Most Cited NEURIPS "kl-divergence evaluation" Papers
5,858 papers found • Page 25 of 30
Conference
Stitch and Tell: A Structured Data Augmentation Method for Spatial Understanding
Yin Hang, Xiaomin He, Peiwen Yuan et al.
Towards 3D Objectness Learning in an Open World
Taichi Liu, Zhenyu Wang, Ruofeng Liu et al.
SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
Elif Arslan, Jacobus van der Linden, Serge Hoogendoorn et al.
Efficiently Maintaining the Multilingual Capacity of MCLIP in Downstream Cross-Modal Retrieval Tasks
Fengmao Lyu, Jitong Lei, Guosheng Lin et al.
KeeA*: Epistemic Exploratory A* Search via Knowledge Calibration
Dengwei Zhao, Shikui Tu, Yanan Sun et al.
Optimal Online Change Detection via Random Fourier Features
Florian Kalinke, Shakeel Gavioli-Akilagun
MUniverse: A Simulation and Benchmarking Suite for Motor Unit Decomposition
Pranav Mamidanna, Thomas Klotz, Dimitrios Chalatsis et al.
Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shift with Unlabeled Data
Alvaro Correia, Christos Louizos
Prompting as Scientific Inquiry
Ari Holtzman, Chenhao Tan
3D Human Pose Estimation with Muscles
Kevin Zhu, AliAsghar MohammadiNasrabadi, Alexander Wong et al.
YEAST: Yet Another Sequential Test
Alexey Kurennoy, Majed Dodin, Tural Gurbanov et al.
MixSignGraph: A Sign Sequence is Worth Mixed Graphs of Nodes
Shiwei Gan, Yafeng Yin, Zhiwei Jiang et al.
Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering
Kuicai Dong, CHANG YUJING, Shijie Huang et al.
Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation
Jinyang Li, Jack Williams, Nick McKenna et al.
Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking
Junhyuk So, Chiwoong Lee, Shinyoung Lee et al.
Disentangling Hyperedges through the Lens of Category Theory
Yoonho Lee, Junseok Lee, Sangwoo Seo et al.
SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation
He Yang, Dongyi Lv, Song Ma et al.
Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
woohyeon Byeon, Giseung Park, Jongseong Chae et al.
BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes
Lishen Qu, Zhihao Liu, Shihao Zhou et al.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer
Haiduo Huang, Jiangcheng Song, Yadong Zhang et al.
The Adaptive Complexity of Minimizing Relative Fisher Information
Huanjian Zhou, Masashi Sugiyama
STree: Speculative Tree Decoding for Hybrid State Space Models
Yangchao Wu, Zongyue Qin, Alex Wong et al.
PID-controlled Langevin Dynamics for Faster Sampling on Generative Models
Hongyi Chen, Jianhai Shu, Jingtao Ding et al.
Obliviator Reveals the Cost of Nonlinear Guardedness in Concept Erasure
Ramin Akbari, Milad Afshari, Vishnu Boddeti
Low Precision Streaming PCA
Sanjoy Dasgupta, Syamantak Kumar, Shourya Pandey et al.
FoGE: Fock Space inspired encoding for graph prompting
Takis Chytas, Rudrasis Chakraborty, Vikas Singh
Fourier Token Merging: Understanding and Capitalizing Frequency Domain for Efficient Image Generation
Jiesong Liu, Xipeng Shen
AtlasGS: Atlanta-world Guided Surface Reconstruction with Implicit Structured Gaussians
Xiyu Zhang, Chong Bao, YiPeng Chen et al.
ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets
Bohdan Turbal, Iryna Voitsitska, Lesia Semenova
A Closer Look at NTK Alignment: Linking Phase Transitions in Deep Image Regression
Giuseppe Castiglione, Christopher L Buckley, Ivor Simpson
HPSERec: A Hierarchical Partitioning and Stepwise Enhancement Framework for Long-tailed Sequential Recommendation
Xiaolong Xu, Xudong Zhao, Haolong Xiang et al.
Structure-Aware Spectral Sparsification via Uniform Edge Sampling
Kaiwen He, Petros Drineas, Rajiv Khanna
NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems
Roman Jacome, Romario Gualdrón-Hurtado, León Suárez-Rodríguez et al.
