Most Cited NEURIPS "steiner tree problem" Papers
5,858 papers found • Page 28 of 30
Conference
FastJAM: a Fast Joint Alignment Model for Images
Omri Hirsch, Ron Shapira Weber, Shira Ifergane et al.
Maximizing the Value of Predictions in Control: Accuracy Is Not Enough
Yiheng Lin, Christopher Yeh, Zaiwei Chen et al.
Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation
Yuyang Huang, Yabo Chen, Junyu Zhou et al.
GD$^2$: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy
Kailai Li, Jiong Lou, Jiawei Sun et al.
You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering
Hanyang Li, Yuheng Jia, Hui LIU et al.
Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models
Hai Yan, Haijian Ma, Xiaowen Cai et al.
Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks
Korneel Van den Berghe, Stein Stroobants, Vijay Janapa Reddi et al.
PoE-World: Compositional World Modeling with Products of Programmatic Experts
Top Piriyakulkij, Yichao Liang, Hao Tang et al.
Understanding and Enhancing Mask-Based Pretraining towards Universal Representations
Mingze Dong, Leda Wang, Yuval Kluger
Large Language Models as Model Organisms for Human Associative Learning
Camila Kolling, Vy Vo, Mariya Toneva
Learning with Statistical Equality Constraints
Aneesh Barthakur, Luiz Chamon
PRSformer: Disease Prediction from Million-Scale Individual Genotypes
Payam Dibaeinia, Chris German, Suyash Shringarpure et al.
Uncertainty-aware Preference Alignment for Diffusion Policies
Runqing Miao, Sheng Xu, Runyi Zhao et al.
InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models
Yanggan Gu, Yuanyi Wang, Zhaoyi Yan et al.
Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation
Bailey Trang Nguyen, Parham Saremi, Alan Wang et al.
Flow-GRPO: Training Flow Matching Models via Online RL
Jie Liu, Gongye Liu, Jiajun Liang et al.
Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
Michelle Yuan, Khushbu Pahwa, Shuaichen Chang et al.
SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification
Zhenglin Lai, Mengyao Liao, Bingzhe Wu et al.
Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go
Sascha Xu, Nils Philipp Walter, Jilles Vreeken
A Signed Graph Approach to Understanding and Mitigating Oversmoothing
Jiaqi Wang, Xinyi Wu, James Cheng et al.
One for All: Universal Topological Primitive Transfer for Graph Structure Learning
Yide Qiu, Tong Zhang, Xing Cai et al.
FerretNet: Efficient Synthetic Image Detection via Local Pixel Dependencies
Shuqiao Liang, Jian Liu, Chen Renzhang et al.
Federated Multi-armed Bandits with Efficient Bit-Level Communications
Haoran Zhang, Yang Xu, Xuchuang Wang et al.
VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models
Jesimon Barreto, Carlos Caetano, Andre Araujo et al.
AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
Zewei Zhou, Tianhui Cai, Seth Zhao et al.
FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation
Yutong Feng, Xu Liu, Yutong Xia et al.
Gains: Fine-grained Federated Domain Adaptation in Open Set
Zhengyi Zhong, Wenzheng Jiang, Weidong Bao et al.
Compress Large Language Models via Collaboration Between Learning and Matrix Approximation
Yuesen Liao, Zhiwei Li, Binrui Wu et al.
GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection
Pingbang Hu, Joseph Melkonian, Weijing Tang et al.
Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives
Sarah Cen, Salil Goyal, Zaynah Javed et al.
VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
Jaekyun Park, Hye Won Chung
FSI-Edit: Frequency and Stochasticity Injection for Flexible Diffusion-Based Image Editing
Kaixiang Yang, Xin Li, Yuxi Li et al.
FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts
Dario Fenoglio, Mohan Li, Pietro Barbiero et al.
GenIR: Generative Visual Feedback for Mental Image Retrieval
Diji Yang, Minghao Liu, Chung-Hsiang Lo et al.
UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems
Dian Meng, Zhiguang Cao, Jie Gao et al.
Solving the Asymmetric Traveling Salesman Problem via Trace-Guided Cost Augmentation
Zhen Zhang, Prof Javen Qinfeng Shi, Wee Sun Lee
Concept-Guided Interpretability via Neural Chunking
Shuchen Wu, Stephan Alaniz, Shyamgopal Karthik et al.
Vector Database Watermarking
Zhiwen Ren, Wei Fan, Qiyi Yao et al.
