Most Cited NEURIPS "human-aligned evaluation" Papers
5,858 papers found • Page 15 of 30
Conference
Document Summarization with Conformal Importance Guarantees
Bruce Kuwahara, Chen-Yuan Lin, Xiao Shi Huang et al.
Multivariate Time Series Anomaly Detection with Idempotent Reconstruction
Xin Sun, Heng Zhou, Chao Li
Aligning Transformers with Continuous Feedback via Energy Rank Alignment
Shriram Chennakesavalu, Frank Hu, Sebastian Ibarraran et al.
Learning with Restricted Boltzmann Machines: Asymptotics of AMP and GD in High Dimensions
Yizhou Xu, Florent Krzakala, Lenka Zdeborová
Preference-Based Dynamic Ranking Structure Recognition
Nan Lu, Jian Shi, Xinyu Tian
A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation
Qichao Cao, Shangzhi Zeng, Jin Zhang
SpaceServe: Spatial Multiplexing of Complementary Encoders and Decoders for Multimodal LLMs
zhicheng li, Shuoming Zhang, Jiacheng Zhao et al.
Latent Harmony: Synergistic Unified UHD Image Restoration via Latent Space Regularization and Controllable Refinement
Yidi Liu, Xueyang Fu, Jie Huang et al.
CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation
Marc Lafon, Gustavo Vargas Hakim, Clément Rambour et al.
In-context Learning of Linear Dynamical Systems with Transformers: Approximation Bounds and Depth-separation
Frank Cole, Yuxuan Zhao, Yulong Lu et al.
HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning
Chuhao Zhou, Jianfei Yang
MiCo: Multi-image Contrast for Reinforcement Visual Reasoning
Xi Chen, Mingkang Zhu, Shaoteng Liu et al.
How Patterns Dictate Learnability in Sequential Data
Mario Morawski, Anaïs Després, Remi Rehm
Model-Informed Flows for Bayesian Inference
Joohwan Ko, Justin Domke
Regression Trees Know Calculus
Nathan Wycoff
UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems
Tingzhu Bi, Yicheng Pan, Xinrui Jiang et al.
The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs?
Hao Yin, Guangzong Si, Zilei Wang
Salient Concept-Aware Generative Data Augmentation
Tianchen Zhao, Xuanbai Chen, Zhihua Li et al.
From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling
Marien Renaud, Valentin De Bortoli, Arthur Leclaire et al.
Generating Creative Chess Puzzles
Xidong Feng, Vivek Veeriah, Marcus Chiam et al.
What Can RL Bring to VLA Generalization? An Empirical Study
Jijia Liu, Feng Gao, Bingwen Wei et al.
Segment Anything Model Meets Semi-supervised Medical Image Segmentation: A Novel Perspective
Haifeng Zhao, Haiyang Li, Lei-Lei Ma et al.
Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
Zichen Wang, Haoyang Hong, Chuanhao Li et al.
From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy
Feng He, Guodong Tan, Qiankun Li et al.
Adaptive Gradient Masking for Balancing ID and MLLM-based Representations in Recommendation
Yidong Wu, Siyuan Chen, Binrui Wu et al.
Dependency Parsing is More Parameter-Efficient with Normalization
Paolo Gajo, Domenic Rosati, Hassan Sajjad et al.
MaintainCoder: Maintainable Code Generation Under Dynamic Requirements
Zhengren Wang, Rui ling, Chufan Wang et al.
Certifying Deep Network Risks and Individual Predictions with PAC-Bayes Loss via Localized Priors
Wen Dong
CURE: Co-Evolving Coders and Unit Testers via Reinforcement Learning
Yinjie Wang, Ling Yang, Ye Tian et al.
Multiscale guidance of protein structure prediction with heterogeneous cryo-EM data
Rishwanth Raghu, Axel Levy, Gordon Wetzstein et al.
RAPID Hand: Robust, Affordable, Perception-Integrated, Dexterous Manipulation Platfrom for Embodied Intelligence
Zhaoliang Wan, Zetong Bi, Zida Zhou et al.
RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across Domains
Tianle Pu, Zijie Geng, Haoyang Liu et al.
Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework
Yujie Xing, Xiao Wang, Bin Wu et al.
Multi-scale Temporal Prediction via Incremental Generation and Multi-agent Collaboration
Zhitao Zeng, Guojian Yuan, Junyuan Mao et al.
Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning
Haolin Pan, Hongyu Lin, Haoran Luo et al.
RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation
Xingliang Wang, Zemin Liu, Junxiao Han et al.
Graph Persistence goes Spectral
Mattie Ji, Amauri Souza, Vikas Garg
Robust learning of halfspaces under log-concave marginals
Jane Lange, Arsen Vasilyan
Globally Optimal Policy Gradient Algorithms for Reinforcement Learning with PID Control Policies
Vipul Sharma, Wesley Suttle, S Sivaranjani
Why Playing Against Diverse and Challenging Opponents Speeds Up Coevolution: A Theoretical Analysis on Combinatorial Games
Alistair Benford, Per Kristian Lehre
Fuz-RL: A Fuzzy-Guided Robust Framework for Safe Reinforcement Learning under Uncertainty
Xu Wan, Chao Yang, Cheng Yang et al.
MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation
Ziru Wang, Mengmeng Wang, Guang Dai et al.
SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding
Malyaban Bal, Brian Matejek, Susmit Jha et al.
Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations
Olawale Salaudeen, Haoran Zhang, Kumail Alhamoud et al.
Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions
Guoji Fu, Wee Sun Lee
Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency
Van-Anh Nguyen, Trung Le, Mehrtash Harandi et al.
DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging
Felix Wagner, Pramit Saha, Harry Anthony et al.
MMaDA: Multimodal Large Diffusion Language Models
Ling Yang, Ye Tian, Bowen Li et al.
3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model
Wenbo Hu, Yining Hong, Yanjun Wang et al.
Visual Diversity and Region-aware Prompt Learning for Zero-shot HOI Detection
Chanhyeong Yang, Taehoon song, Jihwan Park et al.
HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations
Junxi Xiao, Qinliang Su, Zexin Yuan
Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
Xiaoxue Cheng, Junyi Li, Zhenduo Zhang et al.
Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space
Mingyang Yi, Bohan Wang
Word-Level Emotional Expression Control in Zero-Shot Text-to-Speech Synthesis
Tianrui Wang, Haoyu Wang, Meng Ge et al.
Uncertainty Estimation by Flexible Evidential Deep Learning
Taeseong Yoon, Heeyoung Kim
TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE
Yifeng Peng, Xinyi Li, Samuel Yen-Chi Chen et al.
Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity
Victor Li, Baiting Chen, Yuzhen Mao et al.
LayerNavigator: Finding Promising Intervention Layers for Efficient Activation Steering in Large Language Models
Hao Sun, Huailiang Peng, Qiong Dai et al.
MOSDT: Self-Distillation-Based Decision Transformer for Multi-Agent Offline Safe Reinforcement Learning
Yuchen Xia, Yunjian Xu
Generative Perception of Shape and Material from Differential Motion
Xinran Han, Ko Nishino, Todd Zickler
Sequential Attention-based Sampling for Histopathological Analysis
Tarun Gogisetty, Naman Malpani, Gugan Chandrashekhar Mallika Thoppe et al.
Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations
Panqi Chen, Yifan Sun, Lei Cheng et al.
Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations
Ansong Ni, Ruta Desai, Yang Li et al.
Adjoint Schrödinger Bridge Sampler
Guan-Horng Liu, Jaemoo Choi, Yongxin Chen et al.
On Optimal Steering to Achieve Exact Fairness
mohit sharma, Amit Deshpande, Chiranjib Bhattacharyya et al.
Beyond Prediction: Managing the Repercussions of Machine Learning Applications
Aline Weber, Blossom Metevier, Yuriy Brun et al.
