Most Cited NEURIPS "inference speed acceleration" Papers
5,858 papers found • Page 29 of 30
Conference
Backdoor Mitigation via Invertible Pruning Masks
Kealan Dunnett, Reza Arablouei, Volkan Dedeoglu et al.
Anomaly Detection by an Ensemble of Random Pairs of Hyperspheres
Walid Durani, Collin Leiber, Khalid Durani et al.
GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer
Sayan Deb Sarkar, Sinisa Stekovic, Vincent Lepetit et al.
Reaction Prediction via Interaction Modeling of Symmetric Difference Shingle Sets
Runhan Shi, Letian Chen, Gufeng Yu et al.
ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training
Xin Yao, Haiyang Zhao, Yimin Chen et al.
Benchmarking Large Language Models with Integer Sequence Generation Tasks
Daniel O'Malley, Manish Bhattarai, Nishath Ranasinghe et al.
MaxSup: Overcoming Representation Collapse in Label Smoothing
Yuxuan Zhou, Heng Li, Zhi-Qi Cheng et al.
Enhancing Zero-Shot Black-Box Optimization via Pretrained Models with Efficient Population Modeling, Interaction, and Stable Gradient Approximation
Muqi Han, Xiaobin Li, Kai Wu et al.
Understanding the Gain from Data Filtering in Multimodal Contrastive Learning
Divyansh Pareek, Sewoong Oh, Simon Du
REFED: A Subject Real-time Dynamic Labeled EEG-fNIRS Synchronized Recorded Emotion Dataset
Xiaojun Ning, Jing Wang, Zhiyang Feng et al.
Network two-sample test for block models
Chung Kyong Nguen, Arash Amini, OSCAR HERNAN MADRID PADILLA
Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement
Derong Kong, Zhixiong Yang, Shengxi Li et al.
Efficient Bayesian Experiment Design with Equivariant Networks
Conor Igoe, Tejus Gupta, Jeff Schneider
Understanding Data Influence in Reinforcement Finetuning
Haoru Tan, Xiuzhe Wu, Sitong Wu et al.
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
Huikang Su, Dengyun Peng, Zifeng Zhuang et al.
Improve Temporal Reasoning in Multimodal Large Language Models via Video Contrastive Decoding
Daiqing Qi, Dongliang Guo, Hanzhang Yuan et al.
Calibrating Translation Decoding with Quality Estimation on LLMs
Di Wu, Yibin Lei, Christof Monz
How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs
Samet Demir, Zafer Dogan
Distributional Adversarial Attacks and Training in Deep Hedging
Guangyi He, Tobias Sutter, Lukas Gonon
Beyond Average Value Function in Precision Medicine: Maximum Probability-Driven Reinforcement Learning for Survival Analysis
Jianqi Feng, Chengchun Shi, Zhenke Wu et al.
IndEgo: A Dataset of Industrial Scenarios and Collaborative Work for Egocentric Assistants
Vivek Chavan, Yasmina Imgrund, Tung Dao et al.
MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs
Tobias Lorenz, Marta Kwiatkowska, Mario Fritz
SmokeViz: A Large-Scale Satellite Dataset for Wildfire Smoke Detection and Segmentation
Rey Koki, Michael McCabe, Dhruv Kedar et al.
Learning from Interval Targets
Rattana Pukdee, Ziqi Ke, Chirag Gupta
Learning to Clean: Reinforcement Learning for Noisy Label Correction
Marzi Heidari, Hanping Zhang, Yuhong Guo
Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria
Linjian Meng, Youzhi Zhang, Zhenxing Ge et al.
LangHOPS: Language Grounded Hierarchical Open-Vocabulary Part Segmentation
Yang Miao, Jan-Nico Zaech, Xi Wang et al.
Generalization Guarantees for Learning Score-Based Branch-and-Cut Policies in Integer Programming
Hongyu Cheng, Amitabh Basu
CG-SSL: Concept-Guided Self-Supervised Learning
Sara Atito, Josef Kittler, Imran Razzak et al.
Towards Irreversible Attack: Fooling Scene Text Recognition via Multi-Population Coevolution Search
Jingyu Li, Pengwen Dai, Mingqing Zhu et al.
Learning and Planning Multi-Agent Tasks via an MoE-based World Model
Zijie Zhao, Zhongyue Zhao, Kaixuan Xu et al.
