Most Cited NEURIPS "structural consistency enforcement" Papers
5,858 papers found • Page 13 of 30
Conference
Probing Hidden Knowledge Holes in Unlearned LLMs
Myeongseob Ko, Hoang Anh Just, Charles Fleming et al.
ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism
Zedong Liu, Shenggan Cheng, Guangming Tan et al.
Towards Understanding Transformers in Learning Random Walks
Wei Shi, Yuan Cao
PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning
Xiaogang Jia, Qian Wang, Anrui Wang et al.
Investigating Hallucinations of Time Series Foundation Models through Signal Subspace Analysis
Yufeng Zou, Zijian Wang, Diego Klabjan et al.
The Emergence of Abstract Thought in Large Language Models Beyond Any Language
Yuxin Chen, Yiran Zhao, Yang Zhang et al.
DroneAudioset: An Audio Dataset for Drone-based Search and Rescue
Chitralekha Gupta, Soundarya Ramesh, Praveen Sasikumar et al.
Bridging Expressivity and Scalability with Adaptive Unitary SSMs
Arjun Karuvally, Franz Nowak, Andy Keller et al.
Energy Landscape-Aware Vision Transformers: Layerwise Dynamics and Adaptive Task-Specific Training via Hopfield States
Runze Xia, Richard Jiang
Online Optimization for Offline Safe Reinforcement Learning
Yassine Chemingui, Aryan Deshwal, Alan Fern et al.
Dataset Distillation of 3D Point Clouds via Distribution Matching
Jae-Young Yim, Dongwook Kim, Jae-Young Sim
Selftok-Zero: Reinforcement Learning for Visual Generation via Discrete and Autoregressive Visual Tokens
Bohan Wang, Mingze Zhou, Zhongqi Yue et al.
PINNs with Learnable Quadrature
Sourav Pal, Kamyar Azizzadenesheli, Vikas Singh
Sequential Multi-Agent Dynamic Algorithm Configuration
Chen Lu, Ke Xue, Lei Yuan et al.
Symmetry-Preserving Conformer Ensemble Networks for Molecular Representation Learning
Yanqiao Zhu, Yidan Shi, Yuanzhou Chen et al.
SPMDM: Enhancing Masked Diffusion Models through Simplifing Sampling Path
Yichen Zhu, Weiyu Chen, James Kwok et al.
Hybrid Latent Representations for PDE Emulation
Ali Can Bekar, Siddhant Agarwal, Christian Hüttig et al.
PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions
TAOTAO JING, Tina Chen, Renran Tian et al.
HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses
Zhichao Deng, Zhikun Liu, Junxue Wang et al.
Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations
Xuyang Zhong, Yixiao Huang, Chen Liu
macOSWorld: A Multilingual Interactive Benchmark for GUI Agents
Pei Yang, Hai Ci, Mike Zheng Shou
Caption This, Reason That: VLMs Caught in the Middle
Zihan Weng, Lucas Gomez, Taylor Webb et al.
HeavyWater and SimplexWater: Distortion-free LLM Watermarks for Low-Entropy Distributions
Dor Tsur, Carol Long, Claudio Mayrink Verdun et al.
Bandit Guided Submodular Curriculum for Adaptive Subset Selection
Prateek Chanda, Prayas Agrawal, Saral Sureka et al.
IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals
Markus Gross, Aya Fahmy, Danit Niwattananan et al.
ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources
Jason Wu, Yuyang Yuan, Kang Yang et al.
Automaton Constrained Q-Learning
Anastasios Manganaris, Vittorio Giammarino, Ahmed Qureshi
The Structure of Relation Decoding Linear Operators in Large Language Models
Miranda Anna Christ, Adrián Csiszárik, Gergely Becsó et al.
Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
Ilias Diakonikolas, Chao Gao, Daniel Kane et al.
Mellow: a small audio language model for reasoning
Soham Deshmukh, Satvik Dixit, Rita Singh et al.
