
Ashish Kumar, Jaesik Park
Adaptive Prompt-Based Semantic Embedding with Inspire Potential of Implicit Knowledge for Cross-Modal Retrieval
Xin Huang, Shilong Wang, Tong Jia et al.
The "Law'' of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities
Yongwei Che, Benjamin Eysenbach
Democratic Training Against Universal Adversarial Perturbations
Bing Sun, Jun Sun, Wei Zhao
DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models
Zeping Min, Xinshang Wang
RESfM: Robust Deep Equivariant Structure from Motion
Fadi Khatib, Yoni Kasten, Dror Moran et al.
Towards Practical Classical Planning Compilations of Numeric Planning
Luigi Bonassi, Francesco Percassi, Enrico Scala
Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset
Yoontae Hwang, Yongjae Lee
Causal Identification for Complex Functional Longitudinal Studies
Andrew Ying
FairTP: A Prolonged Fairness Framework for Traffic Prediction
Jiangnan Xia, Yu Yang, Jiaxing Shen et al.
Associative memory and dead neurons
Vladimir Fanaskov, Ivan Oseledets
Craftium: Bridging Flexibility and Efficiency for Rich 3D Single- and Multi-Agent Environments
Mikel Malagón, Josu Ceberio, Jose A Lozano
Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack
Yukun Chen, Boheng Li, Yu Yuan et al.
Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints
Yuxuan Wu, Ziyu Wang, Bhiksha Raj et al.
SleepSMC: Ubiquitous Sleep Staging via Supervised Multimodal Coordination
Shuo Ma, Yingwei Zhang, Yiqiang Chen et al.
LiveStar: Live Streaming Assistant for Real-World Online Video Understanding
Zhenyu Yang, Kairui Zhang, Yuhang Hu et al.
Debiasing Federated Learning with Correlated Client Participation
Zhenyu Sun, Ziyang Zhang, Zheng Xu et al.
Strong Preferences Affect the Robustness of Preference Models and Value Alignment
Ziwei Xu, Mohan Kankanhalli
SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound
Yunke Ao, Masoud Moghani, Mayank Mittal et al.
MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning
Han Wu, Jie Yin
Entropy-based Activation Function Optimization: A Method on Searching Better Activation Functions
Haoyuan Sun, Zihao Wu, Bo Xia et al.
Incremental Causal Effect for Time to Treatment Initialization
Andrew Ying, Zhichen Zhao, Ronghui Xu
Enhancing Entertainment Translation for Indian Languages Using Adaptive Context, Style and LLMs
Pratik Rakesh Singh, Mohammadi Zaki, Pankaj Wasnik
Complementary Label Learning with Positive Label Guessing and Negative Label Enhancement
Yuhang Li, Zhuying Li, Yuheng Jia
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power
Lijia Yu, Yibo Miao, Yifan Zhu et al.
GlobalTomo: A global dataset for physics-ML seismic wavefield modeling and FWI
Shiqian Li, Zhi Li, Zhancun Mu et al.
Dimension Reduction for Symbolic Regression
Paul Kahlmeyer, Markus Fischer, Joachim Giesen
DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity
Zhen Qin, Zhuqing Liu, Songtao Lu et al.
Equal Merit Does Not Imply Equality: Discrimination at Equilibrium in a Hiring Market with Symmetric Agents
Serafina Kamp, Benjamin Fish
MineAnyBuild: Benchmarking Spatial Planning for Open-world AI Agents
Ziming Wei, Bingqian Lin, Zijian Jiao et al.
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability
Jonggwon Park, Byungmu Yoon, Soobum Kim et al.
FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens
Yiming Zhong, Yumeng Liu, Chuyang Xiao et al.
Task-Specific Preconditioner for Cross-Domain Few-Shot Learning
Suhyun Kang, Jungwon Park, Wonseok Lee et al.
A Robust Method to Discover Causal or Anticausal Relation
Yu Yao, Yang Zhou, Bo Han et al.
ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio–Language Models
Weifei Jin, Yuxin Cao, Junjie Su et al.
Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap
Nikolai Karpov, Chen Wang
Enhancing LLM Watermark Resilience Against Both Scrubbing and Spoofing Attacks
Huanming Shen, Baizhou Huang, Xiaojun Wan
Don’t Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs
Christodoulos Kechris, Jonathan Dan, Jose Miranda et al.
Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon
Tongtong Liang, Dan Qiao, Yu-Xiang Wang et al.
Doubly robust identification of treatment effects from multiple environments
Piersilvio De Bartolomeis, Julia Kostin, Javier Abad et al.
Balanced Ranking with Relative Centrality: A multi-core periphery perspective
Chandra Sekhar Mukherjee, Jiapeng Zhang
Discovering Spoofing Attempts on Language Model Watermarks
Thibaud Gloaguen, Nikola Jovanović, Robin Staab et al.
Residual Kernel Policy Network: Enhancing Stability and Robustness in RKHS-Based Reinforcement Learning
Yixian Zhang, Huaze Tang, Huijing Lin et al.
Hansel: Output Length Controlling Framework for Large Language Models
Seoha Song, Junhyun Lee, Hyeonmok Ko
PT-T2I/V: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Image/Video-Task
Jing Wang, Ao Ma, Jiasong Feng et al.
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models
Shengzhuang Chen, Yikai Liao, Xiaoxiao Sun et al.
LocoVR: Multiuser Indoor Locomotion Dataset in Virtual Reality
Kojiro Takeyama, Yimeng Liu, Misha Sra
Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning
Junsu Kim, Suhyun Kim
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel
Gabriel Thompson, Kai Yue, Chau-Wai Wong et al.
FROC: Building Fair ROC from a Trained Classifier
Avyukta Manjunatha Vummintala, Shantanu Das, Sujit Gujar
Super-Class Guided Transformer for Zero-Shot Attribute Classification
Sehyung Kim, Chanhyeong Yang, Jihwan Park et al.
Near-optimal Active Regression of Single-Index Models
Yi Li, Wai Ming Tai
Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection
Chunlei Li, Yilei Shi, Jingliang Hu et al.
Generalizing Weisfeiler-Lehman Kernels to Subgraphs
Dongkwan Kim, Alice Oh
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning
Tanapol Kosolwattana, Huazheng Wang, Raed Al Kontar et al.
TEMPO: Temporal Multi-scale Autoregressive Generation of Protein Conformational Ensembles
Yaoyao Xu, Di Wang, Zihan Zhou et al.
Last Iterate Convergence of Incremental Methods as a Model of Forgetting
Xufeng Cai, Jelena Diakonikolas
Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows
Liam Anthony Kruse, Alexandros Tzikas, Harrison Delecki et al.
Towards Attributions of Input Variables in a Coalition
Xinhao Zheng, Huiqi Deng, Quanshi Zhang
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
Jiahao Lai, Jiaqi Li, Jian Xu et al.
PairEdit: Learning Semantic Variations for Exemplar-based Image Editing
Haoguang Lu, Jiacheng Chen, Zhenguo Yang et al.
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
Haitian Jiang, Renjie Liu, Zengfeng Huang et al.
Simple Distillation for One-Step Diffusion Models
Huaisheng Zhu, Teng Xiao, Shijie Zhou et al.
Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach
Chenbei Lu, Zaiwei Chen, Tongxin Li et al.
Explainable Neural Networks with Guarantee: A Sparse Estimation Approach
Antoine Ledent, Peng Liu
GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks
Shuhan Song, Ping Li, Ming Dun et al.
Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck
Shuai Zhang, Junfeng Fang, Xuqiang Li et al.
MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions
Pucheng Dang, Di Huang, Dong Li et al.
Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation
Shaonan Wu, Shuai Lu, Yeyun Gong et al.
Robustness Reprogramming for Representation Learning
Zhichao Hou, MohamadAli Torkamani, Hamid Krim et al.
Robust Representation Consistency Model via Contrastive Denoising
jiachen lei, Julius Berner, Jiongxiao Wang et al.
Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving
Yi Huang, Zhan Qu, Lihui Jiang et al.
UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation
Jiyu Guo, Shuo Yang, Yiming Huang et al.
Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Imaging Inverse Problems
Deliang Wei, Peng Chen, Haobo Xu et al.