On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model
Alexander Pluska, Sagar Malhotra
Revolutionizing Training-Free NAS: Towards Efficient Automatic Proxy Discovery via Large Language Models
Haidong Kang, Lihong Lin, Hanling Wang
Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring
Federico Di Gennaro, Khaled Eldowa, Nicolò Cesa-Bianchi
Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
Ben Schiffer, Mark Sellke
VarFlow: Proper Scoring-Rule Diffusion Distillation via Energy Matching
Huiyang Shao, Xin Xia, Yuxi Ren et al.
SE-GUI: Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning
Xinbin Yuan, Jian Zhang, Kaixin Li et al.
LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering
Jonas Kulhanek, Marie-Julie Rakotosaona, Fabian Manhardt et al.
C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails
Mintong Kang, Zhaorun Chen, Bo Li
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
Binh Ho, Long Nguyen-Chi, TrungTin Nguyen et al.
Reconciling Geospatial Prediction and Retrieval via Sparse Representations
YI LI, CHEN YUANLONG, Weiming Huang et al.
Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning
Jiawei Gu, Yidi Wang, Qingqiang Sun et al.
Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds
Yunrui Guan, Krishnakumar Balasubramanian, Shiqian Ma
ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding
junliang ye, Zhengyi Wang, Ruowen Zhao et al.
Regret Bounds for Adversarial Contextual Bandits with General Function Approximation and Delayed Feedback
Orin Levy, Liad Erez, Alon Peled-Cohen et al.
G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks
Alireza Aghasi, Nicholas F. Marshall, Saeid Pourmand et al.
From Softmax to Score: Transformers Can Effectively Implement In-Context Denoising Steps
Paul Rosu, Lawrence Carin, Xiang Cheng
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
Muquan Yu, Mu Nan, Hossein Adeli et al.
Semi-Supervised Regression with Heteroscedastic Pseudo-Labels
Xueqing Sun, Renzhen Wang, Quanziang Wang et al.
ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning
Timo Kaufmann, Yannick Metz, Daniel Keim et al.
MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning
Han Wu, Jie Yin
ConnectomeBench: Can LLMs proofread the connectome?
Jeff Brown, Andrew Kirjner, Annika Vivekananthan et al.
Valid Selection among Conformal Sets
Mahmoud Hegazy, Liviu Aolaritei, Michael Jordan et al.
Corporate Needs You to Find the Difference: Revisiting Submodular and Supermodular Ratio Optimization Problems
Elfarouk Harb, Yousef Yassin, Chandra Chekuri
A Unified Framework for Fair Graph Generation: Theoretical Guarantees and Empirical Advances
Zichong Wang, Zhipeng Yin, Wenbin Zhang
The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models
Ke Ji, Jiahao Xu, Tian Liang et al.
HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning
Guancheng Wan, Xiaoran Shang, Yuxin Wu et al.
KL-Regularized RLHF with Multiple Reference Models: Exact Solutions and Sample Complexity
Gholamali Aminian, Amir R. Asadi, Idan Shenfeld et al.
Representational Difference Explanations
Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
Tianjun Yao, Haoxuan Li, Yongqiang Chen et al.
Vocabulary In-Context Learning in Transformers: Benefits of Positional Encoding
Qian Ma, Ruoxiang Xu, Yongqiang Cai
Language Models (Mostly) Know When to Stop Reading
Roy Xie, Junlin Wang, Paul Rosu et al.
RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models
Yingsha Xie, Rui Min, Zeyu Qin et al.
Per-Architecture Training-Free Metric Optimization for Neural Architecture Search
Mingzhuo Lin, Jianping Luo
When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective
Beatrix Nielsen, Emanuele Marconato, Andrea Dittadi et al.
Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models
Yasha Ektefaie, Andrew Shen, Lavik Jain et al.
Rethinking the Role of Verbatim Memorization in LLM Privacy
Tom Sander, Bargav Jayaraman, Mark Ibrahim et al.
Adaptive Gradient Masking for Balancing ID and MLLM-based Representations in Recommendation
Yidong Wu, Siyuan Chen, Binrui Wu et al.
Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning
Bastien Dubail, Stefan Stojanovic, Alexandre Proutiere
Robust learning of halfspaces under log-concave marginals
Jane Lange, Arsen Vasilyan
Wasserstein Convergence of Critically Damped Langevin Diffusions
Stanislas Strasman, Sobihan Surendran, Claire Boyer et al.
ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
Jinho Choi, Hyesu Lim, Steffen Schneider et al.
Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion
Qing-Yuan Jiang, Longfei Huang, Yang Yang
Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
Han Wang, Chao Ning
Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models
Yan-Shuo Liang, Jia-Rui Chen, Wu-Jun Li
FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts
Heming Zou, Yunliang Zang, Wutong Xu et al.
Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMs
Insu Lee, Wooje Park, Jaeyun Jang et al.
Reliable Lifelong Multimodal Editing: Conflict-Aware Retrieval Meets Multi-Level Guidance
Qiang Zhang, Fanrui Zhang, Jiawei Liu et al.
DualMPNN: Harnessing Structural Alignments for High-Recovery Inverse Protein Folding
Xuhui Liao, qiyu wang, Zhiqiang Liang et al.
LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
Florian Sestak, Artur Toshev, Andreas Fürst et al.
Bipolar Self-attention for Spiking Transformers
Shuai Wang, Malu Zhang, Jingya Wang et al.
Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations
Faisal Hamman, Pasan Dissanayake, Yanjun Fu et al.
Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging
Ibrahim Ethem Hamamci, Sezgin Er, Suprosanna Shit et al.
On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls
Emmeran Johnson, David Martinez-Rubio, Ciara Pike-Burke et al.
Bilevel Optimization for Adversarial Learning Problems: Sharpness, Generation, and Beyond
Risheng Liu, Zhu Liu, Weihao Mao et al.
Weak-shot Keypoint Estimation via Keyness and Correspondence Transfer
Junjie Chen, Zeyu Luo, Zezheng Liu et al.
Accelerating Parallel Diffusion Model Serving with Residual Compression
Jiajun Luo, Yicheng Xiao, Jianru Xu et al.
Behavior Injection: Preparing Language Models for Reinforcement Learning
Zhepeng Cen, Yihang Yao, William Han et al.
Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment
DEOKJAE LEE, Hyun Oh Song
Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe
Chong You, Rajesh Jayaram, Ananda Theertha Suresh et al.
Preference-Guided Diffusion for Multi-Objective Offline Optimization
Yashas Annadani, Syrine Belakaria, Stefano Ermon et al.
Event-Guided Consistent Video Enhancement with Modality-Adaptive Diffusion Pipeline
Kanghao Chen, Zixin Zhang, Guoqiang Liang et al.
Balanced Conic Rectified Flow
Kim Shin seong, Mingi Kwon, Jaeseok Jeong 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.
Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning
Jiawei Huang, Minming Li, Hu Ding
Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs
Xander Davies, Eric Winsor, Alexandra Souly et al.
Problem-Parameter-Free Decentralized Bilevel Optimization
Zhiwei Zhai, Wenjing Yan, Ying-Jun Zhang
ViDAR: Video Diffusion-Aware 4D Reconstruction From Monocular Inputs
Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay et al.
Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch?
Yijie Hu, Zihao Zhou, Kaizhu Huang et al.
Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation
Wenjie Du, Xuqiang Li, Jinke Feng et al.
Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization
Michael Green, Matan Levy, Issar Tzachor 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
Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection
Yuyang Yu, Zhengwei Chen, Xuemiao Xu et al.
VidEmo: Affective-Tree Reasoning for Emotion-Centric Video Foundation Models
Zhicheng Zhang, Weicheng Wang, Yongjie Zhu et al.
Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks
Heasung Kim, Taekyun Lee, Hyeji Kim et al.
Low-Rank Head Avatar Personalization with Registers
Sai Tanmay Reddy Chakkera, Aggelina Chatziagapi, Md Moniruzzaman et al.
Mitigating Spurious Features in Contrastive Learning with Spectral Regularization
Naghmeh Ghanooni, Waleed Mustafa, Dennis Wagner et al.
Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning
Kai Hu, Zhang Yu, Yuan Zhang et al.
OctoNet: A Large-Scale Multi-Modal Dataset for Human Activity Understanding Grounded in Motion-Captured 3D Pose Labels
Dongsheng Yuan, Xie Zhang, Weiying Hou et al.
FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing
Binrui Shen, LiangYuan, Shengxin Zhu
Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling
Shuhong Zheng, Ashkan Mirzaei, Igor Gilitschenski
Simple and Effective Specialized Representations for Fair Classifiers
Alberto Sinigaglia, Davide Sartor, Marina Ceccon et al.
Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling
Nguyen Phuc, Ngoc-Hieu Nguyen, Duy M. H. Nguyen et al.
Quantifying Uncertainty in Error Consistency: Towards Reliable Behavioral Comparison of Classifiers
Thomas Klein, Sascha Meyen, Wieland Brendel et al.
DiCoFlex: Model-Agnostic Diverse Counterfactuals with Flexible Control
Oleksii Furman, Ulvi Movsum-zada, Patryk Marszałek et al.
VTON-VLLM: Aligning Virtual Try-On Models with Human Preferences
Siqi Wan, Jingwen Chen, Qi Cai et al.
DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models
Komal Kumar, Rao Anwer, Fahad Shahbaz Khan et al.
Thompson Sampling in Function Spaces via Neural Operators
Rafael Oliveira, Xuesong Wang, Kian Ming Chai et al.
R1-ShareVL: Incentivizing Reasoning Capabilities of Multimodal Large Language Models via Share-GRPO
Huanjin Yao, Qixiang Yin, Jingyi Zhang et al.
FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation
Fan Yang, Yousong Zhu, Xin Li et al.
Generalization vs Specialization under Concept Shift
Alex Nguyen, David Schwab, Vudtiwat Ngampruetikorn
On the Sample Complexity of Differentially Private Policy Optimization
Yi He, Xingyu Zhou
Towards a General Attention Framework on Gyrovector Spaces for Matrix Manifolds
Rui Wang, Chen Hu, Xiaoning Song et al.
Cameras as Relative Positional Encoding
Ruilong Li, Brent Yi, Junchen Liu et al.
Principled Long-Tailed Generative Modeling via Diffusion Models
Pranoy Das, Kexin Fu, Abolfazl Hashemi et al.
Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context
Taejong Joo, Diego Klabjan
FEEDBACK FRICTION: LLMs Struggle to Fully Incorporate External Feedback
Dongwei Jiang, Bowei Zhang, Andrew Wang et al.
Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing
Eunbyeol Cho, Jiyoun Kim, Minjae Lee et al.
Graphs Help Graphs: Multi-Agent Graph Socialized Learning
Jialu Li, Yu Wang, Pengfei Zhu et al.
Integration Matters for Learning PDEs with Backwards SDEs
Sungje Park, Stephen Tu
Differentiable Structure Learning and Causal Discovery for General Binary Data
Chang Deng, Bryon Aragam
Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach
Dandan Liang, Jianing Zhang, Evan Chen et al.
DSRF: A Dynamic and Scalable Reasoning Framework for Solving RPMs
Chengtai Li, Yuting He, Jianfeng Ren et al.
Geometric Learning with Positively Decomposable Kernels
Nathael Da Costa, Cyrus Mostajeran, Juan-Pablo Ortega et al.
Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits
Weixin Chen, Han Zhao
Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models
Chenhang Cui, Gelei Deng, An Zhang et al.
Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning
Feng Chen, Allan Raventós, Nan Cheng et al.
ICLScan: Detecting Backdoors in Black-Box Large Language Models via Targeted In-context Illumination
Xiaoyi Pang, Xuanyi Hao, Song Guo et al.
RLVR-World: Training World Models with Reinforcement Learning
Jialong Wu, Shaofeng Yin, Ningya Feng et al.
$\mu$PC: Scaling Predictive Coding to 100+ Layer Networks
Francesco Innocenti, El Mehdi Achour, Christopher L Buckley
Diffusion on Demand: Selective Caching and Modulation for Efficient Generation
Hee Min Choi, Hyoa Kang, Dokwan Oh et al.
World Models Should Prioritize the Unification of Physical and Social Dynamics
Xiaoyuan Zhang, Chengdong Ma, Yizhe Huang et al.
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
Dongyuan Li, Shiyin Tan, Ying Zhang et al.
Exploring and Leveraging Class Vectors for Classifier Editing
Jaeik Kim, Jaeyoung Do
Normal-Abnormal Guided Generalist Anomaly Detection
Yuexin Wang, Xiaolei Wang, Yizheng Gong et al.
Don't be lazy: CompleteP enables compute-efficient deep transformers
Nolan Dey, Bin Zhang, Lorenzo Noci et al.
Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks
Hang Yu, Lyumin Wu, Wenxin Zhou et al.
Generalized Top-k Mallows Model for Ranked Choices
Shahrzad Haddadan, Sara Ahmadian
Multimodal 3D Genome Pre-training
Minghao Yang, Pengteng Li, Yan Liang et al.
Martian World Model: Controllable Video Synthesis with Physically Accurate 3D Reconstructions
Longfei Li, Zhiwen Fan, Wenyan Cong et al.
REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning
Shuguang Wang, Qian Zhou, Kui Wu et al.
Position: Bridge the Gaps between Machine Unlearning and AI Regulation
Bill Marino, Meghdad Kurmanji, Nicholas Lane
A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis
Dongheng Lin, Mengxue Qu, Kunyang Han et al.
Efficient Spectral Control of Partially Observed Linear Dynamical Systems
Anand Brahmbhatt, Gon Buzaglo, Sofiia Druchyna et al.