UEPI: Universal Energy-Behavior-Preserving Integrators for Energy Conservative/Dissipative Differential Equations
Elena Celledoni, Brynjulf Owren, Chong Shen et al.
CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization
Hoyoon Byun, Gyeongdeok Seo, Joonseong Kang et al.
OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration
Guancheng Wan, Jiaru Qian, Wenke Huang et al.
Fully Spiking Neural Networks for Unified Frame-Event Object Tracking
Jingjun Yang, Liangwei Fan, Jinpu Zhang et al.
A Counterfactual Semantics for Hybrid Dynamical Systems
Andy Zane, Dmitry Batenkov, Rafal Urbaniak et al.
Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
Zijie Geng, Jie Wang, Ziqi Liu et al.
FACT: Mitigating Inconsistent Hallucinations in LLMs via Fact-Driven Alternating Code-Text Training
Xinxin You, Qixin Sun, Chenwei Yan et al.
A Gradient Guided Diffusion Framework for Chance Constrained Programming
Boyang Zhang, Zhiguo Wang, Ya-Feng Liu
PolypSense3D: A Multi-Source Benchmark Dataset for Depth-Aware Polyp Size Measurement in Endoscopy
Ruyu Liu, Lin Wang, Zhou Mingming et al.
MS-Bench: Evaluating LMMs in Ancient Manuscript Study through a Dunhuang Case Study
Yuqing Zhang, Yue Han, Shuanghe Zhu et al.
Towards precision protein-ligand affinity prediction benchmark: A Complete and Modification-Aware DAVIS Dataset
Ming Hsiu Wu, Ziqian Xie, Shuiwang Ji et al.
Flexible inference for animal learning rules using neural networks
Yuhan Helena Liu, Victor Geadah, Jonathan Pillow
NeuroH-TGL: Neuro-Heterogeneity Guided Temporal Graph Learning Strategy for Brain Disease Diagnosis
Shengrong Li, Qi Zhu, Chunwei Tian et al.
Learning Parameterized Skills from Demonstrations
Vedant Gupta, Haotian Fu, Calvin Luo et al.
Unveiling Extraneous Sampling Bias with Data Missing-Not-At-Random
Chunyuan Zheng, Haocheng Yang, Haoxuan Li et al.
Investigating and Mitigating Catastrophic Forgetting in Medical Knowledge Injection through Internal Knowledge Augmentation Learning
Yuxuan Zhou, Xien Liu, Xiao Zhang et al.
TransferBench: Benchmarking Ensemble-based Black-box Transfer Attacks
Fabio Brau, Maura Pintor, Antonio Cinà et al.
Edit Flows: Variable Length Discrete Flow Matching with Sequence-Level Edit Operations
Marton Havasi, Brian Karrer, Itai Gat et al.
SpectraLDS: Provable Distillation for Linear Dynamical Systems
Devan Shah, Shlomo Fortgang, Sofiia Druchyna et al.
Learning from Delayed Feedback in Games via Extra Prediction
Yuma Fujimoto, Kenshi Abe, Kaito Ariu
DetectiumFire: A Comprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding
Zixuan Liu, Siavash H. Khajavi, Guangkai Jiang
AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches
Wenjun Ji, Yuxiang Fu, Luyang Ying et al.
OceanBench: A Benchmark for Data-Driven Global Ocean Forecasting systems
Anass El Aouni, Quentin Gaudel, J. Emmanuel Johnson et al.
Non-Stationary Structural Causal Bandits
Yeahoon Kwon, Yesong Choe, Soungmin Park et al.
Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
Jiaqi Li, Zhipeng Lou, Johannes Schmidt-Hieber et al.
Unified 2D-3D Discrete Priors for Noise-Robust and Calibration-Free Multiview 3D Human Pose Estimation
Geng Chen, Pengfei Ren, Xufeng Jian et al.
Continuous Soft Actor-Critic: An Off-Policy Learning Method Robust to Time Discretization
Huimin Han, Shaolin Ji
Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem
Yichen Li, Yijing Shan, YI LIU et al.
Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification
Zhongao Zhou, Bin Yang, Wenke Huang et al.
Improving Monte Carlo Tree Search for Symbolic Regression
Zhengyao Huang, Daniel Huang, Tiannan Xiao et al.
What Expressivity Theory Misses: Message Passing Complexity for GNNs
Niklas Kemper, Tom Wollschläger, Stephan Günnemann
Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression
Xi Zhang, Xiaolin Wu, Jiamang Wang et al.
Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL
Juan Formanek, Omayma Mahjoub, Louay Nessir et al.
Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts
Siyang Jiang, Rui Fang, Hsi-Wen Chen et al.
Spatially-aware Weights Tokenization for NeRF-Language Models
Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti et al.
Tabula: A Tabular Self-Supervised Foundation Model for Single-Cell Transcriptomics
Jiayuan Ding, Jianhui Lin, Shiyu Jiang et al.
Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup
Sibo Tian, Xin Wang, Zeyang Zhang et al.
Depth-Supervised Fusion Network for Seamless-Free Image Stitching
Zhiying Jiang, Ruhao Yan, Zengxi Zhang et al.
Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning
Congyu Qiao, Ning Xu, Yihao Hu et al.
A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input
Bar Mahpud, Or Sheffet
Optimal Mistake Bounds for Transductive Online Learning
Zachary Chase, Steve Hanneke, Shay Moran et al.
Optimal Graph Clustering without Edge Density Signals
Maximilien Dreveton, Elaine Liu, Matthias Grossglauser et al.
Robust Satisficing Gaussian Process Bandits Under Adversarial Attacks
Artun Saday, Yaşar Cahit Yıldırım, Cem Tekin
An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph
Tam Le, Truyen Nguyen, Hideitsu Hino et al.
How to Scale Second-Order Optimization
Charlie Chen, Shikai Qiu, Hoang Phan et al.
Complexity Scaling Laws for Neural Models using Combinatorial Optimization
Lowell Weissman, Michael Krumdick, A. Abbott
Non-Singularity of the Gradient Descent Map for Neural Networks with Piecewise Analytic Activations
Alexandru Crăciun, Debarghya Ghoshdastidar
Unfolding the Black Box of Recurrent Neural Networks for Path Integration
Tianhao Chu, Yuling Wu, Neil Burgess et al.
Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks
Xuan Tang, Han Zhang, Yuan Cao et al.
Geometric Algorithms for Neural Combinatorial Optimization with Constraints
Nikolaos Karalias, Akbar Rafiey, Yifei Xu et al.
Plug-and-play Feature Causality Decomposition for Multimodal Representation Learning
Ye Liu, Zihan Ji, Hongmin Cai
Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference
Kyurae Kim, Yian Ma, Trevor Campbell et al.
PhySwin: An Efficient and Physically-Informed Foundation Model for Multispectral Earth Observation
Chong Tang, Joseph Powell, Dirk Koch et al.
Value Diffusion Reinforcement Learning
Xiaoliang Hu, Fuyun Wang, Tong Zhang et al.
SEMPO: Lightweight Foundation Models for Time Series Forecasting
Hui He, Kun Yi, Yuanchi Ma et al.
MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification
Xinya Qin, Lu Bai, Lixin Cui et al.
Policy Gradient Methods Converge Globally in Imperfect-Information Extensive-Form Games
Fivos Kalogiannis, Gabriele Farina
ViewPoint: Panoramic Video Generation with Pretrained Diffusion Models
Zixun Fang, Kai Zhu, Zhiheng Liu et al.
PandaPose: 3D Human Pose Lifting from a Single Image via Propagating 2D Pose Prior to 3D Anchor Space
Jinghong Zheng, Changlong Jiang, Yang Xiao et al.
The quest for the GRAph Level autoEncoder (GRALE)
Paul Krzakala, Gabriel Melo, Charlotte Laclau et al.
Kernel von Mises Formula of the Influence Function
Yaroslav Mukhin
Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models
Dhruva Karkada, James Simon, Yasaman Bahri et al.