Adaptive Re-calibration Learning for Balanced Multimodal Intention Recognition
Qu Yang, Xiyang Li, Fu Lin et al.
POCO: Scalable Neural Forecasting through Population Conditioning
Yu Duan, Hamza Chaudhry, Misha B Ahrens et al.
Collapsing Taylor Mode Automatic Differentiation
Felix Dangel, Tim Siebert, Marius Zeinhofer et al.
FlowRefiner: A Robust Traffic Classification Framework against Label Noise
Mingwei Zhan, Ruijie Zhao, Xianwen Deng et al.
Two Heads are Better than One: Simulating Large Transformers with Small Ones
Hantao Yu, Josh Alman
Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching
Zhong Li, Qi Huang, Yuxuan Zhu et al.
Semi-infinite Nonconvex Constrained Min-Max Optimization
Cody Melcher, Zeinab Alizadeh, Lindsey Hiett et al.
GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning
Haolong Yan, Yeqing Shen, Xin Huang et al.
The Burden of Interactive Alignment with Inconsistent Preferences
Ali Shirali
Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations
Vivek Myers, Bill Zheng, Benjamin Eysenbach et al.
Contextual Dynamic Pricing with Heterogeneous Buyers
Thodoris Lykouris, Sloan Nietert, Princewill Okoroafor et al.
CHiQPM: Calibrated Hierarchical Interpretable Image Classification
Thomas Norrenbrock, Timo Kaiser, Sovan Biswas et al.
MiNT: Multi-Network Transfer Benchmark for Temporal Graph Learning
Kiarash Shamsi, Tran Gia Bao Ngo, Razieh Shirzadkhani et al.
Hamiltonian Neural PDE Solvers through Functional Approximation
Anthony Zhou, Amir Barati Farimani
CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices
XUCHEN FENG, Siyu Liao
Increasing the Utility of Synthetic Images through Chamfer Guidance
Nicola Dall'Asen, Xiaofeng Zhang, Reyhane Askari Hemmat et al.
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models
Guo Chen, Zhiqi Li, Shihao Wang et al.
Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares
Lachlan MacDonald, Hancheng Min, Leandro Palma et al.
Contextual Online Pricing with (Biased) Offline Data
Yixuan Zhang, Ruihao Zhu, Qiaomin Xie
Conformal Prediction for Time-series Forecasting with Change Points
Sophia Sun, Rose Yu
Learning-Augmented Algorithms for $k$-median via Online Learning
Anish Hebbar, Rong Ge, Amit Kumar et al.
Mitigating Semantic Collapse in Partially Relevant Video Retrieval
WonJun Moon, MinSeok Jung, Gilhan Park et al.
Skrull: Towards Efficient Long Context Fine-tuning through Dynamic Data Scheduling
Hongtao Xu, Wenting Shen, Yuanxin Wei et al.
HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions
Rafael Bischof, Michal Piovarci, Michael Kraus et al.
Whole-Body Conditioned Egocentric Video Prediction
Yutong Bai, Danny Tran, Amir Bar et al.
Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames
Ev Zisselman, Mirco Mutti, Shelly Francis-Meretzki et al.
Small Resamples, Sharp Guarantees: Convergence Rates for Resampled Studentized Quantile Estimators
Imon Banerjee, Sayak Chakrabarty
Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations
Zican Dong, Han Peng, Peiyu Liu et al.
Greedy Algorithms for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure
Aleksandrs Slivkins, Yunzong Xu, Shiliang Zuo
Multi-Agent Debate for LLM Judges with Adaptive Stability Detection
Tianyu Hu, Zhen Tan, Song Wang et al.
Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning
Younggyo Seo, Pieter Abbeel
InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning
Haotian Chi, Zeyu Feng, Yueming LYU et al.
Non-Line-of-Sight 3D Reconstruction with Radar
Haowen Lai, Zitong Lan, Mingmin Zhao
Learned Prefix Caching for Efficient LLM Inference
Dongsheng Yang, Austin Li, Kai Li et al.