Optimizing Anytime Reasoning via Budget Relative Policy Optimization
Penghui Qi, Zichen Liu, Tianyu Pang et al.
Simultaneous Statistical Inference for Off-Policy Evaluation in Reinforcement Learning
Tianpai Luo, Xinyuan Fan, Weichi Wu
CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop
Weijian Ma, Shizhao Sun, Ruiyu Wang et al.
ModHiFi: Identifying High Fidelity predictive components for Model Modification
Dhruva Kashyap, Chaitanya Murti, Pranav K Nayak et al.
Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models
Tomas Soucek, Sylvestre-Alvise Rebuffi, Pierre Fernandez et al.
Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models
Junhao Dong, Cong Zhang, Xinghua Qu et al.
Advancing Interpretability of CLIP Representations with Concept Surrogate Model
Nhat Hoang-Xuan, Xiyuan Wei, Wanli Xing et al.
Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting
Jiaming Ma, Binwu Wang, Guanjun Wang et al.
Discovering Symbolic Partial Differential Equation by Abductive Learning
En-Hao Gao, Cunjing Ge, Yuan Jiang et al.
VLM in a flash: I/O-Efficient Sparsification of Vision-Language Model via Neuron Chunking
Kichang Yang, Seonjun Kim, Minjae Kim et al.
When Do Transformers Outperform Feedforward and Recurrent Networks? A Statistical Perspective
Alireza Mousavi-Hosseini, Clayton Sanford, Denny Wu et al.
Steering Information Utility in Key-Value Memory for Language Model Post-Training
Chunyuan Deng, Ruidi Chang, Hanjie Chen
Imitation Beyond Expectation Using Pluralistic Stochastic Dominance
Ali Farajzadeh, Danyal Saeed, Syed M Abbas et al.
Exploiting Dynamic Sparsity in Einsum
Christoph Staudt, Mark Blacher, Tim Hoffmann et al.
Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models
Yue Xu, Chengyan Fu, Li Xiong et al.
LithoSim: A Large, Holistic Lithography Simulation Benchmark for AI-Driven Semiconductor Manufacturing
Hongquan He, Zhen Wang, Jingya Wang et al.
Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator
Jianze Li, Jiezhang Cao, Zichen Zou et al.
Inference-Time Personalized Alignment with a Few User Preference Queries
Victor-Alexandru Pădurean, Parameswaran Kamalaruban, Nachiket Kotalwar et al.
Planning without Search: Refining Frontier LLMs with Offline Goal-Conditioned RL
Joey Hong, Anca Dragan, Sergey Levine
Object-centric 3D Motion Field for Robot Learning from Human Videos
Zhao-Heng Yin, Sherry Yang, Pieter Abbeel
Robust and Diverse Multi-Agent Learning via Rational Policy Gradient
Niklas Lauffer, Ameesh Shah, Micah Carroll et al.
Interaction-Centric Knowledge Infusion and Transfer for Open Vocabulary Scene Graph Generation
Lin Li, Chuhan ZHANG, Dong Zhang et al.
Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty
Valia Efthymiou, Chara Podimata, Diptangshu Sen et al.
DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition
Donghao Luo, Xue Wang
AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models
Seunghoon Lee, Jeongwoo Choi, Byunggwan Son et al.
MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry Diagnosis
Mengxi Xiao, Ben Liu, He Li et al.
Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation
Abdelrahman Eldesokey, Aleksandar Cvejić, Bernard Ghanem et al.
TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
Yushan Jiang, Wenchao Yu, Geon Lee et al.
Mechanistic Interpretability of RNNs emulating Hidden Markov Models
Elia Torre, Michele Viscione, Lucas Pompe et al.
HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation
Ling Yang, Xinchen Zhang, Ye Tian et al.
Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion
Qijun Luo, Yifei Shen, Liangzu Peng et al.
When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding
Yan Shu, Hangui Lin, Yexin Liu et al.
Product Distribution Learning with Imperfect Advice
Arnab Bhattacharyya, XianJun, Davin Choo, Philips George John et al.
NavBench: Probing Multimodal Large Language Models for Embodied Navigation
Yanyuan Qiao, Haodong Hong, Wenqi Lyu et al.
STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning
Yao Luan, Ni Mu, Yiqin Yang et al.
TEMPO: Temporal Multi-scale Autoregressive Generation of Protein Conformational Ensembles
Yaoyao Xu, Di Wang, Zihan Zhou et al.
Differentially Private Relational Learning with Entity-level Privacy Guarantees
Yinan Huang, Haoteng Yin, Eli Chien et al.
Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming
Zhen Zhang, Bingsheng He