Sparse Image Synthesis via Joint Latent and RoI Flow
Ziteng Gao, Jay Zhangjie Wu, Mike Zheng Shou
Multidimensional Bayesian Utility Maximization: Tight Approximations to Welfare
Kira Goldner, Taylor Lundy
An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise
Johanna Düngler, Amartya Sanyal
Risk-Averse Constrained Reinforcement Learning with Optimized Certainty Equivalents
Jane Lee, Baturay Saglam, Spyridon Pougkakiotis et al.
Infrequent Exploration in Linear Bandits
Harin Lee, Min-hwan Oh
Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models
Ling Li, Yao Zhou, Yuxuan Liang et al.
A Few Moments Please: Scalable Graphon Learning via Moment Matching
Reza Ramezanpour, Victor Manuel Tenorio Gomez, Antonio G. Marques et al.
Wasserstein Convergence of Critically Damped Langevin Diffusions
Stanislas Strasman, Sobihan Surendran, Claire Boyer et al.
VividFace: A Robost and High-Fidelity Video Face Swapping Framework
Hao Shao, Shulun Wang, Yang Zhou et al.
Non-Convex Tensor Recovery from Tube-Wise Sensing
Tongle Wu, Ying Sun
PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models
Tonglong Wei, Yan Lin, Youfang Lin et al.
Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts
Haizhong Zheng, Yang Zhou, Brian Bartoldson et al.
Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models
Dar-Yen Chen, Hmrishav Bandyopadhyay, Kai Zou et al.
DeepHalo: A Neural Choice Model with Controllable Context Effects
Shuhan Zhang, Zhi Wang, Rui Gao et al.
Low-Rank Graphon Learning for Networks
Xinyuan Fan, Feiyan Ma, Chenlei Leng et al.
Synthetic Series-Symbol Data Generation for Time Series Foundation Models
Wenxuan Wang, Kai Wu, yujian li et al.
DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models
Simone Carnemolla, Matteo Pennisi, Sarinda Samarasinghe et al.
RNNs perform task computations by dynamically warping neural representations
Arthur Pellegrino, Angus Chadwick
Curl Descent : Non-Gradient Learning Dynamics with Sign-Diverse Plasticity
Hugo Ninou, Jonathan Kadmon, N Alex Cayco Gajic
Path-Enhanced Contrastive Learning for Recommendation
Haoran Sun, Fei Xiong, Yuanzhe Hu et al.
LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas
Yun Hua, Shang Gao, Wenhao Li et al.
Text-to-Code Generation for Modular Building Layouts in Building Information Modeling
YINYI WEI, Xiao LI
Informed Initialization for Bayesian Optimization and Active Learning
Carl Hvarfner, David Eriksson, Eytan Bakshy et al.
A Pre-training Framework for Relational Data with Information-theoretic Principles
Quang Truong, Zhikai Chen, Mingxuan Ju et al.
HopaDIFF: Holistic-Partial Aware Fourier Conditioned Diffusion for Referring Human Action Segmentation in Multi-Person Scenarios
Kunyu Peng, Junchao Huang, Xiangsheng Huang et al.
Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis
Hengyuan Cao, Yutong Feng, Biao Gong et al.
Randomized-MLP Regularization Improves Domain Adaptation and Interpretability in DINOv2
Joel Valdivia Ortega, Lorenz Lamm, Franziska Eckardt et al.
DAPO : Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage-Based Policy Optimization
Jiacai Liu, Chaojie Wang, Chris Liu et al.
On Group Sufficiency Under Label Bias
Haoran Zhang, Olawale Salaudeen, Marzyeh Ghassemi
Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning
Chaoyang Li, Runze Ye, Jianyang Qin et al.
Smooth Regularization for Efficient Video Recognition
Gil Goldman, Raja Giryes, Mahadev Satyanarayanan
Omnidirectional 3D Scene Reconstruction from Single Image
Ren Yang, Jiahao Li, Yan Lu
Performative Validity of Recourse Explanations
Gunnar König, Hidde Fokkema, Timo Freiesleben et al.
LLM-DAMVC: A Large Language Model Assisted Dynamic Agent for Multi-View Clustering
Qianqian Wang, Qianqian Wang
Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
Mohammad Saleh Refahi, Mahdi Abavisani, Bahrad Sokhansanj et al.
