Most Cited NEURIPS "minimum norm point" Papers
5,858 papers found • Page 20 of 30
Conference
Scaling and context steer LLMs along the same computational path as the human brain
Joséphine Raugel, Jérémy Rapin, Stéphane d'Ascoli et al.
ST$^2$360D: Spatial-to-Temporal Consistency for Training-free 360 Monocular Depth Estimation
Zidong Cao, Jinjing Zhu, Hao Ai et al.
PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching
WANG Yun, Qiaole Dong, Yongjian Zhang et al.
Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions
Weixin An, Yuanyuan Liu, Fanhua Shang et al.
TokenSwap: A Lightweight Method to Disrupt Memorized Sequences in LLMs
Parjanya Prashant, Kaustubh Ponkshe, Babak Salimi
Does Stochastic Gradient really succeed for bandits?
Dorian Baudry, Emmeran Johnson, Simon Vary et al.
Toward Interpretable Evaluation Measures for Time Series Segmentation
Félix Chavelli, Paul Boniol, Michaël Thomazo
MEIcoder: Decoding Visual Stimuli from Neural Activity by Leveraging Most Exciting Inputs
Jan Sobotka, Luca Baroni, Ján Antolík
Flash Invariant Point Attention
Andrew Liu, Axel Elaldi, Nicholas Franklin et al.
The World Is Bigger: A Computationally-Embedded Perspective on the Big World Hypothesis
Alex Lewandowski, Aditya Ramesh, Edan Meyer et al.
MeCeFO: Enhancing LLM Training Robustness via Fault-Tolerant Optimization
Rizhen Hu, Yutong He, Ran Yan et al.
Coupling Generative Modeling and an Autoencoder with the Causal Bridge
Ruolin Meng, Ming-Yu Chung, Dhanajit Brahma et al.
Deployment Efficient Reward-Free Exploration with Linear Function Approximation
Zihan Zhang, Yuxin Chen, Jason Lee et al.
Right for the Right Reasons: Avoiding Reasoning Shortcuts via Prototypical Neurosymbolic AI
Luca Andolfi, Eleonora Giunchiglia
Tapered Off-Policy REINFORCE - Stable and efficient reinforcement learning for large language models
Nicolas Le Roux, Marc Bellemare, Jonathan Lebensold et al.
Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations
Yujie Zhu, Charles Hepburn, Matthew Thorpe et al.
Boosting Resilience of Large Language Models through Causality-Driven Robust Optimization
Xiaoling Zhou, Mingjie Zhang, Zhemg Lee et al.
Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal Resolution
Jacob Lin, Edward Gryspeerdt, Ronald Clark
Dimensional Collapse in VQVAEs: Evidence and Remedies
Jiayou Zhang, Yifan Shen, Guangyi Chen et al.
Tracking and Understanding Object Transformations
Yihong Sun, Xinyu Yang, Jennifer Sun et al.
Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks
Florian Hölzl, Daniel Rueckert, Georgios Kaissis
Leveraging Conditional Dependence for Efficient World Model Denoising
Shaowei Zhang, Jiahan Cao, Dian Cheng et al.
CamEdit: Continuous Camera Parameter Control for Photorealistic Image Editing
Xinran Qin, Zhixin Wang, Fan Li et al.
Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection
Xiaotian Qiao, Ke Xu, Xianglong Yang et al.
WearVQA: A Visual Question Answering Benchmark for Wearables in Egocentric Authentic Real-world scenarios
Eun Chang, Zhuangqun Huang, Yiwei Liao et al.
Adaptive Cannistraci-Hebb Network Automata Modelling of Complex Networks for Path-based Link Prediction
Jialin Zhao, Alessandro Muscoloni, Umberto Michieli et al.
Robustly Learning Monotone Single-Index Models
Puqian Wang, Nikos Zarifis, Ilias Diakonikolas et al.
CLEAR: Command Level Annotated Dataset for Ransomware Detection
Barak Bringoltz, Elisha Halperin, Ran Feraru et al.