Dimensionality Mismatch Between Brains and Artificial Neural Networks
Santiago Galella, Maren Wehrheim, Matthias Kaschube
Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees
Daniel Ovalle, Lorenz Biegler, Ignacio Grossmann et al.
Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning
Jiawei Gu, Yidi Wang, Qingqiang Sun et al.
Meta-learning how to Share Credit among Macro-Actions
Ionel-Alexandru Hosu, Traian Rebedea, Razvan Pascanu
Less is More: an Attention-free Sequence Prediction Modeling for Offline Embodied Learning
Wei Huang, Jianshu Zhang, Leiyu Wang et al.
Collaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithm
Xue-Feng Zhu, Tianyang Xu, Yifan Pan et al.
ProfiX: Improving Profile-Guided Optimization in Compilers with Graph Neural Networks
Huiri Tan, Juyong Jiang, Jiasi Shen
Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in Training
Tony Bonnaire, Raphaël Urfin, Giulio Biroli et al.
LongVPO: From Anchored Cues to Self-Reasoning for Long-Form Video Preference Optimization
Zhenpeng Huang, Jiaqi Li, zihan jia et al.
A Plug-and-Play Query Synthesis Active Learning Framework for Neural PDE Solvers
Zhiyuan Wang, Jinwoo Go, Byung-Jun Yoon et al.
Covariate-moderated Empirical Bayes Matrix Factorization
William Denault, Karl Tayeb, Peter Carbonetto et al.
Extracting task-relevant preserved dynamics from contrastive aligned neural recordings
Yiqi Jiang, Kaiwen Sheng, Yujia Gao et al.
OOD Detection with Relative Angles
Berker Demirel, Marco Fumero, Francesco Locatello
SeerAttention: Self-distilled Attention Gating for Efficient Long-context Prefilling
Yizhao Gao, Zhichen Zeng, DaYou Du et al.
DGH: Dynamic Gaussian Hair
Junying Wang, Yuanlu Xu, Edith Tretschk et al.
Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary
ChuYu Zhou, Tianyu Li, Chenxi Lan et al.
STAR: Efficient Preference-based Reinforcement Learning via Dual Regularization
Fengshuo Bai, Rui Zhao, Hongming Zhang et al.
Fast attention mechanisms: a tale of parallelism
Jingwen Liu, Hantao Yu, Clayton Sanford et al.
Learning Provably Improves the Convergence of Gradient Descent
Qingyu Song, Wei Lin, Hong Xu
LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders
Borna Khodabandeh, Amirabbas Afzali, Amirhossein Afsharrad et al.
AliO: Output Alignment Matters in Long-Term Time Series Forecasting
Kwangryeol Park, Jaeho Kim, Seulki Lee
Aeolus: A Multi-structural Flight Delay Dataset
Lin Xu, Xinyun Yuan, Yuxuan Liang et al.
VisualLens: Personalization through Task-Agnostic Visual History
Wang Bill Zhu, Deqing Fu, Kai Sun et al.
TreeFinder: A US-Scale Benchmark Dataset for Individual Tree Mortality Monitoring Using High-Resolution Aerial Imagery
Zhihao Wang, Cooper Li, Ruichen Wang et al.
Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization
Marius Potfer, Vianney Perchet
The Omni-Expert: A Computationally Efficient Approach to Achieve a Mixture of Experts in a Single Expert Model
Sohini Saha, Mezisashe Ojuba, Leslie Collins et al.
Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era
Feng Lu, Tong Jin, Canming Ye et al.
Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings
Raphaël Pellegrin, Lukas Fesser, Melanie Weber
MuSLR: Multimodal Symbolic Logical Reasoning
Jundong Xu, Hao Fei, Yuhui Zhang et al.
An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation
Uzair Akbar, Niki Kilbertus, Hao Shen et al.
LVLM-Driven Attribute-Aware Modeling for Visible-Infrared Person Re-Identification
Zhiqi Pang, Lingling Zhao, Junjie Wang et al.
Leveraging semantic similarity for experimentation with AI-generated treatments
Lei Shi, David Arbour, Raghavendra Addanki et al.
Estimating Hitting Times Locally at Scale
Themistoklis Haris, Fabian Spaeh, Spyridon Konstantinos Dragazis et al.