EPA: Boosting Event-based Video Frame Interpolation with Perceptually Aligned Learning
Yuhan Liu, LingHui Fu, Zhen Yang et al.
FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts
Weihao Bo, Yanpeng Sun, Yu Wang et al.
OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction
Juntong Wang, Xiyuan Wang, Muhan Zhang
When Models Don’t Collapse: On the Consistency of Iterative MLE
Daniel Barzilai, Ohad Shamir
PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models
Lancheng Zou, Shuo Yin, Zehua Pei et al.
Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation
Lucas Morisset, Adrien Hardy, Alain Durmus
Computational Budget Should Be Considered in Data Selection
Weilin Wan, Weizhong Zhang, Cheng Jin
Frequency-Aware Token Reduction for Efficient Vision Transformer
DongJae Lee, Jiwan Hur, Jaehyun Choi et al.
Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers
Woomin Song, Sai Muralidhar Jayanthi, Srikanth Ronanki et al.
Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster
Shriram M S, Xinyue Hao, Shihao Hou et al.
Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization
Zhenhao Zhong, Zhibin Gu, Pengpeng Yang et al.
Convergence Rates of Constrained Expected Improvement
Haowei Wang, Jingyi Wang, Zhongxiang Dai et al.
Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities
Can Rong, Xin Zhang, Yanxin Xi et al.
A Learning-Augmented Approach to Online Allocation Problems
Ilan Cohen, Debmalya Panigrahi
GLVD: Guided Learned Vertex Descent
Pol Caselles RIco, Francesc Moreno-Noguer
Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking
Hyunseop Kim, Juheon Jeong, Hanul Kim et al.
On the VC dimension of deep group convolutional neural networks
Anna Sepliarskaia, Sophie Langer, Johannes Schmidt-Hieber
Motion4D: Learning 3D-Consistent Motion and Semantics for 4D Scene Understanding
Haoran Zhou, Gim Hee Lee
Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
Félix Lefebvre, Gael Varoquaux
Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning
Xianghua Zeng, Hao Peng, Yicheng Pan et al.
Assignments for Congestion-Averse Agents: Seeking Competitive and Envy-Free Solutions
Jiehua Chen, Jiong Guo, Yinghui Wen
Towards Building Model/Prompt-Transferable Attackers against Large Vision-Language Models
Xiaowen Cai, Daizong Liu, Xiaoye Qu et al.
Learning Chern Numbers of Multiband Topological Insulators with Gauge Equivariant Neural Networks
Longde Huang, Oleksandr Balabanov, Hampus Linander et al.
QBasicVSR: Temporal Awareness Adaptation Quantization for Video Super-Resolution
Zhenwei Zhang, Fanhua Shang, Hongying Liu et al.
S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation
Junlang Huang, Chen Hao, Li Luo et al.
DyMoDreamer: World Modeling with Dynamic Modulation
Boxuan Zhang, Runqing Wang, Wei Xiao et al.
FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance
Ying Li, Chengfei Lyu, Huan Wang
Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning
Ximing Li, Yuanchao Dai, Bing Wang et al.
Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix
Zhuonan Zheng, Yuanchen Bei, Zhiyao Zhou et al.
MVSMamba: Multi-View Stereo with State Space Model
Jianfei Jiang, Qiankun Liu, Hongyuan Liu et al.
Understanding while Exploring: Semantics-driven Active Mapping
Liyan Chen, Huangying Zhan, Hairong Yin et al.
Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy
Qing Zhao, Weijian Deng, Pengxu Wei et al.
ChemX: A Collection of Chemistry Datasets for Benchmarking Automated Information Extraction
Anastasia Vepreva, Julia Razlivina, Mariia Eremeyeva et al.
Computable universal online learning
Dariusz Kalociński, Tomasz Steifer
Brain-Inspired fMRI-to-Text Decoding via Incremental and Wrap-Up Language Modeling
Wentao Lu, Dong Nie, Pengcheng Xue et al.