Robust Cross-modal Alignment Learning for Cross-Scene Spatial Reasoning and Grounding
Yanglin Feng, Hongyuan Zhu, Dezhong Peng et al.
Multimodal Causal Reasoning for UAV Object Detection
Nianxin Li, Mao Ye, Lihua Zhou et al.
Analogy-based Multi-Turn Jailbreak against Large Language Models
Mengjie Wu, Yihao Huang, Zhenjun Lin et al.
Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks
Ashley Kurian, Aydin Aysu
ARMesh: Autoregressive Mesh Generation via Next-Level-of-Detail Prediction
Jiabao Lei, Kewei Shi, Zhihao Liang et al.
GUARD: Constructing Realistic Two-Player Matrix and Security Games for Benchmarking Game-Theoretic Algorithms
Noah Krever, Jakub Cerny, Moise Blanchard et al.
Policy Compatible Skill Incremental Learning via Lazy Learning Interface
Daehee Lee, Dongsu Lee, TaeYoon Kwack et al.
A Latent Multilayer Graphical Model For Complex, Interdependent Systems
Martin Ondrus, Ivor Cribben, Yang Feng
Is Limited Participant Diversity Impeding EEG-based Machine Learning?
Philipp Bomatter, Henry Gouk
Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity
Pierre Houédry, Nicolas Courty, Florestan Martin-Baillon et al.
GeoRemover: Removing Objects and Their Causal Visual Artifacts
Zixin Zhu, Haoxiang Li, Xuelu Feng et al.
Role Bias in Diffusion Models: Diagnosing and Mitigating through Intermediate Decomposition
Sina Malakouti, Adriana Kovashka
Reasoning is Periodicity? Improving Large Language Models Through Effective Periodicity Modeling
Yihong Dong, Ge Li, Xue Jiang et al.
Solving and Learning Partial Differential Equations with Variational Q-Exponential Processes
Guangting Yu, Shiwei Lan
Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
Harsh Poonia, Felix Divo, Kristian Kersting et al.
A Novel General Framework for Sharp Lower Bounds in Succinct Stochastic Bandits
Guo Zeng, Jean Honorio
SIFusion: A Unified Fusion Framework for Multi-granularity Arctic Sea Ice Forecasting
Jingyi Xu, Shengnan Wang, Weidong Yang et al.
E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products
Yunyang Li, Lin Huang, Zhihao Ding et al.
Continuous Thought Machines
Luke Darlow, Ciaran Regan, Sebastian Risi et al.
Functional Complexity-adaptive Temporal Tensor Decomposition
Panqi Chen, Lei Cheng, Jianlong Li et al.
Asymptotic theory of SGD with a general learning-rate
Or Goldreich, Ziyang Wei, SOHAM BONNERJEE et al.
Attention with Trained Embeddings Provably Selects Important Tokens
Diyuan Wu, Aleksandr Shevchenko, Samet Oymak et al.
Interpreting vision transformers via residual replacement model
Jinyeong Kim, Junhyeok Kim, Yumin Shim et al.
FlexAC: Towards Flexible Control of Associative Reasoning in Multimodal Large Language Models
shengming yuan, Xinyu Lyu, Shuailong Wang et al.
Differentiable Hierarchical Visual Tokenization
Marius Aasan, Martine Hjelkrem Tan, Nico Catalano et al.
Holistic Order Prediction in Natural Scenes
Pierre Musacchio, Hyunmin Lee, Jaesik Park
Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity
Pengqi Li, Lizhong Ding, Jiarun Fu et al.
Bridging Brains and Concepts: Interpretable Visual Decoding from fMRI with Semantic Bottlenecks
Sara Cammarota, Matteo Ferrante, Nicola Toschi
More effort is needed to protect pedestrian privacy in the era of AI
Xingchen Zhang, Zixian Zhao
Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations
Jiabin Lin, Shana Moothedath
AlphaBeta is not as good as you think: a simple random games model for a better analysis of deterministic game-solving algorithms
Raphael Boige, Amine Boumaza, Bruno Scherrer
Activity Pruning for Efficient Spiking Neural Networks
Tong Bu, Xinyu Shi, Zhaofei Yu
One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling
Nimrod Berman, Ilan Naiman, Moshe Eliasof et al.