No Experts, No Problem: Avoidance Learning from Bad Demonstrations
Huy Hoang, Tien Mai, Pradeep Varakantham
Learning Repetition-Invariant Representations for Polymer Informatics
Yihan Zhu, Gang Liu, Eric Inae et al.
When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery
Dominik Meier, Sujai Hiremath, PROMIT GHOSAL et al.
Fix False Transparency by Noise Guided Splatting
Aly El Hakie, Yiren Lu, Yu Yin et al.
SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series
Qitai Tan, Yiyun Chen, Mo Li et al.
Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning
Yibo Zhao, Yang Zhao, Hongru Du et al.
Let the LLM Stick to Its Strengths: Learning to Route Economical LLM
Yi-Kai Zhang, Shiyin Lu, Qingguo Chen et al.
Graph-based Symbolic Regression with Invariance and Constraint Encoding
Ziyu Xiang, Kenna Ashen, Xiaofeng Qian et al.
Nyström-Accelerated Primal LS-SVMs: Breaking the $O(an^3)$ Complexity Bottleneck for Scalable ODEs Learning
Weikuo Wang, Yue Liao, Huan Luo
Conformal Prediction under Lévy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations
Liviu Aolaritei, Julie Zhu, Oliver Wang et al.
Squared families are useful conjugate priors
Russell Tsuchida, Jiawei Liu, Cheng Soon Ong et al.
Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning
Dravyansh Sharma, Alec Sun
DQVis Dataset: Natural Language to Biomedical Visualization
Devin Lange, Pengwei Sui, Shanghua Gao et al.
Data Selection Matters: Towards Robust Instruction Tuning of Large Multimodal Models
Xu Yang, Chen Liu, Ying Wei
Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
Jayanta Mandi, Marianne Defresne, Senne Berden et al.
Protocols for Verifying Smooth Strategies in Bandits and Games
Miranda Christ, Daniel Reichman, Jonathan Shafer
A Unified Approach to Submodular Maximization Under Noise
Kshipra Bhawalkar, Yang Cai, Zhe Feng et al.
Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
JIPENG LI, Yanning Shen
Stochastic Shortest Path with Sparse Adversarial Costs
Emmeran Johnson, Alberto Rumi, Ciara Pike-Burke et al.
Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning
Idan Attias, Steve Hanneke, Arvind Ramaswami
The Complexity of Finding Local Optima in Contrastive Learning
Jingming Yan, Yiyuan Luo, Vaggos Chatziafratis et al.
Revisiting Consensus Error: A Fine-grained Analysis of Local SGD under Second-order Data Heterogeneity
Kumar Kshitij Patel, Ali Zindari, Sebastian Stich et al.
Learning to Solve Complex Problems via Dataset Decomposition
Wanru Zhao, Lucas Page-Caccia, Zhengyan Shi et al.
Can Diffusion Models Disentangle? A Theoretical Perspective
Liming Wang, Muhammad Jehanzeb Mirza, Yishu Gong et al.
Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data
Shuli Zhang, Hao Zhou, Jiaqi Zheng et al.
Radial Attention: $\mathcal O(n \log n)$ Sparse Attention for Long Video Generation
XINGYANG LI, Muyang Li, Tianle Cai et al.
Energy Loss Functions for Physical Systems
Oumar Kaba, Kusha Sareen, Daniel Levy et al.
Stochastic Principal-Agent Problems: Computing and Learning Optimal History-Dependent Policies
Jiarui Gan, R Majumdar, Debmalya Mandal et al.
Offline imitation learning in $Q^\pi$-realizable MDPs without expert realizability
Antoine Moulin, Gergely Neu, Luca Viano
Accelerated Evolving Set Processes for Local PageRank Computation
Binbin Huang, Luo Luo, Yanghua Xiao et al.
SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation
Claudia Cuttano, Gabriele Trivigno, Giuseppe Averta et al.
FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens
Chao Wang, Yixin Song, Jinhui Ye et al.
Compositional Neural Network Verification via Assume-Guarantee Reasoning
Hai Duong, David Shriver, ThanhVu Nguyen et al.
Generating and Checking DNN Verification Proofs
Hai Duong, ThanhVu Nguyen, Matthew Dwyer
TAPAS: Datasets for Learning the Learning with Errors Problem
Eshika Saxena, Alberto Alfarano, Francois Charton et al.