A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
Anjie Liu, Jianhong Wang, Samuel Kaski et al.
Scalable Neural Network Geometric Robustness Validation via Hölder Optimisation
Yanghao Zhang, Panagiotis Kouvaros, Alessio Lomuscio
Adversary Aware Optimization for Robust Defense
Daniel Wesego, Pedram Rooshenas
Native Segmentation Vision Transformers
Guillem Brasó, Aljosa Osep, Laura Leal-Taixé
On Evaluating Policies for Robust POMDPs
Merlijn Krale, Eline M. Bovy, Maris F. L. Galesloot et al.
ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking
Lequan Lin, Dai Shi, Andi Han et al.
OPMapper: Enhancing Open-Vocabulary Semantic Segmentation with Multi-Guidance Information
Xuehui Wang, Chongjie Si, Xue Yang et al.
JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics
Yuanchuan Guo, Jun Liu, Huimin Cheng et al.
An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds
Siyu Chen, Theodor Misiakiewicz, Ilias Zadik et al.
PolyPose: Deformable 2D/3D Registration via Polyrigid Transformations
Vivek Gopalakrishnan, Neel Dey, Polina Golland
Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning
Yichen Li, Chicheng Zhang
SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
Elif Arslan, Jacobus van der Linden, Serge Hoogendoorn et al.
Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians
Akiyoshi Tomihari, Ryo Karakida
PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching
WANG Yun, Qiaole Dong, Yongjian Zhang et al.
Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression
Xi Zhang, Xiaolin Wu, Jiamang Wang et al.
SSRB: Direct Natural Language Querying to Massive Heterogeneous Semi-Structured Data
Xin Zhang, Mingxin Li, Yanzhao Zhang et al.
DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning
Yueyang Yuan, Wenke Huang, Guancheng Wan et al.
AneuG-Flow: A Large-Scale Synthetic Dataset of Diverse Intracranial Aneurysm Geometries and Hemodynamics
Wenhao Ding, Yiying Sheng, Simão de Castro et al.
Tackling Biased Evaluators in Dueling Bandits
Ming Tang, Yuxuan Zhou, Chao Huang
In-context Learning of Linear Dynamical Systems with Transformers: Approximation Bounds and Depth-separation
Frank Cole, Yuxuan Zhao, Yulong Lu et al.
How Patterns Dictate Learnability in Sequential Data
Mario Morawski, Anaïs Després, Remi Rehm
Minimax Adaptive Online Nonparametric Regression over Besov spaces
Paul Liautaud, Pierre Gaillard, Olivier Wintenberger
From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy
Feng He, Guodong Tan, Qiankun Li et al.
MaintainCoder: Maintainable Code Generation Under Dynamic Requirements
Zhengren Wang, Rui ling, Chufan Wang et al.
SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding
Malyaban Bal, Brian Matejek, Susmit Jha et al.
MOSDT: Self-Distillation-Based Decision Transformer for Multi-Agent Offline Safe Reinforcement Learning
Yuchen Xia, Yunjian Xu
An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models
Bo Peng, Jie Lu, Guangquan Zhang et al.
Vinci: Deep Thinking in Text-to-Image Generation using Unified Model with Reinforcement Learning
wang lin, Wentao Hu, Liyu Jia et al.
Adjoint Schrödinger Bridge Sampler
Guan-Horng Liu, Jaemoo Choi, Yongxin Chen et al.
Multidimensional Bayesian Utility Maximization: Tight Approximations to Welfare
Kira Goldner, Taylor Lundy
Infrequent Exploration in Linear Bandits
Harin Lee, Min-hwan Oh
A Few Moments Please: Scalable Graphon Learning via Moment Matching
Reza Ramezanpour, Victor Manuel Tenorio Gomez, Antonio G. Marques 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.
Randomized-MLP Regularization Improves Domain Adaptation and Interpretability in DINOv2
Joel Valdivia Ortega, Lorenz Lamm, Franziska Eckardt et al.