Coarse-to-Fine 3D Part Assembly via Semantic Super-Parts and Symmetry-Aware Pose Estimation
Xinyi Zhang, Bingyang Wei, Ruixuan Yu et al.
Metis: A Foundation Speech Generation Model with Masked Generative Pre-training
Yuancheng Wang, Jiachen Zheng, Junan Zhang et al.
Revisiting Semi-Supervised Learning in the Era of Foundation Models
Ping Zhang, Zheda Mai, Quang-Huy (Percy) Nguyen et al.
Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark
Jinyuan Liu, Zihang Chen, Zhu Liu et al.
CAS-Spec: Cascade Adaptive Self-Speculative Decoding for On-the-Fly Lossless Inference Acceleration of LLMs
Zhiyuan Ning, Jiawei Shao, Ruge Xu et al.
Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning
Julian Minder, Clément Dumas, Caden Juang et al.
Generalizable Insights for Graph Transformers in Theory and Practice
Timo Stoll, Luis Müller, Christopher Morris
4D-VLA: Spatiotemporal Vision-Language-Action Pretraining with Cross-Scene Calibration
Jiahui Zhang, Yurui Chen, Yueming Xu et al.
Fisher meets Feynman: score-based variational inference with a product of experts
Diana Cai, Robert Gower, David Blei et al.
DiffLiG: Diffusion-enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction
Yuxiang Li, Yang Zhang, Li et al.
On Linear Mode Connectivity of Mixture-of-Experts Architectures
Viet-Hoang Tran, Van Hoan Trinh, Khanh-Vinh Bui et al.
MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification
Junjie Zhou, WEI SHAO, Yagao Yue et al.
Prompt Tuning Decision Transformers with Structured and Scalable Bandits
Finn Rietz, Oleg Smirnov, Sara Karimi et al.
Novel Exploration via Orthogonality
Andreas Theophilou, Özgür Şimşek
Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation
Feichen Gan, Lu Youcun, Yingying Zhang et al.
Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints
Abhishek Sinha, Rahul Vaze
Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning
Pengxiang Li, Zhi Gao, Bofei Zhang et al.
Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models
Aleksandar Terzic, Nicolas Menet, Michael Hersche et al.
EvolvedGRPO: Unlocking Reasoning in LVLMs via Progressive Instruction Evolution
Zhebei Shen, Qifan Yu, Juncheng Li et al.
RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
Runze Ma, Zhongyue Zhang, Zichen Wang et al.
The Future Unmarked: Watermark Removal in AI-Generated Images via Next-Frame Prediction
Huming Qiu, Zhaoxiang Wang, Mi Zhang et al.
TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting
Jaebin Lee, Hankook Lee
Spectral Conditioning of Attention Improves Transformer Performance
Hemanth Saratchandran, Simon Lucey
Learning-Augmented Streaming Algorithms for Correlation Clustering
Yinhao Dong, Shan Jiang, Shi Li et al.
Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation
Mingyang Liu, Xinyang Chen, Xiucheng Li et al.
Alias-Free ViT: Fractional Shift Invariance via Linear Attention
Hagay Michaeli, Daniel Soudry
Fair Cooperation in Mixed-Motive Games via Conflict-Aware Gradient Adjustment
Woojun Kim, Katia Sycara
Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption
Longxiang He, Deheng Ye, Junbo Tan et al.
DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm
Xiaowei Zhu, Yubing Ren, Fang Fang et al.
Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps
Haibo Jin, Peiyan Zhang, Man Luo et al.
Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback
Ofir Schlisselberg, Tal Lancewicki, Peter Auer et al.
Execution Guided Line-by-Line Code Generation
Boaz Lavon, Shahar Katz, Lior Wolf
Data-Free Model Extraction for Black-box Recommender Systems via Graph Convolutions
Zeyu Wang, Yidan Song, Shihao Qin et al.
Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models
Chenrui Cao, Liangcheng Song, Zenan Li et al.
QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction
Sicheng Zuo, Wenzhao Zheng, Xiaoyong Han et al.
PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
Mingqi Wu, Qiang Sun, Archer Yang
Coresets for Clustering Under Stochastic Noise
Lingxiao Huang, Zhize Li, Nisheeth K. Vishnoi et al.
Enforcing convex constraints in Graph Neural Networks
Ahmed Rashwan, Keith Briggs, Chris Budd et al.
Multi-Modal Interactive Agent Layer for Few-Shot Universal Cross-Domain Retrieval and Beyond
Kaixiang Chen, Pengfei Fang, hui xue
Towards a Golden Classifier-Free Guidance Path via Foresight Fixed Point Iterations
Kaibo Wang, Jianda Mao, Tong Wu et al.
JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models
Jiaxin Song, Yixu Wang, Jie Li et al.
Less is More: Improving LLM Alignment via Preference Data Selection
Xun Deng, Han Zhong, Rui Ai et al.
CLAWS:Creativity detection for LLM-generated solutions using Attention Window of Sections
Keuntae Kim, Eunhye Jeong, Sehyeon Lee et al.
Adversarial generalization of unfolding (model-based) networks
Vicky Kouni
IneqSearch: Hybrid Reasoning for Olympiad Inequality Proofs
Zhaoqun Li, Beishui Liao, Qiwei Ye
Practical Kernel Selection for Kernel-based Conditional Independence Test
Wenjie Wang, Mingming Gong, Biwei Huang et al.
Simulating Viva Voce Examinations to Evaluate Clinical Reasoning in Large Language Models
Christopher Chiu, Silviu Pitis, Mihaela van der Schaar
FedLPA: Local Prior Alignment for Heterogeneous Federated Generalized Category Discovery
Geeho Kim, Jinu Lee, Bohyung Han
Interpretable and Parameter Efficient Graph Neural Additive Models with Random Fourier Features
Thummaluru Siddartha Reddy, Vempalli Naga Sai Saketh, Mahesh Chandran
Spectral Analysis of Diffusion Models with Application to Schedule Design
Roi Benita, Miki Elad, Joseph Keshet
Enhanced Expert Merging for Mixture-of-Experts in Graph Foundation Models
Lei Liu, Xingyu Xia, Qianqian Xie et al.
Learning Human-Object Interaction as Groups
Jiajun Hong, Jianan Wei, Wenguan Wang
Rethinking Out-of-Distribution Detection and Generalization with Collective Behavior Dynamics
Zhenbin Wang, Lei Zhang, Wei Huang et al.
Price of Parsimony: Complexity of Fourier Sparsity Testing
Arijit Ghosh, Manmatha Roy
Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation
Xiang Fang, Wanlong Fang, Changshuo Wang
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections
Wei Zhuo, Zhaohuan Zhan, Han Yu
Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
Dong Bok Lee, Aoxuan Zhang, Byungjoo Kim et al.
Vulnerable Data-Aware Adversarial Training
Yuqi Feng, Jiahao Fan, Yanan Sun
Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning
Ruilin Tong, Haodong Lu, Yuhang Liu et al.
Revising and Falsifying Sparse Autoencoder Feature Explanations
George Ma, Samuel Pfrommer, Somayeh Sojoudi
Graph–Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry
Masanari Kimura
Transformers Learn Faster with Semantic Focus
Parikshit Ram, Kenneth Clarkson, Tim Klinger et al.
DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration
Hebaixu Wang, Jing Zhang, Haonan Guo et al.
Jury-and-Judge Chain-of-Thought for Uncovering Toxic Data in 3D Visual Grounding
Kaixiang Huang, Qifeng Zhang, Jin Wang et al.
HumanCrafter: Synergizing Generalizable Human Reconstruction and Semantic 3D Segmentation
Panwang Pan, Tingting Shen, Chenxin Li et al.
ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection
Tao Yin, Shaochen Fu, Zhibin Zhang et al.