Dynamic and Chemical Constraints to Enhance the Molecular Masked Graph Autoencoders
Jiahui Zhang, Wenjie Du, Yang Wang
UniTransfer: Video Concept Transfer via Progressive Spatio-Temporal Decomposition
guojun lei, Rong Zhang, Tianhang Liu et al.
Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models
Quntian Fang, Zhen Huang, Zhiliang Tian et al.
Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression
Kyo Kuroki, Yasuyuki Okoshi, Thiem Van Chu et al.
\(\varepsilon\)-Optimally Solving Two-Player Zero-Sum POSGs
Erwan escudie, Matthia Sabatelli, Olivier Buffet et al.
PSBench: a large-scale benchmark for estimating the accuracy of protein complex structural models
Pawan Neupane, Jian Liu, Jianlin Cheng
ReCon-GS: Continuum-Preserved Guassian Streaming for Fast and Compact Reconstruction of Dynamic Scenes
Jiaye Fu, Qiankun Gao, Chengxiang Wen et al.
Orochi: Versatile Biomedical Image Processor
Gaole Dai, Chenghao Zhou, Yu Zhou et al.
Conditional Diffusion Anomaly Modeling on Graphs
Chunyu Wei, Haozhe Lin, Yueguo Chen et al.
Diffusion Federated Dataset
SEOKJU HAHN, Junghye Lee
A$^3$E: Towards Compositional Model Editing
Hongming Piao, Hao Wang, Dapeng Wu et al.
Efficient Adaptive Experimentation with Noncompliance
Miruna Oprescu, Brian Cho, Nathan Kallus
Sketched Adaptive Distributed Deep Learning: A Sharp Convergence Analysis
Zhijie Chen, Qiaobo Li, Arindam Banerjee
Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
Liwei Huang, Zhengyu Ma, Liutao Yu et al.
CheMixHub: Datasets and Benchmarks for Chemical Mixture Property Prediction
Ella Miray Rajaonson, Mahyar Rajabi Kochi, Luis Martin Mejia Mendoza et al.
A faster training algorithm for regression trees with linear leaves, and an analysis of its complexity
Kuat Gazizov, Miguel A. Carreira-Perpinan
Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation
Yangtao Zhou, Hua Chu, chen et al.
Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions
Yanna Ding, Songtao Lu, Yingdong Lu et al.
PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series in Typhoon Forecasting
Haobo Li, Eunseo Jung, Zixin CHEN et al.
$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
Weilun Feng, Haotong Qin, Chuanguang Yang et al.
D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images
shurong yang, Dong Wei, Yihuang Hu et al.
Generalizing Experience for Language Agents with Hierarchical MetaFlows
Shengda Fan, Xin Cong, Zhong Zhang et al.
Stratify or Die: Rethinking Data Splits in Image Segmentation
Naga Venkata Sai Jitin Jami, Thomas Altstidl, Jonas Mueller et al.
mmWalk: Towards Multi-modal Multi-view Walking Assistance
Kedi Ying, Ruiping Liu, Chongyan Chen et al.
Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks
Jieyuan (Eric) Zhang, Xiaolong Zhou, Shuai Wang et al.
Partition to Evolve: Niching-enhanced Evolution with LLMs for Automated Algorithm Discovery
Qinglong Hu, Qingfu Zhang
Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport
Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard et al.
Are Language Models Efficient Reasoners? A Perspective from Logic Programming
Andreas Opedal, Yanick Zengaffinen, Haruki Shirakami et al.
TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding
Shukai Gong, YIYANG FU, Fengyuan Ran et al.
Enhancing Graph Classification Robustness with Singular Pooling
Sofiane Ennadir, Oleg Smirnov, Yassine ABBAHADDOU et al.
MolVision: Molecular Property Prediction with Vision Language Models
Deepan Adak, Yogesh Rawat, Shruti Vyas
Monoculture or Multiplicity: Which Is It?
Mila Gorecki, Moritz Hardt
A Principled Path to Fitted Distributional Evaluation
Sungee Hong, Jiayi Wang, Zhengling Qi et al.
Deep Learning with Plausible Deniability
Wenxuan Bao, Shan Jin, Hadi Abdullah et al.
Merlin L48 Spectrogram Dataset
Aaron Sun, Subhransu Maji, Grant Van Horn
Boundary-Value PDEs Meet Higher-Order Differential Topology-aware GNNs
Yunfeng Liao, Yangxin Wu, Xiucheng Li
Interpreting Arithmetic Reasoning in Large Language Models using Game-Theoretic Interactions
蕾蕾 温, Liwei Zheng, Hongda Li et al.
Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets
Ji Xia, Yizi Zhang, Shuqi Wang et al.
Principled Data Augmentation for Learning to Solve Quadratic Programming Problems
Chendi Qian, Christopher Morris
Semi-Supervised Regression with Heteroscedastic Pseudo-Labels
Xueqing Sun, Renzhen Wang, Quanziang Wang et al.
Achieving $\tilde{\mathcal{O}}(1/N)$ Optimality Gap in Restless Bandits through Gaussian Approximation
Chen YAN, Weina Wang, Lei Ying
Reverse Engineering Human Preferences with Reinforcement Learning
Lisa Alazraki, Yi-Chern Tan, Jon Ander Campos et al.
Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning
Dechen Zhang, Zhenmei Shi, Zhang et al.
Personalized Federated Conformal Prediction with Localization
Yinjie Min, Chuchen Zhang, Liuhua Peng et al.
Imagine Beyond ! Distributionally Robust Autoencoding for State Space Coverage in Online Reinforcement Learning
Nicolas Castanet, Olivier Sigaud, Sylvain Lamprier
ELDET: Early-Learning Distillation with Noisy Labels for Object Detection
Dongmin Choi, Sangbin Lee, EungGu Yun et al.
Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction
KunHo Heo, GiHyun Kim, SuYeon Kim et al.
OrdShap: Feature Position Importance for Sequential Black-Box Models
Davin Hill, Brian Hill, Aria Masoomi et al.
PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
Pengyun Yue, Xuanlin Yang, Mingqing Xiao et al.
One Head to Rule Them All: Amplifying LVLM Safety through a Single Critical Attention Head
Junhao Xia, Haotian Zhu, Shuchao Pang et al.
ProteinConformers: Benchmark Dataset for Simulating Protein Conformational Landscape Diversity and Plausibility
Yihang Zhou, Chen Wei, Minghao Sun et al.
$\mathcal{X}^2$-DFD: A framework for e$\mathcal{X}$plainable and e$\mathcal{X}$tendable Deepfake Detection
Yize Chen, Zhiyuan Yan, Guangliang Cheng et al.
Quadratic Coreset Selection: Certifying and Reconciling Sequence and Token Mining for Efficient Instruction Tuning
Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai et al.
A Bayesian Fast-Slow Framework to Mitigate Interference in Non-Stationary Reinforcement Learning
Yihuan Mao, Chongjie Zhang
Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
Alper KALLE, Théo Rudkiewicz, Mohamed Ouerfelli et al.
Preserving Task-Relevant Information Under Linear Concept Removal
Floris Holstege, Shauli Ravfogel, Bram Wouters
Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation
Xin Ma, Yifan Wang, Siyu Yi et al.
Pre-trained Large Language Models Learn to Predict Hidden Markov Models In-context
Yijia Dai, Zhaolin Gao, Yahya Sattar et al.
ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data
Yifeng Jiao, Yuchen Liu, Yu Zhang et al.
Dynamic Gaussian Splatting from Defocused and Motion-blurred Monocular Videos
Xuankai Zhang, Junjin Xiao, Qing Zhang
From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language Models
Weitong Zhang, Chengqi Zang, Bernhard Kainz
CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing
Leonie Bossemeyer, Samuel Heinrich, Grant Van Horn et al.
Isotropic Noise in Stochastic and Quantum Convex Optimization
Annie Marsden, Liam O'Carroll, Aaron Sidford et al.
Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds
Vahan Arsenyan, Elen Vardanyan, Arnak Dalalyan
Neural Green’s Functions
Seungwoo Yoo, Kyeongmin Yeo, Jisung Hwang et al.
EuroSpeech: A Multilingual Speech Corpus
Samuel Pfisterer, Florian Grötschla, Luca Lanzendörfer et al.
Interactive Anomaly Detection for Articulated Objects via Motion Anticipation
Ankan Bhunia, Changjian Li, Hakan Bilen
Improving Formal Reasoning of Transformer with State Stack
Kechi Zhang, Ge Li, Jia Li et al.
Point-MaDi: Masked Autoencoding with Diffusion for Point Cloud Pre-training
Xiaoyang Xiao, Runzhao Yao, Zhiqiang Tian et al.