Distributed mediation analysis with communication efficiency
Shaomin Li
Revitalizing SVD for Global Covariance Pooling: Halley’s Method to Overcome Over-Flattening
Jiawei Gu, Ziyue Qiao, Xinming Li et al.
Selective Omniprediction and Fair Abstention
Sílvia Casacuberta, Varun Kanade
On Learning Verifiers and Implications to Chain-of-Thought Reasoning
Maria-Florina Balcan, Avrim Blum, Zhiyuan Li et al.
Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing
Adel Javanmard, Rudrajit Das, Alessandro Epasto et al.
Optimal Regret of Bandits under Differential Privacy
Achraf Azize, Yulian Wu, Junya Honda et al.
Structured Initialization for Vision Transformers
Jianqiao Zheng, Xueqian Li, Hemanth Saratchandran et al.
STAR: Spatial-Temporal Tracklet Matching for Multi-Object Tracking
Xuewei Bai, Yongcai Wang, Deying Li et al.
Functional data analysis for multivariate distributions through Wasserstein slicing
Han Chen, Hans-Georg Müller
BrainFlow: A Holistic Pathway of Dynamic Neural System on Manifold
Zhixuan Zhou, Tingting Dan, Guorong Wu
Removing Concepts from Text-to-Image Models with Only Negative Samples
Hanwen Liu, Yadong Mu
Class-aware Domain Knowledge Fusion and Fission for Continual Test-Time Adaptation
Jiahuan Zhou, Chao Zhu, Zhenyu Cui et al.
On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness
Arnav Mehra, Alexandros Psomas
SGCD: Stain-Guided CycleDiffusion for Unsupervised Domain Adaptation of Histopathology Image Classification
Hsi-Ling Chen, Chun-Shien Lu, Pau-Choo Chung
MisoDICE: Multi-Agent Imitation from Mixed-Quality Demonstrations
The Viet Bui, Tien Mai, Thanh Nguyen
Consistency of the $k_n$-nearest neighbor rule under adaptive sampling
Robi Bhattacharjee, Geelon So, Sanjoy Dasgupta
Joint Modeling of fMRI and EEG Imaging Using Ordinary Differential Equation-Based Hypergraph Neural Networks
Yan Zhang, Yang Gao, Min Li
Automatic Auxiliary Task Selection and Adaptive Weighting Boost Molecular Property Prediction
Zhiqiang Zhong, Davide Mottin
Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering
Tianxiang Zhao, Youqing Wang, Jinlu Wang et al.
AutoHood3D: A Multi‑Modal Benchmark for Automotive Hood Design and Fluid–Structure Interaction
Vansh Sharma, Harish Ganesh, Maryam Akram et al.
Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation
Wenbin An, Jiahao Nie, Feng Tian et al.
Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models
Byeonghu Na, Mina Kang, Jiseok Kwak et al.
Think before Recommendation: Autonomous Reasoning-enhanced Recommender
Xiaoyu Kong, Junguang Jiang, Bin Liu et al.
FAST: Foreground‑aware Diffusion with Accelerated Sampling Trajectory for Segmentation‑oriented Anomaly Synthesis
xichen xu, Yanshu Wang, Jinbao Wang et al.
RrED: Black-box Unsupervised Domain Adaptation via Rectifying-reasoning Errors of Diffusion
Yuwu Lu, Chunzhi Liu
Normalizing Flows are Capable Models for Continuous Control
Raj Ghugare, Benjamin Eysenbach
Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation
Jing Wang, Wonho Bae, Jiahong Chen et al.
Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
Ferdinand Genans, Antoine Godichon-Baggioni, François-Xavier Vialard et al.
QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks
Qian Chen, Linxin Yang, Akang Wang et al.
Transferring Causal Effects using Proxies
Manuel Iglesias-Alonso, Felix Schur, Julius von Kügelgen et al.
3D Gaussian Splatting based Scene-independent Relocalization with Unidirectional and Bidirectional Feature Fusion
Junyi Wang, Yuze Wang, Wantong Duan et al.
CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning
Yifei Zhang, Hao Zhu, Junhao Dong et al.