Bootstrap Your Uncertainty: Adaptive Robust Classification Driven by Optimal-Transport
Jiawei Huang, Minming Li, Hu Ding
Vicinal Label Supervision for Reliable Aleatoric and Epistemic Uncertainty Estimation
Linye Li, Yufei Chen, Xiaodong Yue
SIFusion: A Unified Fusion Framework for Multi-granularity Arctic Sea Ice Forecasting
Jingyi Xu, Shengnan Wang, Weidong Yang 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.
Metis: A Foundation Speech Generation Model with Masked Generative Pre-training
Yuancheng Wang, Jiachen Zheng, Junan Zhang et al.
On Linear Mode Connectivity of Mixture-of-Experts Architectures
Viet-Hoang Tran, Van Hoan Trinh, Khanh-Vinh Bui et al.
Statistical Analysis of an Adversarial Bayesian Weak Supervision Method
Steven An
Nonlinear Laplacians: Tunable principal component analysis under directional prior information
Yuxin Ma, Dmitriy Kunisky
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
Practical Kernel Selection for Kernel-based Conditional Independence Test
Wenjie Wang, Mingming Gong, Biwei Huang et al.
Coloring Learning for Heterophilic Graph Representation
Miaomiao Huang, Yuhai Zhao, Daniel Zhengkui Wang et al.
ProDAG: Projected Variational Inference for Directed Acyclic Graphs
Ryan Thompson, Edwin Bonilla, Robert Kohn
Fine-grained List-wise Alignment for Generative Medication Recommendation
Chenxiao Fan, Chongming Gao, Wentao Shi et al.
OpenMMEgo: Enhancing Egocentric Understanding for LMMs with Open Weights and Data
Hao Luo, Zihao Yue, Wanpeng Zhang et al.
Localizing Knowledge in Diffusion Transformers
Arman Zarei, Samyadeep Basu, Keivan Rezaei et al.
Joint Design of Protein Surface and Backbone Using a Diffusion Bridge Model
Guanlue Li, Xufeng Zhao, Fang Wu et al.
Improving planning and MBRL with temporally-extended actions
Palash Chatterjee, Roni Khardon
Rectifying Shortcut Behaviors in Preference-based Reward Learning
Wenqian Ye, Guangtao Zheng, Aidong Zhang
Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent
Christy Li, Josep Lopez Camuñas, Jake Touchet et al.
Rising from Ashes: Generalized Federated Learning via Dynamic Parameter Reset
Jiahao Wu, Ming Hu, Yanxin Yang et al.
ChatbotID: Identifying Chatbots with Granger Causality Test
Xiaoquan Yi, Haozhao Wang, Yining Qi et al.
X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability
Yu Yang, Alan Liang, Jianbiao Mei et al.
Constrained Discrete Diffusion
Michael Cardei, Jacob K Christopher, Bhavya Kailkhura et al.
Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning
Till Freihaut, Luca Viano, Volkan Cevher et al.
Model Reconciliation via Cost-Optimal Explanations in Probabilistic Logic Programming
Yinxu Tang, Stylianos Loukas Vasileiou, Vincent Derkinderen et al.
Building 3D Representations and Generating Motions From a Single Image via Video-Generation
Weiming Zhi, Ziyong Ma, Tianyi Zhang et al.
Theoretical Investigation of Adafactor for Non-Convex Smooth Optimization
Yusu Hong, Junhong Lin
Does Representation Guarantee Welfare?
Jakob de Raaij, Ariel Procaccia, Alexandros Psomas
GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction
Jiahe Li, Jiawei Zhang, Youmin Zhang et al.
WarpGAN: Warping-Guided 3D GAN Inversion with Style-Based Novel View Inpainting
Kaitao Huang, Yan Yan, Jing-Hao Xue et al.