Spatiotemporal Consensus with Scene Prior for Unsupervised Domain Adaptive Person Search
Yimin Jiang, Huibing Wang, Jinjia peng
Hierarchical Shortest-Path Graph Kernel Network
Jiaxin Wang, Wenxuan Tu, Jieren Cheng
Simultaneous Statistical Inference for Off-Policy Evaluation in Reinforcement Learning
Tianpai Luo, Xinyuan Fan, Weichi Wu
Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data
Zi Liang, Qingqing Ye, Xuan Liu et al.
Safely Learning Controlled Stochastic Dynamics
Luc Brogat-Motte, Alessandro Rudi, Riccardo Bonalli
Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning
Ziqi Gu, Chunyan Xu, Wenxuan Fang et al.
Accurately Predicting Protein Mutational Effects via a Hierarchical Many-Body Attention Network
Dahao Xu, Jiahua Rao, Mingming Zhu et al.
SpecMAS: A Multi-Agent System for Self-Verifying System Generation via Formal Model Checking
Rishabh Agrawal, Kaushik Ranade, Aja Khanal et al.
Fantastic Features and Where to Find Them: A Probing Method to combine Features from Multiple Foundation Models
Benjamin Ramtoula, Pierre-Yves Lajoie, Paul Newman et al.
Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming
Zhao Song, Jianfei Xue, Lichen Zhang
Decoupled Entropy Minimization
Jing Ma, Hanlin Li, Xiang Xiang
Causal Discovery and Inference through Next-Token Prediction
Eivinas Butkus, Nikolaus Kriegeskorte
IA-GGAD: Zero-shot Generalist Graph Anomaly Detection via Invariant and Affinity Learning
Xiong Zhang, Zhenli He, Changlong Fu et al.
On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent
Xinwen Zhang, Hongchang Gao
Median Selection with Noisy and Structural Information
Chenglin Fan, Mingyu Kang
When and how can inexact generative models still sample from the data manifold?
Nisha Chandramoorthy, Adriaan de Clercq
L2DGCN: Learnable Enhancement and Label Selection Dynamic Graph Convolutional Networks for Mitigating Degree Bias
jingxiao zhang, Shifei Ding, Jian Zhang et al.
On Logic-based Self-Explainable Graph Neural Networks
Alessio Ragno, Marc Plantevit, Céline Robardet
Elastic ViTs from Pretrained Models without Retraining
Walter Simoncini, Michael Dorkenwald, Tijmen Blankevoort et al.
Mamba Only Glances Once (MOGO): A Lightweight Framework for Efficient Video Action Detection
Yunqing Liu, Nan Zhang, Fangjun Wang et al.
Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning
RUIYAO MIAO, Junren Xiao, Shiya Tsang et al.
KAIROS: Scalable Model-Agnostic Data Valuation
Jiongli Zhu, Parjanya Prashant, Alex Cloninger et al.
On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders
Wenyu Mao, Jiancan Wu, Guoqing Hu et al.
Johnson-Lindenstrauss Lemma Beyond Euclidean Geometry
Chengyuan Deng, Jie Gao, Kevin Lu et al.
The Quotient Bayesian Learning Rule
Mykola Lukashchuk, Raphaël Trésor, Wouter Nuijten et al.
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
Natalie Maus, Kyurae Kim, Yimeng Zeng et al.
Bézier Splatting for Fast and Differentiable Vector Graphics Rendering
Xi Liu, Chaoyi Zhou, Nanxuan Zhao et al.
Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models
Liang Peng, Boxi Wu, Haoran Cheng et al.
Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
Jaeseung Heo, Kyeongheung Yun, Seokwon Yoon et al.
InstructHOI: Context-Aware Instruction for Multi-Modal Reasoning in Human-Object Interaction Detection
Jinguo Luo, Weihong Ren, Quanlong Zheng et al.
TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses
Sahar Dastani, Ali Bahri, Gustavo Vargas Hakim et al.
Measuring AI Ability to Complete Long Software Tasks
Thomas Kwa, Ben West, Joel Becker et al.
Enhancing Privacy in Multimodal Federated Learning with Information Theory
Tianzhe Xiao, Yichen Li, Yining Qi et al.
Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving
Hossein Askari, Yadan Luo, Hongfu Sun et al.