Non-Uniform Multiclass Learning with Bandit Feedback
Steve Hanneke, Amirreza Shaeiri, Hongao Wang
Split conformal classification with unsupervised calibration
Santiago Mazuelas
Adaptively Coordinating with Novel Partners via Learned Latent Strategies
Benjamin Li, Shuyang Shi, Lucia Romero et al.
CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection
Zhichao Sun, Huazhang Hu, Yidong Ma et al.
Let Brain Rhythm Shape Machine Intelligence for Connecting Dots on Graphs
Jiaqi Ding, Tingting Dan, Zhixuan Zhou et al.
Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL
Xingyu Chen, Shihao Ma, Runsheng Lin et al.
Measure-Theoretic Anti-Causal Representation Learning
Arman Behnam, Binghui Wang
On the $O(\frac{\sqrt{d}}{K^{1/4}})$ Convergence Rate of AdamW Measured by $\ell_1$ Norm
Huan Li, Yiming Dong, Zhouchen Lin
Joint‑Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self‑Supervised Learning
Hugues Van Assel, Mark Ibrahim, Tommaso Biancalani et al.
Test-Time Spectrum-Aware Latent Steering for Zero-Shot Generalization in Vision-Language Models
Konstantinos Dafnis, Dimitris Metaxas
Unmasking Puppeteers: Leveraging Biometric Leakage to Expose Impersonation in AI-Based Videoconferencing
Danial Samadi Vahdati, Tai Nguyen, Ekta Prashnani et al.
Don’t Trade Off Safety: Diffusion Regularization for Constrained Offline RL
Junyu guo, Zhi Zheng, Donghao Ying et al.
Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration
Wenjun Wu, Lingling Zhang, Bo Zhao et al.
Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation
Leqi Zheng, Chaokun Wang, Zixin Song et al.
HairFree: Compositional 2D Head Prior for Text-Driven 360° Bald Texture Synthesis
Mirela Ostrek, Michael Black, Justus Thies
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
Xin Gao, Jiyao Liu, Guanghao Li et al.
Accelerated Distance-adaptive Methods for Hölder Smooth and Convex Optimization
Yijin Ren, Haifeng Xu, Qi Deng
A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks
Xiaoxuan Gong, Jie Ma
SingRef6D: Monocular Novel Object Pose Estimation with a Single RGB Reference
Jiahui Wang, Haiyue Zhu, Haoren Guo et al.
RayFusion: Ray Fusion Enhanced Collaborative Visual Perception
Shaohong Wang, Lu Bin, Xinyu Xiao et al.
Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs
Fangrui Zhu, Hanhui Wang, Yiming Xie et al.
MLLM-ISU: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models based Intrusion Scene Understanding
Fujun Han, Peng Ye
Fairness-Regularized Online Optimization with Switching Costs
Pengfei Li, Yuelin Han, Adam Wierman et al.
MARS-VFL: A Unified Benchmark for Vertical Federated Learning with Realistic Evaluation
Wei Shen, Weiqi Liu, Mingde Chen et al.
Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions
Aobo Li, Jinjian Wu, Yongxu Liu et al.
Learning “Partner-Aware” Collaborators in Multi-Party Collaboration
Abhijnan Nath, Nikhil Krishnaswamy
EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths
Zhening Li, Armando Solar-Lezama, Yisong Yue et al.
CoreaSpeech: Korean Speech Corpus via JAMO-based Coreset Selection for Efficient and Robust Korean Speech Generation
Ki-Joong Kwon, Junho So, Sang-Hoon Lee
SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning
Chen Chen, Majid Abdolshah, Violetta Shevchenko et al.
Synergistic Tensor and Pipeline Parallelism
Mengshi Qi, Jiaxuan Peng, Jie Zhang et al.
Unbalanced Optimal Total Variation Transport: A Theoretical Approach to Spatial Resource Allocation Problems
Nhan-Phu Chung, Jinhui Han, Bohan Li et al.
Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity
Yuhan Zhang, Long Zhuo, Ziyang Chu et al.
FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
Woosung Kim, Jinho Lee, Jongmin Lee et al.
Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning
Minglu Zhao, Dehong Xu, Deqian Kong et al.
DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches
Yun Xing, Yue Cao, Nhat Chung et al.
UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback
Pengwei Liu, Hangjie Yuan, Bo Dong et al.
A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing
Alex Clinton, Thomas Zeng, Yiding Chen et al.
Preference Distillation via Value based Reinforcement Learning
Minchan Kwon, Junwon Ko, Kangil kim et al.
NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data
Haolong Qian, Xianliang Yang, Ling Zhang et al.
ForceFM: Enhancing Protein-Ligand Predictions through Force-Guided Flow Matching
HUANLEI GUO, Song LIU, Bingyi Jing
Restage4D: Reanimating Deformable 3D Reconstruction from a Single Video
Jixuan He, Chieh Lin, Lu Qi et al.
C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
Antonios Valkanas, Soumyasundar Pal, Pavel Rumiantsev et al.
Cross City Traffic Flow Generation via Retrieval Augmented Diffusion Model
Yudong Li, Jingyuan Wang, Xie Yu et al.
CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation
Ziao Wang, Sixing Yan, Kejing Yin et al.
LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks
Di Jin, Yuxiang Zhang, Bingdao Feng et al.
Predictable Scale (Part II) --- Farseer: A Refined Scaling Law in LLMs
Houyi Li, Wenzhen Zheng, Qiufeng Wang et al.
GTR-Loc: Geospatial Text Regularization Assisted Outdoor LiDAR Localization
Shangshu Yu, Wen Li, Xiaotian Sun et al.
Sequence Modeling with Spectral Mean Flows
Jinwoo Kim, Max Beier, Petar Bevanda et al.
SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering
Ruimeng Liu, Xin Zou, Chang Tang et al.
Kuramoto Orientation Diffusion Models
Yue Song, Andy Keller, Sevan Brodjian et al.
Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models
Yixiao Wang, Zishan Shao, Ting Jiang et al.
Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning
Jiawei Huang, Minming Li, Hu Ding
Where Graph Meets Heterogeneity: Multi-View Collaborative Graph Experts
Zhihao Wu, Jinyu Cai, Yunhe Zhang et al.
Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
Jiaqi Wang, Zhiguang Cao, Peng Zhao et al.
Uncertainty-Informed Meta Pseudo Labeling for Surrogate Modeling with Limited Labeled Data
Xingyu Ren, Pengwei Liu, Pengkai Wang et al.
Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation
Guoqing Hu, An Zhang, Shuchang Liu et al.
You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network
Yi Li, Zhichun Guo, Guanpeng Li et al.
Convergence of the Gradient Flow for Shallow ReLU Networks on Weakly Interacting Data
Léo Dana, Loucas Pillaud-Vivien, Francis Bach
MMCSBench: A Fine-Grained Benchmark for Large Vision-Language Models in Camouflage Scenes
Jin Zhang, Ruiheng Zhang, Zhe Cao et al.
Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization
Mohammad Pedramfar, Christopher Quinn, Vaneet Aggarwal
DeltaFormer: Unlock the state space of Transformer
Mingyu Xu, Tenglong Ao, Jiaao He et al.
Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems
Hao Liang, shuqing shi, Yudi Zhang 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.
Rethinking Fair Federated Learning from Parameter and Client View
Kaiqi Guan, Wenke Huang, Xianda Guo et al.
Less is More: Local Intrinsic Dimensions of Contextual Language Models
Benjamin Matthias Ruppik, Julius von Rohrscheidt, Carel van Niekerk et al.
Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification
Jon Saad-Falcon, Estefany Kelly Buchanan, Mayee Chen et al.
Entropy-Calibrated Label Distribution Learning
Yunan Lu, Bowen Xue, Xiuyi Jia et al.
Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment
Chen Liu, Wenfang Yao, Kejing Yin et al.
The Rashomon Set Has It All: Analyzing Trustworthiness of Trees under Multiplicity
Ethan Hsu, Tony Cao, Lesia Semenova et al.
Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
Clément Bénard
Problem-Parameter-Free Decentralized Bilevel Optimization
Zhiwei Zhai, Wenjing Yan, Ying-Jun Zhang
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.
Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets
Zixian Yang, Sushil Varma, Lei Ying
AHa-Bench: Benchmarking Audio Hallucinations in Large Audio-Language Models
Xize Cheng, Dongjie Fu, Chenyuhao Wen et al.
Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations
Da Ma, Gonghu Shang, Zhi Chen et al.
Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
Tsai Hor Chan, Feng Wu, Yihang Chen et al.
Class conditional conformal prediction for multiple inputs by p-value aggregation
Jean-Baptiste Fermanian, Mohamed Hebiri, Joseph Salmon
Robust Regression of General ReLUs with Queries
Ilias Diakonikolas, Daniel Kane, Mingchen Ma
TreeGen: A Bayesian Generative Model for Hierarchies
Marcel Kollovieh, Nils Fleischmann, Filippo Guerranti et al.
BAM-ICL: Causal Hijacking In-Context Learning with Budgeted Adversarial Manipulation
Rui Chu, Bingyin Zhao, Hanling Jiang et al.
Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design
Nianzu Yang, Songlin Jiang, Jian Ma et al.
Fuse2Match: Training-Free Fusion of Flow, Diffusion, and Contrastive Models for Zero-Shot Semantic Matching
Jing Zuo, Jiaqi Wang, Yonggang Qi et al.
Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer
Xuelin Shen, Quan Liu, Jiayin Xu et al.
Heterogeneous Graph Transformers for Simultaneous Mobile Multi-Robot Task Allocation and Scheduling under Temporal Constraints
Batuhan Altundas, Shengkang Chen, Shivika Singh et al.
Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models
Jie Zhao, Kang Cheong
FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models
Pukang Ye, Luo Junwei, Jiachen Shen et al.
Dual-Res Tandem Mamba-3D: Bilateral Breast Lesion Detection and Classification on Non-contrast Chest CT
Jiaheng Zhou, Wei Fang, Luyuan Xie et al.
A CLT for Polynomial GNNs on Community-Based Graphs
Luciano Vinas, Arash Amini
A Hierarchy of Graphical Models for Counterfactual Inferences
Hongshuo Yang, Elias Bareinboim
Counterfactual Image Editing with Disentangled Causal Latent Space
Yushu Pan, Elias Bareinboim
CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations
Guangyi Chen, Yunlong Deng, Peiyuan Zhu et al.
Residual Stream Analysis of Overfitting And Structural Disruptions
Quan Liu, Han Zhou, Wenquan Wu et al.
Smooth Quadratic Prediction Markets
Enrique Nueve, Bo Waggoner
SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation
Yanwei Ren, Haotian Zhang, Fuxiang Wu et al.
Videos are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations
Xin Liu, Haoran Li, Dongbin Zhao
Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning
Wei Wu, Yuxing Lu, Zhengrui Guo et al.
Crucible: Quantifying the Potential of Control Algorithms through LLM Agents
Lianchen Jia, Chaoyang Li, Qian Houde et al.
ESCA: Contextualizing Embodied Agents via Scene-Graph Generation
Jiani Huang, Amish Sethi, Matthew Kuo et al.
Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks
Shakir Yousefi, Andreas Plesner, Till Aczel et al.
Ranking-based Preference Optimization for Diffusion Models from Implicit User Feedback
Yi-Lun Wu, Bo-Kai Ruan, Chiang Tseng et al.
AnomalyCoT: A Multi-Scenario Chain-of-Thought Dataset for Multimodal Large Language Models
Jiaxi Cheng, Yuliang Xu, Shoupeng Wang et al.
Siegel Neural Networks
Xuan Son Nguyen, Aymeric Histace, Nistor Grozavu
PMLF: A Physics-Guided Multiscale Loss Framework for Structurally Heterogeneous Time Series
Xinghong Chen, Weilin Wu, Kunping Yang et al.
Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules
Yueqi Zhang, Peiwen Yuan, Yiwei Li et al.
Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
Emre Sahinoglu, Youbang Sun, Shahin Shahrampour
Contextual Tokenization for Graph Inverted Indices
Pritish Chakraborty, Indradyumna Roy, Soumen Chakrabarti et al.