Dynamic Focused Masking for Autoregressive Embodied Occupancy Prediction
Yuan Sun, Julio Contreras, Jorge Ortiz
Empowering Decision Trees via Shape Function Branching
Nakul Upadhya, Eldan Cohen
Epistemic Uncertainty Estimation in Regression Ensemble Models with Pairwise Epistemic Estimators
Lucas Berry, David Meger
Counterfactual Implicit Feedback Modeling
Chuan Zhou, Lina Yao, Haoxuan Li et al.
From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD
Konstantinos Tsiolis, Alireza Mousavi-Hosseini, Murat Erdogdu
Self-Challenging Language Model Agents
Yifei Zhou, Sergey Levine, Jason Weston et al.
SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer
Yarden As, Chengrui (Ray) Qu, Benjamin Unger et al.
Hadamard Test is Sufficient for Efficient Quantum Gradient Estimation with Lie Algebraic Symmetries
Mohsen Heidari, Masih Mozakka, Wojciech Szpankowski
Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies
Jing Wang, Weiting Peng, Jing Tang et al.
Extragradient Method for $(L_0, L_1)$-Lipschitz Root-finding Problems
Sayantan Choudhury, Nicolas Loizou
Bi-Directional Communication-Efficient Stochastic FL via Remote Source Generation
Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh et al.
Cross-modal Associations in Vision and Language Models: Revisiting the Bouba-Kiki Effect
Tom Kouwenhoven, Kiana Shahrasbi, Tessa Verhoef
CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization
Hoyoon Byun, Gyeongdeok Seo, Joonseong Kang et al.
MIND: Material Interface Generation from UDFs for Non-Manifold Surface Reconstruction
Xuhui Chen, Fei Hou, Wencheng Wang et al.
Disentangled Representation Learning via Modular Compositional Bias
whie jung, Dong Hoon Lee, Seunghoon Hong
ARECHO: Autoregressive Evaluation via Chain-Based Hypothesis Optimization for Speech Multi-Metric Estimation
Jiatong Shi, Yifan Cheng, Bo-Hao Su et al.
DeCaFlow: A deconfounding causal generative model
Alejandro Almodóvar, Adrián Javaloy, Juan Parras et al.
Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.
Time Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement Learning
Yunpeng Jiang, Jianshu Hu, Paul Weng et al.
Multimodal Negative Learning
Baoquan Gong, Xiyuan Gao, Pengfei Zhu et al.
HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs
Saleh Ashkboos, Mahdi Nikdan, Rush Tabesh et al.
DualFocus: Depth from Focus with Spatio-Focal Dual Variational Constraints
Sungmin Woo, Sangyoun Lee
SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes
Xuyuan Xiong, Pedro Chumpitaz-Flores, Kaixun Hua et al.
Single-Step Operator Learning for Conditioned Time-Series Diffusion Models
Hui Chen, Vikas Singh
Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
Kaixun Jiang, Zhaoyu Chen, HaiJing Guo et al.
UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents
Han Xiao, Guozhi Wang, Yuxiang Chai et al.
Bidirectional Representations Augmented Autoregressive Biological Sequence Generation: Application in De Novo Peptide Sequencing
Xiang Zhang, Jiaqi Wei, Zijie Qiu et al.
Fair Continuous Resource Allocation with Equality of Impact
Blossom Metevier, Dennis Wei, Karthikeyan Natesan Ramamurthy et al.
Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts
Chen Li, Huiying Xu, Changxin Gao et al.
Overcoming Challenges of Long-Horizon Prediction in Driving World Models
Arian Mousakhan, Sudhanshu Mittal, Silvio Galesso et al.
DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models
Cathy Jiao, Yijun Pan, Emily Xiao et al.
Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback
Jing Dong, Baoxiang Wang, Yaoliang Yu
Latency NMS Attacks: Is It Real Life or Is It Just Fantasy?
Jean-Philippe Monteuuis, Cong Chen, Jonathan Petit
PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling
Andrea Bonfanti, Ismael Medina, Roman List et al.