Sinusoidal Initialization, Time for a New Start
Alberto Fernandez-Hernandez, Jose Mestre, Manuel F. Dolz et al.
Shared-AE: Automatic Identification of Shared Subspaces in High-dimensional Neural and Behavioral Activity
Daiyao Yi, Hao Dong, Michael Higley et al.
Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data
Mengxuan Hu, Zihan Guan, Yi Zeng et al.
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
CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching
Chen Chen, Pengsheng Guo, Liangchen Song et al.
UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge
Chenao Li, Shuo Yan, Enyan Dai
The Hidden Cost of Waiting for Accurate Predictions
Ali Shirali, Ariel Procaccia, Rediet Abebe
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data
Cheuk Hang Leung, Yiyan Huang, Yijun Li et al.
Boosting Methods for Interval-censored Data with Regression and Classification
Yuan Bian, Grace Yi, Wenqing He
Scalable and adaptive prediction bands with kernel sum-of-squares
Louis Allain, Sébastien Da Veiga, Brian Staber
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
Active Test-time Vision-Language Navigation
Heeju Ko, Sung June Kim, Gyeongrok Oh et al.
On Bits and Bandits: Quantifying the Regret-Information Trade-off
Itai Shufaro, Nadav Merlis, Nir Weinberger et al.
Quality Measures for Dynamic Graph Generative Models
Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.
Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective
Wangkai Li, Rui Sun, Zhaoyang Li et al.
Adam Reduces a Unique Form of Sharpness: Theoretical Insights Near the Minimizer Manifold
Xinghan Li, Haodong Wen, Kaifeng Lyu
On the Learnability of Distribution Classes with Adaptive Adversaries
Tosca Lechner, Alex Bie, Gautam Kamath
Learning Causal Transition Matrix for Instance-dependent Label Noise
Jiahui Li, Tai-Wei Chang, Kun Kuang et al.
When Graph Neural Networks Meet Dynamic Mode Decomposition
Dai Shi, Lequan Lin, Andi Han et al.
Modeling All Response Surfaces in One for Conditional Search Spaces
Jiaxing Li, Wei Liu, Chao Xue et al.
Binary Losses for Density Ratio Estimation
Werner Zellinger
Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining
Wonhyeok Choi, Kyumin Hwang, Wei Peng et al.
Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel–Young Losses
Yuzhou Cao, Han Bao, Lei Feng et al.
MP-Mat: A 3D-and-Instance-Aware Human Matting and Editing Framework with Multiplane Representation
Siyi Jiao, Wenzheng Zeng, Yerong Li et al.
Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules
John Vastola, Samuel J Gershman, Kanaka Rajan
Benign Overfitting in Out-of-Distribution Generalization of Linear Models
Shange Tang, Jiayun Wu, Jianqing Fan et al.
CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning
Shaofeng Zhang, Qiang Zhou, Sitong Wu et al.
Separation Power of Equivariant Neural Networks
Marco Pacini, Xiaowen Dong, Bruno Lepri et al.
Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics
Josiah Kratz, Jacob Adamczyk
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
Fanghua Yu, Jinjin Gu, Jinfan Hu et al.
MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization
Chenglong Wang, Yang Gan, Hang Zhou et al.
How Gradient descent balances features: A dynamical analysis for two-layer neural networks
Zhenyu Zhu, Fanghui Liu, Volkan Cevher
PseDet: Revisiting the Power of Pseudo Label in Incremental Object Detection
Qiuchen Wang, Zehui Chen, Chenhongyi Yang et al.
DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks
Saman Forouzandeh, Parham Moradi Dowlatabadi, Mahdi Jalili
Adversarial Attacks on Data Attribution
Xinhe Wang, Pingbang Hu, Junwei Deng et al.
Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation
Weilin Lin, Li Liu, Jianze Li et al.
What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits
Harish Babu Manogaran, M. Maruf, Arka Daw et al.
Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation
Carlos Soto, Matthew Reimherr, Aleksandra Slavkovic et al.
Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent
Xiang Li, Qiaomin Xie
Ranking-aware adapter for text-driven image ordering with CLIP
Wei-Hsiang Yu, Yen-Yu Lin, Ming-Hsuan Yang et al.