Multi-Objective One-Shot Pruning for Large Language Models
Weiyu Chen, Hansi Yang, Yunhao Gou et al.
Quantifying Task-relevant Similarities in Representations Using Decision Variable Correlations
Yu (Eric) Qian, Wilson Geisler, Xue-Xin Wei
SGAR: Structural Generative Augmentation for 3D Human Motion Retrieval
Jiahang Zhang, Lilang Lin, Shuai Yang et al.
ViSPLA: Visual Iterative Self-Prompting for Language-Guided 3D Affordance Learning
Hritam Basak, Zhaozheng Yin
OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction
Jie Yan, Jing Liu, Zhong-Yuan Zhang
TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
Yehjin Shin, Jeongwhan Choi, Seojin Kim et al.
Social World Model-Augmented Mechanism Design Policy Learning
Xiaoyuan Zhang, Yizhe Huang, Chengdong Ma et al.
Regional Explanations: Bridging Local and Global Variable Importance
Salim I. Amoukou, Nicolas Brunel
Towards Multiscale Graph-based Protein Learning with Geometric Secondary Structural Motifs
Shih-Hsin Wang, Yuhao Huang, Taos Transue et al.
Diversity-oriented Deep Multi-modal Clustering
Wang Yanzheng, Xin Yang, Yujun Wang et al.
Combinatorial Ski Rental Problem: Robust and Learning-Augmented Algorithms
Ziwei Li, Bo Sun, Zhiqiu Zhang et al.
Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning
Sid Bharthulwar, Stone Tao, Hao Su
NUTS: Eddy-Robust Reconstruction of Surface Ocean Nutrients via Two-Scale Modeling
Hao Zheng, Shiyu Liang, Yuting Zheng et al.
Robust Minimax Boosting with Performance Guarantees
Santiago Mazuelas, Veronica Alvarez
Online Strategic Classification With Noise and Partial Feedback
Tianrun Zhao, Xiaojie Mao, Yong Liang
SimulMEGA: MoE Routers are Advanced Policy Makers for Simultaneous Speech Translation
Chenyang Le, Bing Han, Jinshun Li et al.
Axial Neural Networks for Dimension-Free Foundation Models
Hyunsu Kim, Jonggeon Park, Joan Bruna et al.
BlockDecoder: Boosting ASR Decoders with Context and Merger Modules
Darshan Prabhu, Preethi Jyothi
Generative Distribution Embeddings
Nic Fishman, Gokul Gowri, Peng Yin et al.
SHGR: A Generalized Maximal Correlation Coefficient
Samuel Stocksieker, Denys Pommeret
Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning
Wenjun Huang, Ziteng Cui, Yinqiang Zheng et al.
Surface-Aware Feed-Forward Quadratic Gaussian for Frame Interpolation with Large Motion
Zaoming Yan, Yaomin Huang, Pengcheng Lei et al.
CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs
Roman Vashurin, Maiya Goloburda, Albina Ilina et al.
Beyond Last-Click: An Optimal Mechanism for Ad Attribution
Nan An, Weian Li, Qi Qi et al.
Sampled Estimators For Softmax Must Be Biased
Li-Chung Lin, Yaxu Liu, Chih-Jen Lin
Exponential Convergence Guarantees for Iterative Markovian Fitting
Marta Gentiloni Silveri, Giovanni Conforti, Alain Durmus
Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes using Protein Language Models
Yuanxi Yu, Fan Jiang, Xinzhu Ma et al.
Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond
Kiarash Banihashem, Jeff Giliberti, Samira Goudarzi et al.
DUO: No Compromise to Accuracy Degradation
Jinda Jia, Cong Xie, Hanlin Lu et al.
Matchings Under Biased and Correlated Evaluations
Amit Kumar, Nisheeth K. Vishnoi
Understanding Bias Terms in Neural Representations
Weixiang Zhang, Boxi Li, Shuzhao Xie et al.
Active Seriation: Efficient Ordering Recovery with Statistical Guarantees
James Cheshire, Yann Issartel
PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors
Hilal Asi, Vitaly Feldman, Hannah Keller et al.