NEED: Cross-Subject and Cross-Task Generalization for Video and Image Reconstruction from EEG Signals
Shuai Huang, Huan Luo, Haodong Jing et al.
ZEBRA: Towards Zero-Shot Cross-Subject Generalization for Universal Brain Visual Decoding
Haonan Wang, Jingyu Lu, Hongrui Li et al.
IMPACT: Irregular Multi-Patch Adversarial Composition Based on Two‑Phase Optimization
Zenghui Yang, Xingquan Zuo, Hai Huang et al.
Don’t Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation
Woojin Kim, Jaeyoung Do
Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Observation Delays
Songchen Fu, Siang Chen, Shaojing Zhao et al.
Lua-LLM: Learning Unstructured-Sparsity Allocation for Large Language Models
Mingge Lu, Jingwei Sun, Junqing Lin et al.
Planning with Quantized Opponent Models
XiaoPeng Yu, Kefan Su, Zongqing Lu
Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers
Yongqi Ding, Lin Zuo, Mengmeng Jing et al.
Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games
Tongyang Li, Xinzhao Wang, Yexin Zhang
Imitation Learning with Temporal Logic Constraints
Zining Fan, He Zhu
Vector Quantization in the Brain: Grid-like Codes in World Models
Xiangyuan Peng, Xingsi Dong, Si Wu
Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation
Agneet Chatterjee, Rahim Entezari, Maksym Zhuravinskyi et al.
Angular Constraint Embedding via SpherePair Loss for Constrained Clustering
Shaojie Zhang, Ke Chen
On the sample complexity of semi-supervised multi-objective learning
Tobias Wegel, Geelon So, Junhyung Park et al.
Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference
Stephen Zhao, Aidan Li, Rob Brekelmans et al.
Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models
Tomas Soucek, Sylvestre-Alvise Rebuffi, Pierre Fernandez et al.
Beyond Oracle: Verifier-Supervision for Instruction Hierarchy in Reasoning and Instruction-Tuned LLMs
Sian-Yao Huang, Li-Hsien Chang, Che-Yu Lin et al.
Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning
Baiyuan Chen, Shinji Ito, Masaaki Imaizumi
Gaussian Processes for Shuffled Regression
Masahiro Kohjima
Learning-Augmented Online Bidding in Stochastic Settings
Spyros Angelopoulos, Bertrand Simon
A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors
Sebastian Wagner-Carena, Aizhan Akhmetzhanova, Sydney Erickson
Efficient semantic uncertainty quantification in language models via diversity-steered sampling
Ji Won Park, Kyunghyun Cho
Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective
Chenwang Wu, Yiu-ming Cheung, Bo Han et al.
Feature Unlearning: Theoretical Foundations and Practical Applications with Shuffling
Yue Yang, Jinhao Li, Hao Wang
Transcending Cost-Quality Tradeoff in Agent Serving via Session-Awareness
Yanyu Ren, Li Chen, Dan Li et al.
SceneForge: Enhancing 3D-text alignment with Structured Scene Compositions
Cristian Sbrolli, Matteo Matteucci
SignFlow Bipartite Subgraph Network For Large-Scale Graph Link Sign Prediction
Yixiao Zhou, Xiaoqing Lyu, Hongxiang Lin et al.
MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts
Mahmoud Selim, Sriharsha Bhat, Karl H. Johansson
LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models
Yihao LIU, Xinqi Lyu, Dong Wang et al.
Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks
Hang Yu, Lyumin Wu, Wenxin Zhou et al.
Modelling the control of offline processing with reinforcement learning
Eleanor Spens, Neil Burgess, Tim Behrens
FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation
Zeyu Zhang, Yiran Wang, Danning Li et al.
Scaling Up Parameter Generation: A Recurrent Diffusion Approach
Kai Wang, Dongwen Tang, Wangbo Zhao et al.
PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture
Yi Liu, Yang Liu, Leqian Zheng et al.
Diffusion on Demand: Selective Caching and Modulation for Efficient Generation
Hee Min Choi, Hyoa Kang, Dokwan Oh et al.
Partial Physics Informed Diffusion Model for Ocean Chlorophyll Concentration Reconstruction
Qianxun Xu, Zuchuan Li