Flattening Hierarchies with Policy Bootstrapping
John Zhou, Jonathan Kao
Input Space Mode Connectivity in Deep Neural Networks
Jakub Vrabel, Ori Shem-ur, Yaron Oz et al.
MMPB: It’s Time for Multi-Modal Personalization
Jaeik Kim, Woojin Kim, Woohyeon Park et al.
Non-Stationary Lipschitz Bandits
Nicolas Nguyen, Solenne Gaucher, Claire Vernade
PIED: Physics-Informed Experimental Design for Inverse Problems
Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng et al.
SpEx: A Spectral Approach to Explainable Clustering
Tal Argov, Tal Wagner
Going Beyond Static: Understanding Shifts with Time-Series Attribution
Jiashuo Liu, Nabeel Seedat, Peng Cui et al.
Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer
Ningyuan Zhang, Jie Lu, Keqiuyin Li et al.
Satisficing Regret Minimization in Bandits
Qing Feng, Tianyi Ma, Ruihao Zhu
GALA: Geometry-Aware Local Adaptive Grids for Detailed 3D Generation
Dingdong Yang, Yizhi Wang, Konrad Schindler et al.
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
Samuel Howard, Peter Potaptchik, George Deligiannidis
Spiking Neural Networks Need High-Frequency Information
Yuetong Fang, Deming Zhou, Ziqing Wang et al.
Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport
Siqi Zeng, Sixian Du, Makoto Yamada et al.
Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
Shengyuan Zhang, Ling Yang, Zejian Li et al.
Unsupervised Region-Based Image Editing of Denoising Diffusion Models
Zixiang Li, Yue Song, Renshuai Tao et al.
QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration
HamidReza Imani, Jiaxin Peng, Peiman Mohseni et al.
Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning
Haoxin Lin, Yu-Yan Xu, Yihao Sun et al.
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning
Jianqing Liang, Xinkai Wei, Min Chen et al.
See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model
Pengteng Li, Pinhao Song, Wuyang Li et al.
Blameless Users in a Clean Room: Defining Copyright Protection for Generative Models
Aloni Cohen
Neural Causal Graph for Interpretable and Intervenable Classification
Jiawei Wang, Shaofei Lu, Da Cao et al.
DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization
Yi Zhang, Siwei Wang, Jiyuan Liu et al.
Revisit Micro-batch Clipping: Adaptive Data Pruning via Gradient Manipulation
Lun Wang
Boosting Adversarial Transferability with Spatial Adversarial Alignment
Zhaoyu Chen, HaiJing Guo, Kaixun Jiang et al.
HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell data
Siddharth Viswanath, Hiren Madhu, Dhananjay Bhaskar et al.
Improving Graph Neural Networks by Learning Continuous Edge Directions
Seong Ho Pahng, Sahand Hormoz
Linear Mode Connectivity in Differentiable Tree Ensembles
Ryuichi Kanoh, Mahito Sugiyama
EvA: Erasing Spurious Correlations with Activations
Qiyuan He, Kai Xu, Angela Yao
GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction
Si Chen, Richong Zhang, Xu Zhang
An Enhanced Levenberg--Marquardt Method via Gram Reduction
Chengchang Liu, Luo Luo, John C.S. Lui
Asymptotically exact variational flows via involutive MCMC kernels
Zuheng (David) Xu, Trevor Campbell
Quantum (Inspired) $D^2$-sampling with Applications
Poojan Shah, Ragesh Jaiswal
KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors
Benson Chen, Tomasz Danel, Gabriel Dreiman et al.
Uncertainty-Aware Contrastive Learning with Hard Negative Sampling for Code Search Tasks
Han Liu, Jiaqing Zhan, Qin Zhang
Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers
Daniel Dsouza, Julia Kreutzer, Adrien Morisot et al.
Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator
Wenhao Xu, Xuefeng Gao, Xuedong He
An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints
Jiahui Zhu, Kihyun Yu, Dabeen Lee et al.
InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback
Boyuan Chen, Donghai Hong, Jiaming Ji et al.
Long-tailed Adversarial Training with Self-Distillation
Seungju Cho, Hongsin Lee, Changick Kim