NeuSymEA: Neuro-symbolic Entity Alignment via Variational Inference
Shengyuan Chen, Zheng Yuan, Qinggang Zhang et al.
Ultrametric Cluster Hierarchies: I Want ‘em All!
Andrew Draganov, Pascal Weber, Rasmus Jørgensen et al.
Analyzing the Power of Chain of Thought through Memorization Capabilities
Lijia Yu, Xiao-Shan Gao, Lijun Zhang
Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial Optimization
Yang Li, Lvda Chen, Haonan Wang et al.
FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA
Songqi Zhou, Zeyuan Liu, Benben Jiang
Soft Task-Aware Routing of Experts for Equivariant Representation Learning
Jaebyeong Jeon, Hyunseo Jang, Jy-yong Sohn et al.
Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals
Qinsi Wang, Jinghan Ke, Hancheng Ye et al.
ASDSV: Multimodal Generation Made Efficient with Approximate Speculative Diffusion and Speculative Verification
Kaijun Zhou, Xingyu Yan, Xingda Wei et al.
Teaching Transformers to Solve Combinatorial Problems through Efficient Trial & Error
Panagiotis Giannoulis, Yorgos Pantis, Christos Tzamos
Learning Crossmodal Interaction Patterns via Attributed Bipartite Graphs for Single-Cell Omics
Xiaotang Wang, Xuanwei Lin, Yun Zhu et al.
Corrector Sampling in Language Models
Itai Gat, Neta Shaul, Uriel Singer et al.
Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions
Tobias Schmidt, Steffen Schneider, Matthias Bethge
SHF: Symmetrical Hierarchical Forest with Pretrained Vision Transformer Encoder for High-Resolution Medical Segmentation
Enzhi Zhang, Peng Chen, Rui Zhong et al.
T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints
Thomas Eiter, Katsumi Inoue, Nelson Higuera et al.
Emerging Risks from Embodied AI Require Urgent Policy Action
Jared Perlo, Alexander Robey, Fazl Barez et al.
Deep Gaussian from Motion: Exploring 3D Geometric Foundation Models for Gaussian Splatting
Yu Chen, Rolandos Alexandros Potamias, Evangelos Ververas et al.
Towards Reliable and Holistic Visual In-Context Learning Prompt Selection
Wenxiao Wu, Jing-Hao Xue, Chengming Xu et al.
Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning
Guancheng Wan, Xu Cheng, Run Liu et al.
K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling
Yongrui Chen, Yi Huang, Yunchang Liu et al.
FracFace: Breaking The Visual Clues—Fractal-Based Privacy-Preserving Face Recognition
Wanying Dai, Beibei Li, Naipeng Dong et al.
Knot So Simple: A Minimalistic Environment for Spatial Reasoning
Zizhao Chen, Yoav Artzi
TreeSplat: Mergeable Tree for Deformable Gaussian Splatting
Qiuhong Shen, Xingyi Yang, Xinchao Wang
GUIDED: Granular Understanding via Identification, Detection, and Discrimination for Fine-Grained Open-Vocabulary Object Detection
Jiaming Li, Zhijia Liang, Weikai Chen et al.
Gains: Fine-grained Federated Domain Adaptation in Open Set
Zhengyi Zhong, Wenzheng Jiang, Weidong Bao et al.
OSTAR: Optimized Statistical Text-classifier with Adversarial Resistance
Yuhan Yao, Feifei Kou, Lei Shi et al.
FRBNet: Revisiting Low-Light Vision through Frequency-Domain Radial Basis Network
Fangtong Sun, Congyu Li, Ke Yang et al.
Point4Bit: Post Training 4-bit Quantization for Point Cloud 3D Detection
Jianyu Wang, Yu Wang, Shengjie Zhao et al.
Scalable inference of functional neural connectivity at submillisecond timescales
Arina Medvedeva, Edoardo Balzani, Alex Williams et al.
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
Muquan Yu, Mu Nan, Hossein Adeli et al.
Optimal Best Arm Identification under Differential Privacy
Marc Jourdan, Achraf Azize
Hybrid Re-matching for Continual Learning with Parameter-Efficient Tuning
Weicheng Wang, Guoli Jia, Xialei Liu et al.
Zero-shot World Models via Search in Memory
Federico Malato, Ville Hautamäki