The Cost of Compression: Tight Quadratic Black-Box Attacks on Sketches for $\ell_2$ Norm Estimation
Sara Ahmadian, Edith Cohen, Uri Stemmer
URLs Help, Topics Guide: Understanding Metadata Utility in LLM Training
Dongyang Fan, Vinko Sabolčec, Martin Jaggi
The Good, the Bad and the Ugly: Meta-Analysis of Watermarks, Transferable Attacks and Adversarial Defenses
Greg Gluch, Berkant Turan, Sai Ganesh Nagarajan et al.
Approximate Domain Unlearning for Vision-Language Models
Kodai Kawamura, Yuta Goto, Rintaro Yanagi et al.
MI-TRQR: Mutual Information-Based Temporal Redundancy Quantification and Reduction for Energy-Efficient Spiking Neural Networks
Dengfeng Xue, Wenjuan Li, Yifan Lu et al.
DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization
Yunseon Choi, Minchan Jeong, Soobin Um et al.
Flash Invariant Point Attention
Andrew Liu, Axel Elaldi, Nicholas Franklin et al.
V-CECE: Visual Counterfactual Explanations via Conceptual Edits
Nikolaos Spanos, Maria Lymperaiou, Giorgos Filandrianos et al.
One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning
Zijian Guo, İlker Işık, H M Sabbir Ahmad et al.
Can Agent Fix Agent Issues?
Alfin Wijaya Rahardja, Junwei Liu, Weitong Chen et al.
GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
Xingbo Fu, Zhenyu Lei, Zihan Chen et al.
Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery
Jizhou Han, Shaokun Wang, Yuhang He et al.
BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning
Xuechen Zhang, Zijian Huang, Yingcong Li et al.
Scalable Exploration via Ensemble++
Yingru Li, Jiawei Xu, Baoxiang Wang et al.
E2E-VGuard: Adversarial Prevention for Production LLM-based End-To-End Speech Synthesis
Zhisheng Zhang, Derui Wang, Yifan Mi et al.
RobIA: Robust Instance-aware Continual Test-time Adaptation for Deep Stereo
Jueun Ko, Hyewon Park, Hyesong Choi et al.
DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization
YUANTIAN SHAO, Yuanteng Chen, Peisong Wang et al.
Towards Robust Uncertainty Calibration for Composed Image Retrieval
Yifan Wang, Wuliang Huang, Yufan Wen et al.
Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning
Vittorio Giammarino, Ruiqi Ni, Ahmed Qureshi
CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates
Tianyu Chen, Vansh Bansal, James Scott
Distributed mediation analysis with communication efficiency
Shaomin Li
Knowledge Distillation Detection for Open-weights Models
Qin Shi, Amber Yijia Zheng, Qifan Song et al.
An Ellipsoid Algorithm for Online Convex Optimization
Zakaria Mhammedi
Partial Correlation Network Estimation by Semismooth Newton Methods
DongWon Kim, Sungdong Lee, Joong-Ho (Johann) Won
Do Language Models Use Their Depth Efficiently?
Róbert Csordás, Christopher D Manning, Chris Potts
Continuous Domain Generalization
Zekun CAI, Yiheng YAO, Guangji Bai et al.
QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification
Qian Tang, Yuwen Gu, Boxiang Wang
ViSPLA: Visual Iterative Self-Prompting for Language-Guided 3D Affordance Learning
Hritam Basak, Zhaozheng Yin
Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning
Ankan Deria, Adinath Dukre, feilong tang et al.
BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity
Lucine L Oganesian, Saba Hashemi, Maryam Shanechi
Zero-Shot Blind-Spot Image Denoising via Cross-Scale Non-Local Pixel Refilling
Qilong Guo, Tianjing Zhang, Zhiyuan Ma et al.
Counterfactual Image Editing with Disentangled Causal Latent Space
Yushu Pan, Elias Bareinboim
Asymmetric Dual-Lens Video Deblurring
Zeyu Xiao, Xinchao Wang
Tree of Preferences for Diversified Recommendation
Hanyang Yuan, Ning Tang, Tongya Zheng et al.
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
Zhifang Zhang, Shuo He, Haobo Wang et al.